diff --git a/model/tests/test_operatingcost.py b/model/tests/test_operatingcost.py index b170ea1fc..f0df2c9c8 100644 --- a/model/tests/test_operatingcost.py +++ b/model/tests/test_operatingcost.py @@ -562,29 +562,6 @@ def test_annual_breakout_zero_cost_zero_lifetime_replacement(): assert (result == 0).all(axis=None) -def test_annual_breakout_nonzero_cost_zero_lifetime_replacement(): - soln_net_annual_funits_adopted = pd.DataFrame(soln_net_annual_funits_adopted_list[1:], - columns=soln_net_annual_funits_adopted_list[0]).set_index('Year') - soln_pds_tot_iunits_reqd = pd.DataFrame(soln_pds_tot_iunits_reqd_list[1:], - columns=soln_pds_tot_iunits_reqd_list[0]).set_index('Year') - soln_ref_tot_iunits_reqd = pd.DataFrame(soln_ref_tot_iunits_reqd_list[1:], - columns=soln_ref_tot_iunits_reqd_list[0]).set_index('Year') - ac = advanced_controls.AdvancedControls(report_end_year=2050, - soln_lifetime_capacity=0, soln_avg_annual_use=1725.04615384615, - soln_var_oper_cost_per_funit=0.0, soln_fuel_cost_per_funit=0.0, - soln_fixed_oper_cost_per_iunit=2) - oc = operatingcost.OperatingCost(ac=ac, - soln_net_annual_funits_adopted=soln_net_annual_funits_adopted, - soln_pds_tot_iunits_reqd=soln_pds_tot_iunits_reqd, - soln_ref_tot_iunits_reqd=soln_ref_tot_iunits_reqd, - conv_ref_annual_tot_iunits=None, soln_pds_annual_world_first_cost=None, - soln_ref_annual_world_first_cost=None, conv_ref_annual_world_first_cost=None, - single_iunit_purchase_year=None, soln_pds_install_cost_per_iunit=None, - conv_ref_install_cost_per_iunit=None, conversion_factor=1.0) - with pytest.raises(AssertionError): - result = oc.soln_pds_annual_breakout() - - def test_soln_pds_annual_breakout_land(): columns = ['World', 'A'] index = range(2015, 2061) diff --git a/model/tests/test_unitadoption.py b/model/tests/test_unitadoption.py index 4a33c7413..67b92888b 100644 --- a/model/tests/test_unitadoption.py +++ b/model/tests/test_unitadoption.py @@ -311,50 +311,6 @@ def test_soln_pds_cumulative_funits_bug_behavior(): pd.testing.assert_frame_equal(result.iloc[0:5], expected, check_exact=False) -def test_soln_pds_cumulative_funits_bug_behavior_ref_base_adoption(): - funits = [ - ['Year', 'World', 'OECD90', 'Eastern Europe', 'Asia (Sans Japan)', 'Middle East and Africa', - 'Latin America', 'China', 'India', 'EU', 'USA'], - [2014, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.99], - [2015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], - [2016, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], - [2017, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]] - soln_pds_funits_adopted = pd.DataFrame(funits[1:], columns=funits[0]).set_index('Year') - ac = advanced_controls.AdvancedControls(solution_category=SOLUTION_CATEGORY.LAND, - ref_base_adoption={ "World": 10.0, "OECD90": 9.0, "Eastern Europe": 8.0, - "Asia (Sans Japan)": 7.0, "Middle East and Africa": 6.0, "Latin America": 5.0, - "China": 4.0, "India": 3.0, "EU": 2.0, "USA": 1.0}) - ua = unitadoption.UnitAdoption(ac=ac, - ref_total_adoption_units=None, pds_total_adoption_units=None, - soln_pds_funits_adopted=soln_pds_funits_adopted, soln_ref_funits_adopted=None, - bug_cfunits_double_count=True) - result = ua.soln_pds_cumulative_funits() - assert result.loc[2014, 'World'] == pytest.approx(0.1) - assert result.loc[2014, 'OECD90'] == pytest.approx(9.2) - assert result.loc[2014, 'Eastern Europe'] == pytest.approx(8.3) - assert result.loc[2014, 'Asia (Sans Japan)'] == pytest.approx(7.4) - assert result.loc[2014, 'Middle East and Africa'] == pytest.approx(6.5) - assert result.loc[2014, 'Latin America'] == pytest.approx(5.6) - assert result.loc[2014, 'China'] == pytest.approx(4.7) - assert result.loc[2014, 'India'] == pytest.approx(3.8) - assert result.loc[2014, 'EU'] == pytest.approx(2.9) - assert result.loc[2014, 'USA'] == pytest.approx(1.99) - ua = unitadoption.UnitAdoption(ac=ac, - ref_total_adoption_units=None, pds_total_adoption_units=None, - soln_pds_funits_adopted=soln_pds_funits_adopted, soln_ref_funits_adopted=None, - bug_cfunits_double_count=False) - result = ua.soln_pds_cumulative_funits() - assert result.loc[2014, 'World'] == pytest.approx(0.1) - assert result.loc[2014, 'OECD90'] == pytest.approx(0.2) - assert result.loc[2014, 'Eastern Europe'] == pytest.approx(0.3) - assert result.loc[2014, 'Asia (Sans Japan)'] == pytest.approx(0.4) - assert result.loc[2014, 'Middle East and Africa'] == pytest.approx(0.5) - assert result.loc[2014, 'Latin America'] == pytest.approx(0.6) - assert result.loc[2014, 'China'] == pytest.approx(0.7) - assert result.loc[2014, 'India'] == pytest.approx(0.8) - assert result.loc[2014, 'EU'] == pytest.approx(0.9) - assert result.loc[2014, 'USA'] == pytest.approx(0.99) - def test_soln_pds_cumulative_funits_missing_data(): funits = [ diff --git a/model/unitadoption.py b/model/unitadoption.py index a67909fc1..163cb7e6e 100644 --- a/model/unitadoption.py +++ b/model/unitadoption.py @@ -378,13 +378,7 @@ def soln_pds_cumulative_funits(self): # the 2014 soln_pds_cumulative_funits, which ends up double counting 2014. # We optionally enable this bug-for-bug compatibility. # https://docs.google.com/document/d/19sq88J_PXY-y_EnqbSJDl0v9CdJArOdFLatNNUFhjEA/edit#heading=h.z9hqutnbnigx - idx = first_year.first_valid_index() - if self.ac is not None and self.ac.ref_base_adoption is not None: - # solutions updated for Drawdown 2020 have a ref_base_adoption dict - omit_main = pd.DataFrame(self.ac.ref_base_adoption, index=[idx]) - else: - # Solutions not yet updated fall back to the original code here - omit_main = self.soln_pds_funits_adopted.iloc[[0], :].fillna(0.0).copy(deep=True) + omit_main = self.soln_pds_funits_adopted.iloc[[0], :].fillna(0.0).copy(deep=True) omit_main.index.name = 'Year' main_region = dd.REGIONS[0] omit_main[main_region] = 0.0 diff --git a/solution/afforestation/ac/PDS-100p2050-Optimum-PDScustom-high-kreidnweis-Aug2019.json b/solution/afforestation/ac/PDS-100p2050-Optimum-PDScustom-high-kreidnweis-Aug2019.json deleted file mode 100644 index 3fb5cb2c1..000000000 --- a/solution/afforestation/ac/PDS-100p2050-Optimum-PDScustom-high-kreidnweis-Aug2019.json +++ /dev/null @@ -1,118 +0,0 @@ -{ - "name": "PDS-100p2050-Optimum-PDScustom-high-kreidnweis-Aug2019", - "solution_category": "land", - "vmas": "VMAs", - "description": "aug2019", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 290.462336306692, - "OECD90": 98.1783330003811, - "Eastern Europe": 44.5558196042818, - "Asia (Sans Japan)": 113.789076382508, - "Middle East and Africa": 17.4259450169749, - "Latin America": 16.5131623025461, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High growth projection based on Kreidenweis et al. (2016)", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2015, - 2016 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 668.570880189175, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 668.570880189175, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 123.369326164839, - "statistic": "mean" - }, - "soln_expected_lifetime": 26.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": -0.887731477707589, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 3.2962180259743, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 64.8575257352941, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 26.0, - "creation_date": "2019-08-11 16:50:32" -} \ No newline at end of file diff --git a/solution/afforestation/ac/PDS-84p2050-Plausible-PDScustom-low-BookVersion1.json b/solution/afforestation/ac/PDS-84p2050-Plausible-PDScustom-low-BookVersion1.json deleted file mode 100644 index e871621f3..000000000 --- a/solution/afforestation/ac/PDS-84p2050-Plausible-PDScustom-low-BookVersion1.json +++ /dev/null @@ -1,119 +0,0 @@ -{ - "name": "PDS-84p2050-Plausible-PDScustom-low-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption value was estimated by interpolating the regional data available on the afforested area in the OECD 90, Eastern Europe, Asia sans Japan, Middle East and Africa, and Latin America for the years 1990, 2000, 2005, and 2010 in the FAO 2015 publication. The interpolated data were plotted in the adoption data sheet to get the current adoption value for the year 2014. The future adoption scenarios were projected based on these regional historical growth rates. In addition, aggressive adoption scenarios assuming 100% adoption of the solution were also created, with an early adoption (75-90%) by 2030. This scenario derives the result from the \"low of all\" PDS custom adoption scenarios. The results are similar to that of the BookVersion 1 result, so no separate scenario was created for the latter. This version involves correction of the current adoption (in the previous model it was set for the year 2010), revision of the VMA data points, adjustment of custom adoption scenarios to match the results with the Book Version 1, correction of the formula used for the calculation of carbon emission at the time harvest, correction of net profit margin calculation methodology, and estimation of operational cost which was missing in the Book Version 1 results. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 297.786622386759, - "OECD90": 98.4178876451932, - "Eastern Europe": 44.6866027894336, - "Asia (Sans Japan)": 119.601702499052, - "Middle East and Africa": 17.6154482874786, - "Latin America": 17.4649811656021, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Low of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014, - 2015, - 2016 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 612.370410906229, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 612.370410906229, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 24.4833333333333, - "statistic": "mean" - }, - "soln_expected_lifetime": 20.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 5.07437553005968, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 50.696244944853, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 20.0, - "creation_date": "2018-07-30 16:55:24" -} \ No newline at end of file diff --git a/solution/afforestation/ac/PDS-99p2050-Drawdown-Optimum-PDScustom-high-BookVersion1.json b/solution/afforestation/ac/PDS-99p2050-Drawdown-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index c3cba5443..000000000 --- a/solution/afforestation/ac/PDS-99p2050-Drawdown-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,119 +0,0 @@ -{ - "name": "PDS-99p2050-Drawdown-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption value was estimated by interpolating the regional data available on the afforested area in the OECD 90, Eastern Europe, Asia sans Japan, Middle East and Africa, and Latin America for the years 1990, 2000, 2005, and 2010 in the FAO 2015 publication. The interpolated data were plotted in the adoption data sheet to get the current adoption value for the year 2014. The future adoption scenarios were projected based on these regional historical growth rates. In addition, aggressive adoption scenarios assuming 100% adoption of the solution were also created, with an early adoption (75-90%) by 2030. This scenario derives the result from the \"high of all\" PDS custom adoption scenarios. The results are slightly higher than that of the BookVersion 1 result. The changes in the result are because of the correction of the current adoption (in the previous model it was set for the year 2010), revision of the VMA data points, adjustment of custom adoption scenarios to match the results with the Book Version 1, correction of the formula used for the calculation of carbon emission at the time harvest, correction of net profit margin calculation methodology, and estimation of operational cost which was missing in the Book Version 1 results. This scenario presents both the \"Drawdown\" and \"Optimum\" scenario, based on the decision taken for the BookVersion1.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 297.786622386759, - "OECD90": 98.4178876451932, - "Eastern Europe": 44.6866027894336, - "Asia (Sans Japan)": 119.601702499052, - "Middle East and Africa": 17.6154482874786, - "Latin America": 17.4649811656021, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014, - 2015, - 2016 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 612.370410906229, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 612.370410906229, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 24.4833333333333, - "statistic": "mean" - }, - "soln_expected_lifetime": 20.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 5.07437553005968, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 50.696244944853, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 20.0, - "creation_date": "2018-07-30 16:58:29" -} \ No newline at end of file diff --git a/solution/airplanes/ac/PDS1-68p2050_149%_Efficiency_Book_Ed1.json b/solution/airplanes/ac/PDS1-68p2050_149%_Efficiency_Book_Ed1.json deleted file mode 100644 index 5a1179d5f..000000000 --- a/solution/airplanes/ac/PDS1-68p2050_149%_Efficiency_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS1-68p2050_14.9% Efficiency (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "Taking the production rate of aircraft by the two major suppliers - Airbus and Boeing, we project the production of \"efficient model\" aircraft over the future. Each aircraft in the fleet is assumed to work around an average number of passenger-km per year according to an estimate for each of single aisle and twin aisle from our brief schedule calculations including downtime for maintenance checks, and new models offer around 15% efficiency improvement. We assume that the production rate of the big players remains constant. This book scenario uses previously estimated inputs (including lifetime, annual use, operations cost and fuel emissions factors) which have been updated in the latest scenario.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 10.500501677840942, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 0.42170689469240735, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 76646661.48997816, - "pds_2014_cost": { - "value": 18028435.066958193, - "statistic": "" - }, - "ref_2014_cost": { - "value": 18028435.066958193, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 10.120965472617776, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 0.42170689469240735, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 65213534.48438975, - "npv_discount_rate": 0.0922, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 64983529.2760908, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.14916666666666664, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0017733703679999999, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0017733703679999999, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "ALL SOURCES", - "pds_source_post_2014": "ALL SOURCES", - "ref_base_adoption": { - "World": 490.5239834755743, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Book Ed.1 Scenario 1", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-12-05 09:24:01" -} \ No newline at end of file diff --git a/solution/airplanes/ac/PDS2-73p2050_3rd_Manufacturer+Retrofit_Book_Ed1.json b/solution/airplanes/ac/PDS2-73p2050_3rd_Manufacturer+Retrofit_Book_Ed1.json deleted file mode 100644 index 467e89d53..000000000 --- a/solution/airplanes/ac/PDS2-73p2050_3rd_Manufacturer+Retrofit_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS2-73p2050_3rd Manufacturer+Retrofit (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "Taking the production rate of aircraft by the two major suppliers - Airbus and Boeing, we project the production of \"efficient model\" aircraft over the future. We also assume that a third manufacturer enters the market (possibly COMAC or UAC) in 2025 and produces first single aisle then twin aisle aircraft of competitive quality. 50 aircraft per year are retrofitted to equivalent new-aircraft efficiency. Each aircraft in the fleet is assumed to work around an average number of passenger-km per year according to an estimate for each of single aisle and twin aisle from our brief schedule calculations including downtime for maintenance checks, and new models are 15% more efficient). We assume that the production rate of the big players remains constant, and the newcomer produces 60 single aisle and 30 twin aisle p.a. This book scenario uses previously estimated inputs (including lifetime, annual use, operations cost and fuel emissions factors) which have been updated in the latest scenario", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 10.500501677840942, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 0.42170689469240735, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 76646661.48997816, - "pds_2014_cost": { - "value": 18028435.066958193, - "statistic": "" - }, - "ref_2014_cost": { - "value": 18028435.066958193, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 10.120965472617776, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 0.42170689469240735, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 65213534.48438975, - "npv_discount_rate": 0.0922, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 64983529.2760908, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.14916666666666664, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0017733703679999999, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0017733703679999999, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "ALL SOURCES", - "pds_source_post_2014": "ALL SOURCES", - "ref_base_adoption": { - "World": 490.5239834755743, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Book Ed.1 Scenario 2", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-12-05 09:26:34" -} \ No newline at end of file diff --git a/solution/airplanes/ac/PDS3-73p2050_3rd_Manufacturer+Retrofit+18%_Book_Ed1.json b/solution/airplanes/ac/PDS3-73p2050_3rd_Manufacturer+Retrofit+18%_Book_Ed1.json deleted file mode 100644 index 43d88c383..000000000 --- a/solution/airplanes/ac/PDS3-73p2050_3rd_Manufacturer+Retrofit+18%_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS3-73p2050_3rd Manufacturer+Retrofit+18% (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "Taking the production rate of aircraft by the two major suppliers - Airbus and Boeing, we project the production of \"efficient model\" aircraft over the future. We also assume that a third manufacturer enters the market (possibly COMAC or UAC) in 2025 and produces first single aisle then twin aisle aircraft of competitive quality. 50 aircraft per year are retrofitted to equivalent new-aircraft efficiency. Each aircraft in the fleet is assumed to work around an average number of passenger-km per year according to an estimate for each of single aisle and twin aisle from our brief schedule calculations including downtime for maintenance checks, and new models are 18.3% more efficient). We assume that the production rate of the big players remains constant, and the newcomer produces 60 single aisle and 30 twin aisle p.a. This book scenario uses previously estimated inputs (including lifetime, annual use, operations cost and fuel emissions factors) which have been updated in the latest scenario", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 10.500501677840942, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 0.42170689469240735, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 76646661.48997816, - "pds_2014_cost": { - "value": 18028435.066958193, - "statistic": "" - }, - "ref_2014_cost": { - "value": 18028435.066958193, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 10.120965472617776, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 0.42170689469240735, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 65213534.48438975, - "npv_discount_rate": 0.0922, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 64983529.2760908, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.183, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0017733703679999999, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0017733703679999999, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "ALL SOURCES", - "pds_source_post_2014": "ALL SOURCES", - "ref_base_adoption": { - "World": 490.5239834755743, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Book Ed.1 Scenario 2", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-12-05 09:27:41" -} \ No newline at end of file diff --git a/solution/bamboo/ac/PDS-38p2050-Plausible-PDScustom-high_growth-BookVersion1.json b/solution/bamboo/ac/PDS-38p2050-Plausible-PDScustom-high_growth-BookVersion1.json deleted file mode 100644 index b9b806f54..000000000 --- a/solution/bamboo/ac/PDS-38p2050-Plausible-PDScustom-high_growth-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-38p2050-Plausible-PDScustom-high growth-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution is based on the regional data (Asia, Middle East and Africa, and Latin America) available on Bamboo area for the year 1990, 2000, 2005, and 2010 from FAO 2010 publication. This data was interpolated to get the current adoption value as on 2014. The future adoption is projected based on these historical growth rates. This scenario presents the result of the \"high growth - linear trend\" PDS custom adoption scenario. As the solution is proposed to be implemented in the degraded grassland or forest area, we have considered the \"low\" value for the carbon sequestration. It was also assumed that at the time of harvest, a minimum of 10% of the sequestered carbon will be stored and not emitted as part of the harvest related emissions, however as the lifecycle of bamboo (approx. 80 years) is beyond the period of study (2020-2050), the emission at the time of bamboo harvest was not estimated in the present model. The result of this scenario are similar to the Book Version 1, so no separate scenario was created for the latter. This version involves correction of current adoption, addition of new data points to the carbon sequestration, correction of the net profit margin calculation methodology, and estimation of operational cost which was missing in the Book Version 1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 32.8913636108367, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 18.0440250214314, - "Middle East and Africa": 3.9611495064729, - "Latin America": 10.8861890829324, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High growth, linear trend", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2015 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 871.122426602112, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 871.122426602112, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 332.382218342157, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 9.68645788700405, - "statistic": "low" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-01 09:50:36" -} \ No newline at end of file diff --git a/solution/bamboo/ac/PDS-47p2050-Drawdown-PDScustom-avg-BookVersion1.json b/solution/bamboo/ac/PDS-47p2050-Drawdown-PDScustom-avg-BookVersion1.json deleted file mode 100644 index 3aa4cfafe..000000000 --- a/solution/bamboo/ac/PDS-47p2050-Drawdown-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-47p2050-Drawdown-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution is based on the regional data (Asia, Middle East and Africa, and Latin America) available on Bamboo area for the year 1990, 2000, 2005, and 2010 from FAO 2010 publication. This data was interpolated to get the current adoption value as on 2014. The future adoption is projected based on these historical growth rates. This scenario derives the result from the \"average of all\" PDS custom adoption scenarios. As the solution is proposed to be implemented in the degraded grassland or forest area, we have considered the \"low\" value for the carbon sequestration. It was also assumed that at the time of harvest, a minimum of 10% of the sequestered carbon will be stored and not emitted as part of the harvest related emissions, however as the lifecycle of bamboo (approx. 80 years) is beyond the period of study (2020-2050), the emission at the time of bamboo harvest was not estimated in the present model. The result of this scenario are similar to the Book Version 1, so no separate scenario was created for the latter. This version involves correction of current adoption, addition of new data points to the carbon sequestration, correction of the net profit margin calculation methodology, and estimation of operational cost which was missing in the Book Version 1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 32.8913636108367, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 18.0440250214314, - "Middle East and Africa": 3.9611495064729, - "Latin America": 10.8861890829324, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2015 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 871.122426602112, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 871.122426602112, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 332.382218342157, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 9.68645788700405, - "statistic": "low" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-01 09:52:11" -} \ No newline at end of file diff --git a/solution/bamboo/ac/PDS-69p2050-Optimum-PDScustom-high-BookVersion1.json b/solution/bamboo/ac/PDS-69p2050-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index 42a36229e..000000000 --- a/solution/bamboo/ac/PDS-69p2050-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-69p2050-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution is based on the regional data (Asia, Middle East and Africa, and Latin America) available on Bamboo area for the year 1990, 2000, 2005, and 2010 from FAO 2010 publication. This data was interpolated to get the current adoption value as on 2014. The future adoption is projected based on these historical growth rates. This scenario derives the result from the \"high of all\" PDS custom adoption scenarios. As the solution is proposed to be implemented in the degraded grassland or forest area, we have considered the \"low\" value for the carbon sequestration. It was also assumed that at the time of harvest, a minimum of 10% of the sequestered carbon will be stored and not emitted as part of the harvest related emissions, however as the lifecycle of bamboo (approx. 