using python algorithm to edit rules and script
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@ -19,6 +19,10 @@ if config["enable"].get("prepare_links_p_nom", False):
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rule build_electricity_demand:
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params:
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snapshots=config["snapshots"],
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countries=config["countries"],
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load=config["load"],
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input:
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ancient("data/load_raw.csv"),
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output:
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@ -34,6 +38,9 @@ rule build_electricity_demand:
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rule build_powerplants:
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params:
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electricity=config["electricity"],
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countries=config["countries"],
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input:
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base_network=RESOURCES + "networks/base.nc",
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custom_powerplants="data/custom_powerplants.csv",
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@ -79,6 +86,8 @@ rule base_network:
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rule build_shapes:
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params:
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countries=config["countries"],
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input:
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naturalearth=ancient("data/bundle/naturalearth/ne_10m_admin_0_countries.shp"),
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eez=ancient("data/bundle/eez/World_EEZ_v8_2014.shp"),
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@ -104,6 +113,8 @@ rule build_shapes:
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rule build_bus_regions:
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params:
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countries=config["countries"],
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input:
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country_shapes=RESOURCES + "country_shapes.geojson",
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offshore_shapes=RESOURCES + "offshore_shapes.geojson",
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@ -125,6 +136,9 @@ rule build_bus_regions:
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if config["enable"].get("build_cutout", False):
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rule build_cutout:
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params:
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snapshots=config["snapshots"],
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atlite=config["atlite"],
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input:
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regions_onshore=RESOURCES + "regions_onshore.geojson",
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regions_offshore=RESOURCES + "regions_offshore.geojson",
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@ -186,6 +200,8 @@ rule build_ship_raster:
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rule build_renewable_profiles:
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params:
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renewable=config["renewable"],
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input:
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base_network=RESOURCES + "networks/base.nc",
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corine=ancient("data/bundle/corine/g250_clc06_V18_5.tif"),
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@ -235,6 +251,9 @@ rule build_renewable_profiles:
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rule build_hydro_profile:
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params:
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countries=config["countries"],
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renewable=config["renewable"],
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input:
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country_shapes=RESOURCES + "country_shapes.geojson",
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eia_hydro_generation="data/eia_hydro_annual_generation.csv",
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@ -252,6 +271,13 @@ rule build_hydro_profile:
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rule add_electricity:
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params:
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lines=config["lines"],
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load=config["load"],
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countries=config["countries"],
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renewable=config["renewable"],
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electricity=config["electricity"],
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costs=config["costs"],
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input:
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**{
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f"profile_{tech}": RESOURCES + f"profile_{tech}.nc"
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@ -273,14 +299,6 @@ rule add_electricity:
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nuts3_shapes=RESOURCES + "nuts3_shapes.geojson",
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output:
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RESOURCES + "networks/elec.nc",
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params:
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costs=snakemake.config["costs"],
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electricity=snakemake.config["electricity"],
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renewable=snakemake.config["renewable"],
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conventional=snakemake.config.get("conventional", {}),
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countries=snakemake.config["countries"],
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scaling_factor=snakemake.config["load"]["scaling_factor"],
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length_factor=snakemake.config["lines"]["length_factor"],
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log:
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LOGS + "add_electricity.log",
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benchmark:
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@ -295,6 +313,10 @@ rule add_electricity:
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rule simplify_network:
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params:
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clustering=config["clustering"],
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electricity=config["electricity"],
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costs=config["costs"],
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input:
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network=RESOURCES + "networks/elec.nc",
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tech_costs=COSTS,
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@ -320,6 +342,14 @@ rule simplify_network:
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rule cluster_network:
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params:
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solving=config["solving"],
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electricity=config["electricity"],
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costs=config["costs"],
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lines=config["lines"],
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renewable=config["renewable"],
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clustering=config["clustering"],
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enable=config["enable"],
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input:
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network=RESOURCES + "networks/elec_s{simpl}.nc",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}.geojson",
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@ -351,6 +381,9 @@ rule cluster_network:
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rule add_extra_components:
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params:
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costs=config["costs"],
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electricity=config["electricity"],
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input:
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network=RESOURCES + "networks/elec_s{simpl}_{clusters}.nc",
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tech_costs=COSTS,
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@ -370,6 +403,12 @@ rule add_extra_components:
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rule prepare_network:
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params:
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links=config["links"],
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solving=config["solving"],
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lines=config["lines"],
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electricity=config["electricity"],
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costs=config["costs"],
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input:
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RESOURCES + "networks/elec_s{simpl}_{clusters}_ec.nc",
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tech_costs=COSTS,
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@ -4,6 +4,8 @@
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rule build_population_layouts:
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params:
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logging=config["logging"],
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input:
