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doc/data.csv
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@ -1,26 +1,28 @@
description,file/folder,licence,source description,file/folder,licence,source,,
JRC IDEES database,jrc-idees-2015/,CC BY 4.0,https://ec.europa.eu/jrc/en/potencia/jrc-idees JRC IDEES database,jrc-idees-2015/,CC BY 4.0,https://ec.europa.eu/jrc/en/potencia/jrc-idees,,
urban/rural fraction,urban_percent.csv,unknown,unknown urban/rural fraction,urban_percent.csv,unknown,unknown,,
JRC biomass potentials,biomass/,unknown,https://doi.org/10.2790/39014 JRC biomass potentials,biomass/,unknown,https://doi.org/10.2790/39014,,
EEA emission statistics,eea/UNFCCC_v23.csv,EEA standard re-use policy,https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16 EEA emission statistics,eea/UNFCCC_v23.csv,EEA standard re-use policy,https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16,,
Eurostat Energy Balances,eurostat-energy_balances-*/,Eurostat,https://ec.europa.eu/eurostat/web/energy/data/energy-balances Eurostat Energy Balances,eurostat-energy_balances-*/,Eurostat,https://ec.europa.eu/eurostat/web/energy/data/energy-balances,,
Swiss energy statistics from Swiss Federal Office of Energy,switzerland-sfoe/,unknown,http://www.bfe.admin.ch/themen/00526/00541/00542/02167/index.html?dossier_id=02169 Swiss energy statistics from Swiss Federal Office of Energy,switzerland-sfoe/,unknown,http://www.bfe.admin.ch/themen/00526/00541/00542/02167/index.html?dossier_id=02169,,
BASt emobility statistics,emobility/,unknown,http://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/Stundenwerte.html?nn=626916 BASt emobility statistics,emobility/,unknown,http://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/Stundenwerte.html?nn=626916,,
timezone mappings,timezone_mappings.csv,CC BY 4.0,Tom Brown timezone mappings,timezone_mappings.csv,CC BY 4.0,Tom Brown,,
BDEW heating profile,heat_load_profile_BDEW.csv,unknown,https://github.com/oemof/demandlib BDEW heating profile,heat_load_profile_BDEW.csv,unknown,https://github.com/oemof/demandlib,,
heating profiles for Aarhus,heat_load_profile_DK_AdamJensen.csv,unknown,Adam Jensen MA thesis at Aarhus University heating profiles for Aarhus,heat_load_profile_DK_AdamJensen.csv,unknown,Adam Jensen MA thesis at Aarhus University,,
George Lavidas wind/wave costs,WindWaveWEC_GLTB.xlsx,unknown,George Lavidas George Lavidas wind/wave costs,WindWaveWEC_GLTB.xlsx,unknown,George Lavidas,,
country codes,Country_codes.csv,CC BY 4.0,Marta Victoria country codes,Country_codes.csv,CC BY 4.0,Marta Victoria,,
co2 budgets,co2_budget.csv,CC BY 4.0,https://arxiv.org/abs/2004.11009 co2 budgets,co2_budget.csv,CC BY 4.0,https://arxiv.org/abs/2004.11009,,
existing heating potentials,existing_infrastructure/existing_heating_raw.csv,unknown,https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1 existing heating potentials,existing_infrastructure/existing_heating_raw.csv,unknown,https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1,,
IRENA existing VRE capacities,existing_infrastructure/{solar|onwind|offwind}_capcity_IRENA.csv,unknown,https://www.irena.org/Statistics/Download-Data IRENA existing VRE capacities,existing_infrastructure/{solar,onwind,offwind}_capcity_IRENA.csv,unknown,https://www.irena.org/Statistics/Download-Data
USGS ammonia production,myb1-2017-nitro.xls,unknown,https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information USGS ammonia production,myb1-2017-nitro.xls,unknown,https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information,,
hydrogen salt cavern potentials,hydrogen_salt_cavern_potentials.csv,CC BY 4.0,https://doi.org/10.1016/j.ijhydene.2019.12.161 hydrogen salt cavern potentials,hydrogen_salt_cavern_potentials.csv,CC BY 4.0,https://doi.org/10.1016/j.ijhydene.2019.12.161,,
hotmaps industrial site database,Industrial_Database.csv,CC BY 4.0,https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database hotmaps industrial site database,Industrial_Database.csv,CC BY 4.0,https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database,,
Hotmaps building stock data,data_building_stock.csv,CC BY 4.0,https://gitlab.com/hotmaps/building-stock Hotmaps building stock data,data_building_stock.csv,CC BY 4.0,https://gitlab.com/hotmaps/building-stock,,
U-values Poland,u_values_poland.csv,unknown,https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory U-values Poland,u_values_poland.csv,unknown,https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory,,