80 years) is beyond the period of study (2020-2050), the emission at the time of bamboo harvest was not estimated in the present model. The result of this scenario are similar to the Book Version 1, so no separate scenario was created for the latter. This version involves correction of current adoption, addition of new data points to the carbon sequestration, correction of the net profit margin calculation methodology, and estimation of operational cost which was missing in the Book Version 1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 32.8913636108367, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 18.0440250214314, - "Middle East and Africa": 3.9611495064729, - "Latin America": 10.8861890829324, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2015 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 871.122426602112, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 871.122426602112, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 332.382218342157, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 9.68645788700405, - "statistic": "low" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-01 09:52:53" -} \ No newline at end of file diff --git a/solution/bamboo/tests/test_bamboo.py b/solution/bamboo/tests/test_bamboo.py index 0b6a4ba9d..b3dd6d3f0 100644 --- a/solution/bamboo/tests/test_bamboo.py +++ b/solution/bamboo/tests/test_bamboo.py @@ -11,9 +11,10 @@ solution_name = thisdir.parents[0].name # If there are long-running test failures that should be skipped, you can indicate them here. -# Someday we'll have a scanner that will check for these +# Custom code in __init__.py calculates Custom Adoption values for years 2012 and 2013, and Excel does not. +# Does not affect any other results. SCENARIO_SKIP = None -TEST_SKIP = None +TEST_SKIP = ['A23:B71'] def test_loader(): """Test that the solution can load the defined scenarios""" diff --git a/solution/biochar/ac/PDS-16p2050-Drawdown-PDScustom-high-Bookedition1.json b/solution/biochar/ac/PDS-16p2050-Drawdown-PDScustom-high-Bookedition1.json deleted file mode 100644 index 43cb4d106..000000000 --- a/solution/biochar/ac/PDS-16p2050-Drawdown-PDScustom-high-Bookedition1.json +++ /dev/null @@ -1,180 +0,0 @@ -{ - "name": "PDS-16p2050-Drawdown-PDScustom-high-Bookedition1", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "The current adoption of the solution was based on the \"Volumes of biochar transacted in 2014 and 2013 by region\" given by International Biochar Initiative 2014. The future adoption scenarios are based on the linear and 2nd degree polynomial trend of the total volume of biochar transacted between 2013-2015. Some scenarios have assumed 10-20% adoption of biochar based on the Total Available Market (TAM) as projected for the year 2050. This scenario derives the result from the \"high of all\" PDS custom adoption scenarios. The result are higher than the Book edition 1, largely due to the correction of TAM for biochar. In addition, this model also includes revisions made to the financial calculations. ", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 1.0, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.0, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0, - "pds_2014_cost": { - "value": 21639272.7272727, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 21639272.7272727, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 410116.363636364, - "statistic": "mean" - }, - "soln_avg_annual_use": { - "value": 20505.8181818182, - "statistic": "mean" - }, - "soln_var_oper_cost_per_funit": { - "value": 193.920714285714, - "statistic": "mean" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.02, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": -0.958331730769231, - "statistic": "mean" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": true, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "ALL SOURCES", - "pds_source_post_2014": "ALL SOURCES", - "ref_base_adoption": { - "World": 7457.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_custom_name": "High of All Custom PDS Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-08-03 16:46:24" -} \ No newline at end of file diff --git a/solution/biochar/ac/PDS-20p2050-Optimum-PDScustom-max-Bookedition1.json b/solution/biochar/ac/PDS-20p2050-Optimum-PDScustom-max-Bookedition1.json deleted file mode 100644 index 166df6950..000000000 --- a/solution/biochar/ac/PDS-20p2050-Optimum-PDScustom-max-Bookedition1.json +++ /dev/null @@ -1,180 +0,0 @@ -{ - "name": "PDS-20p2050-Optimum-PDScustom-max-Bookedition1", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "The current adoption of the solution was based on the \"Volumes of biochar transacted in 2014 and 2013 by region\" given by International Biochar Initiative 2014. The future adoption scenarios are based on the linear and 2nd degree polynomial trend of the total volume of biochar transacted between 2013-2015. Some scenarios have assumed 10-20% adoption of biochar based on the Total Available Market (TAM) as projected for the year 2050. This scenario presents the result of the \"max linear trend\" PDS custom adoption scenario. The result are higher than the Book edition 1, largely due to the correction of TAM for biochar. In addition, this model also includes revisions made to the financial calculations. 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Similar calculations to the Plausible Scenario were considered for the electricity generated from perennial crops.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.07, - "pds_2014_cost": { - "value": 4440.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 4440.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.075, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 150171.4399091095, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 5751.246634816959, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.015, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 47.95705623980464, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.026376896689174464, - "npv_discount_rate": 0.094, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 55500.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 31860.185185185182, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Optimum Scenario", - "ref_base_adoption": { - "World": 55.418723948374556, - "OECD90": 1.374902800958828, - "Eastern Europe": 0.049897295303677716, - "Asia (Sans Japan)": 4.292985516188078, - "Middle East and Africa": 0.41937969656046536, - "Latin America": 12.138577652661485, - "China": 4.6261055160089875, - "India": 3.3303919448438495, - "EU": 17.146488383747197, - "USA": 9.810373894058708 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Baseline Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Low", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2019-01-13 15:23:32" -} \ No newline at end of file diff --git a/solution/biomass/ac/PDS-1p2050-Drawdown_Book_Ed_1.json b/solution/biomass/ac/PDS-1p2050-Drawdown_Book_Ed_1.json deleted file mode 100644 index 7b66f2fd7..000000000 --- a/solution/biomass/ac/PDS-1p2050-Drawdown_Book_Ed_1.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "PDS-1p2050-Drawdown (Book Ed. 1)", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Drawdown Scenario, This scenario takes a medium growth adoption trajectory from the IEA ETP 4\u00b0C Scenario and Greenpeace Reference Scenario. For this scenario, instead of applying a constant share of perennials throughout the modeling period, an increasing share was applied based on the production of perennial energy crops, reaching 51 percent in 2050.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.07, - "pds_2014_cost": { - "value": 4440.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 4440.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.075, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 150171.4399091095, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 5751.246634816959, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.015, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 47.95705623980464, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.026376896689174464, - "npv_discount_rate": 0.094, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 55500.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 31860.185185185182, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Drawdown Scenario", - "ref_base_adoption": { - "World": 55.418723948374556, - "OECD90": 1.374902800958828, - "Eastern Europe": 0.049897295303677716, - "Asia (Sans Japan)": 4.292985516188078, - "Middle East and Africa": 0.41937969656046536, - "Latin America": 12.138577652661485, - "China": 4.6261055160089875, - "India": 3.3303919448438495, - "EU": 17.146488383747197, - "USA": 9.810373894058708 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Conservative Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Medium", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2019-01-13 15:22:47" -} \ No newline at end of file diff --git a/solution/biomass/ac/PDS-2p2050-Plausible_Book_Ed_1.json b/solution/biomass/ac/PDS-2p2050-Plausible_Book_Ed_1.json deleted file mode 100644 index aff3c2391..000000000 --- a/solution/biomass/ac/PDS-2p2050-Plausible_Book_Ed_1.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "PDS-2p2050-Plausible (Book Ed. 1)", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Plausible Scenario, This scenario follows a medium growth trajectory derived from the biomass and waste electricity generation projections of the 2\u00b0C Scenario of Energy Technology Perspectives from the International Energy Agency (IEA, 2016), and the Energy [R]evolution Scenario (Greenpeace, 2015). The share of biomass from these values is estimated to be 77.8 percent, of which 20.2 percent is assumed to use perennial biomass as a feedstock.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.07, - "pds_2014_cost": { - "value": 4440.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 4440.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.075, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 150171.4399091095, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 5751.246634816959, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.015, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 47.95705623980464, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.026376896689174464, - "npv_discount_rate": 0.094, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 55500.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 31860.185185185182, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Plausible Scenario", - "ref_base_adoption": { - "World": 55.418723948374556, - "OECD90": 1.374902800958828, - "Eastern Europe": 0.049897295303677716, - "Asia (Sans Japan)": 4.292985516188078, - "Middle East and Africa": 0.41937969656046536, - "Latin America": 12.138577652661485, - "China": 4.6261055160089875, - "India": 3.3303919448438495, - "EU": 17.146488383747197, - "USA": 9.810373894058708 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Ambitious Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Medium", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2019-01-13 15:21:20" -} \ No newline at end of file diff --git a/solution/composting/ac/PDS-34p2050-May2020.json b/solution/composting/ac/PDS-34p2050-May2020.json deleted file mode 100644 index 78796e9e2..000000000 --- a/solution/composting/ac/PDS-34p2050-May2020.json +++ /dev/null @@ -1,150 +0,0 @@ -{ - "name": "PDS-34p2050-May2020", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "All regions follow a US historical growth path, (with a max theoretical adoption of 46%) for total global adoption of 34% of the organic fraction of MSW by 2050 ", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 272081195.3789954, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 30.0, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.0, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 139157285.575107, - "xls cell formula": "H101+D192" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0, - "pds_2014_cost": { - "value": 139720139.19252658, - "statistic": "" - }, - "ref_2014_cost": { - "value": 139720139.19252658, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 30.0, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.0, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 139847635.319605, - "xls cell formula": "H116+D192" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.064, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 559239.425, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 160128.9512774807, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "Organic Fraction of MSW - From Waste TAM", - "ref_source_post_2014": "Organic Fraction of MSW - From Waste TAM", - "pds_source_post_2014": "Drawdown TAM: Organic Fraction of MSW - Waste TAM", - "ref_base_adoption": { - "World": 131.540502616249, - "OECD90": 63.0763380296636, - "Eastern Europe": 2.88637729277583, - "Asia (Sans Japan)": 60.0288227406692, - "Middle East and Africa": 5.31812672525022, - "Latin America": 0.230837827890141, - "China": 4.6019002576339, - "India": 42.2618412201257, - "EU": 39.82045, - "USA": 22.77 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "PDS1-US Growth Path, May2020", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2020-05-12 14:50:17" -} \ No newline at end of file diff --git a/solution/composting/ac/PDS-36p2050-May2020.json b/solution/composting/ac/PDS-36p2050-May2020.json deleted file mode 100644 index 16272384c..000000000 --- a/solution/composting/ac/PDS-36p2050-May2020.json +++ /dev/null @@ -1,150 +0,0 @@ -{ - "name": "PDS-36p2050-May2020", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "All regions follow historical EU growth path (max 55% adoption) for total global adoption of 36% by 2050. ", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 272081195.3789954, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 30.0, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.0, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 139157285.575107, - "xls cell formula": "H101+D192" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0, - "pds_2014_cost": { - "value": 139720139.19252658, - "statistic": "" - }, - "ref_2014_cost": { - "value": 139720139.19252658, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 30.0, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.0, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 139847635.319605, - "xls cell formula": "H116+D192" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.064, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 559239.425, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 160128.9512774807, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "Organic Fraction of MSW - From Waste TAM", - "ref_source_post_2014": "Organic Fraction of MSW - From Waste TAM", - "pds_source_post_2014": "Drawdown TAM: Organic Fraction of MSW - Waste TAM", - "ref_base_adoption": { - "World": 131.540502616249, - "OECD90": 63.0763380296636, - "Eastern Europe": 2.88637729277583, - "Asia (Sans Japan)": 60.0288227406692, - "Middle East and Africa": 5.31812672525022, - "Latin America": 0.230837827890141, - "China": 4.6019002576339, - "India": 42.2618412201257, - "EU": 39.82045, - "USA": 22.77 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "PDS2-EU Growth Path, May 2020", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2020-05-12 14:52:16" -} \ No newline at end of file diff --git a/solution/conservationagriculture/ac/PDS-25p2050-PDS-25p2050-Optimum-PDScustom-avg-BookVersion1.json b/solution/conservationagriculture/ac/PDS-25p2050-PDS-25p2050-Optimum-PDScustom-avg-BookVersion1.json deleted file mode 100644 index 1382fc81c..000000000 --- a/solution/conservationagriculture/ac/PDS-25p2050-PDS-25p2050-Optimum-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-25p2050-PDS-25p2050-Optimum-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the result based on the revisions made to the current adoption, first cost and net profit margin of the solution, and to the conventional operational cost and net profit margin. In addition, the revised model also estimated the operational cost which was missing in the Book Version 1. The growth rates used to develop the future adoption of CA are the one which were used in the Book Version 1. This scenario represent the result of the \"average of all\" PDS custom scenarios. As the solution is a bridge solution to Regenerative Agriculture (RA), the future growth area of this solution, also includes the area which was transferred from this solution to the RA. This scenario is correspondent with the \"high of all\" PDS custom scenario of RA.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 71.6843318543261, - "OECD90": 21.7864515209236, - "Eastern Europe": 5.79724982776745, - "Asia (Sans Japan)": 7.68605153649748, - "Middle East and Africa": 0.244451347436256, - "Latin America": 36.1701276217012, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 943.57050076254, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3789.87993810478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 599.027530592674, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0873333333333333, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.233577433333333, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 0.779012170166733, - "Temperate-Humid": 0.38133569669305, - "Boreal-Humid": 0.38133569669305, - "Tropical-Semi-Arid": 0.611047670510371, - "Temperate-Semi-Arid": 0.245348499172125, - "Boreal-Semi-Arid": 0.245348499172125, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 16:12:13" -} \ No newline at end of file diff --git a/solution/conservationagriculture/ac/PDS-30p2050-Drawdown-PDScustom-high,highearly-BookVersion1.json b/solution/conservationagriculture/ac/PDS-30p2050-Drawdown-PDScustom-high,highearly-BookVersion1.json deleted file mode 100644 index ab31e2a42..000000000 --- a/solution/conservationagriculture/ac/PDS-30p2050-Drawdown-PDScustom-high,highearly-BookVersion1.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-30p2050-Drawdown-PDScustom-high,highearly-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the result based on the revisions made to the current adoption, first cost and net profit margin of the solution, and to the conventional operational cost and net profit margin. In addition, the revised model also estimated the operational cost which was missing in the Book Version 1. The growth rates used to develop the future adoption of CA are the one which were used in the Book Version 1. This represent the result of the \"high-high early adoption, polynomial trend\" PDS custom scenario. As the solution is a bridge solution to Regenerative Agriculture (RA), the future growth area of this solution, also includes the area which was transferred from this solution to the RA. This scenario is correspondent with the \"max linear trend\" PDS custom scenario of RA. Major changes in the financial results are due to the corrections made to the calculation of net profit margin, correction of first cost, and estimation of operational cost which was missing in the Book Version1.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 71.6843318543261, - "OECD90": 21.7864515209236, - "Eastern Europe": 5.79724982776745, - "Asia (Sans Japan)": 7.68605153649748, - "Middle East and Africa": 0.244451347436256, - "Latin America": 36.1701276217012, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High,High Early Adoption, Polynomial Trend", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 943.57050076254, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3789.87993810478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 599.027530592674, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0873333333333333, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.233577433333333, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 0.779012170166733, - "Temperate-Humid": 0.38133569669305, - "Boreal-Humid": 0.38133569669305, - "Tropical-Semi-Arid": 0.611047670510371, - "Temperate-Semi-Arid": 0.245348499172125, - "Boreal-Semi-Arid": 0.245348499172125, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 16:11:41" -} \ No newline at end of file diff --git a/solution/conservationagriculture/ac/PDS-39p2050-Plausible-PDScustom-high-BookVersion1.json b/solution/conservationagriculture/ac/PDS-39p2050-Plausible-PDScustom-high-BookVersion1.json deleted file mode 100644 index 24de72b62..000000000 --- a/solution/conservationagriculture/ac/PDS-39p2050-Plausible-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-39p2050-Plausible-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the result based on the revisions made to the current adoption, first cost and net profit margin of the solution, and to the conventional operational cost and net profit margin. In addition, the revised model also estimated the operational cost which was missing in the Book Version 1. The growth rates used to develop the future adoption of CA are the one which were used in the Book Version 1. This scenario derives result from \"high of all\" PDS custom scenarios. As the solution is a bridge solution to Regenerative Agriculture (RA), the future growth area of this solution, also includes the area which was transferred from this solution to the RA. This scenario is correspondent with the \"average of all\" PDS custom scenario of RA. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 71.6843318543261, - "OECD90": 21.7864515209236, - "Eastern Europe": 5.79724982776745, - "Asia (Sans Japan)": 7.68605153649748, - "Middle East and Africa": 0.244451347436256, - "Latin America": 36.1701276217012, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 943.57050076254, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3789.87993810478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 599.027530592674, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0873333333333333, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.233577433333333, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 0.779012170166733, - "Temperate-Humid": 0.38133569669305, - "Boreal-Humid": 0.38133569669305, - "Tropical-Semi-Arid": 0.611047670510371, - "Temperate-Semi-Arid": 0.245348499172125, - "Boreal-Semi-Arid": 0.245348499172125, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 16:11:07" -} \ No newline at end of file diff --git a/solution/electricvehicles/ac/PDS1-16p2050-Based_on_IEA_2DS_Book_Ed1.json b/solution/electricvehicles/ac/PDS1-16p2050-Based_on_IEA_2DS_Book_Ed1.json deleted file mode 100644 index ea2d54892..000000000 --- a/solution/electricvehicles/ac/PDS1-16p2050-Based_on_IEA_2DS_Book_Ed1.json +++ /dev/null @@ -1,156 +0,0 @@ -{ - "name": "PDS1-16p2050-Based on IEA 2DS (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "vma_values": { - "Current Average Car Occupancy": 1.62318069972403 - }, - "description": "We use the IEA's 2DS projection of on-road vehicles (ETP 2016) as a base and convert to passenger-km using annual usage rates and average occupancy from ICCT. ", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 27301.838757440706, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 0.00031246110689814923, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 2.48071096456146e-05, - "statistic": "mean" - }, - "conv_var_oper_cost_per_funit": { - "value": 11798368.442343, - "statistic": "mean" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 7952.96624522827, - "statistic": "mean" - }, - "conv_fuel_cost_per_funit": 55302452.42866199, - "pds_2014_cost": { - "value": 47609.897539880934, - "statistic": "" - }, - "ref_2014_cost": { - "value": 47609.897539880934, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0215, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 0.00031246110689814923, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 2.480710964561463e-05, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 4993722.539303601, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 7952.96624522827, - "statistic": "mean" - }, - "soln_fuel_cost_per_funit": 21463528.037433565, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.112943427913429, - "statistic": "mean" - }, - "conv_fuel_consumed_per_funit": { - "value": 52941803.48093162, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.897390344515709, - "statistic": "mean" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 9.679024775197812, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 10.251543667017724, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": true, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 16.701444916159307, - "OECD90": 14.405959906291683, - "Eastern Europe": 8.68248837596512e-05, - "Asia (Sans Japan)": 2.7858260096477, - "Middle East and Africa": 8.68248837596512e-05, - "Latin America": 8.68248837596512e-05, - "China": 2.6861138324271523, - "India": 0.09962535233678836, - "EU": 4.508096807458965, - "USA": 6.7600117997589235 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Book Ed.1 Scenario 1", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-02-19 09:43:38" -} \ No newline at end of file diff --git a/solution/electricvehicles/ac/PDS2-30p2050-Based_on_IEA_2012_ETP_Book_Ed1.json b/solution/electricvehicles/ac/PDS2-30p2050-Based_on_IEA_2012_ETP_Book_Ed1.json deleted file mode 100644 index 64a4d5d6c..000000000 --- a/solution/electricvehicles/ac/PDS2-30p2050-Based_on_IEA_2012_ETP_Book_Ed1.json +++ /dev/null @@ -1,156 +0,0 @@ -{ - "name": "PDS2-30p2050-Based on IEA (2012 ETP) (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "vma_values": { - "Current Average Car Occupancy": 1.62318069972403 - }, - "description": "Using the IEA's Energy Technology Perspectives 2012 projections of EV sales' growth, we project the sales and then global EV stock. Assuming the ICCT's global car occupancy average and a 50% growth in this occupancy by 2050, we estimate the total passenger-km of EV during the period of analysis.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 27301.838757440706, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 0.00031246110689814923, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 2.48071096456146e-05, - "statistic": "mean" - }, - "conv_var_oper_cost_per_funit": { - "value": 11798301.217552487, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 6362.37299618263, - "statistic": "mean" - }, - "conv_fuel_cost_per_funit": 55302452.42866199, - "pds_2014_cost": { - "value": 47609.897539880934, - "statistic": "" - }, - "ref_2014_cost": { - "value": 47609.897539880934, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0215, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 0.00031246110689814923, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 3.100888705701825e-05, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 4993722.539303601, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 6362.37299618263, - "statistic": "mean" - }, - "soln_fuel_cost_per_funit": 17170822.429946873, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.09035474233074314, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 52941803.48093162, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.9179199248358034, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 9.679024775197812, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 10.251543667017724, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": true, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 16.701444916159307, - "OECD90": 14.405959906291683, - "Eastern Europe": 8.68248837596512e-05, - "Asia (Sans Japan)": 2.7858260096477, - "Middle East and Africa": 8.68248837596512e-05, - "Latin America": 8.68248837596512e-05, - "China": 2.6861138324271523, - "India": 0.09962535233678836, - "EU": 4.508096807458965, - "USA": 6.7600117997589235 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Book Ed.1 Scenario 2", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-12-31 21:52:16" -} \ No newline at end of file diff --git a/solution/electricvehicles/ac/PDS3-40p2050-Based_on_IEA_2012_ETP+Double_Occu_Book_Ed1.json b/solution/electricvehicles/ac/PDS3-40p2050-Based_on_IEA_2012_ETP+Double_Occu_Book_Ed1.json deleted file mode 100644 index e5b7c7b24..000000000 --- a/solution/electricvehicles/ac/PDS3-40p2050-Based_on_IEA_2012_ETP+Double_Occu_Book_Ed1.json +++ /dev/null @@ -1,156 +0,0 @@ -{ - "name": "PDS3-40p2050-Based on IEA (2012 ETP)+Double Occu (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "vma_values": { - "Current Average Car Occupancy": 1.62318069972403 - }, - "description": "Using the IEA's Energy Technology Perspectives 2012 projections of EV sales' growth, we project the sales and then global EV stock. Assuming twice the ICCT's global car occupancy average, we estimate the total passenger-km of EV during the period of analysis.