config_dash3.yaml

# SPDX-FileCopyrightText: 2023-2024 Iegor Riepin, Tom Brown
#
# SPDX-License-Identifier: MIT

# Retrieve technology data <version> for <year>
# Source https://github.com/PyPSA/technology-data
retrieve_cost_data: True
technology_data:
  year: 2030
  version: v0.6.2

###################
# Scenario controls

run: manuscript-dashboard3

#wildcards
scenario:
  policy:  ["ref"] # "ref", "res100", "cfe90", "cfe95", "cfe98",
  palette: [
            # "p1", # onwind + solar + battery
            # "p2", # onwind + solar + battery + LDES (here: iron-air battery)
            # "p3", # onwind + solar + battery + Allam cycle turbine with CCS
            "p4", # onwind + solar + battery + LDES + Allam cycle turbine with CCS
            ]
  zone: [
        "DE" #37-node network of ENTSO-E area | possible toy zones: "IE", "DE", "IEDK", "DKDE"
        ]
  participation: [
                '100',
                '75',
                '50',
                '25',
                ] # participation share of CI load per bidding zone that commit to voluntary CFE procurement [percentage]
  year: [
          #"2025",
           "2030"
         ] # controls both the brownfield fleet and tech costs projection

# CI consumer settings
ci:
  datacenters: {"DE1 0": "Germany"} # {"PT1 0": "Portugal"}
  profile_shape: "baseload" #"baseload", "datacenter", "industry"
  #load: 100. # nominal load in MW -> now scaled to match participation share
  res_techs: ["onwind","solar"]
  excess_share: 0.  # share of excess CI generation that can be sold to the grid [percentage]
  flexibility: 0. # possible deviation of requested load from nominal level [percentage of nominal load]
  spatial_shifting: False #turns on/off spatial flexibiilty  (aka virtual links)
  temporal_shifting: False #turns on/off temporal flexibiilty (aka DSM)

# learning settings
### a workaround to keep same wildcards in all the scenarios
### if policy == "ref", CI node is not added, so we can use <participation>*10 as reduction steps of the learning coefficient
learning_coef: 1 # cost reduction coefficient for advanced tech in 2030
system_res_constraint: False #turns on/off constraint on RES expansion following NECP targets with *equality* sign


###################
# Time-series management

time_sampling: "3H" # one of ["1H", "3H"]
plot_timeseries: False


###################
# Fixed settings

node_suffixes_to_keep: ["H2","battery"] #"low voltage","home battery"]
carrier_to_keep: [ #generators
                  "offwind","offwind-ac","offwind-dc","solar", "onwind","ror", #"solar rooftop",
                  #storage units
                  "PHS","hydro",
                  #lines, links
                  "AC", "DC",
                  #links
                  "nuclear", "uranium", "gas","OCGT","CCGT","oil", "lignite", "coal",
                  # "H2 Electrolysis","H2 Fuel Cell","H2 pipeline",
                  "battery charger","battery discharger", #"home battery charger","home battery discharger",
                  "urban central solid biomass CHP", #"electricity distribution grid",
                  #Stores
                  # "H2 Store",
                  "co2","co2 stored","battery", "solid biomass", #"home battery"
                  #Loads ("industry electricity" is included)
                  "electricity"
                    ]
additional_nodes: ["EU oil","EU gas", "EU lignite", "EU coal", "EU uranium", "EU solid biomass", "co2 atmosphere","co2 stored"]


costs:
  lifetime: 25 #default lifetime
  discountrate: 0.07  # From a Lion Hirth paper, also reflects average of Noothout et al 2016
  USD2013_to_EUR2013: 0.7532 # [EUR/USD] ECB: https://www.ecb.europa.eu/stats/exchange/eurofxref/html/eurofxref-graph-usd.en.html # noqa: E501
  USD2021_to_EUR2021: 0.8460 # [EUR/USD] ECB
  USD2023_to_EUR2023: 0.9248 # [EUR/USD] ECB
  adv_nuclear_overnight: 7138 # 2021$/kW CAPEX https://www.eia.gov/outlooks/aeo/ 2022
  price_green_hydrogen: 3 #EUR/kg
  price_lignite: 6.5 # EUR/MWhth from TYNDP2020 -> default is 2.9
  price_coal: 8.9 # EUR/MWhth from TYNDP2020 -> default is 8.15
  price_gas: 35 # EUR/MWhth -> https://energy.ec.europa.eu/system/files/2022-05/SWD_2022_230_1_EN_autre_document_travail_service_part1_v3.pdf
  adv_geo_overnight_2025: 10000 # 2022$/kW CAPEX
  adv_geo_overnight_2030: 10000  # 2022$/kW CAPEX
  allam_ccs_overnight_2025: 2760 # 2022$/kW CAPEX, 2300*1.2
  allam_ccs_overnight_2030: 2600 # 2022$/kW CAPEX, 2300*1.2 (!)
  ironair_capacity_2025: 1700 # 2023$/kW CAPEX (+ 500 $/kW for energy part = 2200 $/kW)
  ironair_energy_2025: 5 # 2023$/kWh energy (5 $/kWh * 100h = 500 $/kW)
  ironair_capacity_2030: 1700 # dummy -> value is endogenised via learning curve
  ironair_energy_2030: 5 # dummy -> value is endogenised via learning curve
  ironair_duration: 100 # P/E ratio of iron-air battery