Floor area missing in hotmaps building stock data,floor_area_missing.csv,unknown,https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory Floor area missing in hotmaps building stock data,floor_area_missing.csv,unknown,https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory,,
Comparative level investment,comparative_level_investment.csv,Eurostat,https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment Comparative level investment,comparative_level_investment.csv,Eurostat,https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment,,
Electricity taxes,electricity_taxes_eu.csv,Eurostat,https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nrg_pc_204&lang=en Electricity taxes,electricity_taxes_eu.csv,Eurostat,https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nrg_pc_204&lang=en,,
Building topologies and corresponding standard values,tabula-calculator-calcsetbuilding.csv,unknown,https://episcope.eu/fileadmin/tabula/public/calc/tabula-calculator.xlsx Building topologies and corresponding standard values,tabula-calculator-calcsetbuilding.csv,unknown,https://episcope.eu/fileadmin/tabula/public/calc/tabula-calculator.xlsx,,
Retrofitting thermal envelope costs for Germany,retro_cost_germany.csv,unkown,https://www.iwu.de/forschung/handlungslogiken/kosten-energierelevanter-bau-und-anlagenteile-bei-modernisierung/ Retrofitting thermal envelope costs for Germany,retro_cost_germany.csv,unkown,https://www.iwu.de/forschung/handlungslogiken/kosten-energierelevanter-bau-und-anlagenteile-bei-modernisierung/,,
District heating most countries,jrc-idees-2015/,CC BY 4.0,https://ec.europa.eu/jrc/en/potencia/jrc-idees,,
District heating missing countries,district_heat_share.csv,unkown,https://www.euroheat.org/knowledge-hub/country-profiles,,

1 description file/folder licence source
2 JRC IDEES database jrc-idees-2015/ CC BY 4.0 https://ec.europa.eu/jrc/en/potencia/jrc-idees
3 urban/rural fraction urban_percent.csv unknown unknown
4 JRC biomass potentials biomass/ unknown https://doi.org/10.2790/39014
5 EEA emission statistics eea/UNFCCC_v23.csv EEA standard re-use policy https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16
6 Eurostat Energy Balances eurostat-energy_balances-*/ Eurostat https://ec.europa.eu/eurostat/web/energy/data/energy-balances
7 Swiss energy statistics from Swiss Federal Office of Energy switzerland-sfoe/ unknown http://www.bfe.admin.ch/themen/00526/00541/00542/02167/index.html?dossier_id=02169
8 BASt emobility statistics emobility/ unknown http://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/Stundenwerte.html?nn=626916
9 timezone mappings timezone_mappings.csv CC BY 4.0 Tom Brown
10 BDEW heating profile heat_load_profile_BDEW.csv unknown https://github.com/oemof/demandlib
11 heating profiles for Aarhus heat_load_profile_DK_AdamJensen.csv unknown Adam Jensen MA thesis at Aarhus University
12 George Lavidas wind/wave costs WindWaveWEC_GLTB.xlsx unknown George Lavidas
13 country codes Country_codes.csv CC BY 4.0 Marta Victoria
14 co2 budgets co2_budget.csv CC BY 4.0 https://arxiv.org/abs/2004.11009
15 existing heating potentials existing_infrastructure/existing_heating_raw.csv unknown https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1
16 IRENA existing VRE capacities existing_infrastructure/{solar|onwind|offwind}_capcity_IRENA.csv existing_infrastructure/{solar unknown onwind https://www.irena.org/Statistics/Download-Data offwind}_capcity_IRENA.csv unknown https://www.irena.org/Statistics/Download-Data
17 USGS ammonia production myb1-2017-nitro.xls unknown https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information
18 hydrogen salt cavern potentials hydrogen_salt_cavern_potentials.csv CC BY 4.0 https://doi.org/10.1016/j.ijhydene.2019.12.161
19 hotmaps industrial site database Industrial_Database.csv CC BY 4.0 https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database
20 Hotmaps building stock data data_building_stock.csv CC BY 4.0 https://gitlab.com/hotmaps/building-stock
21 U-values Poland u_values_poland.csv unknown https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory
22 Floor area missing in hotmaps building stock data floor_area_missing.csv unknown https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory
23 Comparative level investment comparative_level_investment.csv Eurostat https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment
