Merge pull request #730 from PyPSA/protected-datafiles
apply protected() to zenodo downloads; only retrieve monthly fuel/CO2…
This commit is contained in:
commit
624d240dea
14
.gitignore
vendored
14
.gitignore
vendored
@ -28,18 +28,18 @@ dconf
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/data/links_p_nom.csv
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/data/links_p_nom.csv
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/data/*totals.csv
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/data/*totals.csv
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/data/biomass*
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/data/biomass*
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/data/emobility/
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/data/bundle-sector/emobility/
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/data/eea*
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/data/bundle-sector/eea*
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/data/jrc*
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/data/bundle-sector/jrc*
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/data/heating/
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/data/heating/
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/data/eurostat*
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/data/bundle-sector/eurostat*
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/data/odyssee/
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/data/odyssee/
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/data/transport_data.csv
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/data/transport_data.csv
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/data/switzerland*
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/data/bundle-sector/switzerland*
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/data/.nfs*
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/data/.nfs*
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/data/Industrial_Database.csv
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/data/bundle-sector/Industrial_Database.csv
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/data/retro/tabula-calculator-calcsetbuilding.csv
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/data/retro/tabula-calculator-calcsetbuilding.csv
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/data/nuts*
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/data/bundle-sector/nuts*
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data/gas_network/scigrid-gas/
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data/gas_network/scigrid-gas/
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data/costs_*.csv
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data/costs_*.csv
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@ -16,6 +16,10 @@ Upcoming Release
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* The minimum capacity for renewable generators when using the myopic option has been fixed.
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* The minimum capacity for renewable generators when using the myopic option has been fixed.
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* Files downloaded from zenodo are now write-protected to prevent accidental re-download.
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* Files extracted from sector-coupled data bundle have been moved from ``data/`` to ``data/sector-bundle``.
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PyPSA-Eur 0.8.1 (27th July 2023)
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PyPSA-Eur 0.8.1 (27th July 2023)
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================================
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================================
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@ -350,7 +350,9 @@ rule add_electricity:
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hydro_capacities=ancient("data/bundle/hydro_capacities.csv"),
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hydro_capacities=ancient("data/bundle/hydro_capacities.csv"),
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geth_hydro_capacities="data/geth2015_hydro_capacities.csv",
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geth_hydro_capacities="data/geth2015_hydro_capacities.csv",
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unit_commitment="data/unit_commitment.csv",
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unit_commitment="data/unit_commitment.csv",
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fuel_price=RESOURCES + "monthly_fuel_price.csv",
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fuel_price=RESOURCES + "monthly_fuel_price.csv"
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if config["conventional"]["dynamic_fuel_price"]
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else [],
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load=RESOURCES + "load.csv",
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load=RESOURCES + "load.csv",
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nuts3_shapes=RESOURCES + "nuts3_shapes.geojson",
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nuts3_shapes=RESOURCES + "nuts3_shapes.geojson",
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output:
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output:
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@ -478,7 +480,7 @@ rule prepare_network:
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input:
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input:
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RESOURCES + "networks/elec_s{simpl}_{clusters}_ec.nc",