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nuts3_shapes=RESOURCES + "nuts3_shapes.geojson",
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urban_percent="data/urban_percent.csv",
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@ -70,6 +72,8 @@ rule build_simplified_population_layouts:
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if config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]:
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rule build_gas_network:
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params:
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logging=config["logging"],
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input:
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gas_network="data/gas_network/scigrid-gas/data/IGGIELGN_PipeSegments.geojson",
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output:
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@ -84,6 +88,8 @@ if config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]:
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"../scripts/build_gas_network.py"
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rule build_gas_input_locations:
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params:
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logging=config["logging"],
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input:
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lng=HTTP.remote(
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"https://globalenergymonitor.org/wp-content/uploads/2022/09/Europe-Gas-Tracker-August-2022.xlsx",
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@ -110,6 +116,8 @@ if config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]:
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"../scripts/build_gas_input_locations.py"
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rule cluster_gas_network:
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params:
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logging=config["logging"],
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input:
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cleaned_gas_network=RESOURCES + "gas_network.csv",
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regions_onshore=RESOURCES
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@ -140,6 +148,8 @@ if not (config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]):
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rule build_heat_demands:
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params:
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snapshots=config["snapshots"],
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input:
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pop_layout=RESOURCES + "pop_layout_{scope}.nc",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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@ -160,6 +170,8 @@ rule build_heat_demands:
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rule build_temperature_profiles:
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params:
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snapshots=config["snapshots"],
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input:
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pop_layout=RESOURCES + "pop_layout_{scope}.nc",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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@ -181,6 +193,8 @@ rule build_temperature_profiles:
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rule build_cop_profiles:
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params:
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sector=config["sector"],
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input:
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temp_soil_total=RESOURCES + "temp_soil_total_elec_s{simpl}_{clusters}.nc",
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temp_soil_rural=RESOURCES + "temp_soil_rural_elec_s{simpl}_{clusters}.nc",
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@ -208,6 +222,9 @@ rule build_cop_profiles:
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rule build_solar_thermal_profiles:
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params:
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snapshots=config["snapshots"],
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solar_thermal=config["solar_thermal"],
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input:
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pop_layout=RESOURCES + "pop_layout_{scope}.nc",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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@ -228,6 +245,11 @@ rule build_solar_thermal_profiles:
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rule build_energy_totals:
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params:
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run=config["run"],
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countries=config["countries"],
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energy=config["energy"],
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logging=config["logging"],
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input:
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nuts3_shapes=RESOURCES + "nuts3_shapes.geojson",
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co2="data/eea/UNFCCC_v23.csv",
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@ -253,6 +275,8 @@ rule build_energy_totals:
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rule build_biomass_potentials:
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params:
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biomass=config["biomass"],
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input:
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enspreso_biomass=HTTP.remote(
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"https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx",
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@ -315,6 +339,8 @@ if not config["sector"]["biomass_transport"]:
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if config["sector"]["regional_co2_sequestration_potential"]["enable"]:
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rule build_sequestration_potentials:
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params:
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sector=config["sector"],
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input:
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sequestration_potential=HTTP.remote(
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"https://raw.githubusercontent.com/ericzhou571/Co2Storage/main/resources/complete_map_2020_unit_Mt.geojson",
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@ -368,6 +394,8 @@ rule build_salt_cavern_potentials:
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rule build_ammonia_production:
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params:
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countries=config["countries"],
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input:
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usgs="data/myb1-2017-nitro.xls",
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output:
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@ -386,6 +414,9 @@ rule build_ammonia_production:
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rule build_industry_sector_ratios:
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params:
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industry=config["industry"],
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sector=config["sector"],
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input:
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ammonia_production=RESOURCES + "ammonia_production.csv",
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idees="data/jrc-idees-2015",
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@ -405,6 +436,11 @@ rule build_industry_sector_ratios:
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rule build_industrial_production_per_country:
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params:
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run=config["run"],
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industry=config["industry"],
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countries=config["countries"],
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logging=config["logging"],
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input:
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ammonia_production=RESOURCES + "ammonia_production.csv",
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jrc="data/jrc-idees-2015",
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@ -426,6 +462,8 @@ rule build_industrial_production_per_country:
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rule build_industrial_production_per_country_tomorrow:
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params:
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industry=config["industry"],
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input:
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industrial_production_per_country=RESOURCES
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+ "industrial_production_per_country.csv",
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@ -450,6 +488,10 @@ rule build_industrial_production_per_country_tomorrow:
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rule build_industrial_distribution_key:
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params:
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industry=config["industry"],
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countries=config["countries"],
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logging=config["logging"],
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input:
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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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@ -524,6 +566,10 @@ rule build_industrial_energy_demand_per_node:
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rule build_industrial_energy_demand_per_country_today:
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params:
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run=config["run"],