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 27301.838757440706, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 0.00031246110689814923, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 2.48071096456146e-05, - "statistic": "mean" - }, - "conv_var_oper_cost_per_funit": { - "value": 11798301.217552487, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 3976.48312261414, - "statistic": "mean" - }, - "conv_fuel_cost_per_funit": 55302452.42866199, - "pds_2014_cost": { - "value": 47609.897539880934, - "statistic": "" - }, - "ref_2014_cost": { - "value": 47609.897539880934, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0215, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 0.00031246110689814923, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 4.96142192912292e-05, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 4993722.539303601, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 3976.48312261414, - "statistic": "mean" - }, - "soln_fuel_cost_per_funit": 17170822.429946873, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.07081975120966608, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 52940977.65763215, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 1.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 9.679024775197812, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 10.251543667017724, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": true, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 16.701444916159307, - "OECD90": 14.405959906291683, - "Eastern Europe": 8.68248837596512e-05, - "Asia (Sans Japan)": 2.7858260096477, - "Middle East and Africa": 8.68248837596512e-05, - "Latin America": 8.68248837596512e-05, - "China": 2.6861138324271523, - "India": 0.09962535233678836, - "EU": 4.508096807458965, - "USA": 6.7600117997589235 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Book Ed.1 Scenario 3", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-12-31 21:53:17" -} \ No newline at end of file diff --git a/solution/farmlandrestoration/ac/PDS-52p2050-Drawdown-PDScustom-avg-BookVersion1.json b/solution/farmlandrestoration/ac/PDS-52p2050-Drawdown-PDScustom-avg-BookVersion1.json deleted file mode 100644 index aed8a9f6d..000000000 --- a/solution/farmlandrestoration/ac/PDS-52p2050-Drawdown-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,114 +0,0 @@ -{ - "name": "PDS-52p2050-Drawdown-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is based on data points available for India, EU, and Australia. The future adoption is based on the IPCC and UNEP targets towards the restoration of degraded lands. Since, abandoned farmlands are a subset of degraded land, it was assumed that their restoration will also follow similar trends. This scenario derives result from the \"average of all\" PDS custom scenarios. The results are similar to that of the Book Version1, so no new scenario was created for the latter. This revised model involves changes in the financial variables, correction of the net profit margin calculation methodology, and estimation of operational cost which was missing in the Book Version1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 9.619693, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 446.823352380952, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 446.823352380952, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 376.854590391157, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 1.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.32526666666667, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-03 14:53:34" -} \ No newline at end of file diff --git a/solution/farmlandrestoration/ac/PDS-87p2050-Optimum-PDScustom-high-BookVersion1.json b/solution/farmlandrestoration/ac/PDS-87p2050-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index 8fb8f2d7b..000000000 --- a/solution/farmlandrestoration/ac/PDS-87p2050-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,114 +0,0 @@ -{ - "name": "PDS-87p2050-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is based on data points available for India, EU, and Australia. The future adoption is based on the IPCC and UNEP targets towards the restoration of degraded lands. Since, abandoned farmlands are a subset of degraded land, it was assumed that their restoration will also follow similar trends. This scenario derives result from the \"high of all\" PDS custom scenarios. The results are similar to that of the Book Version1, so no new scenario was created for the latter. This revised model involves changes in the financial variables, correction of the net profit margin calculation methodology, and estimation of operational cost which was missing in the Book Version1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 9.619693, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 446.823352380952, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 446.823352380952, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 376.854590391157, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 1.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.32526666666667, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-03 14:54:16" -} \ No newline at end of file diff --git a/solution/forestprotection/ac/PDS-87p2050-Plausible-PDScustom-avg-BookVersion1.json b/solution/forestprotection/ac/PDS-87p2050-Plausible-PDScustom-avg-BookVersion1.json deleted file mode 100644 index d52c47c67..000000000 --- a/solution/forestprotection/ac/PDS-87p2050-Plausible-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,122 +0,0 @@ -{ - "name": "PDS-87p2050-Plausible-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption is based on the FAO 2015 estimates for global area under forest protection. The future adoption scenarios are based on the national and international commitments for forest protection. Considering a higher rate of forest degradation and reduced area of intact forest, adoption scenarios are build to maximize the area under forest protection. Thus, protection of 80%-100% of the intact forest were assumed in different custom adoption scenarios with some scenarios assuming an early adoption 75-90% by 2030. This scenario derives the result from the \"average of all\" PDS custom adoption scenarios. The results are similar to that of the Book Version 1, so no new scenario was created for the latter. This model upgrade involves, changes in the TLA, current adoption, and creation of new custom adoption scenarios. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 651.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_pds_adoption_custom_high_sd_mult": 1.5, - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 313.791126867655, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.596666666666667, - "statistic": "mean" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.003074, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 177.3, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 1.57962432447763e-05, - "statistic": "mean" - }, - "delay_protection_1yr": true, - "delay_regrowth_1yr": true, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2018-07-26 10:08:59" -} \ No newline at end of file diff --git a/solution/forestprotection/ac/PDS-92p2050-Optimum-PDScustom-high-BookVersion1.json b/solution/forestprotection/ac/PDS-92p2050-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index be1db4b89..000000000 --- a/solution/forestprotection/ac/PDS-92p2050-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,122 +0,0 @@ -{ - "name": "PDS-92p2050-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption is based on the FAO 2015 estimates for global area under forest protection. The future adoption scenarios are based on the national and international commitments for forest protection. Considering a higher rate of forest degradation and reduced area of intact forest, adoption scenarios are build to maximize the area under forest protection. Thus, protection of 80%-100% of the intact forest were assumed in different custom adoption scenarios with some scenarios assuming an early adoption 75-90% by 2030. This scenario derives the result from the \"high of all\" PDS custom adoption scenarios, with standard deviation input set to \"1.5\" in the Custom PDS Adoption sheet. The results are marginally higher than the Book Version 1, so no new scenario was created for the latter. This model upgrade involves, changes in the TLA, current adoption, and creation of new custom adoption scenarios. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 651.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_pds_adoption_custom_high_sd_mult": 1.5, - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 313.791126867655, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.596666666666667, - "statistic": "mean" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.003074, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 177.3, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 1.57962432447763e-05, - "statistic": "mean" - }, - "delay_protection_1yr": true, - "delay_regrowth_1yr": true, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2018-07-26 10:10:49" -} \ No newline at end of file diff --git a/solution/forestprotection/tests/test_forestprotection.py b/solution/forestprotection/tests/test_forestprotection.py index 0b6a4ba9d..b3dd6d3f0 100644 --- a/solution/forestprotection/tests/test_forestprotection.py +++ b/solution/forestprotection/tests/test_forestprotection.py @@ -11,9 +11,10 @@ solution_name = thisdir.parents[0].name # If there are long-running test failures that should be skipped, you can indicate them here. -# Someday we'll have a scanner that will check for these +# Custom code in __init__.py calculates Custom Adoption values for years 2012 and 2013, and Excel does not. +# Does not affect any other results. SCENARIO_SKIP = None -TEST_SKIP = None +TEST_SKIP = ['A23:B71'] def test_loader(): """Test that the solution can load the defined scenarios""" diff --git a/solution/greenroofs/__init__.py b/solution/greenroofs/__init__.py index fc82c1c49..0e1661621 100644 --- a/solution/greenroofs/__init__.py +++ b/solution/greenroofs/__init__.py @@ -133,7 +133,7 @@ def __init__(self, scen=None): pds_adoption_trend_per_region=pds_adoption_trend_per_region, pds_adoption_is_single_source=pds_adoption_is_single_source) - self.ef = emissionsfactors.ElectricityGenOnGrid(ac=self.ac) + self.ef = emissionsfactors.ElectricityGenOnGrid(ac=self.ac,grid_emissions_version=1) self.ua = unitadoption.UnitAdoption(ac=self.ac, ref_total_adoption_units=ref_tam_per_region, pds_total_adoption_units=pds_tam_per_region, diff --git a/solution/hybridcars/ac/PDS1-6p2050-Conservative_Book_Ed1.json b/solution/hybridcars/ac/PDS1-6p2050-Conservative_Book_Ed1.json deleted file mode 100644 index c1505491c..000000000 --- a/solution/hybridcars/ac/PDS1-6p2050-Conservative_Book_Ed1.json +++ /dev/null @@ -1,155 +0,0 @@ -{ - "name": "PDS1-6p2050-Conservative (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We use the average of collected conservative projections from several scenarios (including IEA 4DS, and Navigant Research for hybrid sales/stock and usage estimates from ICCT Global Roadmap model data). 50% of hybrid pass-km are urban each year.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 27301.838757440706, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 312461.1068981493, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 24807.10964561463, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0117983012175525, - "statistic": "mean" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 9794.33508829171, - "statistic": "mean" - }, - "conv_fuel_cost_per_funit": 0.0553033150884721, - "pds_2014_cost": { - "value": 32952.42190413766, - "statistic": "" - }, - "ref_2014_cost": { - "value": 32952.42190413766, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.03, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 384805.9565014755, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 24807.1096456147, - "statistic": "mean" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.00700545722102493, - "statistic": "mean" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 9794.33508829171, - "statistic": "mean" - }, - "soln_fuel_cost_per_funit": 0.0349320683301916, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0529418034809316, - "statistic": "mean" - }, - "soln_fuel_efficiency_factor": { - "value": 0.368354893837583, - "statistic": "mean" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 9.67902477519781, - "statistic": "mean" - }, - "soln_indirect_co2_per_iunit": { - "value": 9.10961215909091, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": true, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 57650630795.526825, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 78638537576.59837 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_prognostication_source": "Conservative Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Medium", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-02-19 06:27:33" -} \ No newline at end of file diff --git a/solution/hybridcars/ac/PDS3-5p2050-Ambitious+DoubleOccu_Book_Ed1.json b/solution/hybridcars/ac/PDS3-5p2050-Ambitious+DoubleOccu_Book_Ed1.json deleted file mode 100644 index 4bb554271..000000000 --- a/solution/hybridcars/ac/PDS3-5p2050-Ambitious+DoubleOccu_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS3-5p2050-Ambitious+DoubleOccu (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We take the Average of two Ambitious adoption scenarios (on Adoption Data tab): Interpolation of IEA 2016 ETP 2DS(2016), and World Energy Council (2011) (both with annual use of ICCT Roadmap Model). We then double the HEV car occupancy from 2017 and interpolate back to current adoption for 2014. Adoption is limited to remaining TAM after other higher priority modes are adopted. Adoption is therefore drastically reduced to avoid TAM overshoot.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 27301.838757440706, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 312461.1068981493, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 24807.10964561463, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0117983012175525, - "statistic": "mean" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 3976.4831226141373, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0553033150884721, - "pds_2014_cost": { - "value": 32952.42190413766, - "statistic": "" - }, - "ref_2014_cost": { - "value": 32952.42190413766, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.03, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 384805.9565014755, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 49614.2192912293, - "statistic": "mean" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.00700545722102493, - "statistic": "mean" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 3976.4831226141373, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.034928669582753175, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0529418034809316, - "statistic": "mean" - }, - "soln_fuel_efficiency_factor": { - "value": 0.3684064982866756, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 9.65160502652402, - "statistic": "mean" - }, - "soln_indirect_co2_per_iunit": { - "value": 10.01, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": true, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 57650630795.526825, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 78638537576.59837 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book - Edition 1- Quick Doubling of Hybrid Car Occupancy", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-12-31 21:50:00" -} \ No newline at end of file diff --git a/solution/improvedrice/ac/PDS-54p2050-Plausible-PDScustom-avg-BookVersion1.json b/solution/improvedrice/ac/PDS-54p2050-Plausible-PDScustom-avg-BookVersion1.json deleted file mode 100644 index f7635de76..000000000 --- a/solution/improvedrice/ac/PDS-54p2050-Plausible-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-54p2050-Plausible-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption was only available for the \"direct seeded rice\", which is one of the practices proposed under this solution. However, due to the limitation of the required data, we have used the average adoption of direct seeded rice across different countries as the current adoption for this solution. The future area under this solution is projected based on the available adoption data at the country level, which is largely available for the Asian region. As the rice is primarily cultivated in the Asian region, it is assumed that the other regions will also follow the similar trends. The projected scenarios were based on the average to high adoption growth rate with some of the scenarios assuming an early adoption (75% by 2030). This scenario presents the result of the \"average of all\" PDS custom adoption scenario. This version also involves the correction of the current adoption, conventional operational cost and net profit margin, solution net profit margin with revised methodology and the estimation of operational cost which was missing in the Book Version 1 results. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 2.8510575, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 652.735403234368, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 1176.99596120478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 384.346487067692, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": -0.0294026934864787, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": -0.384685714285714, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": 5.60113953488372, - "statistic": "mean" - }, - "tch4_co2_rplu_rate": "Annual", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.45484, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 10:00:58" -} \ No newline at end of file diff --git a/solution/improvedrice/ac/PDS-80p2050-Drawdown-PDScustom-high-BookVersion1.json b/solution/improvedrice/ac/PDS-80p2050-Drawdown-PDScustom-high-BookVersion1.json deleted file mode 100644 index d1b857894..000000000 --- a/solution/improvedrice/ac/PDS-80p2050-Drawdown-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-80p2050-Drawdown-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption was only available for the \"direct seeded rice\", which is one of the practices proposed under this solution. However, due to the limitation of the required data, we have used the average adoption of direct seeded rice across different countries as the current adoption for this solution. The future area under this solution is projected based on the available adoption data at the country level, which is largely available for the Asian region. As the rice is primarily cultivated in the Asian region, it is assumed that the other regions will also follow the similar trends. The projected scenarios were based on the average to high adoption growth rate with some of the scenarios assuming an early adoption (75% by 2030). This scenario presents the result of the \"high of all\" PDS custom adoption scenario. This version also involves the correction of the current adoption, conventional operational cost and net profit margin, solution net profit margin with revised methodology and the estimation of operational cost which was missing in the Book Version 1 results. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 2.8510575, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 652.735403234368, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 1176.99596120478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 384.346487067692, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": -0.0294026934864787, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": -0.384685714285714, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": 5.60113953488372, - "statistic": "mean" - }, - "tch4_co2_rplu_rate": "Annual", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.45484, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 10:01:41" -} \ No newline at end of file diff --git a/solution/improvedrice/tests/test_improvedrice.py b/solution/improvedrice/tests/test_improvedrice.py index 0b6a4ba9d..b3dd6d3f0 100644 --- a/solution/improvedrice/tests/test_improvedrice.py +++ b/solution/improvedrice/tests/test_improvedrice.py @@ -11,9 +11,10 @@ solution_name = thisdir.parents[0].name # If there are long-running test failures that should be skipped, you can indicate them here. -# Someday we'll have a scanner that will check for these +# Custom code in __init__.py calculates Custom Adoption values for years 2012 and 2013, and Excel does not. +# Does not affect any other results. SCENARIO_SKIP = None -TEST_SKIP = None +TEST_SKIP = ['A23:B71'] def test_loader(): """Test that the solution can load the defined scenarios""" diff --git a/solution/indigenouspeoplesland/ac/PDS-61p2050-Plausible-PDScustom-low-BookVersion1.json b/solution/indigenouspeoplesland/ac/PDS-61p2050-Plausible-PDScustom-low-BookVersion1.json deleted file mode 100644 index 8adb8fe36..000000000 --- a/solution/indigenouspeoplesland/ac/PDS-61p2050-Plausible-PDScustom-low-BookVersion1.json +++ /dev/null @@ -1,121 +0,0 @@ -{ - "name": "PDS-61p2050-Plausible-PDScustom-low-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution was based on the estimates given by Rights and Resources Initiative 2014. Future adoption of forest area under Indigenous People (IP) management was built based on the percent area under IP management given for the year 2002 (21%), 2008 (28%), 2013 (31%), and 2030 (50%) by Rights and Resources 2016 publication. Further assumption was made that the forest area under indigenous people management will increase to 50-100% by 2050, under different custom adoption scenarios.This scenario derives the result from the \"low of all\" PDS custom scenarios. The results are same as that of the Book Version 1, so no separate scenario was created for the latter. The revised model involves revisions made to the TLA, current adoption, carbon seq value, and custom adoption scenarios.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 416.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Low of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 313.79112686765546, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.41883186313819837, - "statistic": "" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.003074, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 262.941683097068, - "xls cell formula": "D189+(B138/'Variable Meta-analysis'!$AN$32)" - }, - "disturbance_rate": { - "value": 0.00048945, - "statistic": "mean" - }, - "delay_protection_1yr": false, - "delay_regrowth_1yr": false, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2018-07-26 21:39:29" -} \ No newline at end of file diff --git a/solution/indigenouspeoplesland/ac/PDS-76p2050-Drawdown-PDScustom-avg-BppkVersion1.json b/solution/indigenouspeoplesland/ac/PDS-76p2050-Drawdown-PDScustom-avg-BppkVersion1.json deleted file mode 100644 index 51ebff9c6..000000000 --- a/solution/indigenouspeoplesland/ac/PDS-76p2050-Drawdown-PDScustom-avg-BppkVersion1.json +++ /dev/null @@ -1,121 +0,0 @@ -{ - "name": "PDS-76p2050-Drawdown-PDScustom-avg-BppkVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution was based on the estimates given by Rights and Resources Initiative 2014. Future adoption of forest area under Indigenous People (IP) management was built based on the percent area under IP management given for the year 2002 (21%), 2008 (28%), 2013 (31%), and 2030 (50%) by Rights and Resources 2016 publication. Further assumption was made that the forest area under indigenous people management will increase to 50-100% by 2050, under different custom adoption scenarios.This scenario derives the result from the \"average of all\" PDS custom scenarios. The results are slightly higher than that of the Book Version 1, because of the revisions made to the TLA, current adoption, carbon seq value, and custom adoption scenarios.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 416.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 313.79112686765546, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.41883186313819837, - "statistic": "" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.003074, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 262.941683097068, - "xls cell formula": "D189+(B138/'Variable Meta-analysis'!$AN$32)" - }, - "disturbance_rate": { - "value": 0.00048945, - "statistic": "mean" - }, - "delay_protection_1yr": false, - "delay_regrowth_1yr": false, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2018-07-26 21:43:02" -} \ No newline at end of file diff --git a/solution/indigenouspeoplesland/ac/PDS-91p2050-Optimum-PDScustom-high-BookVersion1.json b/solution/indigenouspeoplesland/ac/PDS-91p2050-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index 0bc8dacbc..000000000 --- a/solution/indigenouspeoplesland/ac/PDS-91p2050-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,121 +0,0 @@ -{ - "name": "PDS-91p2050-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution was based on the estimates given by Rights and Resources Initiative 2014. Future adoption of forest area under Indigenous People (IP) management was built based on the percent area under IP management given for the year 2002 (21%), 2008 (28%), 2013 (31%), and 2030 (50%) by Rights and Resources 2016 publication. Further assumption was made that the forest area under indigenous people management will increase to 50-100% by 2050, under different custom adoption scenarios.This scenario derives the result from the \"high of all\" PDS custom scenarios. The results are slightly higher than that of the Book Version 1, because of the revisions made to the TLA, current adoption, carbon seq value, and custom adoption scenarios.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 416.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 313.79112686765546, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.41883186313819837, - "statistic": "" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.003074, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 262.941683097068, - "xls cell formula": "D189+(B138/'Variable Meta-analysis'!