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RESOURCES + "networks/elec_s{simpl}_{clusters}_ec.nc",
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tech_costs=COSTS,
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tech_costs=COSTS,
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co2_price=RESOURCES + "co2_price.csv",
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co2_price=lambda w: RESOURCES + "co2_price.csv" if "Ept" in w.opts else [],
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output:
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output:
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RESOURCES + "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
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RESOURCES + "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
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log:
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log:
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@ -242,9 +242,9 @@ rule build_energy_totals:
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energy=config["energy"],
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energy=config["energy"],
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input:
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input:
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nuts3_shapes=RESOURCES + "nuts3_shapes.geojson",
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nuts3_shapes=RESOURCES + "nuts3_shapes.geojson",
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co2="data/eea/UNFCCC_v23.csv",
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co2="data/bundle-sector/eea/UNFCCC_v23.csv",
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swiss="data/switzerland-sfoe/switzerland-new_format.csv",
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swiss="data/bundle-sector/switzerland-sfoe/switzerland-new_format.csv",
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idees="data/jrc-idees-2015",
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idees="data/bundle-sector/jrc-idees-2015",
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district_heat_share="data/district_heat_share.csv",
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district_heat_share="data/district_heat_share.csv",
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eurostat=input_eurostat,
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eurostat=input_eurostat,
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output:
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output:
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@ -272,7 +272,7 @@ rule build_biomass_potentials:
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"https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx",
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"https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx",
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keep_local=True,
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keep_local=True,
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),
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),
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nuts2="data/nuts/NUTS_RG_10M_2013_4326_LEVL_2.geojson", # https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/#nuts21
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nuts2="data/bundle-sector/nuts/NUTS_RG_10M_2013_4326_LEVL_2.geojson", # https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/#nuts21
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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nuts3_population=ancient("data/bundle/nama_10r_3popgdp.tsv.gz"),
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nuts3_population=ancient("data/bundle/nama_10r_3popgdp.tsv.gz"),
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swiss_cantons=ancient("data/bundle/ch_cantons.csv"),
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swiss_cantons=ancient("data/bundle/ch_cantons.csv"),
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@ -366,7 +366,7 @@ if not config["sector"]["regional_co2_sequestration_potential"]["enable"]:
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rule build_salt_cavern_potentials:
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rule build_salt_cavern_potentials:
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input:
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input:
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salt_caverns="data/h2_salt_caverns_GWh_per_sqkm.geojson",
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salt_caverns="data/bundle-sector/h2_salt_caverns_GWh_per_sqkm.geojson",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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regions_offshore=RESOURCES + "regions_offshore_elec_s{simpl}_{clusters}.geojson",
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regions_offshore=RESOURCES + "regions_offshore_elec_s{simpl}_{clusters}.geojson",
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output:
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output:
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@ -388,7 +388,7 @@ rule build_ammonia_production:
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params:
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params:
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countries=config["countries"],
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countries=config["countries"],
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input:
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input:
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usgs="data/myb1-2017-nitro.xls",
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usgs="data/bundle-sector/myb1-2017-nitro.xls",