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countries=config["countries"],
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industry=config["industry"],
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input:
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jrc="data/jrc-idees-2015",
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ammonia_production=RESOURCES + "ammonia_production.csv",
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@ -570,6 +616,9 @@ rule build_industrial_energy_demand_per_node_today:
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if config["sector"]["retrofitting"]["retro_endogen"]:
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rule build_retro_cost:
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params:
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sector=config["sector"],
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countries=config["countries"],
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input:
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building_stock="data/retro/data_building_stock.csv",
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data_tabula="data/retro/tabula-calculator-calcsetbuilding.csv",
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@ -640,6 +689,9 @@ rule build_shipping_demand:
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rule build_transport_demand:
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params:
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snapshots=config["snapshots"],
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sector=config["sector"],
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input:
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clustered_pop_layout=RESOURCES + "pop_layout_elec_s{simpl}_{clusters}.csv",
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pop_weighted_energy_totals=RESOURCES
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@ -666,6 +718,19 @@ rule build_transport_demand:
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rule prepare_sector_network:
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params:
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co2_budget=config["co2_budget"],
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solving=config["solving"],
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existing_capacities=config["existing_capacities"],
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foresight=config["foresight"],
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costs=config["costs"],
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logging=config["logging"],
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sector=config["sector"],
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industry=config["industry"],
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pypsa_eur=config["pypsa_eur"],
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lines=config["lines"],
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scenario=config["scenario"],
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countries=config["countries"],
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energy=config["energy"],
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RDIR=RDIR,
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input:
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**build_retro_cost_output,
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@ -9,6 +9,10 @@ localrules:
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rule plot_network:
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params:
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logging=config["logging"],
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foresight=config["foresight"],
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plotting=config["plotting"],
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input:
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overrides="data/override_component_attrs",
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network=RESULTS
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@ -67,6 +71,11 @@ rule copy_conda_env:
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rule make_summary:
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params:
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foresight=config["foresight"],
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costs=config["costs"],
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snapshots=config["snapshots"],
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logging=config["logging"],
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scenario=config["scenario"],
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RDIR=RDIR,
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input:
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overrides="data/override_component_attrs",
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@ -114,6 +123,10 @@ rule make_summary:
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rule plot_summary:
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params:
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logging=config["logging"],
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countries=config["countries"],
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scenario=config["scenario"],
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plotting=config["plotting"],
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RDIR=RDIR,
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input:
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costs=RESULTS + "csvs/costs.csv",
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@ -19,6 +19,8 @@ if config["enable"].get("retrieve_databundle", True):
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datafiles.extend(["natura/Natura2000_end2015.shp", "GEBCO_2014_2D.nc"])
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rule retrieve_databundle:
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params:
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tutorial=config["tutorial"],
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output:
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expand("data/bundle/{file}", file=datafiles),
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log:
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@ -4,6 +4,8 @@
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rule solve_network:
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params:
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solving=config["solving"],
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input:
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network=RESOURCES + "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
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output:
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@ -30,6 +32,8 @@ rule solve_network:
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rule solve_operations_network:
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params:
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solving=config["solving"],
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input:
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network=RESULTS + "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc",
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output:
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@ -4,6 +4,12 @@
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rule add_existing_baseyear:
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params:
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scenario=config["scenario"],
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sector=config["sector"],
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logging=config["logging"],
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existing_capacities=config["existing_capacities"],
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costs=config["costs"],
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input:
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overrides="data/override_component_attrs",
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network=RESULTS
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@ -42,6 +48,10 @@ rule add_existing_baseyear:
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rule add_brownfield:
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params:
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logging=config["logging"],
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sector=config["sector"],
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existing_capacities=config["existing_capacities"],
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input:
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overrides="data/override_component_attrs",
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network=RESULTS
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@ -74,6 +84,8 @@ ruleorder: add_existing_baseyear > add_brownfield
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rule solve_sector_network_myopic:
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params:
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solving=config["solving"],
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input:
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overrides="data/override_component_attrs",
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network=RESULTS
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@ -4,6 +4,8 @@
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rule solve_sector_network:
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params:
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solving=config["solving"],
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input:
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overrides="data/override_component_attrs",
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network=RESULTS
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@ -82,7 +82,7 @@ def load_network(import_name=None, custom_components=None):
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As in pypsa.Network(import_name)
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custom_components : dict
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Dictionary listing custom components.