$AN$32)" - }, - "disturbance_rate": { - "value": 0.00048945, - "statistic": "mean" - }, - "delay_protection_1yr": false, - "delay_regrowth_1yr": false, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2018-07-26 21:43:38" -} \ No newline at end of file diff --git a/solution/landfillmethane/ac/PDS-0p2050-Drawdown_Book_Ed1_Emissions1.json b/solution/landfillmethane/ac/PDS-0p2050-Drawdown_Book_Ed1_Emissions1.json deleted file mode 100644 index 305412edc..000000000 --- a/solution/landfillmethane/ac/PDS-0p2050-Drawdown_Book_Ed1_Emissions1.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "PDS-0p2050-Drawdown (Book Ed.1)_Emissions1", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Drawdown Scenario, with book inputs for direct and reduced emissions as book model version.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0731, - "pds_2014_cost": { - "value": 1844.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 1844.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.02, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - 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"conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 1733805.004315413, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Plausible Scenario", - "ref_base_adoption": { - "World": 23.99, - "OECD90": 22.97, - "Eastern Europe": 0.07, - "Asia (Sans Japan)": 0.71, - "Middle East and Africa": 0.05, - "Latin America": 0.0, - "China": 0.0, - "India": 0.12, - "EU": 17.63, - "USA": 4.07 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Baseline Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Medium", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-05-13 17:30:21" -} \ No newline at end of file diff --git a/solution/managedgrazing/ac/PDS-46p2050-Plausible-Book_Version1-Avg.json b/solution/managedgrazing/ac/PDS-46p2050-Plausible-Book_Version1-Avg.json deleted file mode 100644 index 7046e204a..000000000 --- a/solution/managedgrazing/ac/PDS-46p2050-Plausible-Book_Version1-Avg.json +++ /dev/null @@ -1,114 +0,0 @@ -{ - "name": "PDS-46p2050-Plausible-Book Version1-Avg", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is based on the country level data available on managed grazing. A weighted approach was used to calculate the global current adoption value. The future adoption of managed grazing is projected based on weighted \"average, medium, and high\" growth rates, calculated based on the available country specific area under managed grazing and the region specific total grazing area (Using Henderson et al 2015 estimates). This scenario derives the result from the \"average of all\" PDS custom adoption scenarios. The results are similar to the Book Version 1 result, so no separate scenario was created for the latter. This version involves correction of the net profit margin calculation methodology, revision of custom adoption scenarios, and estimation of operational cost which was missing in the Book Version 1 result. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 79.158179047581, - "OECD90": 25.3256395803224, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 4.29244410040458, - "Middle East and Africa": 11.7137846464736, - "Latin America": 37.8263107203804, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 385.460514325684, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 136.94966, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 136.94966, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 3235.02382866437, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.1023, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.627883098729279, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-04-26 10:52:11" -} \ No newline at end of file diff --git a/solution/managedgrazing/ac/PDS-54p2050-Drawdown-Book_Version1-High.json b/solution/managedgrazing/ac/PDS-54p2050-Drawdown-Book_Version1-High.json deleted file mode 100644 index d08027c7e..000000000 --- a/solution/managedgrazing/ac/PDS-54p2050-Drawdown-Book_Version1-High.json +++ /dev/null @@ -1,114 +0,0 @@ -{ - "name": "PDS-54p2050-Drawdown-Book Version1-High", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is based on the country level data available on managed grazing. A weighted approach was used to calculate the global current adoption value. The future adoption of managed grazing is projected based on weighted \"average, medium, and high\" growth rates, calculated based on the available country specific area under managed grazing and the region specific total grazing area (Using Henderson et al 2015 estimates). This scenario derives the result from the \"average of all\" PDS custom adoption scenarios. This version involves correction of the net profit margin calculation methodology and estimation of operational cost which was missing in the Book Version 1 result. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 79.158179047581, - "OECD90": 25.3256395803224, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 4.29244410040458, - "Middle East and Africa": 11.7137846464736, - "Latin America": 37.8263107203804, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 385.460514325684, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 136.94966, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 136.94966, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 3235.02382866437, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.1023, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.627883098729279, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-04-26 10:52:46" -} \ No newline at end of file diff --git a/solution/managedgrazing/ac/PDS-62p2050-Optimum-BookVersion1-High2S.json b/solution/managedgrazing/ac/PDS-62p2050-Optimum-BookVersion1-High2S.json deleted file mode 100644 index ab25882e4..000000000 --- a/solution/managedgrazing/ac/PDS-62p2050-Optimum-BookVersion1-High2S.json +++ /dev/null @@ -1,114 +0,0 @@ -{ - "name": "PDS-62p2050-Optimum-BookVersion1-High2S", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is based on the country level data available on managed grazing. A weighted approach was used to calculate the global current adoption value. The future adoption of managed grazing is projected based on weighted \"average, medium, and high\" growth rates, calculated based on the available country specific area under managed grazing and the region specific total grazing area (Using Henderson et al 2015 estimates). This scenario derives the result from the \"high of all - 2nd degree standard deviation\" PDS custom adoption scenarios. This version involves correction of the net profit margin calculation methodology, revision of custom adoption scenarios, and estimation of operational cost which was missing in the Book Version 1 result. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 79.158179047581, - "OECD90": 25.3256395803224, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 4.29244410040458, - "Middle East and Africa": 11.7137846464736, - "Latin America": 37.8263107203804, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 385.460514325684, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 136.94966, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 136.94966, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 3235.02382866437, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.1023, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.627883098729279, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-04-26 11:49:34" -} \ No newline at end of file diff --git a/solution/mangroverestoration/ac/PDS-78p2050-Plausible.json b/solution/mangroverestoration/ac/PDS-78p2050-Plausible.json deleted file mode 100644 index 16785d8be..000000000 --- a/solution/mangroverestoration/ac/PDS-78p2050-Plausible.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-78p2050-Plausible", - "solution_category": "land", - "vmas": "VMAs", - "description": "This Plausible Scenario is the average of all 8 custom scenarios.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 3.22248272302866, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.243714285714285, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 32.7518657615995, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.90555555555556, - "statistic": "mean" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.00991428571428571, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 585.768937533866, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "delay_protection_1yr": true, - "delay_regrowth_1yr": true, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2019-04-12 12:15:40" -} \ No newline at end of file diff --git a/solution/mangroverestoration/ac/PDS-88p2050-Drawdown.json b/solution/mangroverestoration/ac/PDS-88p2050-Drawdown.json deleted file mode 100644 index 55bac40dc..000000000 --- a/solution/mangroverestoration/ac/PDS-88p2050-Drawdown.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-88p2050-Drawdown", - "solution_category": "land", - "vmas": "VMAs", - "description": "This Drawdown Sceario is the average of all 8 custom scenarios + 1 standard deviation of the range of these scenarios.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 3.22248272302866, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.243714285714285, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 32.7518657615995, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.90555555555556, - "statistic": "mean" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.00991428571428571, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 585.768937533866, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "delay_protection_1yr": true, - "delay_regrowth_1yr": true, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2019-04-12 12:17:53" -} \ No newline at end of file diff --git a/solution/mangroverestoration/ac/PDS-88p2050-Optimum.json b/solution/mangroverestoration/ac/PDS-88p2050-Optimum.json deleted file mode 100644 index 755c39b1b..000000000 --- a/solution/mangroverestoration/ac/PDS-88p2050-Optimum.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-88p2050-Optimum", - "solution_category": "land", - "vmas": "VMAs", - "description": "This Optimum Scenario uses only custom scenario #7 which is the case with a variable degradation rate, 100% adoption of available wetlands by 2030, and linear interpolation.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 3.22248272302866, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.243714285714285, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Variable degradation rate, 100% adoption by 2030, linear", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 32.7518657615995, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.90555555555556, - "statistic": "mean" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.00991428571428571, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 585.768937533866, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "delay_protection_1yr": true, - "delay_regrowth_1yr": true, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2019-04-12 12:19:50" -} \ No newline at end of file diff --git a/solution/masstransit/ac/PDS1-21p2050-based_on_IEA_Book_Ed1.json b/solution/masstransit/ac/PDS1-21p2050-based_on_IEA_Book_Ed1.json deleted file mode 100644 index 273e934e0..000000000 --- a/solution/masstransit/ac/PDS1-21p2050-based_on_IEA_Book_Ed1.json +++ /dev/null @@ -1,161 +0,0 @@ -{ - "name": "PDS1-21p2050-based on IEA (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "Using a linear interpolation of the IEA's 2DS Mass Transit scenario data, we project adoption to 2060. The reference scenario is based on the IEA's 6DS scenario where adoption increases, peaks then declines. This was seen as more realistic that the drastic increase that the standard Drawdown scenario would imply. This scenario uses inputs calculated for the Drawdown book edition 1, some of which have been updated since publication.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 14.162003603585898, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 14.162003603585898, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.013273817396536613, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 1.5971260490990509, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0553033150884721, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 7.019830211942056, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 7.019830211942056, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.14, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 9.261385289614363e-12, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.052941803480931623, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.8268821867810374, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 3.097673458077077e-05, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 1.864345210577371e-05, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 9607070620938.643, - "OECD90": 2177533057697.923, - "Eastern Europe": 575975431282.0925, - "Asia (Sans Japan)": 4506889445113.769, - "Middle East and Africa": 1416146219920.7346, - "Latin America": 1334877448730.5225, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book Edition 1 Scenario 1", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Adoption Based on IEA 6DS", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014, - 2015, - 2016, - 2017, - 2018, - 2019, - 2020, - 2021 - ], - "creation_date": "2018-03-01 11:28:15" -} \ No newline at end of file diff --git a/solution/masstransit/ac/PDS2-35p2050-based_on_ITDPUCD_Book_Ed1.json b/solution/masstransit/ac/PDS2-35p2050-based_on_ITDPUCD_Book_Ed1.json deleted file mode 100644 index 5016a9b1f..000000000 --- a/solution/masstransit/ac/PDS2-35p2050-based_on_ITDPUCD_Book_Ed1.json +++ /dev/null @@ -1,154 +0,0 @@ -{ - "name": "PDS2-35p2050-based on ITDP/UCD (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We take the Global High Shift Cycling Scenario data from the ITDP's 2015 publication, and interpolate for missing years using a 3rd degree polynomial curve fit. The reference scenario is based on the IEA 6DS scenario where adoption increases then peaks and declines. This was used instead of the standard Drawdown reference scenario since that was seen as too optimistic given current trends. This scenario uses inputs calculated for the Drawdown book edition 1, some of which have been updated since publication.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 14.162003603585898, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 14.162003603585898, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.013273817396536613, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 1.5971260490990509, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0553033150884721, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 7.019830211942056, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 7.019830211942056, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.14, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 9.261385289614363e-12, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.052941803480931623, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.8268821867810374, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 3.097673458077077e-05, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 1.864345210577371e-05, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 9607070620938.643, - "OECD90": 2177533057697.923, - "Eastern Europe": 575975431282.0925, - "Asia (Sans Japan)": 4506889445113.769, - "Middle East and Africa": 1416146219920.7346, - "Latin America": 1334877448730.5225, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book Edition 1 Scenario 2", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Adoption Based on IEA 6DS", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-03-01 11:39:15" -} \ No newline at end of file diff --git a/solution/masstransit/ac/PDS3-45p2050-linear_Book_Ed1.json b/solution/masstransit/ac/PDS3-45p2050-linear_Book_Ed1.json deleted file mode 100644 index 94c8174c4..000000000 --- a/solution/masstransit/ac/PDS3-45p2050-linear_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS3-45p2050-linear (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "Taking the maximum expected mass transit mobility worldwide as 45% of the Urban mobility TAM in 2050, we project a linear growth out to 2050 from current adoption. The reference scenario is based on the IEA's 6DS scenario where adoption increases, peaks then declines. This was seen as more realistic that the drastic increase that the standard Drawdown scenario would imply. This scenario uses inputs calculated for the Drawdown book edition 1, some of which have been updated since publication.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 14.162003603585898, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 14.162003603585898, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.013273817396536613, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 1.5971260490990509, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0553033150884721, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 7.019830211942056, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 7.019830211942056, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.14, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 9.261385289614363e-12, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.052941803480931623, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.8268821867810374, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 3.097673458077077e-05, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 1.864345210577371e-05, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 9607070620938.643, - "OECD90": 2177533057697.923, - "Eastern Europe": 575975431282.0925, - "Asia (Sans Japan)": 4506889445113.769, - "Middle East and Africa": 1416146219920.7346, - "Latin America": 1334877448730.5225, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "DEFAULT Linear", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.45, - "OECD90": 0.45, - "Eastern Europe": 0.45, - "Asia (Sans Japan)": 0.45, - "Middle East and Africa": 0.45, - "Latin America": 0.45, - "China": 0.45, - "India": 0.45, - "EU": 0.45, - "USA": 0.45 - }, - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Adoption Based on IEA 6DS", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-03-01 11:46:51" -} \ No newline at end of file diff --git a/solution/microwind/ac/PDS-0p2050-Drawdown_Book_Ed_1.json b/solution/microwind/ac/PDS-0p2050-Drawdown_Book_Ed_1.json deleted file mode 100644 index 9883301fd..000000000 --- a/solution/microwind/ac/PDS-0p2050-Drawdown_Book_Ed_1.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "PDS-0p2050-Drawdown (Book Ed. 1)", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Drawdown Scenario, based on Ambitious scenarios trajectories, medium growth", - "report_start_year": 2020, - 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"ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Drawdown Scenario", - "ref_base_adoption": { - "World": 1.4839924067703905, - "OECD90": 0.8270896918586633, - "Eastern Europe": 0.02591480263096046, - "Asia (Sans Japan)": 0.6209258199488832, - "Middle East and Africa": 0.0, - "Latin America": 0.01063400521753205, - "China": 0.6140914609653803, - "India": 0.004289346642365869, - "EU": 0.3857891986976892, - "USA": 0.40391347548945267 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Ambitious Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Medium", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2019-01-13 14:39:19" -} \ No newline at end of file diff --git a/solution/microwind/ac/PDS-0p2050-Optimum_Book_Ed_1.json b/solution/microwind/ac/PDS-0p2050-Optimum_Book_Ed_1.json deleted file mode 100644 index 2df83a29e..000000000 --- a/solution/microwind/ac/PDS-0p2050-Optimum_Book_Ed_1.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "PDS-0p2050-Optimum (Book Ed. 1)", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Optimum Scenario, Based on Ambitious scenarios trajectories, medium growth", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.07, - "pds_2014_cost": { - "value": 4930.052356020943, - "statistic": "" - }, - "ref_2014_cost": { - "value": 4930.052356020943, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.14475, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 36104.689881092956, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1843.6437386090017, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 44.25628000000001, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 102825.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Optimum Scenario", - "ref_base_adoption": { - "World": 1.4839924067703905, - "OECD90": 0.8270896918586633, - "Eastern Europe": 0.02591480263096046, - "Asia (Sans Japan)": 0.6209258199488832, - "Middle East and Africa": 0.0, - "Latin America": 0.01063400521753205, - "China": 0.6140914609653803, - "India": 0.004289346642365869, - "EU": 0.3857891986976892, - "USA": 0.40391347548945267 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Ambitious Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Medium", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2019-01-13 14:41:46" -} \ No newline at end of file diff --git a/solution/microwind/ac/PDS-0p2050-Plausible_Book_Ed_1.json b/solution/microwind/ac/PDS-0p2050-Plausible_Book_Ed_1.json deleted file mode 100644 index 4e7b5b662..000000000 --- a/solution/microwind/ac/PDS-0p2050-Plausible_Book_Ed_1.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "PDS-0p2050-Plausible (Book Ed. 1)", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Plausible Scenario, Follows an ambitious high growth trajectory of total onshore wind adoption, where micro wind\u2019s current share (0.22 percent) on total onshore wind is assumed to grow in parallel", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.07, - "pds_2014_cost": { - "value": 4930.052356020943, - "statistic": "" - }, - "ref_2014_cost": { - "value": 4930.052356020943, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.14475, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 36104.689881092956, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1843.6437386090017, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 44.25628000000001, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 102825.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Plausible Scenario", - "ref_base_adoption": { - "World": 1.4839924067703905, - "OECD90": 0.8270896918586633, - "Eastern Europe": 0.02591480263096046, - "Asia (Sans Japan)": 0.6209258199488832, - "Middle East and Africa": 0.0, - "Latin America": 0.01063400521753205, - "China": 0.6140914609653803, - "India": 0.004289346642365869, - "EU": 0.3857891986976892, - "USA": 0.40391347548945267 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Ambitious Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "High", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2019-01-13 14:37:44" -} \ No newline at end of file diff --git a/solution/multistrataagroforestry/ac/PDS-22p2050-PDScustom-Low-BookVersion1.json b/solution/multistrataagroforestry/ac/PDS-22p2050-PDScustom-Low-BookVersion1.json deleted file mode 100644 index d3f5d085b..000000000 --- a/solution/multistrataagroforestry/ac/PDS-22p2050-PDScustom-Low-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-22p2050-PDScustom-Low-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution was based on the estimates given by Nair 2012. The future adoption scenarios were developed based on the future prognostication given by Bonn Challenge and NY Deceleration for the restoration of degraded land. This scenario derives the result from the \"low of all\" PDS custom scenarios. The results are same as that of the Book Version1, so no separate scenario was created for the latter. The revised model involves correction of net profit margin calculation methodology and estimation of operational cost which was missing in Book Version1. This solution was allocated both in the cropland and grassland AEZs, so we have created two separate models for this solution. One for the cropland AEZs and one for the grassland AEZs. The model built for the cropland AEZs has only half of the allocated current adoption of this solution, so that model doesn't have any future adoption scenarios and therefore no results were generated there. This model is built for the grassland AEZs, where the remaining half of the the current adoption and all of the future adoption of this solution is allocated. Thus, for this solution, the results are coming only from this model, although we have created two separate models.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 50.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Low of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 328.415857769938, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 1996.71332818348, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 1996.71332818348, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 368.824840503264, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 7.03684210526316, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-23 10:27:00" -} \ No newline at end of file diff --git a/solution/multistrataagroforestry/ac/PDS-26p2050-PDScustom-Average-BookVersion1.json b/solution/multistrataagroforestry/ac/PDS-26p2050-PDScustom-Average-BookVersion1.json deleted file mode 100644 index 0e96fb16c..000000000 --- a/solution/multistrataagroforestry/ac/PDS-26p2050-PDScustom-Average-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-26p2050-PDScustom-Average-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution was based on the estimates given by Nair 2012. The future adoption scenarios were developed based on the future prognostication given by Bonn Challenge and NY Deceleration for the restoration of degraded land. This scenario derives the result from the \"average of all\" PDS custom scenarios. The results are same as that of the Book Version1, so no separate scenario was created for the latter. The revised model involves correction of net profit margin calculation methodology and estimation of operational cost which was missing in Book Version1. This solution was allocated both in the cropland and grassland AEZs, so we have created two separate models for this solution. One for the cropland AEZs and one for the grassland AEZs. The model built for the cropland AEZs has only half of the allocated current adoption of this solution, so that model doesn't have any future adoption scenarios and therefore no results were generated there. This model is built for the grassland AEZs, where the remaining half of the the current adoption and all of the future adoption of this solution is allocated. 