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output:
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output:
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ammonia_production=RESOURCES + "ammonia_production.csv",
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ammonia_production=RESOURCES + "ammonia_production.csv",
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threads: 1
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threads: 1
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@ -410,7 +410,7 @@ rule build_industry_sector_ratios:
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ammonia=config["sector"].get("ammonia", False),
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ammonia=config["sector"].get("ammonia", False),
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input:
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input:
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ammonia_production=RESOURCES + "ammonia_production.csv",
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ammonia_production=RESOURCES + "ammonia_production.csv",
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idees="data/jrc-idees-2015",
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idees="data/bundle-sector/jrc-idees-2015",
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output:
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output:
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industry_sector_ratios=RESOURCES + "industry_sector_ratios.csv",
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industry_sector_ratios=RESOURCES + "industry_sector_ratios.csv",
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threads: 1
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threads: 1
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@ -432,8 +432,8 @@ rule build_industrial_production_per_country:
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countries=config["countries"],
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countries=config["countries"],
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input:
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input:
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ammonia_production=RESOURCES + "ammonia_production.csv",
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ammonia_production=RESOURCES + "ammonia_production.csv",
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jrc="data/jrc-idees-2015",
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jrc="data/bundle-sector/jrc-idees-2015",
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eurostat="data/eurostat-energy_balances-may_2018_edition",
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eurostat="data/bundle-sector/eurostat-energy_balances-may_2018_edition",
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output:
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output:
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industrial_production_per_country=RESOURCES
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industrial_production_per_country=RESOURCES
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+ "industrial_production_per_country.csv",
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+ "industrial_production_per_country.csv",
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@ -483,7 +483,7 @@ rule build_industrial_distribution_key:
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input:
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input:
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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clustered_pop_layout=RESOURCES + "pop_layout_elec_s{simpl}_{clusters}.csv",
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clustered_pop_layout=RESOURCES + "pop_layout_elec_s{simpl}_{clusters}.csv",
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hotmaps_industrial_database="data/Industrial_Database.csv",
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hotmaps_industrial_database="data/bundle-sector/Industrial_Database.csv",
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output:
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output:
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industrial_distribution_key=RESOURCES
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industrial_distribution_key=RESOURCES
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+ "industrial_distribution_key_elec_s{simpl}_{clusters}.csv",
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+ "industrial_distribution_key_elec_s{simpl}_{clusters}.csv",
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@ -558,7 +558,7 @@ rule build_industrial_energy_demand_per_country_today:
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countries=config["countries"],
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countries=config["countries"],
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industry=config["industry"],
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industry=config["industry"],
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input:
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input:
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jrc="data/jrc-idees-2015",
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jrc="data/bundle-sector/jrc-idees-2015",
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ammonia_production=RESOURCES + "ammonia_production.csv",
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ammonia_production=RESOURCES + "ammonia_production.csv",
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industrial_production_per_country=RESOURCES
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industrial_production_per_country=RESOURCES