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For using ``snakemake.config['override_components']``
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For using ``snakemake.params['override_components']``
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in ``config/config.yaml`` define:
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.. code:: yaml
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@ -49,7 +49,7 @@ def add_brownfield(n, n_p, year):
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)
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]
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threshold = snakemake.config["existing_capacities"]["threshold_capacity"]
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threshold = snakemake.params["existing_capacities"]["threshold_capacity"]
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if not chp_heat.empty:
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threshold_chp_heat = (
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@ -87,7 +87,7 @@ def add_brownfield(n, n_p, year):
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# deal with gas network
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pipe_carrier = ["gas pipeline"]
|
||||
if snakemake.config["sector"]["H2_retrofit"]:
|
||||
if snakemake.params["sector"]["H2_retrofit"]:
|
||||
# drop capacities of previous year to avoid duplicating
|
||||
to_drop = n.links.carrier.isin(pipe_carrier) & (n.links.build_year != year)
|
||||
n.mremove("Link", n.links.loc[to_drop].index)
|
||||
@ -98,7 +98,7 @@ def add_brownfield(n, n_p, year):
|
||||
& (n.links.build_year != year)
|
||||
].index
|
||||
gas_pipes_i = n.links[n.links.carrier.isin(pipe_carrier)].index
|
||||
CH4_per_H2 = 1 / snakemake.config["sector"]["H2_retrofit_capacity_per_CH4"]
|
||||
CH4_per_H2 = 1 / snakemake.params["sector"]["H2_retrofit_capacity_per_CH4"]
|
||||
fr = "H2 pipeline retrofitted"
|
||||
to = "gas pipeline"
|
||||
# today's pipe capacity
|
||||
@ -139,7 +139,7 @@ if __name__ == "__main__":
|
||||
planning_horizons=2030,
|
||||
)
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
update_config_with_sector_opts(snakemake.config, snakemake.wildcards.sector_opts)
|
||||
|
||||
|
@ -686,15 +686,15 @@ def estimate_renewable_capacities(n, config):
|
||||
)
|
||||
|
||||
|
||||
def add_nice_carrier_names(n, plotting):
|
||||
def add_nice_carrier_names(n, config):
|
||||
carrier_i = n.carriers.index
|
||||
nice_names = (
|
||||
pd.Series(plotting["nice_names"])
|
||||
pd.Series(config["plotting"]["nice_names"])
|
||||
.reindex(carrier_i)
|
||||
.fillna(carrier_i.to_series().str.title())
|
||||
)
|
||||
n.carriers["nice_name"] = nice_names
|
||||
colors = pd.Series(plotting["tech_colors"]).reindex(carrier_i)
|
||||
colors = pd.Series(config["plotting"]["tech_colors"]).reindex(carrier_i)
|
||||
if colors.isna().any():
|
||||
missing_i = list(colors.index[colors.isna()])
|
||||
logger.warning(f"tech_colors for carriers {missing_i} not defined in config.")
|
||||
@ -713,23 +713,23 @@ if __name__ == "__main__":
|
||||
|
||||
costs = load_costs(
|
||||
snakemake.input.tech_costs,
|
||||
snakemake.param["costs"],
|
||||
snakemake.param["electricity"],
|
||||
snakemake.params["costs"],
|
||||
snakemake.params["electricity"],
|
||||
Nyears,
|
||||
)
|
||||
ppl = load_powerplants(snakemake.input.powerplants)
|
||||
|
||||
if "renewable_carriers" in snakemake.param["electricity"]:
|
||||
renewable_carriers = set(snakemake.param["electricity"]["renewable_carriers"])
|
||||
if "renewable_carriers" in snakemake.params["electricity"]:
|
||||
renewable_carriers = set(snakemake.params["electricity"]["renewable_carriers"])
|
||||
else:
|
||||
logger.warning(
|
||||
"Missing key `renewable_carriers` under config entry `electricity`. "
|
||||
"In future versions, this will raise an error. "
|
||||
"Falling back to carriers listed under `renewable`."
|
||||
)
|
||||
renewable_carriers = snakemake.param["renewable"]
|
||||
renewable_carriers = snakemake.params["renewable"]
|
||||
|
||||
extendable_carriers = snakemake.param["electricity"]["extendable_carriers"]
|
||||
extendable_carriers = snakemake.params["electricity"]["extendable_carriers"]
|
||||
if not (set(renewable_carriers) & set(extendable_carriers["Generator"])):
|
||||
logger.warning(
|
||||
"No renewables found in config entry `extendable_carriers`. "
|
||||
@ -737,18 +737,18 @@ if __name__ == "__main__":
|
||||
"Falling back to all renewables."