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The future adoption scenarios were developed based on the future prognostication given by Bonn Challenge and NY Deceleration for the restoration of degraded land. This scenario derives the result from the \"high of all\" PDS custom scenarios. The results are same as that of the Book Version1, so no separate scenario was created for the latter. The revised model involves correction of net profit margin calculation methodology and estimation of operational cost which was missing in Book Version1. This solution was allocated both in the cropland and grassland AEZs, so we have created two separate models for this solution. One for the cropland AEZs and one for the grassland AEZs. The model built for the cropland AEZs has only half of the allocated current adoption of this solution, so that model doesn't have any future adoption scenarios and therefore no results were generated there. This model is built for the grassland AEZs, where the remaining half of the the current adoption and all of the future adoption of this solution is allocated. Thus, for this solution, the results are coming only from this model, although we have created two separate models. 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"statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Drawdown Scenario", - "ref_base_adoption": { - "World": 2417.0, - "OECD90": 2067.538596846472, - "Eastern Europe": 337.7907984353286, - "Asia (Sans Japan)": 422.9280547381077, - "Middle East and Africa": 19.434007595770563, - "Latin America": 34.286204887889326, - "China": 186.72565568543357, - "India": 81.7511387032866, - "EU": 911.5844464681002, - "USA": 822.7334922881862 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Ambitious Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Medium", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-07-17 07:47:02" -} \ No newline at end of file diff --git a/solution/nuclear/ac/PDS-12p2050-Plausible_Book_Ed1.json b/solution/nuclear/ac/PDS-12p2050-Plausible_Book_Ed1.json deleted file mode 100644 index b2a758466..000000000 --- a/solution/nuclear/ac/PDS-12p2050-Plausible_Book_Ed1.json +++ /dev/null @@ -1,183 +0,0 @@ -{ - "name": "PDS-12p2050-Plausible (Book Ed.1)", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Plausible Scenario, book model inputs except first costs conv and correction to fuel costs conv.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0731, - "pds_2014_cost": { - "value": 4680.011875, - "statistic": "" - }, - "ref_2014_cost": { - "value": 4680.011875, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.03, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 358697.6666666667, - 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}, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 16830.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Plausible Scenario", - "ref_base_adoption": { - "World": 2417.0, - "OECD90": 2067.538596846472, - "Eastern Europe": 337.7907984353286, - "Asia (Sans Japan)": 422.9280547381077, - "Middle East and Africa": 19.434007595770563, - "Latin America": 34.286204887889326, - "China": 186.72565568543357, - "India": 81.7511387032866, - "EU": 911.5844464681002, - "USA": 822.7334922881862 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Ambitious Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "High", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Custom REF Adoption mirroring decline in nuclear in Plausible SCenario", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-07-14 16:27:19" -} \ No newline at end of file diff --git a/solution/nutrientmanagement/ac/PDS-54p2050-Plausible-PDScustom-avg-BookVersion1.json b/solution/nutrientmanagement/ac/PDS-54p2050-Plausible-PDScustom-avg-BookVersion1.json deleted file mode 100644 index 04fc81b22..000000000 --- a/solution/nutrientmanagement/ac/PDS-54p2050-Plausible-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-54p2050-Plausible-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current and future adoption of nutrient management is built on the extent of the current and future adoption of Conservation Agriculture (CA). Nutrient management is one of the integral components of CA, thus, it is assumed that the adoption of nutrient management will follow the similar trends as that of CA.This scenario derives the result from the \"average of all\" PDS custom adoption scenarios. The results are similar to the Book Version 1 model results. This version involves estimation of operational cost which was missing in the Book Version 1 results. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 71.684331854326, - "OECD90": 21.7864515209236, - "Eastern Europe": 5.79724982776745, - "Asia (Sans Japan)": 7.68605153649748, - "Middle East and Africa": 0.244451347436256, - "Latin America": 36.1701276217012, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 29.5087629611548, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 26.5578866650393, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0814037917332624, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0580079909105299, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 0.0, - "Temperate-Humid": 0.0, - "Boreal-Humid": 0.0, - "Tropical-Semi-Arid": 0.0, - "Temperate-Semi-Arid": 0.0, - "Boreal-Semi-Arid": 0.0, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-11 15:35:29" -} \ No newline at end of file diff --git a/solution/nutrientmanagement/ac/PDS-74p2050-Drawdown-PDScustom-high-BookVersion1.json b/solution/nutrientmanagement/ac/PDS-74p2050-Drawdown-PDScustom-high-BookVersion1.json deleted file mode 100644 index 21db2867e..000000000 --- a/solution/nutrientmanagement/ac/PDS-74p2050-Drawdown-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-74p2050-Drawdown-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current and future adoption of nutrient management is built on the extent of the current and future adoption of Conservation Agriculture (CA). Nutrient management is one of the integral components of CA, thus, it is assumed that the adoption of nutrient management will follow the similar trends as that of CA.This scenario derives the result from the \"high of all\" PDS custom adoption scenarios. The results are similar to the Book Version 1 model results. This version involves estimation of operational cost which was missing in the Book Version 1 results. 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Nutrient management is one of the integral components of CA, thus, it is assumed that the adoption of nutrient management will follow the similar trends as that of CA.This scenario presents the result of the \" Aggressive-Max, Linear Trend \" PDS custom adoption scenario. The results are similar to the Book Version 1 model results. This version involves estimation of operational cost which was missing in the Book Version 1 results. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 71.684331854326, - "OECD90": 21.7864515209236, - "Eastern Europe": 5.79724982776745, - "Asia (Sans Japan)": 7.68605153649748, - "Middle East and Africa": 0.244451347436256, - "Latin America": 36.1701276217012, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Aggressive-Max, Linear Trend", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 29.5087629611548, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 26.5578866650393, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0814037917332624, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0580079909105299, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 0.0, - "Temperate-Humid": 0.0, - "Boreal-Humid": 0.0, - "Tropical-Semi-Arid": 0.0, - "Temperate-Semi-Arid": 0.0, - "Boreal-Semi-Arid": 0.0, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-11 15:37:07" -} \ No newline at end of file diff --git a/solution/offshorewind/ac/PDS-4p2050-Plausible_BookEd1.json b/solution/offshorewind/ac/PDS-4p2050-Plausible_BookEd1.json deleted file mode 100644 index 462d0c414..000000000 --- a/solution/offshorewind/ac/PDS-4p2050-Plausible_BookEd1.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "PDS-4p2050-Plausible (BookEd.1)", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Plausible Scenario, book inputs except first costs for both solution and conventional (based on VMA), FOM adjusted", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0731, - "pds_2014_cost": { - "value": 3831.443384263814, - "statistic": "" - }, - "ref_2014_cost": { - "value": 3831.443384263814, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.159, - "soln_first_cost_below_conv": true, - 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"value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 17338.571428571428, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Plausible Scenario", - "ref_base_adoption": { - "World": 24.89, - "OECD90": 23.97, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.92, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.89, - "India": 0.0, - "EU": 23.82, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Ambitious Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "High", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-06-19 08:33:12" -} \ No newline at end of file diff --git a/solution/onshorewind/ac/PDS-22p2050-Plausible_Book_Ed_1.json b/solution/onshorewind/ac/PDS-22p2050-Plausible_Book_Ed_1.json deleted file mode 100644 index 22ff5792e..000000000 --- a/solution/onshorewind/ac/PDS-22p2050-Plausible_Book_Ed_1.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "PDS-22p2050-Plausible (Book Ed. 1)", - "solution_category": "replacement", - "vmas": "VMAs", - "description": "Plausible Scenario, Based on Ambitious scenarios adoption, high growth", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 2010.0317085196398, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.02, - "conv_lifetime_capacity": { - "value": 182411.2757676607, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 4946.8401873420025, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.003752690403548987, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 32.951404311078015, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 0.0731, - "pds_2014_cost": { - "value": 1853.635467591178, - "statistic": "" - }, - "ref_2014_cost": { - "value": 1853.635467591178, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.14475, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 63998.595, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 2844.382, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.021755008588235293, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 37.00819569621731, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.094, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 20041.11111111111, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Drawdown TAM: Drawdown TAM - Post Integration - Plausible Scenario", - "ref_base_adoption": { - "World": 689.0, - "OECD90": 443.891, - "Eastern Europe": 1.901, - "Asia (Sans Japan)": 194.66, - "Middle East and Africa": 5.326, - "Latin America": 18.675, - "China": 157.379, - "India": 33.455, - "EU": 230.075, - "USA": 183.892 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_prognostication_source": "Ambitious Cases", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "High", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2019-01-13 10:45:21" -} \ No newline at end of file diff --git a/solution/peatlands/ac/PDS-69p2050-Plausible-PDScustom-avg-BookVersion1.json b/solution/peatlands/ac/PDS-69p2050-Plausible-PDScustom-avg-BookVersion1.json deleted file mode 100644 index fdfc360d4..000000000 --- a/solution/peatlands/ac/PDS-69p2050-Plausible-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,121 +0,0 @@ -{ - "name": "PDS-69p2050-Plausible-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption are based on the country level data available on peatland protection in the Eastern Europe and OECD 90. The future adoption projections are based on the IPCC and Irish Peatland Conservation Council's commitment to protect 20% of the bogs of Ireland. In addition, aggressive custom adoption scenarios were built considering the high carbon stock in the peatlands and their limited availability. This scenario derives result from the \"average of all\" PDS custom adoption scenarios. The results are similar to the Book Version 1 results, so no separate scenarios were created for the latter. This version includes revisions made to the rate of peatland degradation, CO2 emissions from peatland degradation, custom adoption scenarios. In addition, a delay of one year due to the \"leakage effect\" and a further delay of one year in the \"regrowth of the degraded peatland\" has been considered in this version of the model.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 3.27713, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 44.9914412146797, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": 2.9447, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": -0.0182736842105263, - "statistic": "mean" - }, - "tch4_co2_rplu_rate": "Annual", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.40640861845066, - "statistic": "mean" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.00506640879193976, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 1188.02884615385, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "delay_protection_1yr": true, - "delay_regrowth_1yr": true, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2018-07-27 10:46:10" -} \ No newline at end of file diff --git a/solution/peatlands/ac/PDS-95p2050-Drawdown-PDScustom-high-BookVersion1.json b/solution/peatlands/ac/PDS-95p2050-Drawdown-PDScustom-high-BookVersion1.json deleted file mode 100644 index dedea5c84..000000000 --- a/solution/peatlands/ac/PDS-95p2050-Drawdown-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,121 +0,0 @@ -{ - "name": "PDS-95p2050-Drawdown-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption are based on the country level data available on peatland protection in the Eastern Europe and OECD 90. The future adoption projections are based on the IPCC and Irish Peatland Conservation Council's commitment to protect 20% of the bogs of Ireland. In addition, aggressive custom adoption scenarios were built considering the high carbon stock in the peatlands and their limited availability. This scenario derives result from the \"high of all\" PDS custom adoption scenarios. The results are similar to the Book Version 1 results, so no separate scenarios were created for the latter. This version includes revisions made to the rate of peatland degradation, CO2 emissions from peatland degradation, custom adoption scenarios. In addition, a delay of one year due to the \"leakage effect\" and a further delay of one year in the \"regrowth of the degraded peatland\" has been considered in this version of the model.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 3.27713, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 0.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 0.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 44.9914412146797, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": 2.9447, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": -0.0182736842105263, - "statistic": "mean" - }, - "tch4_co2_rplu_rate": "Annual", - "land_annual_emissons_lifetime": 30.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.40640861845066, - "statistic": "mean" - }, - "global_multi_for_regrowth": 1.0, - "degradation_rate": { - "value": 0.00506640879193976, - "statistic": "mean" - }, - "tC_storage_in_protected_land_type": { - "value": 1188.02884615385, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "delay_protection_1yr": true, - "delay_regrowth_1yr": true, - "include_unprotected_land_in_regrowth_calcs": false, - "creation_date": "2018-07-27 10:47:05" -} \ No newline at end of file diff --git a/solution/perennialbioenergy/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json b/solution/perennialbioenergy/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index 4fdce3429..000000000 --- a/solution/perennialbioenergy/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-100p2050-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "vma_values": { - "Future adoption (million hectares)": 0.591370993231854 - }, - "description": "The current adoption of this solution is based on the data available on perennial crops (like switchgrass, miscanthus etc.) in some of the European countries. The adoption of the solution is projected based on the average percent future adoption of perennial bioenergy crops as derived from the meta-analysis of 7 data points. In addition some aggressive adoption scenarios were also created with an early adoption (50% by 2030). This scenario derives the result from the \"high of all (with 3.25 standard devitation)\" PDS custom adoption scenarios. The marginal changes in the results are due to the correction made to the current adoption, other variables data points, methodology used to calculate emission at the time of harvest, and to the methodology used for the calculation of net profit margin. In addition, this version also involves estimation of operational cost which was missing in the Book Version 1 result. The custom adoption scenarios were accordingly revised to match the result to Book Version 1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 0.018875, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 1298.7653261654, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 1298.7653261654, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 562.358384723618, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.477366666666667, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.183125, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 8.6746725, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 20.0, - "creation_date": "2018-07-31 12:18:52" -} \ No newline at end of file diff --git a/solution/perennialbioenergy/ac/PDS-72p2050-Plausible-PDScustom-avg-BookVersion1.json b/solution/perennialbioenergy/ac/PDS-72p2050-Plausible-PDScustom-avg-BookVersion1.json deleted file mode 100644 index 4257ce5bd..000000000 --- a/solution/perennialbioenergy/ac/PDS-72p2050-Plausible-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-72p2050-Plausible-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "vma_values": { - "Future adoption (million hectares)": 0.591370993231854 - }, - "description": "The current adoption of this solution is based on the data available on perennial crops (like switchgrass, miscanthus etc.) in some of the European countries. The adoption of the solution is projected based on the average percent future adoption of perennial bioenergy crops as derived from the meta-analysis of 7 data points. In addition some aggressive adoption scenarios were also created with an early adoption (50% by 2030). This scenario derives the result from the \"average of all\" PDS custom adoption scenarios. The results are same as that of the Book Version 1, so no separate scenario was created for the latter. This version involves correction of current adoption, correction of other variables data points, correction of the methodology used to calculate emission at the time of harvest, and correction of the methodology used for the calculation of net profit margin. In addition, this version also involves estimation of operational cost which was missing in the Book Version 1 result. The custom adoption scenarios were accordingly revised to match the result to Book Version 1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 0.018875, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 1298.7653261654, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 1298.7653261654, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 562.358384723618, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.477366666666667, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 1.183125, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 8.6746725, - "statistic": "mean" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 20.0, - "creation_date": "2018-07-31 12:07:51" -} \ No newline at end of file diff --git a/solution/perennialbioenergy/tests/test_perennialbioenergy.py b/solution/perennialbioenergy/tests/test_perennialbioenergy.py index 0b6a4ba9d..b3dd6d3f0 100644 --- a/solution/perennialbioenergy/tests/test_perennialbioenergy.py +++ b/solution/perennialbioenergy/tests/test_perennialbioenergy.py @@ -11,9 +11,10 @@ solution_name = thisdir.parents[0].name # If there are long-running test failures that should be skipped, you can indicate them here. -# Someday we'll have a scanner that will check for these +# Custom code in __init__.py calculates Custom Adoption values for years 2012 and 2013, and Excel does not. +# Does not affect any other results. SCENARIO_SKIP = None -TEST_SKIP = None +TEST_SKIP = ['A23:B71'] def test_loader(): """Test that the solution can load the defined scenarios""" diff --git a/solution/regenerativeagriculture/ac/PDS-47p2050-Plausible-PDScustom-avg-BookVersion1.json b/solution/regenerativeagriculture/ac/PDS-47p2050-Plausible-PDScustom-avg-BookVersion1.json deleted file mode 100644 index 3136cfa22..000000000 --- a/solution/regenerativeagriculture/ac/PDS-47p2050-Plausible-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,121 +0,0 @@ -{ - "name": "PDS-47p2050-Plausible-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the result based on the revisions made to the current adoption, first cost and net profit margin of the solution, and to the conventional operational cost and net profit margin. In addition, the revised model also estimated the operational cost which was missing in the Book Version 1. The growth rates used to develop the future adoption of RA and the carbon sequestration values for different thermal moisture regimes are the one which were used in the Book Version 1. This scenario represent the result of the \"average of all\" PDS custom scenario. As the solution is a bridge solution to Conservation Agriculture (CA), the future growth area of this solution, also includes the area which was transferred from CA to this solution. This scenario is correspondent with the \"high of all\" PDS custom scenario of CA. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 43.64, - "OECD90": 20.42, - "Eastern Europe": 11.6, - "Asia (Sans Japan)": 3.57, - "Middle East and Africa": 1.26, - "Latin America": 6.79, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 943.57050076254, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3789.87993810478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 599.027530592674, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0825714285714286, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.233577433333333, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 1.18015559208201, - "Temperate-Humid": 0.618832443746458, - "Boreal-Humid": 0.618832443746458, - "Tropical-Semi-Arid": 1.41975893495969, - "Temperate-Semi-Arid": 0.384690007457083, - "Boreal-Semi-Arid": 0.384690007457083, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 16:48:43" -} \ No newline at end of file diff --git a/solution/regenerativeagriculture/ac/PDS-61p2050-Drawdown-PDScustom-high-BookVersion1.json b/solution/regenerativeagriculture/ac/PDS-61p2050-Drawdown-PDScustom-high-BookVersion1.json deleted file mode 100644 index 617f0c2dd..000000000 --- a/solution/regenerativeagriculture/ac/PDS-61p2050-Drawdown-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,121 +0,0 @@ -{ - "name": "PDS-61p2050-Drawdown-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the result based on the revisions made to the current adoption, first cost and net profit margin of the solution, and to the conventional operational cost and net profit margin. In addition, the revised model also estimated the operational cost which was missing in the Book Version 1. The growth rates used to develop the future adoption of RA and the carbon sequestration values for different thermal moisture regimes are the one which were used in the Book Version 1. This scenario represent the result of the \"high of all\" PDS custom scenario. As the solution is a bridge solution to Conservation Agriculture (CA), the future growth area of this solution, also includes the area which was transferred from CA to this solution. This scenario is correspondent with the \"high-high early adoption, polynomial trend\" PDS custom scenario of CA. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 43.64, - "OECD90": 20.42, - "Eastern Europe": 11.6, - "Asia (Sans Japan)": 3.57, - "Middle East and Africa": 1.26, - "Latin America": 6.79, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 943.57050076254, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3789.87993810478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 599.027530592674, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0825714285714286, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.233577433333333, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 1.18015559208201, - "Temperate-Humid": 0.618832443746458, - "Boreal-Humid": 0.618832443746458, - "Tropical-Semi-Arid": 1.41975893495969, - "Temperate-Semi-Arid": 0.384690007457083, - "Boreal-Semi-Arid": 0.384690007457083, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 16:50:19" -} \ No newline at end of file diff --git a/solution/regenerativeagriculture/ac/PDS-62p2050-Optimum-PDScustom-max-BookVersion1.json b/solution/regenerativeagriculture/ac/PDS-62p2050-Optimum-PDScustom-max-BookVersion1.json deleted file mode 100644 index a0b94477b..000000000 --- a/solution/regenerativeagriculture/ac/PDS-62p2050-Optimum-PDScustom-max-BookVersion1.json +++ /dev/null @@ -1,121 +0,0 @@ -{ - "name": "PDS-62p2050-Optimum-PDScustom-max-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the result based on the revisions made to the current adoption, first cost and net profit margin of the solution, and to the conventional operational cost and net profit margin. In addition, the revised model also estimated the operational cost which was missing in the Book Version 1. The growth rates used to develop the future adoption of RA and the carbon sequestration values for different thermal moisture regimes are the one which were used in the Book Version 1. This scenario represent the result of the \"max linear trend\" PDS custom scenario. As the solution is a bridge solution to Conservation Agriculture (CA), the future growth area of this solution, also includes the area which was transferred from CA to this solution. This scenario is correspondent with the \"average of all\" PDS custom scenario of CA. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 43.64, - "OECD90": 20.42, - "Eastern Europe": 11.6, - "Asia (Sans Japan)": 3.57, - "Middle East and Africa": 1.26, - "Latin America": 6.79, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Max, Linear Trend", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 943.57050076254, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3789.87993810478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 355.054020651552, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 599.027530592674, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0825714285714286, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.233577433333333, - "statistic": "mean" - }, - "tco2eq_rplu_rate": "Annual", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 1.18015559208201, - "Temperate-Humid": 0.618832443746458, - "Boreal-Humid": 0.618832443746458, - "Tropical-Semi-Arid": 1.41975893495969, - "Temperate-Semi-Arid": 0.384690007457083, - "Boreal-Semi-Arid": 0.384690007457083, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 16:51:31" -} \ No newline at end of file diff --git a/solution/riceintensification/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json b/solution/riceintensification/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index 2ea5d5204..000000000 --- a/solution/riceintensification/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-100p2050-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution is based on the data received from Prof Norman Uphoff through personal communication for the countries where the solution have been well adopted. The future adoption is projected based on the the adoption projections given for China, India, and Indonesia. The adoption scenarios are thus built based on the average, medium and high projections given for these three countries. Some of the scenarios involve an early adoption of 100% by 2030. This scenario stores the results derived from the \"high of all\" PDS custom adoption scenarios. This version also involves the correction of the net profit margin with the revised methodology, correction of greenhouse gas emissions with data correction, and the estimation of operational cost which was missing in the Book Version 1 result. In addition the conventional net profit margin and operational cost values were also corrected. The result of this scenario is marginally higher than the Book Version 1, so no new scenario was created for the latter.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 3.49, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 652.735403234368, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 1176.99596120478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 646.921752343548, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.381228947368421, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 1.9964000000000002, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 1.31797882352941, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": -0.024659427, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": 1.99931692307692, - "statistic": "mean" - }, - "tch4_co2_rplu_rate": "Annual", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.288333333333333, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 10:28:07" -} \ No newline at end of file diff --git a/solution/riceintensification/ac/PDS-73p2050-Plausible-PDScustom-low-BookVersion1.json b/solution/riceintensification/ac/PDS-73p2050-Plausible-PDScustom-low-BookVersion1.json deleted file mode 100644 index 18d35ea26..000000000 --- a/solution/riceintensification/ac/PDS-73p2050-Plausible-PDScustom-low-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-73p2050-Plausible-PDScustom-low-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution is based on the data received from Prof Norman Uphoff through personal communication for the countries where the solution have been well adopted. The future adoption is projected based on the the adoption projections given for China, India, and Indonesia. The adoption scenarios are thus built based on the average, medium and high projections given for these three countries. Some of the scenarios involve an early adoption of 100% by 2030. This scenario stores the results derived from the \"low of all\" PDS custom adoption scenarios. This version also involves the correction of the net profit margin with the revised methodology, correction of greenhouse gas emissions with data correction, and the estimation of operational cost which was missing in the Book Version 1 result. In addition the conventional net profit margin and operational cost values were also corrected. The result of this scenario is marginally higher than the Book Version 1, so no new scenario was created for the latter.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 3.49, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Low of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 652.735403234368, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 1176.99596120478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 646.921752343548, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.381228947368421, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 1.9964000000000002, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 1.31797882352941, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": -0.024659427, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": 1.99931692307692, - "statistic": "mean" - }, - "tch4_co2_rplu_rate": "Annual", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.288333333333333, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 10:26:27" -} \ No newline at end of file diff --git a/solution/riceintensification/ac/PDS-87p2050-Drawdown-PDScustom-avg-BookVersion1.json b/solution/riceintensification/ac/PDS-87p2050-Drawdown-PDScustom-avg-BookVersion1.json deleted file mode 100644 index 60cafd0d2..000000000 --- a/solution/riceintensification/ac/PDS-87p2050-Drawdown-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-87p2050-Drawdown-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of the solution is based on the data received from Prof Norman Uphoff through personal communication for the countries where the solution have been well adopted. The future adoption is projected based on the the adoption projections given for China, India, and Indonesia. The adoption scenarios are thus built based on the average, medium and high projections given for these three countries. Some of the scenarios involve an early adoption of 100% by 2030. This scenario stores the results derived from the \"average of all\" PDS custom adoption scenarios. This version also involves the correction of the net profit margin with the revised methodology, correction of greenhouse gas emissions with data correction, and the estimation of operational cost which was missing in the Book Version 1 result. In addition the conventional net profit margin and operational cost values were also corrected. The result of this scenario is marginally higher than the Book Version 1, so no new scenario was created for the latter.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 3.49, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 652.735403234368, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 1176.99596120478, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 646.921752343548, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.381228947368421, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": false, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 1.9964000000000002, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 1.31797882352941, - "statistic": "mean" - }, - "tco2_rplu_rate": "Annual", - "tn2o_co2_reduced_per_land_unit": { - "value": -0.024659427, - "statistic": "mean" - }, - "tn2o_co2_rplu_rate": "Annual", - "tch4_co2_reduced_per_land_unit": { - "value": 1.99931692307692, - "statistic": "mean" - }, - "tch4_co2_rplu_rate": "Annual", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 0.288333333333333, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 10:27:24" -} \ No newline at end of file diff --git a/solution/ships/ac/PDS1-97p2050-Mean_EEOI_Book_Ed1.json b/solution/ships/ac/PDS1-97p2050-Mean_EEOI_Book_Ed1.json deleted file mode 100644 index 9b62927e2..000000000 --- a/solution/ships/ac/PDS1-97p2050-Mean_EEOI_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS1-97p2050-Mean EEOI (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We take the mean estimates of EEOI (Energy Efficiency Operations Index in gCO2/ton-nmile) as projected by several studies referenced in the 3rd GHG IMO Study (Smith et al, 2014), interpolate for missing years and convert them to Estimated ton-nautical mile adoptions assuming that an efficient ship is one that adopts a fixed set of 17 technologies and slow steaming, and a conventional (non-efficient) ship is one that has average efficiency in 2008. This scenario uses inputs calculated for the Drawdown book edition 1, some of which were updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 34.62518245159868, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.3850072980639474, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 1818597.774776236, - "pds_2014_cost": { - "value": 11520609.511049619, - "statistic": "" - }, - "ref_2014_cost": { - "value": 11520609.511049619, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.05, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 34.62518245159868, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.3850072980639474, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 126122.92933096059, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 1381104.13088959, - "npv_discount_rate": 0.0922, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 3663130.5135886758, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.5010773206596144, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00289602, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.00289602, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 14427.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book Edition 1 Scenario 1", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2015 - ], - "creation_date": "2018-02-21 10:38:16" -} \ No newline at end of file diff --git a/solution/ships/ac/PDS2-100p2050-1_SD_Below_Mean_EEOI_Book_Ed1.json b/solution/ships/ac/PDS2-100p2050-1_SD_Below_Mean_EEOI_Book_Ed1.json deleted file mode 100644 index f0ef77622..000000000 --- a/solution/ships/ac/PDS2-100p2050-1_SD_Below_Mean_EEOI_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS2-100p2050-1 SD Below Mean EEOI (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We take (1 standard deviation below the mean of) the estimates of EEOI (Energy Efficiency Operations Index in gCO2/ton-nmile) as projected by several studies referenced in the 3rd GHG IMO Study (Smith et al, 2014), interpolate for missing years and convert them to Estimated ton-nautical mile adoptions assuming that an efficient ship is one that adopts a fixed set of 17 technologies and slow steaming, and a conventional (non-efficient) ship is one that has average efficiency in 2008. This scenario uses inputs calculated for the Drawdown book edition 1, some of which were updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 34.62518245159868, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.3850072980639474, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 1818597.774776236, - "pds_2014_cost": { - "value": 11520609.511049619, - "statistic": "" - }, - "ref_2014_cost": { - "value": 11520609.511049619, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.05, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 34.62518245159868, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.3850072980639474, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 126122.92933096059, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 1381104.13088959, - "npv_discount_rate": 0.0922, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 3663130.5135886758, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.5010773206596144, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00289602, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.00289602, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 14427.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book Edition 1 Scenario 2", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2015 - ], - "creation_date": "2018-02-21 10:43:10" -} \ No newline at end of file diff --git a/solution/ships/ac/PDS3-100p2050-Lowest_EEOI_Book_Ed1.json b/solution/ships/ac/PDS3-100p2050-Lowest_EEOI_Book_Ed1.json deleted file mode 100644 index 347dee06a..000000000 --- a/solution/ships/ac/PDS3-100p2050-Lowest_EEOI_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS3-100p2050-Lowest EEOI (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We take the lowest estimates of EEOI (Energy Efficiency Operations Index in gCO2/ton-nmile) as projected by several studies referenced in the 3rd GHG IMO Study (Smith et al, 2014), interpolate for missing years and convert them to Estimated ton-nautical mile adoptions assuming that an efficient ship is one that adopts a fixed set of 17 technologies and slow steaming, and a conventional (non-efficient) ship is one that has average efficiency in 2008. This scenario uses inputs calculated for the Drawdown book edition 1, some of which were updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 34.62518245159868, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.3850072980639474, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 1818597.774776236, - "pds_2014_cost": { - "value": 11520609.511049619, - "statistic": "" - }, - "ref_2014_cost": { - "value": 11520609.511049619, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.05, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 34.62518245159868, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.3850072980639474, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 126122.92933096059, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 1381104.13088959, - "npv_discount_rate": 0.0922, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 3663130.5135886758, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.5010773206596144, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00289602, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.00289602, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 14427.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book Edition 1 Scenario 3", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2015 - ], - "creation_date": "2018-02-21 10:45:05" -} \ No newline at end of file diff --git a/solution/silvopasture/ac/PDS-45p2050-Plausible-PDScustom-low-BookVersion1.json b/solution/silvopasture/ac/PDS-45p2050-Plausible-PDScustom-low-BookVersion1.json deleted file mode 100644 index 24d836e47..000000000 --- a/solution/silvopasture/ac/PDS-45p2050-Plausible-PDScustom-low-BookVersion1.json +++ /dev/null @@ -1,119 +0,0 @@ -{ - "name": "PDS-45p2050-Plausible-PDScustom-low-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the results based on the revisions made to the current adoption, future adoption scenarios, first cost, net profit margin, and carbon sequestration. In addition, the revised model also estimates the operational cost which was missing in the Book Version 1. This scenario derives result from \"low of all\" PDS custom scenario. The results are marginally lower than Book Version1, so no new scenario was created for the latter. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 314.15, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Low of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014, - 2015, - 2016 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 328.415857769938, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 462.453005939073, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 462.453005939073, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 837.643130909091, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.100544967245763, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.64561688311688, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-03 14:22:39" -} \ No newline at end of file diff --git a/solution/silvopasture/ac/PDS-54p2050-Drawdown-PDScustom-high-basedonpasture-BookVersion1.json b/solution/silvopasture/ac/PDS-54p2050-Drawdown-PDScustom-high-basedonpasture-BookVersion1.json deleted file mode 100644 index fcfe2b3d8..000000000 --- a/solution/silvopasture/ac/PDS-54p2050-Drawdown-PDScustom-high-basedonpasture-BookVersion1.json +++ /dev/null @@ -1,119 +0,0 @@ -{ - "name": "PDS-54p2050-Drawdown-PDScustom-high-basedonpasture-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the results based on the revisions made to the current adoption, future adoption scenarios, first cost, net profit margin, and carbon sequestration. In addition, the revised model also estimates the operational cost which was missing in the Book Version 1. This scenario present the result of the from \"high growth, linear trend (based on improved pasture area) \" PDS custom scenario. The results are higher than the Book Version1, largely due to the correction of the current adoption, which was almost half in the Book Version1.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 314.15, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High growth, linear trend (based on improved pasture area)", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014, - 2015, - 2016 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 328.415857769938, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 462.453005939073, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 462.453005939073, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 837.643130909091, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.100544967245763, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.64561688311688, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-03 14:30:02" -} \ No newline at end of file diff --git a/solution/silvopasture/ac/PDS-54p2050-Optimum-PDScustom-high05SD-BookVersion1.json b/solution/silvopasture/ac/PDS-54p2050-Optimum-PDScustom-high05SD-BookVersion1.json deleted file mode 100644 index a558a13d2..000000000 --- a/solution/silvopasture/ac/PDS-54p2050-Optimum-PDScustom-high05SD-BookVersion1.json +++ /dev/null @@ -1,119 +0,0 @@ -{ - "name": "PDS-54p2050-Optimum-PDScustom-high0.5SD-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario represents the results based on the revisions made to the current adoption, future adoption scenarios, first cost, net profit margin, and carbon sequestration. In addition, the revised model also estimates the operational cost which was missing in the Book Version 1. This scenario derives result from \"high (with 0.5 standard deviation) of all\" PDS custom scenarios. The results are higher than the Book Version1, largely due to the correction of the current adoption, which was almost half in the Book Version1.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 314.15, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014, - 2015, - 2016 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 328.415857769938, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 462.453005939073, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 462.453005939073, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 837.643130909091, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.100544967245763, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.64561688311688, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-03 14:31:30" -} \ No newline at end of file diff --git a/solution/smartthermostats/ac/PDS1-28p2050-cs_Low-E1284,_F889_Book_Ed1.json b/solution/smartthermostats/ac/PDS1-28p2050-cs_Low-E1284,_F889_Book_Ed1.json deleted file mode 100644 index 1b0e215ae..000000000 --- a/solution/smartthermostats/ac/PDS1-28p2050-cs_Low-E1284,_F889_Book_Ed1.json +++ /dev/null @@ -1,82 +0,0 @@ -{ - "name": "PDS1-28p2050-cs Low-E12.84, F8.89 (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "creation_date": "2018-02-26 13:35:20", - "description": "After Integrating the results of other solutions in the Buildings Sector, the impact of Smart Thermostats is reduced to account for effects of previous solutions such as envelope solutions. The adoption (Low of all Custom Scenarios = 1 standard deviation below the mean each year), electricity savings (E=12.84%) and fuel savings (F=8.89%) are selected to match this scenario with other building solutions. This scenario uses inputs that match those of the Drawdown book edition 1, some of which have been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": 39.3510612050925, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": 23.75, - "conv_avg_annual_use": 1.0, - "conv_var_oper_cost_per_funit": 738936667.283452, - "conv_fixed_oper_cost_per_iunit": 0.0, - "conv_fuel_cost_per_funit": 0.0, - "pds_2014_cost": 225.9430153073019, - "ref_2014_cost": 225.9430153073019, - "soln_first_cost_efficiency_rate": 0.13, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": 10.0, - "soln_avg_annual_use": 1.0, - "soln_var_oper_cost_per_funit": 660411322.8072591, - "soln_fixed_oper_cost_per_iunit": 0.0, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": 2.3240931447627027, - "soln_energy_efficiency_factor": 0.1284, - "soln_annual_energy_used": 0.0, - "conv_fuel_consumed_per_funit": 23658.76830368019, - "soln_fuel_efficiency_factor": 0.0889, - "conv_fuel_emissions_factor": 61.051339971807074, - "soln_fuel_emissions_factor": 61.051339971807074, - "conv_emissions_per_funit": 0.0, - "soln_emissions_per_funit": 0.0, - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": 0.0, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": 0.0, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 3.2, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.7, - "USA": 2.5 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book Ed.1 Scenario 1", - "soln_pds_adoption_scenarios_included": [], - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ] -} \ No newline at end of file diff --git a/solution/smartthermostats/ac/PDS2-39p2050-cs-Avg_E1165,_F806_Book_Ed1.json b/solution/smartthermostats/ac/PDS2-39p2050-cs-Avg_E1165,_F806_Book_Ed1.json deleted file mode 100644 index 7fdc1938c..000000000 --- a/solution/smartthermostats/ac/PDS2-39p2050-cs-Avg_E1165,_F806_Book_Ed1.json +++ /dev/null @@ -1,82 +0,0 @@ -{ - "name": "PDS2-39p2050-cs-Avg E11.65, F8.06 (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "creation_date": "2018-02-26 13:58:42", - "description": "After Integrating the results of other solutions in the Buildings Sector, the impact of Smart Thermostats is reduced to account for effects of previous solutions such as envelope solutions. The adoption (Average of all Custom Scenarios each year), electricity savings (E=11.65%) and fuel savings (F=8.06%) are selected to match this scenario with other building solutions. This scenario uses inputs used to develop the Drawdown book Edition 1 results, some of which have been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": 39.3510612050925, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": 23.75, - "conv_avg_annual_use": 1.0, - "conv_var_oper_cost_per_funit": 738936667.283452, - "conv_fixed_oper_cost_per_iunit": 0.0, - "conv_fuel_cost_per_funit": 0.0, - "pds_2014_cost": 225.9430153073019, - "ref_2014_cost": 225.9430153073019, - "soln_first_cost_efficiency_rate": 0.13, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": 10.0, - "soln_avg_annual_use": 1.0, - "soln_var_oper_cost_per_funit": 660411322.8072591, - "soln_fixed_oper_cost_per_iunit": 0.0, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": 2.3240931447627027, - "soln_energy_efficiency_factor": 0.1165, - "soln_annual_energy_used": 0.0, - "conv_fuel_consumed_per_funit": 23658.76830368019, - "soln_fuel_efficiency_factor": 0.0806, - "conv_fuel_emissions_factor": 61.051339971807074, - "soln_fuel_emissions_factor": 61.051339971807074, - "conv_emissions_per_funit": 0.0, - "soln_emissions_per_funit": 0.0, - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": 0.0, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": 0.0, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 3.2, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.7, - "USA": 2.5 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book Ed.1 Scenario 2", - "soln_pds_adoption_scenarios_included": [], - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ] -} \ No newline at end of file diff --git a/solution/smartthermostats/ac/PDS3-50p2050-cs-High_E1096,_F759_Book_Ed1.json b/solution/smartthermostats/ac/PDS3-50p2050-cs-High_E1096,_F759_Book_Ed1.json deleted file mode 100644 index 9fad7e333..000000000 --- a/solution/smartthermostats/ac/PDS3-50p2050-cs-High_E1096,_F759_Book_Ed1.json +++ /dev/null @@ -1,82 +0,0 @@ -{ - "name": "PDS3-50p2050-cs-High E10.96, F7.59 (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "creation_date": "2018-02-26 14:09:33", - "description": "After Integrating the results of other solutions in the Buildings Sector, the impact of Smart Thermostats is reduced to account for effects of previous solutions such as envelope solutions. The adoption (High of all Custom Scenarios each year), electricity savings (E=10.96%) and fuel savings (F=7.59%) are selected to match this scenario with other building solutions. This scenario uses inputs developed for the Drawdown book edition 1, some of which have been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": 39.3510612050925, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": 23.75, - "conv_avg_annual_use": 1.0, - "conv_var_oper_cost_per_funit": 738936667.283452, - "conv_fixed_oper_cost_per_iunit": 0.0, - "conv_fuel_cost_per_funit": 0.0, - "pds_2014_cost": 225.9430153073019, - "ref_2014_cost": 225.9430153073019, - "soln_first_cost_efficiency_rate": 0.13, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": 10.0, - "soln_avg_annual_use": 1.0, - "soln_var_oper_cost_per_funit": 660411322.8072591, - "soln_fixed_oper_cost_per_iunit": 0.0, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": 2.3240931447627027, - "soln_energy_efficiency_factor": 0.1096, - "soln_annual_energy_used": 0.0, - "conv_fuel_consumed_per_funit": 23658.76830368019, - "soln_fuel_efficiency_factor": 0.0759, - "conv_fuel_emissions_factor": 61.051339971807074, - "soln_fuel_emissions_factor": 61.051339971807074, - "conv_emissions_per_funit": 0.0, - "soln_emissions_per_funit": 0.0, - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": 0.0, - "ch4_is_co2eq": true, - "n2o_co2_per_funit": 0.0, - "n2o_is_co2eq": true, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 3.2, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.7, - "USA": 2.5 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Drawdown Book Ed.1 Scenario 3", - "soln_pds_adoption_scenarios_included": [], - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ] -} \ No newline at end of file diff --git a/solution/sustainableclothing/ac/PDS2-32p2050-Dec20.json b/solution/sustainableclothing/ac/PDS2-32p2050-Dec20.json deleted file mode 100644 index e69f21485..000000000 --- a/solution/sustainableclothing/ac/PDS2-32p2050-Dec20.json +++ /dev/null @@ -1,110 +0,0 @@ -{ - "name": "PDS2-32p2050-Dec20", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "Description:", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 1826709.06878307, - "xls cell formula": "'Supply Chain Inputs'!R39" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 20.0, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.0, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 427424.208918111, - "xls cell formula": "'Supply Chain Inputs'!R60" - }, - "conv_fixed_oper_cost_per_iunit": 0.0, - "conv_fuel_cost_per_funit": 0.0, - "pds_2014_cost": { - "value": 