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TimoDiepersTimoDiepers
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update notebook project setup
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-72
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-72
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‎notebooks/example_setac.ipynb

Lines changed: 9 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -24,7 +24,12 @@
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"source": [
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"import bw2data as bd\n",
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"\n",
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"bd.projects.set_current(\"bw25_premise\")"
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"project_name = \"timex_example_electric_vehicle\"\n",
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"if project_name in bd.projects:\n",
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" bd.projects.delete_project(project_name)\n",
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" bd.projects.purge_deleted_directories()\n",
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"\n",
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"bd.projects.set_current(project_name)"
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]
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},
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{
@@ -33,7 +38,7 @@
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"source": [
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"## Prospective databases\n",
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"\n",
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"Created using [Ecoinvent v3.9](https://ecoinvent.org/) and [`premise`](https://github.com/polca/premise), with projections for the future electricity sectors using the SSP2-RCP19 pathway from the IAM IMAGE.\n"
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"Using [Ecoinvent v3.9](https://ecoinvent.org/) and [`premise`](https://github.com/polca/premise), we created a set of prospective databases with projections for the future electricity sectors using the SSP2-RCP19 pathway from the IAM IMAGE.\n"
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]
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},
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{
@@ -58,7 +63,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Let's make sure we start from scratch:\n"
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"Let's create a new foreground database to store the EV process:\n"
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]
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},
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{
@@ -67,9 +72,8 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"del bd.databases[\"foreground\"]\n",
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"foreground = bd.Database(\"foreground\")\n",
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"foreground.write({})"
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"foreground.write({}) # to make sure we start from scratch"
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]
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},
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{

‎notebooks/example_simple_dynamic_characterization.ipynb

Lines changed: 54 additions & 67 deletions
Original file line numberDiff line numberDiff line change
@@ -17,76 +17,12 @@
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"execution_count": 1,
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"id": "5d3622ff",
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"metadata": {},
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"outputs": [],
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"source": [
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"import bw2data as bd\n",
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"import numpy as np\n",
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"from bw_temporalis import TemporalDistribution\n",
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"\n",
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"\n",
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"def write_test_database():\n",
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"\n",
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" project_name = \"__test_database__\"\n",
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" if project_name in bd.projects:\n",
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" bd.projects.delete_project(project_name)\n",
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" bd.projects.purge_deleted_directories()\n",
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"\n",
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" bd.projects.set_current(project_name)\n",
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"\n",
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" bd.Database(\"temporalis-bio\").write(\n",
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" {\n",
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" (\"temporalis-bio\", \"CH4\"): { # only biosphere flow is CH4\n",
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" \"type\": \"emission\",\n",
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" \"name\": \"methane\",\n",
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" \"temporalis code\": \"ch4\",\n",
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" },\n",
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" }\n",
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" )\n",
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"\n",
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" bd.Database(\"test\").write( # dummy system containing 1 activity\n",
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" {\n",
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" (\"test\", \"A\"): {\n",
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" \"name\": \"A\",\n",
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" \"location\": \"somewhere\",\n",
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" \"reference product\": \"a\",\n",
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" \"exchanges\": [\n",
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" {\n",
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" \"amount\": 1,\n",
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" \"type\": \"production\",\n",
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" \"input\": (\"test\", \"A\"),\n",
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" },\n",
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" {\n",
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" \"amount\": 1,\n",
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" \"type\": \"biosphere\",\n",
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" \"input\": (\"temporalis-bio\", \"CH4\"),\n",
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" \"temporal_distribution\": TemporalDistribution(\n",
63-
" date=np.array([10], dtype=\"timedelta64[Y]\"),\n",
64-
" amount=np.array([1]),\n",
65-
" ), # emission of CH4 10 years after execution of process A\n",
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" },\n",
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" ],\n",
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" },\n",
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" }\n",
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" )\n",
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"\n",
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" bd.Method((\"GWP\", \"example\")).write(\n",
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" [\n",
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" ((\"temporalis-bio\", \"CH4\"), 29.8), # GWP100 from IPCC AR6\n",
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" ]\n",
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" )"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "e1134948",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|██████████| 1/1 [00:00<00:00, 1938.22it/s]\n"
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"100%|██████████| 1/1 [00:00<00:00, 12985.46it/s]\n"
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]
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},
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{
@@ -101,7 +37,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|██████████| 1/1 [00:00<00:00, 12985.46it/s]"
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"100%|██████████| 1/1 [00:00<00:00, 18808.54it/s]"
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]
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},
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{
@@ -120,7 +56,58 @@
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}
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],
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"source": [
123-
"write_test_database()"
59+
"import bw2data as bd\n",
60+
"import numpy as np\n",
61+
"from bw_temporalis import TemporalDistribution\n",
62+
"\n",
63+
"project_name = \"timex_example_dynamic_characterization\"\n",
64+
"if project_name in bd.projects:\n",
65+
" bd.projects.delete_project(project_name)\n",
66+
" bd.projects.purge_deleted_directories()\n",
67+
"\n",
68+
"bd.projects.set_current(project_name)\n",
69+
"\n",
70+
"bd.Database(\"temporalis-bio\").write(\n",
71+
" {\n",
72+
" (\"temporalis-bio\", \"CH4\"): { # only biosphere flow is CH4\n",
73+
" \"type\": \"emission\",\n",
74+
" \"name\": \"methane\",\n",
75+
" \"temporalis code\": \"ch4\",\n",
76+
" },\n",
77+
" }\n",
78+
")\n",
79+
"\n",
80+
"bd.Database(\"test\").write( # dummy system containing 1 activity\n",
81+
" {\n",
82+
" (\"test\", \"A\"): {\n",
83+
" \"name\": \"A\",\n",
84+
" \"location\": \"somewhere\",\n",
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" \"reference product\": \"a\",\n",
86+
" \"exchanges\": [\n",
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" {\n",
88+
" \"amount\": 1,\n",
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" \"type\": \"production\",\n",
90+
" \"input\": (\"test\", \"A\"),\n",
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" },\n",
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" {\n",
93+
" \"amount\": 1,\n",
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" \"type\": \"biosphere\",\n",
95+
" \"input\": (\"temporalis-bio\", \"CH4\"),\n",
96+
" \"temporal_distribution\": TemporalDistribution(\n",
97+
" date=np.array([10], dtype=\"timedelta64[Y]\"),\n",
98+
" amount=np.array([1]),\n",
99+
" ), # emission of CH4 10 years after execution of process A\n",
100+
" },\n",
101+
" ],\n",
102+
" },\n",
103+
" }\n",
104+
")\n",
105+
"\n",
106+
"bd.Method((\"GWP\", \"example\")).write(\n",
107+
" [\n",
108+
" ((\"temporalis-bio\", \"CH4\"), 29.8), # GWP100 from IPCC AR6\n",
109+
" ]\n",
110+
")"
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]
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},
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{

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