|
||||
)
|
||||
|
||||
conventional_carriers = snakemake.param["electricity"]["conventional_carriers"]
|
||||
conventional_carriers = snakemake.params["electricity"]["conventional_carriers"]
|
||||
|
||||
attach_load(
|
||||
n,
|
||||
snakemake.input.regions,
|
||||
snakemake.input.load,
|
||||
snakemake.input.nuts3_shapes,
|
||||
snakemake.param["countries"],
|
||||
snakemake.param["load"]["scaling_factor"],
|
||||
snakemake.params["countries"],
|
||||
snakemake.params["load"]["scaling_factor"],
|
||||
)
|
||||
|
||||
update_transmission_costs(n, costs, snakemake.param["lines"]["length_factor"])
|
||||
update_transmission_costs(n, costs, snakemake.params["lines"]["length_factor"])
|
||||
|
||||
conventional_inputs = {
|
||||
k: v for k, v in snakemake.input.items() if k.startswith("conventional_")
|
||||
@ -759,7 +759,7 @@ if __name__ == "__main__":
|
||||
ppl,
|
||||
conventional_carriers,
|
||||
extendable_carriers,
|
||||
snakemake.param.get("conventional", {}),
|
||||
snakemake.config.get("conventional", {}),
|
||||
conventional_inputs,
|
||||
)
|
||||
|
||||
@ -769,11 +769,11 @@ if __name__ == "__main__":
|
||||
snakemake.input,
|
||||
renewable_carriers,
|
||||
extendable_carriers,
|
||||
snakemake.param["lines"]["length_factor"],
|
||||
snakemake.params["lines"]["length_factor"],
|
||||
)
|
||||
|
||||
if "hydro" in renewable_carriers:
|
||||
conf = snakemake.param["renewable"]["hydro"]
|
||||
conf = snakemake.params["renewable"]["hydro"]
|
||||
attach_hydro(
|
||||
n,
|
||||
costs,
|
||||
@ -784,7 +784,7 @@ if __name__ == "__main__":
|
||||
**conf,
|
||||
)
|
||||
|
||||
if "estimate_renewable_capacities" not in snakemake.param["electricity"]:
|
||||
if "estimate_renewable_capacities" not in snakemake.params["electricity"]:
|
||||
logger.warning(
|
||||
"Missing key `estimate_renewable_capacities` under config entry `electricity`. "
|
||||
"In future versions, this will raise an error. "
|
||||
@ -792,18 +792,18 @@ if __name__ == "__main__":
|
||||
)
|
||||
if (
|
||||
"estimate_renewable_capacities_from_capacity_stats"
|
||||
in snakemake.param["electricity"]
|
||||
in snakemake.params["electricity"]
|
||||
):
|
||||
estimate_renewable_caps = {
|
||||
"enable": True,
|
||||
**snakemake.param["electricity"][
|
||||
**snakemake.params["electricity"][
|
||||
"estimate_renewable_capacities_from_capacity_stats"
|
||||
],
|
||||
}
|
||||
else:
|
||||
estimate_renewable_caps = {"enable": False}
|
||||
else:
|
||||
estimate_renewable_caps = snakemake.param["electricity"][
|
||||
estimate_renewable_caps = snakemake.params["electricity"][
|
||||
"estimate_renewable_capacities"
|
||||
]
|
||||
if "enable" not in estimate_renewable_caps:
|
||||
@ -819,21 +819,21 @@ if __name__ == "__main__":
|
||||
"Falling back to whether `renewable_capacities_from_opsd` is non-empty."
|
||||
)
|
||||
from_opsd = bool(
|
||||
snakemake.param["electricity"].get("renewable_capacities_from_opsd", False)
|
||||
snakemake.params["electricity"].get("renewable_capacities_from_opsd", False)
|
||||
)
|
||||
estimate_renewable_caps["from_opsd"] = from_opsd
|
||||
|
||||
if estimate_renewable_caps["enable"]:
|
||||
if estimate_renewable_caps["from_opsd"]:
|
||||
tech_map = snakemake.param["electricity"]["estimate_renewable_capacities"][
|
||||
tech_map = snakemake.params["electricity"]["estimate_renewable_capacities"][
|
||||
"technology_mapping"
|
||||
]
|
||||
attach_OPSD_renewables(n, tech_map)
|
||||
estimate_renewable_capacities(n, snakemake.param)
|
||||
estimate_renewable_capacities(n, snakemake.config)
|
||||
|
||||
update_p_nom_max(n)
|
||||
|
||||
add_nice_carrier_names(n, snakemake.param["plotting"])
|
||||
add_nice_carrier_names(n, snakemake.config)
|
||||
|
||||
n.meta = snakemake.param
|
||||
n.meta = snakemake.config
|
||||
n.export_to_netcdf(snakemake.output[0])
|
||||
|
@ -157,7 +157,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
|
||||
# Fill missing DateOut
|
||||
dateout = (
|
||||
df_agg.loc[biomass_i, "DateIn"]
|
||||
+ snakemake.config["costs"]["fill_values"]["lifetime"]
|
||||
+ snakemake.params["costs"]["fill_values"]["lifetime"]
|
||||
)
|
||||
df_agg.loc[biomass_i, "DateOut"] = df_agg.loc[biomass_i, "DateOut"].fillna(dateout)
|
||||
|
||||
@ -218,7 +218,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
|
||||