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+ "industrial_production_per_country.csv",
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+ "industrial_production_per_country.csv",
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@ -684,8 +684,8 @@ rule build_transport_demand:
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pop_weighted_energy_totals=RESOURCES
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pop_weighted_energy_totals=RESOURCES
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+ "pop_weighted_energy_totals_s{simpl}_{clusters}.csv",
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+ "pop_weighted_energy_totals_s{simpl}_{clusters}.csv",
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transport_data=RESOURCES + "transport_data.csv",
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transport_data=RESOURCES + "transport_data.csv",
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traffic_data_KFZ="data/emobility/KFZ__count",
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traffic_data_KFZ="data/bundle-sector/emobility/KFZ__count",
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traffic_data_Pkw="data/emobility/Pkw__count",
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traffic_data_Pkw="data/bundle-sector/emobility/Pkw__count",
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temp_air_total=RESOURCES + "temp_air_total_elec_s{simpl}_{clusters}.nc",
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temp_air_total=RESOURCES + "temp_air_total_elec_s{simpl}_{clusters}.nc",
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output:
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output:
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transport_demand=RESOURCES + "transport_demand_s{simpl}_{clusters}.csv",
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transport_demand=RESOURCES + "transport_demand_s{simpl}_{clusters}.csv",
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@ -734,7 +734,7 @@ rule prepare_sector_network:
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avail_profile=RESOURCES + "avail_profile_s{simpl}_{clusters}.csv",
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avail_profile=RESOURCES + "avail_profile_s{simpl}_{clusters}.csv",
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dsm_profile=RESOURCES + "dsm_profile_s{simpl}_{clusters}.csv",
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dsm_profile=RESOURCES + "dsm_profile_s{simpl}_{clusters}.csv",
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co2_totals_name=RESOURCES + "co2_totals.csv",
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co2_totals_name=RESOURCES + "co2_totals.csv",
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co2="data/eea/UNFCCC_v23.csv",
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co2="data/bundle-sector/eea/UNFCCC_v23.csv",
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biomass_potentials=RESOURCES + "biomass_potentials_s{simpl}_{clusters}.csv",
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biomass_potentials=RESOURCES + "biomass_potentials_s{simpl}_{clusters}.csv",
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heat_profile="data/heat_load_profile_BDEW.csv",
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heat_profile="data/heat_load_profile_BDEW.csv",
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costs="data/costs_{}.csv".format(config["costs"]["year"])
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costs="data/costs_{}.csv".format(config["costs"]["year"])
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@ -42,7 +42,7 @@ def has_internet_access(url="www.zenodo.org") -> bool:
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def input_eurostat(w):
|
def input_eurostat(w):
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# 2016 includes BA, 2017 does not
|
# 2016 includes BA, 2017 does not
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report_year = config["energy"]["eurostat_report_year"]
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report_year = config["energy"]["eurostat_report_year"]
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return f"data/eurostat-energy_balances-june_{report_year}_edition"
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return f"data/bundle-sector/eurostat-energy_balances-june_{report_year}_edition"
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def solved_previous_horizon(wildcards):
|
def solved_previous_horizon(wildcards):
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@ -115,7 +115,7 @@ rule plot_summary:
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energy=RESULTS + "csvs/energy.csv",
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energy=RESULTS + "csvs/energy.csv",
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balances=RESULTS + "csvs/supply_energy.csv",
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balances=RESULTS + "csvs/supply_energy.csv",
|
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eurostat=input_eurostat,
|
eurostat=input_eurostat,
|
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co2="data/eea/UNFCCC_v23.csv",
|
co2="data/bundle-sector/eea/UNFCCC_v23.csv",
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output:
|
output:
|
||||||
costs=RESULTS + "graphs/costs.pdf",
|
costs=RESULTS + "graphs/costs.pdf",
|
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energy=RESULTS + "graphs/energy.pdf",
|
energy=RESULTS + "graphs/energy.pdf",
|
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|
@ -27,7 +27,7 @@ if config["enable"]["retrieve"] and config["enable"].get("retrieve_databundle",
|
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|
|