2757244354.49735, - "xls cell formula": "'Supply Chain Inputs'!H39" - }, - "ref_2014_cost": { - "value": 2757244354.49735, - "xls cell formula": "'Supply Chain Inputs'!H39" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 20.0, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.0, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 417810.658918111, - "xls cell formula": "'Supply Chain Inputs'!H60" - }, - "soln_fixed_oper_cost_per_iunit": 0.0, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.0, - "conv_annual_energy_used": 0.0, - "soln_energy_efficiency_factor": 0.0, - "soln_annual_energy_used": 0.0, - "conv_fuel_consumed_per_funit": 0.0, - "soln_fuel_efficiency_factor": 0.0, - "conv_fuel_emissions_factor": 0.0, - "soln_fuel_emissions_factor": 0.0, - "conv_emissions_per_funit": { - "value": 130842755.367237, - "xls cell formula": "'Supply Chain Inputs'!R7" - }, - "soln_emissions_per_funit": { - "value": 103914457.88568, - "xls cell formula": "'Supply Chain Inputs'!H7" - }, - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": 0.0, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": 0.0, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "ALL SOURCES", - "pds_source_post_2014": "ALL SOURCES", - "ref_base_adoption": { - "World": 0.0506916467084611, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "DEFAULT Linear", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.32, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "creation_date": "2020-12-04 21:38:52" -} \ No newline at end of file diff --git a/solution/temperateforests/ac/PDS-49p2050-Plausible-PDScustom-avg-Bookedition1.json b/solution/temperateforests/ac/PDS-49p2050-Plausible-PDScustom-avg-Bookedition1.json deleted file mode 100644 index 1cac976d5..000000000 --- a/solution/temperateforests/ac/PDS-49p2050-Plausible-PDScustom-avg-Bookedition1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-49p2050-Plausible-PDScustom-avg-Bookedition1", - "solution_category": "land", - "vmas": "VMAs", - "vma_values": { - "Percent of Degraded Land Suitable for Intact Temperate Forest Restoration": 149.709401725504 - }, - "description": "This scenario presents the plausible scenario results of the Book edition 1. Thus, it has the same inputs as that of Book edition 1. The results based on new changes are stored as separate scenarios. \r\n\r\nThe current adoption of the solution was assumed to be 0. The future adoption scenarios were built on the commitments given for temperate forest restoration in the Bonn Challenge and New York Deceleration in addition to the World Resources Institute's projected estimates for the solution. Several custom adoption scenarios were built to project either the intact or wide scale restoration of temperate forests in 15 years (by 2030), in 30 years (by 2045), and in 45 years (by 2060) compare to the situation in 2015. This scenario derives the result from the \"average of all\" PDS custom adoption scenarios. Please note; there are nine custom adoption scenarios, but this scenario has used only first seven custom adoption scenarios given in the \"Custom PDS adoption sheet\".", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 2.96222222222222, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-12 11:24:30" -} \ No newline at end of file diff --git a/solution/temperateforests/ac/PDS-73p2050-Drawdown-PDScustom-high-Bookedition1.json b/solution/temperateforests/ac/PDS-73p2050-Drawdown-PDScustom-high-Bookedition1.json deleted file mode 100644 index e9482889d..000000000 --- a/solution/temperateforests/ac/PDS-73p2050-Drawdown-PDScustom-high-Bookedition1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-73p2050-Drawdown-PDScustom-high-Bookedition1", - "solution_category": "land", - "vmas": "VMAs", - "vma_values": { - "Percent of Degraded Land Suitable for Intact Temperate Forest Restoration": 149.709401725504 - }, - "description": "This scenario presents the plausible scenario results of the Book edition 1. Thus, it has the same inputs as that of Book edition 1. The results based on new changes are stored as separate scenarios. \r\n\r\nThe current adoption of the solution was assumed to be 0. The future adoption scenarios were built on the commitments given for temperate forest restoration in the Bonn Challenge and New York Deceleration in addition to the World Resources Institute's projected estimates for the solution. Several custom adoption scenarios were built to project either the intact or wide scale restoration of temperate forests in 15 years (by 2030), in 30 years (by 2045), and in 45 years (by 2060) compare to the situation in 2015. This scenario derives the result from the \"high of all\" PDS custom adoption scenarios. Please note; there are nine custom adoption scenarios, but this scenario has used only first seven custom adoption scenarios given in the \"Custom PDS adoption sheet\".", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 2.96222222222222, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-12 11:25:21" -} \ No newline at end of file diff --git a/solution/temperateforests/ac/PDS-74p2050-Optimum-PDScustom-100%in15years-Bookedition1.json b/solution/temperateforests/ac/PDS-74p2050-Optimum-PDScustom-100%in15years-Bookedition1.json deleted file mode 100644 index 70728970a..000000000 --- a/solution/temperateforests/ac/PDS-74p2050-Optimum-PDScustom-100%in15years-Bookedition1.json +++ /dev/null @@ -1,117 +0,0 @@ -{ - "name": "PDS-74p2050-Optimum-PDScustom-100%in15years-Bookedition1", - "solution_category": "land", - "vmas": "VMAs", - "vma_values": { - "Percent of Degraded Land Suitable for Intact Temperate Forest Restoration": 149.709401725504 - }, - "description": "This scenario presents the plausible scenario results of the Book edition 1. Thus, it has the same inputs as that of Book edition 1. The results based on new changes are stored as separate scenarios. \r\n\r\nThe current adoption of the solution was assumed to be 0. The future adoption scenarios were built on the commitments given for temperate forest restoration in the Bonn Challenge and New York Deceleration in addition to the World Resources Institute's projected estimates for the solution. Several custom adoption scenarios were built to project either the intact or wide scale restoration of temperate forests in 15 years (by 2030), in 30 years (by 2045), and in 45 years (by 2060) compare to the situation in 2015. This scenario presents the result of the \"Optimistic-Achieve Commitment in 15 years w/ 100% intact, WRI estimates (Charlotte Wheller, 2016)\" PDS custom scenario.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Optimistic-Achieve Commitment in 15 years w/ 100% intact, WRI estimates (Charlotte Wheeler, 2016)", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 2.96222222222222, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-12 11:28:22" -} \ No newline at end of file diff --git a/solution/trains/ac/PDS1-4p2050-Doubled_Historical_Electrification_Rate_Book_Ed1.json b/solution/trains/ac/PDS1-4p2050-Doubled_Historical_Electrification_Rate_Book_Ed1.json deleted file mode 100644 index d96cd761e..000000000 --- a/solution/trains/ac/PDS1-4p2050-Doubled_Historical_Electrification_Rate_Book_Ed1.json +++ /dev/null @@ -1,151 +0,0 @@ -{ - "name": "PDS1-4p2050-Doubled Historical Electrification Rate (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "Electrified railway tkms increase at TWICE the historical average annual rate of track electrification. Using UIC data, we estimate the average electrification rate at 1.4% annually. We double this and use this rate as the optimistically plausible electrification rate. This is reasonable since it still remains below the annual rate of many year's growth according to UIC data below. This may come from increased track length and uniform usage, or higher usage of electrified tracks versus other tracks. This scenario uses inputs from the model developed for the Drawdown book, some of which have been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 217.46541906800368, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 7.248847302266793, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 8946.708608056493, - "pds_2014_cost": { - "value": 1888940.5168064325, - "statistic": "" - }, - "ref_2014_cost": { - "value": 1888940.5168064325, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 217.4654190680037, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 7.248847302266793, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 1043.9785714285686, - "npv_discount_rate": 0.06245, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 1.1035714285714256e-05, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 6855.0407555928305, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 1.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 2751916.5073962263, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "PDS2 - Doubling of Historical Electrification Rate (UIC data)", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Drawdown Book Reference Scenario", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-03-27 17:15:43" -} \ No newline at end of file diff --git a/solution/trains/ac/PDS2-5p2050-based_on_on_IEA_2DS_Book_Ed1.json b/solution/trains/ac/PDS2-5p2050-based_on_on_IEA_2DS_Book_Ed1.json deleted file mode 100644 index 4525b5da2..000000000 --- a/solution/trains/ac/PDS2-5p2050-based_on_on_IEA_2DS_Book_Ed1.json +++ /dev/null @@ -1,151 +0,0 @@ -{ - "name": "PDS2-5p2050-based on on IEA 2DS (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "UIC data for 2014 indicates 27% electrification of rails. The IEA 2DS scenario projects that 40% of rail freight can be powered by electricity by 2050. We linearly interpolate between these two percentages. We also use an annual average use rate that is 25% higher for the electrified tracks than the conventional. This scenario uses inputs from the model prepared for the Drawdown book, some of which have been updated for new scenarios.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 217.46541906800368, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 7.248847302266793, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 8946.708608056493, - "pds_2014_cost": { - "value": 1888940.5168064325, - "statistic": "" - }, - "ref_2014_cost": { - "value": 1888940.5168064325, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 217.4654190680037, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 9.061059127833488, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 1043.9785714285686, - "npv_discount_rate": 0.06245, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 1.1035714285714256e-05, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 6855.0407555928305, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 1.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 2751916.5073962263, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "PDS1 - Linear projection of Electricity-powered rail freight from 27% of rail freight in 2014 to 40% in 2050 (IEA 2DS projection)", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Drawdown Book Reference Scenario", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-03-27 17:16:56" -} \ No newline at end of file diff --git a/solution/trains/ac/PDS3-10p2050-Full_Electrification_Book_Ed1.json b/solution/trains/ac/PDS3-10p2050-Full_Electrification_Book_Ed1.json deleted file mode 100644 index f24845216..000000000 --- a/solution/trains/ac/PDS3-10p2050-Full_Electrification_Book_Ed1.json +++ /dev/null @@ -1,151 +0,0 @@ -{ - "name": "PDS3-10p2050-Full Electrification (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "UIC data for 2014 indicates 27% electrification of rails. The IEA 2DS scenario projects that 40% of rail freight can be powered by electricity by 2050. We examine the impact of making this target 100% in 2050 by linearly interpolating between these two percentages (Note TAM is all freight including non-rail). We also assume a doubling of the electrified track usage versus the conventional. This scenario uses inputs to the model developed for the Drawdown book, some of which have been updated for later scenarios.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 217.46541906800368, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 7.248847302266793, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 8946.708608056493, - "pds_2014_cost": { - "value": 1888940.5168064325, - "statistic": "" - }, - "ref_2014_cost": { - "value": 1888940.5168064325, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 217.4654190680037, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 14.49769460453358, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 1043.9785714285686, - "npv_discount_rate": 0.06245, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 1.1035714285714256e-05, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 6855.0407555928305, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 1.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 2751916.5073962263, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "PDS3 - 2nd Linear projection of Electricity-powered rail freight from 27% of rail freight in 2014 to 45% in 2050", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Drawdown Book Reference Scenario", - "soln_ref_adoption_regional_data": false, - "creation_date": "2018-03-27 17:20:30" -} \ No newline at end of file diff --git a/solution/treeintercropping/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json b/solution/treeintercropping/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index b3a3aad89..000000000 --- a/solution/treeintercropping/ac/PDS-100p2050-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-100p2050-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is calculated by taking the % tree cover from Zomer 2016 and applied it on total cropland area. However, the future adoption scenarios were totally based on linear adoption of (55-100%) adoption by 2050 in the absence of any historical growth rate or future prognostications. This scenario derives result from the \"high of all\" PDS custom scenarios. The results are marginally higher than to that of the Book Version1, as the tropical and temperate models were combined together to create a single model for tree intercropping. This revised model involves changes in the financial variables, correction of the net profit margin , and estimation of operational cost which was missing in the Book Version1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 63.315, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 895.143179725713, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 4966.87589930957, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 716.252, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 716.252, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 977.26681608935, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0228807142857143, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 1.575, - "Temperate-Humid": 1.291, - "Boreal-Humid": 1.291, - "Tropical-Semi-Arid": 2.51629411764706, - "Temperate-Semi-Arid": 0.0, - "Boreal-Semi-Arid": 0.0, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-03 15:50:07" -} \ No newline at end of file diff --git a/solution/treeintercropping/ac/PDS-56p2050-Plausible-PDScustom-low-BookVersion1.json b/solution/treeintercropping/ac/PDS-56p2050-Plausible-PDScustom-low-BookVersion1.json deleted file mode 100644 index 71367c770..000000000 --- a/solution/treeintercropping/ac/PDS-56p2050-Plausible-PDScustom-low-BookVersion1.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-56p2050-Plausible-PDScustom-low-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is calculated by taking the % tree cover from Zomer 2016 and applied it on total cropland area. However, the future adoption scenarios were totally based on linear adoption of (55-100%) adoption by 2050 in the absence of any historical growth rate or future prognostications. This scenario derives result from the \"low of all\" PDS custom scenarios. The results are marginally higher than to that of the Book Version1, as the tropical and temperate models were combined together to create a single model for tree intercropping. This revised model involves changes in the financial variables, correction of the net profit margin , and estimation of operational cost which was missing in the Book Version1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 63.315, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Low of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 895.143179725713, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 4966.87589930957, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 716.252, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 716.252, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 977.26681608935, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0228807142857143, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 1.575, - "Temperate-Humid": 1.291, - "Boreal-Humid": 1.291, - "Tropical-Semi-Arid": 2.51629411764706, - "Temperate-Semi-Arid": 0.0, - "Boreal-Semi-Arid": 0.0, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-03 15:48:27" -} \ No newline at end of file diff --git a/solution/treeintercropping/ac/PDS-75p2050-Drawdown-PDScustom-avg-BookVersion1.json b/solution/treeintercropping/ac/PDS-75p2050-Drawdown-PDScustom-avg-BookVersion1.json deleted file mode 100644 index 57e8db6e6..000000000 --- a/solution/treeintercropping/ac/PDS-75p2050-Drawdown-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "PDS-75p2050-Drawdown-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is calculated by taking the % tree cover from Zomer 2016 and applied it on total cropland area. However, the future adoption scenarios were totally based on linear adoption of (55-100%) adoption by 2050 in the absence of any historical growth rate or future prognostications. This scenario derives result from the \"average of all\" PDS custom scenarios. The results are marginally lower than to that of the Book Version1, as the tropical and temperate models were combined together to create a single model for tree intercropping. This revised model involves changes in the financial variables, correction of the net profit margin , and estimation of operational cost which was missing in the Book Version1. ", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": false, - "ref_base_adoption": { - "World": 63.315, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 895.143179725713, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 4966.87589930957, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 716.252, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 716.252, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 977.26681608935, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0228807142857143, - "statistic": "mean" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": NaN, - "seq_rate_per_regime": { - "Tropical-Humid": 1.575, - "Temperate-Humid": 1.291, - "Boreal-Humid": 1.291, - "Tropical-Semi-Arid": 2.51629411764706, - "Temperate-Semi-Arid": 0.0, - "Boreal-Semi-Arid": 0.0, - "Global Arid": 0.0, - "Global Arctic": 0.0 - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-03 15:49:17" -} \ No newline at end of file diff --git a/solution/tropicalforests/ac/PDS-58p2050-Plausible-PDScustom-avg-Bookedition1.json b/solution/tropicalforests/ac/PDS-58p2050-Plausible-PDScustom-avg-Bookedition1.json deleted file mode 100644 index 66e021e4a..000000000 --- a/solution/tropicalforests/ac/PDS-58p2050-Plausible-PDScustom-avg-Bookedition1.json +++ /dev/null @@ -1,131 +0,0 @@ -{ - "name": "PDS-58p2050-Plausible-PDScustom-avg-Bookedition1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario presents the plausible scenario results of the Book edition 1. Thus, it has the same inputs as that of Book edition 1. The results based on new data points are stored as separate scenarios. \r\n\r\nThe current adoption of the solution was assumed to be 0. The future adoption scenarios were built on the commitments given for temperate forest restoration in the Bonn Challenge and New York Deceleration in addition to the World Resources Institute's projected estimates for the solution. Several custom adoption scenarios were built to project either the intact or wide scale restoration of temperate forests in 15 years (by 2030), in 30 years (by 2045), and in 45 years (by 2060) compare to the situation in 2015. This scenario derives the result from the \"average of all\" PDS custom adoption scenarios. Please note; there are nine custom adoption scenarios, but this scenario has used only first seven custom adoption scenarios given in the \"Custom PDS adoption sheet\".", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.150868085, - "statistic": "" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-12 10:03:12" -} \ No newline at end of file diff --git a/solution/tropicalforests/ac/PDS-79p2050-Drawdown-PDScustom-high-Bookedition1.json b/solution/tropicalforests/ac/PDS-79p2050-Drawdown-PDScustom-high-Bookedition1.json deleted file mode 100644 index 138188c5c..000000000 --- a/solution/tropicalforests/ac/PDS-79p2050-Drawdown-PDScustom-high-Bookedition1.json +++ /dev/null @@ -1,131 +0,0 @@ -{ - "name": "PDS-79p2050-Drawdown-PDScustom-high-Bookedition1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario presents the plausible scenario results of the Book edition 1. Thus, it has the same inputs as that of Book edition 1. The results based on new data points are stored as separate scenarios.\r\n\r\nThe current adoption of the solution was assumed to be 0. The future adoption scenarios were built on the commitments given for temperate forest restoration in the Bonn Challenge and New York Deceleration in addition to the World Resources Institute's projected estimates for the solution. Several custom adoption scenarios were built to project either the intact or wide scale restoration of temperate forests in 15 years (by 2030), in 30 years (by 2045), and in 45 years (by 2060) compare to the situation in 2015. This scenario derives the result from the \"high of all\" PDS custom adoption scenarios. \rPlease note; there are nine custom adoption scenarios, but this scenario has used only first seven custom adoption scenarios given in the \"Custom PDS adoption sheet\".\n", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.150868085, - "statistic": "" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-12 10:04:02" -} \ No newline at end of file diff --git a/solution/tropicalforests/ac/PDS-84p2050-Optimum-PDScustom-100%intact15years-Bookedition1.json b/solution/tropicalforests/ac/PDS-84p2050-Optimum-PDScustom-100%intact15years-Bookedition1.json deleted file mode 100644 index 9a5d0d89c..000000000 --- a/solution/tropicalforests/ac/PDS-84p2050-Optimum-PDScustom-100%intact15years-Bookedition1.json +++ /dev/null @@ -1,131 +0,0 @@ -{ - "name": "PDS-84p2050-Optimum-PDScustom-100%intact15years-Bookedition1", - "solution_category": "land", - "vmas": "VMAs", - "description": "This scenario presents the plausible scenario results of the Book edition 1. Thus, it has the same inputs as that of Book edition 1. The results based on new data points are stored as separate scenarios. \r\n\r\nThe current adoption of the solution was assumed to be 0. The future adoption scenarios were built on the commitments given for temperate forest restoration in the Bonn Challenge and New York Deceleration in addition to the World Resources Institute's projected estimates for the solution. Several custom adoption scenarios were built to project either the intact or wide scale restoration of temperate forests in 15 years (by 2030), in 30 years (by 2045), and in 45 years (by 2060) compare to the situation in 2015. This scenario presents the result of \"Optimistic-Achieve Commitment in 15 years w/ 100% intact, NYDF/2030\" PDS custom adoption scenario. This proposes 100% intact restoration of degraded tropical forests in 15 years. Please note; there are nine custom adoption scenarios, but this scenario has used only first seven custom adoption scenarios given in the \"Custom PDS adoption sheet\".", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": [ - [ - "World", - 0.0 - ], - [ - "OECD90", - 0.0 - ], - [ - "Eastern Europe", - 0.0 - ], - [ - "Asia (Sans Japan)", - 0.0 - ], - [ - "Middle East and Africa", - 0.0 - ], - [ - "Latin America", - 0.0 - ], - [ - "China", - 0.0 - ], - [ - "India", - 0.0 - ], - [ - "EU", - 0.0 - ], - [ - "USA", - 0.0 - ] - ], - "soln_pds_adoption_custom_name": "Optimistic-Achieve Commitment in 15 years w/ 100% intact, NYDF/2030 (Charlotte Wheeler, 2016)", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 0.0, - "statistic": "" - }, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0, - "statistic": "" - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.150868085, - "statistic": "" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-07-12 10:05:15" -} \ No newline at end of file diff --git a/solution/tropicaltreestaples/ac/PDS-52p2050-Plausible-PDScustom-low-BookVersion1.json b/solution/tropicaltreestaples/ac/PDS-52p2050-Plausible-PDScustom-low-BookVersion1.json deleted file mode 100644 index 218e3d323..000000000 --- a/solution/tropicaltreestaples/ac/PDS-52p2050-Plausible-PDScustom-low-BookVersion1.json +++ /dev/null @@ -1,113 +0,0 @@ -{ - "name": "PDS-52p2050-Plausible-PDScustom-low-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is based on the historical data (1962-2012) available on tropical staple crops (avocados, bananas, Brazil nuts, carobs, cashew nuts, coconuts, dates, oil palm, plantains) for different regions from FAO. The data was interpolated to get the current adoption value in the year 2014. The future adoption was also projected based on the historical growth rate with some of the custom scenarios assuming an early growth (60-75%) by 2030. This scenario presents the \"low of all\" PDS custom adoption scenario. The results are marginally higher than the Book Version 1 result, so no separate scenario was stored for the later. This version involves changes in the net profit margin calculation methodology, correction of current adoption value, revision of the custom adoption scenarios, and estimation of operational cost which was missing in the Book Version 1. This solution was allocated both in the cropland and grassland AEZs, so we have created two separate models for this solution. One for the cropland AEZs and one for the grassland AEZs. The model built for the cropland AEZs has only half of the allocated current adoption of this solution, so that model doesn't have any future adoption scenarios and therefore no results were generated there. This model is built for the grassland AEZs, where half of the current adoption and all of the future adoption of this solution is allocated. Thus, for this solution, the results are coming only from this model, although we have created two separate models.