capacity = df.loc[grouping_year, generator]
|
||||
capacity = capacity[~capacity.isna()]
|
||||
capacity = capacity[
|
||||
capacity > snakemake.config["existing_capacities"]["threshold_capacity"]
|
||||
capacity > snakemake.params["existing_capacities"]["threshold_capacity"]
|
||||
]
|
||||
suffix = "-ac" if generator == "offwind" else ""
|
||||
name_suffix = f" {generator}{suffix}-{grouping_year}"
|
||||
@ -582,7 +582,7 @@ def add_heating_capacities_installed_before_baseyear(
|
||||
)
|
||||
|
||||
# delete links with capacities below threshold
|
||||
threshold = snakemake.config["existing_capacities"]["threshold_capacity"]
|
||||
threshold = snakemake.params["existing_capacities"]["threshold_capacity"]
|
||||
n.mremove(
|
||||
"Link",
|
||||
[
|
||||
@ -608,14 +608,14 @@ if __name__ == "__main__":
|
||||
planning_horizons=2020,
|
||||
)
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
update_config_with_sector_opts(snakemake.config, snakemake.wildcards.sector_opts)
|
||||
|
||||
options = snakemake.config["sector"]
|
||||
options = snakemake.params["sector"]
|
||||
opts = snakemake.wildcards.sector_opts.split("-")
|
||||
|
||||
baseyear = snakemake.config["scenario"]["planning_horizons"][0]
|
||||
baseyear = snakemake.params["scenario"]["planning_horizons"][0]
|
||||
|
||||
overrides = override_component_attrs(snakemake.input.overrides)
|
||||
n = pypsa.Network(snakemake.input.network, override_component_attrs=overrides)
|
||||
@ -626,14 +626,14 @@ if __name__ == "__main__":
|
||||
Nyears = n.snapshot_weightings.generators.sum() / 8760.0
|
||||
costs = prepare_costs(
|
||||
snakemake.input.costs,
|
||||
snakemake.config["costs"],
|
||||
snakemake.params["costs"],
|
||||
Nyears,
|
||||
)
|
||||
|
||||
grouping_years_power = snakemake.config["existing_capacities"][
|
||||
grouping_years_power = snakemake.params["existing_capacities"][
|
||||
"grouping_years_power"
|
||||
]
|
||||
grouping_years_heat = snakemake.config["existing_capacities"]["grouping_years_heat"]
|
||||
grouping_years_heat = snakemake.params["existing_capacities"]["grouping_years_heat"]
|
||||
add_power_capacities_installed_before_baseyear(
|
||||
n, grouping_years_power, costs, baseyear
|
||||
)
|
||||
@ -650,7 +650,7 @@ if __name__ == "__main__":
|
||||
.to_pandas()
|
||||
.reindex(index=n.snapshots)
|
||||
)
|
||||
default_lifetime = snakemake.config["costs"]["fill_values"]["lifetime"]
|
||||
default_lifetime = snakemake.params["costs"]["fill_values"]["lifetime"]
|
||||
add_heating_capacities_installed_before_baseyear(
|
||||
n,
|
||||
baseyear,
|
||||
|
@ -235,11 +235,11 @@ if __name__ == "__main__":
|
||||
configure_logging(snakemake)
|
||||
|
||||
n = pypsa.Network(snakemake.input.network)
|
||||
elec_config = snakemake.config["electricity"]
|
||||
elec_config = snakemake.params["electricity"]
|
||||
|
||||
Nyears = n.snapshot_weightings.objective.sum() / 8760.0
|
||||
costs = load_costs(
|
||||
snakemake.input.tech_costs, snakemake.config["costs"], elec_config, Nyears
|
||||
snakemake.input.tech_costs, snakemake.params["costs"], elec_config, Nyears
|
||||
)
|
||||
|
||||
attach_storageunits(n, costs, elec_config)
|
||||
|
@ -30,7 +30,7 @@ if __name__ == "__main__":
|
||||
ammonia.index = cc.convert(ammonia.index, to="iso2")
|
||||
|
||||
years = [str(i) for i in range(2013, 2018)]
|
||||
countries = ammonia.index.intersection(snakemake.config["countries"])
|
||||
countries = ammonia.index.intersection(snakemake.params["countries"])
|
||||
ammonia = ammonia.loc[countries, years].astype(float)
|
||||
|
||||
# convert from ktonN to ktonNH3
|
||||
|
@ -210,7 +210,7 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("build_biomass_potentials", simpl="", clusters="5")
|
||||
|
||||
config = snakemake.config["biomass"]
|
||||
config = snakemake.params["biomass"]
|
||||
year = config["year"]
|
||||
scenario = config["scenario"]
|
||||
|
||||
|
@ -116,7 +116,7 @@ if __name__ == "__main__":
|
||||
snakemake = mock_snakemake("build_bus_regions")
|
||||
configure_logging(snakemake)
|
||||
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
|
||||
n = pypsa.Network(snakemake.input.base_network)
|
||||
|
||||
|
@ -39,7 +39,7 @@ if __name__ == "__main__":
|
||||
for source in ["air", "soil"]:
|
||||
source_T = xr.open_dataarray(snakemake.input[f"temp_{source}_{area}"])
|
||||
|
||||