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rule retrieve_databundle:
|
rule retrieve_databundle:
|
||||||
output:
|
output:
|
||||||
expand("data/bundle/{file}", file=datafiles),
|
protected(expand("data/bundle/{file}", file=datafiles)),
|
||||||
log:
|
log:
|
||||||
LOGS + "retrieve_databundle.log",
|
LOGS + "retrieve_databundle.log",
|
||||||
resources:
|
resources:
|
||||||
@ -92,7 +92,7 @@ if config["enable"]["retrieve"] and config["enable"].get(
|
|||||||
static=True,
|
static=True,
|
||||||
),
|
),
|
||||||
output:
|
output:
|
||||||
RESOURCES + "natura.tiff",
|
protected(RESOURCES + "natura.tiff"),
|
||||||
log:
|
log:
|
||||||
LOGS + "retrieve_natura_raster.log",
|
LOGS + "retrieve_natura_raster.log",
|
||||||
resources:
|
resources:
|
||||||
@ -106,22 +106,30 @@ if config["enable"]["retrieve"] and config["enable"].get(
|
|||||||
"retrieve_sector_databundle", True
|
"retrieve_sector_databundle", True
|
||||||
):
|
):
|
||||||
datafiles = [
|
datafiles = [
|
||||||
"data/eea/UNFCCC_v23.csv",
|
"eea/UNFCCC_v23.csv",
|
||||||
"data/switzerland-sfoe/switzerland-new_format.csv",
|
"switzerland-sfoe/switzerland-new_format.csv",
|
||||||
"data/nuts/NUTS_RG_10M_2013_4326_LEVL_2.geojson",
|
"nuts/NUTS_RG_10M_2013_4326_LEVL_2.geojson",
|
||||||
"data/myb1-2017-nitro.xls",
|
"myb1-2017-nitro.xls",
|
||||||
"data/Industrial_Database.csv",
|
"Industrial_Database.csv",
|
||||||
"data/emobility/KFZ__count",
|
"emobility/KFZ__count",
|
||||||
"data/emobility/Pkw__count",
|
"emobility/Pkw__count",
|
||||||
"data/h2_salt_caverns_GWh_per_sqkm.geojson",
|
"h2_salt_caverns_GWh_per_sqkm.geojson",
|
||||||
directory("data/eurostat-energy_balances-june_2016_edition"),
|
]
|
||||||
directory("data/eurostat-energy_balances-may_2018_edition"),
|
|
||||||
directory("data/jrc-idees-2015"),
|
datafolders = [
|
||||||
|
protected(
|
||||||
|
directory("data/bundle-sector/eurostat-energy_balances-june_2016_edition")
|
||||||
|
),
|
||||||
|
protected(
|
||||||
|
directory("data/bundle-sector/eurostat-energy_balances-may_2018_edition")
|
||||||
|
),
|
||||||
|
protected(directory("data/bundle-sector/jrc-idees-2015")),
|
||||||
]
|
]
|
||||||
|
|
||||||
rule retrieve_sector_databundle:
|
rule retrieve_sector_databundle:
|
||||||
output:
|
output:
|
||||||
*datafiles,
|
protected(expand("data/bundle-sector/{files}", files=datafiles)),
|
||||||
|
*datafolders,
|
||||||
log:
|
log:
|
||||||
LOGS + "retrieve_sector_databundle.log",
|
LOGS + "retrieve_sector_databundle.log",
|
||||||
retries: 2
|
retries: 2
|
||||||
@ -143,7 +151,9 @@ if config["enable"]["retrieve"] and (
|
|||||||
|
|
||||||
rule retrieve_gas_infrastructure_data:
|
rule retrieve_gas_infrastructure_data:
|
||||||
output:
|
output:
|
||||||
expand("data/gas_network/scigrid-gas/data/{files}", files=datafiles),
|
protected(
|
||||||
|
expand("data/gas_network/scigrid-gas/data/{files}", files=datafiles)
|
||||||
|
),
|
||||||
log:
|
log:
|
||||||
LOGS + "retrieve_gas_infrastructure_data.log",
|
LOGS + "retrieve_gas_infrastructure_data.log",
|
||||||
retries: 2
|
retries: 2
|
||||||
@ -187,7 +197,7 @@ if config["enable"]["retrieve"]:
|
|||||||
static=True,
|
static=True,
|
||||||
),
|
),
|
||||||
output:
|
output:
|
||||||
"data/shipdensity_global.zip",
|
protected("data/shipdensity_global.zip"),
|
||||||
log:
|
log:
|
||||||
LOGS + "retrieve_ship_raster.log",
|
LOGS + "retrieve_ship_raster.log",
|
||||||
resources:
|
resources:
|
||||||
|
@ -447,8 +447,11 @@ def add_heating_capacities_installed_before_baseyear(
|
|||||||
)
|
)
|
||||||
# if rural heating demand for one of the nodes doesn't exist,
|
# if rural heating demand for one of the nodes doesn't exist,
|
||||||
# then columns were dropped before and heating demand share should be 0.0
|
# then columns were dropped before and heating demand share should be 0.0
|
||||||
if all(f"{node} {service} rural heat" in p_set_sum.index for service in ["residential", "services"])
|
if all(
|
||||||
else 0.
|
f"{node} {service} rural heat" in p_set_sum.index
|
||||||
|
for service in ["residential", "services"]
|
||||||
|
)
|
||||||
|
else 0.0
|
||||||
for node in nodal_df.index
|
for node in nodal_df.index
|
||||||
],
|
],
|
||||||
index=nodal_df.index,
|
index=nodal_df.index,
|
||||||
|
@ -13,13 +13,14 @@ logger = logging.getLogger(__name__)
|
|||||||
import uuid
|
import uuid
|
||||||
from itertools import product
|
from itertools import product
|
||||||
|
|
||||||
|
import country_converter as coco
|
||||||
import geopandas as gpd
|
import geopandas as gpd
|
||||||
import pandas as pd
|
import pandas as pd
|
||||||
from packaging.version import Version, parse
|
from packaging.version import Version, parse
|
||||||
|
|
||||||
import country_converter as coco
|
|
||||||
cc = coco.CountryConverter()
|
cc = coco.CountryConverter()
|
||||||
|
|
||||||
|
|
||||||
def locate_missing_industrial_sites(df):
|
def locate_missing_industrial_sites(df):
|
||||||
"""
|
"""
|
||||||
Locate industrial sites without valid locations based on city and
|
Locate industrial sites without valid locations based on city and
|
||||||
|
@ -354,7 +354,7 @@ def historical_emissions(countries):
|
|||||||
"""
|
"""
|
||||||
# https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16
|
# https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16
|
||||||
# downloaded 201228 (modified by EEA last on 201221)
|
# downloaded 201228 (modified by EEA last on 201221)
|
||||||
fn = "data/eea/UNFCCC_v23.csv"
|
fn = "data/bundle-sector/eea/UNFCCC_v23.csv"
|
||||||
df = pd.read_csv(fn, encoding="latin-1")
|
df = pd.read_csv(fn, encoding="latin-1")
|
||||||
df.loc[df["Year"] == "1985-1987", "Year"] = 1986
|
df.loc[df["Year"] == "1985-1987", "Year"] = 1986
|
||||||
df["Year"] = df["Year"].astype(int)
|
df["Year"] = df["Year"].astype(int)
|
||||||
|
Loading…
Reference in New Issue
Block a user