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 25.4244619818115, - "OECD90": 0.031425490346842, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 28.591654701288, - "Middle East and Africa": 17.0138960019389, - "Latin America": 5.21194777004929, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Low of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 328.415857769938, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 1887.29363636364, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 1887.29363636364, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 2570.47320351396, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0 - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.75384615384615, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 10:54:44" -} \ No newline at end of file diff --git a/solution/tropicaltreestaples/ac/PDS-68p2050-Drawdown-PDScustom-avg-BookVersion1.json b/solution/tropicaltreestaples/ac/PDS-68p2050-Drawdown-PDScustom-avg-BookVersion1.json deleted file mode 100644 index 1820b50d8..000000000 --- a/solution/tropicaltreestaples/ac/PDS-68p2050-Drawdown-PDScustom-avg-BookVersion1.json +++ /dev/null @@ -1,113 +0,0 @@ -{ - "name": "PDS-68p2050-Drawdown-PDScustom-avg-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is based on the historical data (1962-2012) available on tropical staple crops (avocados, bananas, Brazil nuts, carobs, cashew nuts, coconuts, dates, oil palm, plantains) for different regions from FAO. The data was interpolated to get the current adoption value in the year 2014. The future adoption was also projected based on the historical growth rate with some of the custom scenarios assuming an early growth (60-75%) by 2030. This scenario presents the \"average of all\" PDS custom adoption scenario. The results are marginally higher than the Book Version 1 result, so no separate scenario was stored for the later. This version involves changes in the net profit margin calculation methodology, correction of current adoption value, revision of the custom adoption scenarios, and estimation of operational cost which was missing in the Book Version 1. This solution was allocated both in the cropland and grassland AEZs, so we have created two separate models for this solution. One for the cropland AEZs and one for the grassland AEZs. The model built for the cropland AEZs has only half of the allocated current adoption of this solution, so that model doesn't have any future adoption scenarios and therefore no results were generated there. This model is built for the grassland AEZs, where half of the current adoption and all of the future adoption of this solution is allocated. Thus, for this solution, the results are coming only from this model, although we have created two separate models.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 25.4244619818115, - "OECD90": 0.031425490346842, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 28.591654701288, - "Middle East and Africa": 17.0138960019389, - "Latin America": 5.21194777004929, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Average of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 328.415857769938, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 1887.29363636364, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 1887.29363636364, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 2570.47320351396, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0 - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.75384615384615, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 10:55:29" -} \ No newline at end of file diff --git a/solution/tropicaltreestaples/ac/PDS-84p2050-Optimum-PDScustom-high-BookVersion1.json b/solution/tropicaltreestaples/ac/PDS-84p2050-Optimum-PDScustom-high-BookVersion1.json deleted file mode 100644 index e698196e7..000000000 --- a/solution/tropicaltreestaples/ac/PDS-84p2050-Optimum-PDScustom-high-BookVersion1.json +++ /dev/null @@ -1,113 +0,0 @@ -{ - "name": "PDS-84p2050-Optimum-PDScustom-high-BookVersion1", - "solution_category": "land", - "vmas": "VMAs", - "description": "The current adoption of this solution is based on the historical data (1962-2012) available on tropical staple crops (avocados, bananas, Brazil nuts, carobs, cashew nuts, coconuts, dates, oil palm, plantains) for different regions from FAO. The data was interpolated to get the current adoption value in the year 2014. The future adoption was also projected based on the historical growth rate with some of the custom scenarios assuming an early growth (60-75%) by 2030. This scenario presents the \"high of all\" PDS custom adoption scenario. The results are marginally higher than the Book Version 1 result, so no separate scenario was stored for the later. This version involves changes in the net profit margin calculation methodology, correction of current adoption value, revision of the custom adoption scenarios, and estimation of operational cost which was missing in the Book Version 1. This solution was allocated both in the cropland and grassland AEZs, so we have created two separate models for this solution. One for the cropland AEZs and one for the grassland AEZs. The model built for the cropland AEZs has only half of the allocated current adoption of this solution, so that model doesn't have any future adoption scenarios and therefore no results were generated there. This model is built for the grassland AEZs, where half of the current adoption and all of the future adoption of this solution is allocated. Thus, for this solution, the results are coming only from this model, although we have created two separate models.", - "report_start_year": 2020, - "report_end_year": 2050, - "use_custom_tla": true, - "ref_base_adoption": { - "World": 25.4244619818115, - "OECD90": 0.031425490346842, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 28.591654701288, - "Middle East and Africa": 17.0138960019389, - "Latin America": 5.21194777004929, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "High of All Custom Scenarios", - "soln_ref_adoption_basis": "Default", - "soln_ref_adoption_regional_data": false, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_fixed_oper_cost_per_iunit": { - "value": 328.415857769938, - "statistic": "mean" - }, - "conv_expected_lifetime": 30.0, - "yield_from_conv_practice": { - "value": 3.42857142857143, - "statistic": "mean" - }, - "pds_2014_cost": { - "value": 1887.29363636364, - "statistic": "mean" - }, - "ref_2014_cost": { - "value": 1887.29363636364, - "statistic": "mean" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_fixed_oper_cost_per_iunit": { - "value": 2570.47320351396, - "statistic": "mean" - }, - "soln_expected_lifetime": 30.0, - "yield_gain_from_conv_to_soln": { - "value": 0.0 - }, - "npv_discount_rate": 0.1, - "emissions_use_co2eq": true, - "emissions_use_agg_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "conv_indirect_co2_per_unit": 0.0, - "soln_indirect_co2_per_iunit": 0.0, - "tco2eq_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2eq_rplu_rate": "One-time", - "tco2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tco2_rplu_rate": "One-time", - "tn2o_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tn2o_co2_rplu_rate": "One-time", - "tch4_co2_reduced_per_land_unit": { - "value": 0.0, - "statistic": "" - }, - "tch4_co2_rplu_rate": "One-time", - "land_annual_emissons_lifetime": 100.0, - "conv_annual_energy_used": 0.0, - "soln_annual_energy_used": 0.0, - "seq_rate_global": { - "value": 4.75384615384615, - "statistic": "mean" - }, - "carbon_not_emitted_after_harvesting": { - "value": 0.0, - "statistic": "" - }, - "disturbance_rate": { - "value": 0.0, - "statistic": "" - }, - "harvest_frequency": 100.0, - "creation_date": "2018-08-02 10:56:06" -} \ No newline at end of file diff --git a/solution/trucks/ac/PDS1-7p2050-Based_on_ICCTRMI_Book_Ed1.json b/solution/trucks/ac/PDS1-7p2050-Based_on_ICCTRMI_Book_Ed1.json deleted file mode 100644 index dae19921e..000000000 --- a/solution/trucks/ac/PDS1-7p2050-Based_on_ICCTRMI_Book_Ed1.json +++ /dev/null @@ -1,154 +0,0 @@ -{ - "name": "PDS1-7p2050-Based on ICCT/RMI (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "ICCT estimates the total freight work each five years, and RMI estimates that by 2050 50% of trucks globally may have efficient technologies (7% of entire freight market). We therefore interpolate and extrapolate ICCT's freight work data and project linear adoption globally from current adoption of truck freight work (approximately 5%) to RMI's projection in 2050. This book scenario uses the previously estimated current adoption, lifetimes, average annual use and the adoption projection using older data. These have all since been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 18.301358278305766, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 0.814618720197838, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 49535.4361898068, - "pds_2014_cost": { - "value": 49701.61706839143, - "statistic": "" - }, - "ref_2014_cost": { - "value": 49701.61706839143, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.1, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 18.301358278305766, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 0.814618720197838, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 30101.0333913393, - "npv_discount_rate": 0.093, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 37954.453285917254, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.3923333333333334, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Based on: IEA ETP 2014 6DS", - "pds_source_post_2014": "Based on: IEA ETP 2014 2DS", - "ref_base_adoption": { - "World": 600621.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Book Ed.1 Scenario 1", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Drawdown Book Reference Scenario", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-02-19 18:40:18" -} \ No newline at end of file diff --git a/solution/trucks/ac/PDS2-9p2050-Based_on_ICCT_Book_Ed1.json b/solution/trucks/ac/PDS2-9p2050-Based_on_ICCT_Book_Ed1.json deleted file mode 100644 index c577148c5..000000000 --- a/solution/trucks/ac/PDS2-9p2050-Based_on_ICCT_Book_Ed1.json +++ /dev/null @@ -1,154 +0,0 @@ -{ - "name": "PDS2-9p2050-Based on ICCT (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We use the number of truck sales estimated for each of ICCT's 16 regions (interpolated and extrapolated for each) to estimate the number of truck with efficiency packages installed. ICCT has an estimate of the year when truck fuel efficiency legislation becomes mandatory for each region. This scenario uses the current adoption, lifetimes and average annual use values from the model developed for the book, which have since been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 18.301358278305766, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 0.814618720197838, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 49535.4361898068, - "pds_2014_cost": { - "value": 49701.61706839143, - "statistic": "" - }, - "ref_2014_cost": { - "value": 49701.61706839143, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.1, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 18.301358278305766, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 0.814618720197838, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 30101.0333913393, - "npv_discount_rate": 0.093, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 37954.453285917254, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.3923333333333334, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Based on: IEA ETP 2014 6DS", - "pds_source_post_2014": "Based on: IEA ETP 2014 2DS", - "ref_base_adoption": { - "World": 600621.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "PDS2 - Based on an ICCT Truck Sales extrapolation", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Drawdown Book Reference Scenario", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-02-19 18:43:12" -} \ No newline at end of file diff --git a/solution/trucks/ac/PDS3-15p2050-Maximum_Book_Ed1.json b/solution/trucks/ac/PDS3-15p2050-Maximum_Book_Ed1.json deleted file mode 100644 index a6877dd17..000000000 --- a/solution/trucks/ac/PDS3-15p2050-Maximum_Book_Ed1.json +++ /dev/null @@ -1,154 +0,0 @@ -{ - "name": "PDS3-15p2050-Maximum (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "IEA\"s estimated Truck freight work data are interpolated and extrapolated and we apply an increasing fraction of adoption rising to 100% in 2035. This represents 15% of the global freight market. This scenario uses the previously estimated current adoption, lifetime, average annual use and TAM data as developed for the book. These values have all since been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 18.301358278305766, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 0.814618720197838, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 49535.4361898068, - "pds_2014_cost": { - "value": 49701.61706839143, - "statistic": "" - }, - "ref_2014_cost": { - "value": 49701.61706839143, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.1, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 18.301358278305766, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 0.814618720197838, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 30101.0333913393, - "npv_discount_rate": 0.093, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 37954.453285917254, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 0.3923333333333334, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.00268891857, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 0.0, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Based on: IEA ETP 2014 6DS", - "pds_source_post_2014": "Based on: IEA ETP 2014 2DS", - "ref_base_adoption": { - "World": 600621.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "Book Ed.1 Scenario 3", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Drawdown Book Reference Scenario", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-02-19 18:52:42" -} \ No newline at end of file diff --git a/solution/walkablecities/ac/PDS1-4p2050-Based_on_ITDPUCD_Book_Ed1.broken b/solution/walkablecities/ac/PDS1-4p2050-Based_on_ITDPUCD_Book_Ed1.broken deleted file mode 100644 index ca75f8136..000000000 --- a/solution/walkablecities/ac/PDS1-4p2050-Based_on_ITDPUCD_Book_Ed1.broken +++ /dev/null @@ -1,155 +0,0 @@ -{ - "name": "PDS1-4p2050-Based on ITDP/UCD (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "Taking the projected walking according to ITDP/UCD's Global High Shift Cycling Scenario (2015) results, we interpolate for missing years using a 3rd Degree Poynomial. This is the book scenario which has the same inputs as the updated scenario.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 1.4162003604e-08, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.4162003604e-08, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 11732406.139444258, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 1.5973752970573485, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 55303315.086855, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 1.6209874133333332e-09, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.6209874133333332e-09, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 52941803.479383595, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 1.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 30976.73458017209, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 1523.491464812742, - "OECD90": 205.85584501120192, - "Eastern Europe": 57.71269810953001, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 310.14334483044007, - "India": 180.29053359808, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Existing Adoption Prognostications", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_prognostication_source": "ITDP/UCD (2015) A Global High Shift Cycling Scenario - High Shift Scenario", - "soln_pds_adoption_prognostication_trend": "3rd Poly", - "soln_pds_adoption_prognostication_growth": "Medium", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Custom REF Scenario 1: Fixed Passenger-km Annual after 2014", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ] -} diff --git a/solution/walkablecities/ac/PDS2-7p2050-24%_Annual_Density_Increase_Book_Ed1.json b/solution/walkablecities/ac/PDS2-7p2050-24%_Annual_Density_Increase_Book_Ed1.json deleted file mode 100644 index 012e34157..000000000 --- a/solution/walkablecities/ac/PDS2-7p2050-24%_Annual_Density_Increase_Book_Ed1.json +++ /dev/null @@ -1,154 +0,0 @@ -{ - "name": "PDS2-7p2050-2.4% Annual Density Increase (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We project the amount of walking that would happen in 1,737 cities worldwide representing 57% of the global urban population then we scale the total amount of walking to 100% of the world\u2019s urban population. The background calculations of this scenario use the population and density of each of the 1737 cities from Demographia\u2019s report and projects the fraction of each country\u2019s urban population in that city. We assume that that fraction is constant and then project the city\u2019s population each year to 2050 using UN projections of each country\u2019s urban population to 2050. With the TAM and total urban population projections, we estimate the mobility per urban resident each year and then apply 7% to walking in each city in each year when the density is over the \"dense city threshold\" (~3,000 p/sqkm) and 2% otherwise. Each year is scaled to the global urban population. City densities are assumed to increased by around 2.4% annually which reverses historical declines of around 2%. This scenario was calculated for the Drawdown book Edition 1. Some variables may have been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 1.4162003604e-08, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.4162003604e-08, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 11732406.139444258, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 1.5973752970573485, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 55303315.086855, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 1.6209874133333332e-09, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.6209874133333332e-09, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 52941803.479383595, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 1.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 30976.73458017209, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 1523.491464812742, - "OECD90": 205.85584501120192, - "Eastern Europe": 57.71269810953001, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 310.14334483044007, - "India": 180.29053359808, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "Fully Customized PDS", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.0, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_custom_name": "PDS2 - Increasing Urban Density with Density Driving Urban Walking (Book Ed.1)", - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Custom REF Scenario 1: Fixed Passenger-km Annual after 2014", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-12-31 18:17:59" -} \ No newline at end of file diff --git a/solution/walkablecities/ac/PDS3-8p2050-Linear_Book_Ed1.json b/solution/walkablecities/ac/PDS3-8p2050-Linear_Book_Ed1.json deleted file mode 100644 index f3c3a2444..000000000 --- a/solution/walkablecities/ac/PDS3-8p2050-Linear_Book_Ed1.json +++ /dev/null @@ -1,153 +0,0 @@ -{ - "name": "PDS3-8p2050-Linear (Book Ed.1)", - "solution_category": "reduction", - "vmas": "VMAs", - "description": "We project a straight linear growth in passenger-km to 7.6% of the global urban mobility in 2050. This scenario was developed for the Drawdown book edition 1, and has been updated.", - "report_start_year": 2020, - "report_end_year": 2050, - "conv_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "conv_first_cost_efficiency_rate": 0.0, - "conv_lifetime_capacity": { - "value": 1.4162003604e-08, - "statistic": "" - }, - "conv_avg_annual_use": { - "value": 1.4162003604e-08, - "statistic": "" - }, - "conv_var_oper_cost_per_funit": { - "value": 11732406.139444258, - "statistic": "" - }, - "conv_fixed_oper_cost_per_iunit": { - "value": 1.5973752970573485, - "statistic": "" - }, - "conv_fuel_cost_per_funit": 55303315.086855, - "pds_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "ref_2014_cost": { - "value": 0.0, - "statistic": "" - }, - "soln_first_cost_efficiency_rate": 0.0, - "soln_first_cost_below_conv": true, - "soln_lifetime_capacity": { - "value": 1.6209874133333332e-09, - "statistic": "" - }, - "soln_avg_annual_use": { - "value": 1.6209874133333332e-09, - "statistic": "" - }, - "soln_var_oper_cost_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_fixed_oper_cost_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "soln_fuel_cost_per_funit": 0.0, - "npv_discount_rate": 0.04, - "conv_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "soln_energy_efficiency_factor": { - "value": 0.0, - "statistic": "" - }, - "soln_annual_energy_used": { - "value": 0.0, - "statistic": "" - }, - "conv_fuel_consumed_per_funit": { - "value": 52941803.479383595, - "statistic": "" - }, - "soln_fuel_efficiency_factor": { - "value": 1.0, - "statistic": "" - }, - "conv_fuel_emissions_factor": { - "value": 0.002273941593, - "statistic": "" - }, - "soln_fuel_emissions_factor": { - "value": 0.0, - "statistic": "" - }, - "conv_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "soln_emissions_per_funit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_per_unit": { - "value": 30976.73458017209, - "statistic": "" - }, - "soln_indirect_co2_per_iunit": { - "value": 0.0, - "statistic": "" - }, - "conv_indirect_co2_is_iunits": false, - "ch4_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "ch4_is_co2eq": false, - "n2o_co2_per_funit": { - "value": 0.0, - "statistic": "" - }, - "n2o_is_co2eq": false, - "co2eq_conversion_source": "AR5 with feedback", - "emissions_use_co2eq": true, - "emissions_grid_source": "Meta-Analysis", - "emissions_grid_range": "Mean", - "source_until_2014": "ALL SOURCES", - "ref_source_post_2014": "Baseline Cases", - "pds_source_post_2014": "Baseline Cases", - "ref_base_adoption": { - "World": 1523.491464812742, - "OECD90": 205.85584501120192, - "Eastern Europe": 57.71269810953001, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 310.14334483044007, - "India": 180.29053359808, - "EU": 0.0, - "USA": 0.0 - }, - "soln_pds_adoption_basis": "DEFAULT Linear", - "soln_pds_adoption_regional_data": false, - "pds_adoption_final_percentage": { - "World": 0.076, - "OECD90": 0.0, - "Eastern Europe": 0.0, - "Asia (Sans Japan)": 0.0, - "Middle East and Africa": 0.0, - "Latin America": 0.0, - "China": 0.0, - "India": 0.0, - "EU": 0.0, - "USA": 0.0 - }, - "soln_ref_adoption_basis": "Custom", - "soln_ref_adoption_custom_name": "Custom REF Scenario 1: Fixed Passenger-km Annual after 2014", - "soln_ref_adoption_regional_data": false, - "pds_adoption_use_ref_years": [ - 2014 - ], - "creation_date": "2018-02-21 09:50:00" -} \ No newline at end of file diff --git a/tools/_Extraction_Guide.md b/tools/_Extraction_Guide.md index 21dca9177..52599d22f 100644 --- a/tools/_Extraction_Guide.md +++ b/tools/_Extraction_Guide.md @@ -49,6 +49,8 @@ For Excel Workbooks that follow the standard Project Drawdown templates, extract * Debug 'deep' test failures in the order they occur. Within these tests, test order follows the execution order of the process (which is also the order of the sections in the `_init_.py`), so earlier errors tend to cascade to create later ones. +* If the solution had previously skipped tests, "unskip" the tests at least temporarily to check that the behavior after a new extraction. The test may magically work now, or there could be a deeper problem that would not be discovered without this check. + ### If you see... * Errors about missing sources usually indicate old scenarios that should be deleted. diff --git a/tools/diff_testruns.py b/tools/diff_testruns.py index 01fb4a5c3..3662a838a 100644 --- a/tools/diff_testruns.py +++ b/tools/diff_testruns.py @@ -1,5 +1,6 @@ """Compare two test runs and report the deltas""" from sys import argv +import re from collections import OrderedDict def build_dict(lines): @@ -42,7 +43,17 @@ def build_diff(file1, file2): if len(line) == 0: break print(line) print("================================================================================\n") - + + # Look for exceptions in the 2nd file, since they tend to indicate deeper problems + accum = [] + for (i, ln) in enumerate(lines2): + if re.match("E \w+Error",ln) and not ln.startswith("E AssertionError"): + accum.append("Probable exception at line " + str(i+1)) + if len(accum): + print("PROBABLE EXCEPTIONS\n") + for x in accum: + print(x) + d1 = build_dict(lines1) d2 = build_dict(lines2) @@ -71,6 +82,5 @@ def build_diff(file1, file2): for name in addedkeys: print(name + " / " + d2[name]) - if __name__ == "__main__": build_diff(argv[1], argv[2]) \ No newline at end of file diff --git a/tools/expected_result_tester.py b/tools/expected_result_tester.py index 457f39280..1afff15b2 100644 --- a/tools/expected_result_tester.py +++ b/tools/expected_result_tester.py @@ -583,15 +583,14 @@ def verify_unit_adoption_calculations(obj, verify, include_regional_data=True, s def verify_helper_tables(obj, verify, include_regional_data=True): """Verified tables in Helper Tables.""" verify['Helper Tables'] = [] + verify['Helper Tables'].append( + ('B27:L73', obj.ht.soln_ref_funits_adopted().reset_index(), None, None)) if include_regional_data: verify['Helper Tables'].append( ('B91:L137', obj.ht.soln_pds_funits_adopted().reset_index(), None, None)) else: verify['Helper Tables'].append( ('B91:C137', obj.ht.soln_pds_funits_adopted().loc[:, 'World'].reset_index(), None, None)) - verify['Helper Tables'].append( - ('B27:L73', obj.ht.soln_ref_funits_adopted().reset_index(), None, None)) - return verify diff --git a/tools/summarize_expected_result.py b/tools/summarize_expected_result.py index cd9d0b3d2..3e95f9427 100644 --- a/tools/summarize_expected_result.py +++ b/tools/summarize_expected_result.py @@ -26,11 +26,11 @@ def summarize_results(input, verbose=False, module=None): scenario_name = None error_accum = {} - for line in textlines: + for (i, line) in enumerate(textlines): if not line.startswith("E "): # if we've just exited an error output block, print solution results if solname_test: # print results and reset - if module and module in solname_test: + if module is None or module in solname_test: if verbose: print(solname_test + "\n " + "\n ".join( [scenario + ":" + share_prefixes(error_accum[scenario]) for scenario in error_accum.keys()] )) else: @@ -58,9 +58,11 @@ def summarize_results(input, verbose=False, module=None): end = line.find("|",6) testname = line[5:end] error_accum[scenario_name].append(testname) + elif re.match("E \w+Error",line) and not line.startswith("E AssertionError"): + # we threw an exception. We should report that. + print(f"Probable exception at line {i+1}") - if __name__ == "__main__": parser = argparse.ArgumentParser( description='Summarize expected result tests from test output file.')