delta_T = snakemake.config["sector"]["heat_pump_sink_T"] - source_T
|
||||
delta_T = snakemake.params["sector"]["heat_pump_sink_T"] - source_T
|
||||
|
||||
cop = coefficient_of_performance(delta_T, source)
|
||||
|
||||
|
@ -106,9 +106,9 @@ if __name__ == "__main__":
|
||||
snakemake = mock_snakemake("build_cutout", cutout="europe-2013-era5")
|
||||
configure_logging(snakemake)
|
||||
|
||||
cutout_params = snakemake.config["atlite"]["cutouts"][snakemake.wildcards.cutout]
|
||||
cutout_params = snakemake.params["atlite"]["cutouts"][snakemake.wildcards.cutout]
|
||||
|
||||
snapshots = pd.date_range(freq="h", **snakemake.config["snapshots"])
|
||||
snapshots = pd.date_range(freq="h", **snakemake.params["snapshots"])
|
||||
time = [snapshots[0], snapshots[-1]]
|
||||
cutout_params["time"] = slice(*cutout_params.get("time", time))
|
||||
|
||||
|
@ -279,16 +279,16 @@ if __name__ == "__main__":
|
||||
|
||||
configure_logging(snakemake)
|
||||
|
||||
powerstatistics = snakemake.config["load"]["power_statistics"]
|
||||
interpolate_limit = snakemake.config["load"]["interpolate_limit"]
|
||||
countries = snakemake.config["countries"]
|
||||
snapshots = pd.date_range(freq="h", **snakemake.config["snapshots"])
|
||||
powerstatistics = snakemake.params["load"]["power_statistics"]
|
||||
interpolate_limit = snakemake.params["load"]["interpolate_limit"]
|
||||
countries = snakemake.params["countries"]
|
||||
snapshots = pd.date_range(freq="h", **snakemake.params["snapshots"])
|
||||
years = slice(snapshots[0], snapshots[-1])
|
||||
time_shift = snakemake.config["load"]["time_shift_for_large_gaps"]
|
||||
time_shift = snakemake.params["load"]["time_shift_for_large_gaps"]
|
||||
|
||||
load = load_timeseries(snakemake.input[0], years, countries, powerstatistics)
|
||||
|
||||
if snakemake.config["load"]["manual_adjustments"]:
|
||||
if snakemake.params["load"]["manual_adjustments"]:
|
||||
load = manual_adjustment(load, snakemake.input[0], powerstatistics)
|
||||
|
||||
logger.info(f"Linearly interpolate gaps of size {interpolate_limit} and less.")
|
||||
|
@ -373,7 +373,7 @@ def idees_per_country(ct, year, base_dir):
|
||||
|
||||
def build_idees(countries, year):
|
||||
nprocesses = snakemake.threads
|
||||
disable_progress = snakemake.config["run"].get("disable_progressbar", False)
|
||||
disable_progress = snakemake.params["run"].get("disable_progressbar", False)
|
||||
|
||||
func = partial(idees_per_country, year=year, base_dir=snakemake.input.idees)
|
||||
tqdm_kwargs = dict(
|
||||
@ -735,18 +735,18 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("build_energy_totals")
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
config = snakemake.config["energy"]
|
||||
config = snakemake.params["energy"]
|
||||
|
||||
nuts3 = gpd.read_file(snakemake.input.nuts3_shapes).set_index("index")
|
||||
population = nuts3["pop"].groupby(nuts3.country).sum()
|
||||
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
idees_countries = pd.Index(countries).intersection(eu28)
|
||||
|
||||
data_year = config["energy_totals_year"]
|
||||
report_year = snakemake.config["energy"]["eurostat_report_year"]
|
||||
report_year = snakemake.params["energy"]["eurostat_report_year"]
|
||||
input_eurostat = snakemake.input.eurostat
|
||||
eurostat = build_eurostat(input_eurostat, countries, report_year, data_year)
|
||||
swiss = build_swiss(data_year)
|
||||
@ -756,7 +756,7 @@ if __name__ == "__main__":
|
||||
energy.to_csv(snakemake.output.energy_name)
|
||||
|
||||
base_year_emissions = config["base_emissions_year"]
|
||||
emissions_scope = snakemake.config["energy"]["emissions"]
|
||||
emissions_scope = snakemake.params["energy"]["emissions"]
|
||||
eea_co2 = build_eea_co2(snakemake.input.co2, base_year_emissions, emissions_scope)
|
||||
eurostat_co2 = build_eurostat_co2(
|
||||
input_eurostat, countries, report_year, base_year_emissions
|
||||
|
@ -86,7 +86,7 @@ if __name__ == "__main__":
|
||||
clusters="37",
|
||||
)
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
regions = load_bus_regions(
|
||||
snakemake.input.regions_onshore, snakemake.input.regions_offshore
|
||||
|
@ -147,7 +147,7 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("build_gas_network")
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
gas_network = load_dataset(snakemake.input.gas_network)