24 Electricity taxes electricity_taxes_eu.csv Eurostat https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nrg_pc_204&lang=en
25 Building topologies and corresponding standard values tabula-calculator-calcsetbuilding.csv unknown https://episcope.eu/fileadmin/tabula/public/calc/tabula-calculator.xlsx
26 Retrofitting thermal envelope costs for Germany retro_cost_germany.csv unkown https://www.iwu.de/forschung/handlungslogiken/kosten-energierelevanter-bau-und-anlagenteile-bei-modernisierung/
27 District heating most countries jrc-idees-2015/ CC BY 4.0 https://ec.europa.eu/jrc/en/potencia/jrc-idees
28 District heating missing countries district_heat_share.csv unkown https://www.euroheat.org/knowledge-hub/country-profiles

19
scripts/prepare_sector_network.py
View File

@ -481,7 +481,7 @@ def add_co2_network(n, costs):
def add_dac(n, costs): def add_dac(n, costs):
heat_carriers = ["urban central heat"] heat_carriers = ["urban central heat", "services urban decentral heat"]
heat_buses = n.buses.index[n.buses.carrier.isin(heat_carriers)] heat_buses = n.buses.index[n.buses.carrier.isin(heat_carriers)]
locations = n.buses.location[heat_buses] locations = n.buses.location[heat_buses]
@ -489,8 +489,7 @@ def add_dac(n, costs):
efficiency3 = -(costs.at['direct air capture', 'heat-input'] - costs.at['direct air capture', 'compression-heat-output']) efficiency3 = -(costs.at['direct air capture', 'heat-input'] - costs.at['direct air capture', 'compression-heat-output'])
n.madd("Link", n.madd("Link",
locations, heat_buses.str.replace(" heat", " DAC"),
suffix=" DAC",
bus0="co2 atmosphere", bus0="co2 atmosphere",
bus1=spatial.co2.df.loc[locations, "nodes"].values, bus1=spatial.co2.df.loc[locations, "nodes"].values,
bus2=locations.values, bus2=locations.values,
@ -1383,7 +1382,7 @@ def add_heat(n, costs):
factor = urban_fraction[nodes[name]] - \ factor = urban_fraction[nodes[name]] - \
dist_fraction[nodes[name]] dist_fraction[nodes[name]]
else: else:
factor = None raise NotImplementedError(f" {name} not in " f"heat systems: {heat_systems}")
if sector in name: if sector in name:
heat_load = heat_demand[[sector + " water",sector + " space"]].groupby(level=1,axis=1).sum()[nodes[name]].multiply(factor) heat_load = heat_demand[[sector + " water",sector + " space"]].groupby(level=1,axis=1).sum()[nodes[name]].multiply(factor)
@ -1670,16 +1669,14 @@ def create_nodes_for_heat_sector():
# urban are areas with high heating density # urban are areas with high heating density
# urban can be split into district heating (central) and individual heating (decentral) # urban can be split into district heating (central) and individual heating (decentral)
ct_urban = pop_layout.urban.groupby(pop_layout["ct"]).sum() ct_urban = pop_layout.urban.groupby(pop_layout.ct).sum()
# distribution of urban population within a country # distribution of urban population within a country
pop_layout["urban_ct_fraction"] = pop_layout["urban"] / \ pop_layout["urban_ct_fraction"] = pop_layout.urban / pop_layout.ct.map(ct_urban.get)
pop_layout["ct"].map(ct_urban.get)
sectors = ["residential", "services"] sectors = ["residential", "services"]
nodes = {} nodes = {}
urban_fraction = pop_layout["urban"] / \ urban_fraction = pop_layout.urban / pop_layout[["rural", "urban"]].sum(axis=1)
(pop_layout[["urban", "rural"]].sum(axis=1))
for sector in sectors: for sector in sectors:
nodes[sector + " rural"] = pop_layout.index nodes[sector + " rural"] = pop_layout.index
@ -2239,7 +2236,7 @@ if __name__ == "__main__":
clusters="37", clusters="37",
lv=1.0, lv=1.0,
sector_opts='Co2L0-168H-T-H-B-I-solar3-dist1', sector_opts='Co2L0-168H-T-H-B-I-solar3-dist1',
planning_horizons="2030", planning_horizons="2020",
) )
logging.basicConfig(level=snakemake.config['logging_level']) logging.basicConfig(level=snakemake.config['logging_level'])
@ -2254,7 +2251,7 @@ if __name__ == "__main__":
n = pypsa.Network(snakemake.input.network, override_component_attrs=overrides) n = pypsa.Network(snakemake.input.network, override_component_attrs=overrides)
pop_layout = pd.read_csv(snakemake.input.clustered_pop_layout, index_col=0) pop_layout = pd.read_csv(snakemake.input.clustered_pop_layout, index_col=0)
Nyears = n.snapshot_weightings.sum() / 8760 Nyears = n.snapshot_weightings.generators.sum() / 8760
costs = prepare_costs(snakemake.input.costs, costs = prepare_costs(snakemake.input.costs,
snakemake.config['costs']['USD2013_to_EUR2013'], snakemake.config['costs']['USD2013_to_EUR2013'],