|
||||
|
||||
|
@ -27,7 +27,7 @@ if __name__ == "__main__":
|
||||
cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
|
||||
client = Client(cluster, asynchronous=True)
|
||||
|
||||
time = pd.date_range(freq="h", **snakemake.config["snapshots"])
|
||||
time = pd.date_range(freq="h", **snakemake.params["snapshots"])
|
||||
cutout = atlite.Cutout(snakemake.input.cutout).sel(time=time)
|
||||
|
||||
clustered_regions = (
|
||||
|
@ -130,10 +130,10 @@ if __name__ == "__main__":
|
||||
snakemake = mock_snakemake("build_hydro_profile")
|
||||
configure_logging(snakemake)
|
||||
|
||||
config_hydro = snakemake.config["renewable"]["hydro"]
|
||||
config_hydro = snakemake.params["renewable"]["hydro"]
|
||||
cutout = atlite.Cutout(snakemake.input.cutout)
|
||||
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
country_shapes = (
|
||||
gpd.read_file(snakemake.input.country_shapes)
|
||||
.set_index("name")["geometry"]
|
||||
|
@ -73,7 +73,7 @@ def prepare_hotmaps_database(regions):
|
||||
|
||||
df[["srid", "coordinates"]] = df.geom.str.split(";", expand=True)
|
||||
|
||||
if snakemake.config["industry"].get("hotmaps_locate_missing", False):
|
||||
if snakemake.params["industry"].get("hotmaps_locate_missing", False):
|
||||
df = locate_missing_industrial_sites(df)
|
||||
|
||||
# remove those sites without valid locations
|
||||
@ -141,9 +141,9 @@ if __name__ == "__main__":
|
||||
clusters=48,
|
||||
)
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
|
||||
regions = gpd.read_file(snakemake.input.regions_onshore).set_index("name")
|
||||
|
||||
|
@ -153,7 +153,7 @@ def add_non_eu28_industrial_energy_demand(countries, demand):
|
||||
|
||||
def industrial_energy_demand(countries, year):
|
||||
nprocesses = snakemake.threads
|
||||
disable_progress = snakemake.config["run"].get("disable_progressbar", False)
|
||||
disable_progress = snakemake.params["run"].get("disable_progressbar", False)
|
||||
func = partial(
|
||||
industrial_energy_demand_per_country, year=year, jrc_dir=snakemake.input.jrc
|
||||
)
|
||||
@ -178,9 +178,9 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("build_industrial_energy_demand_per_country_today")
|
||||
|
||||
config = snakemake.config["industry"]
|
||||
config = snakemake.params["industry"]
|
||||
year = config.get("reference_year", 2015)
|
||||
countries = pd.Index(snakemake.config["countries"])
|
||||
countries = pd.Index(snakemake.params["countries"])
|
||||
|
||||
demand = industrial_energy_demand(countries.intersection(eu28), year)
|
||||
|
||||
|
@ -217,7 +217,7 @@ def industry_production_per_country(country, year, eurostat_dir, jrc_dir):
|
||||
|
||||
def industry_production(countries, year, eurostat_dir, jrc_dir):
|
||||
nprocesses = snakemake.threads
|
||||
disable_progress = snakemake.config["run"].get("disable_progressbar", False)
|
||||
disable_progress = snakemake.params["run"].get("disable_progressbar", False)
|
||||
|
||||
func = partial(
|
||||
industry_production_per_country,
|
||||
@ -277,13 +277,13 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("build_industrial_production_per_country")
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
|
||||
year = snakemake.config["industry"]["reference_year"]
|
||||
year = snakemake.params["industry"]["reference_year"]
|
||||
|
||||
config = snakemake.config["industry"]
|
||||
config = snakemake.params["industry"]
|
||||
|
||||
jrc_dir = snakemake.input.jrc
|
||||
eurostat_dir = snakemake.input.eurostat
|
||||
|
@ -15,7 +15,7 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("build_industrial_production_per_country_tomorrow")
|
||||
|
||||
config = snakemake.config["industry"]
|
||||
config = snakemake.params["industry"]
|
||||
|
||||
investment_year = int(snakemake.wildcards.planning_horizons)
|
||||
|
||||
|
@ -439,7 +439,7 @@ def chemicals_industry():
|
||||
|
||||
sector = "Ammonia"
|
||||
df[sector] = 0.0
|
||||
if snakemake.config["sector"].get("ammonia", False):
|
||||
if snakemake.params["sector"].get("ammonia", False):
|
||||
df.loc["ammonia", sector] = config["MWh_NH3_per_tNH3"]
|
||||
else:
|
||||
df.loc["hydrogen", sector] = config["MWh_H2_per_tNH3_electrolysis"]
|
||||
@ -1468,7 +1468,7 @@ if __name__ == "__main__":
|
||||
# TODO make config option
|
||||
year = 2015
|
||||
|
||||
config = snakemake.config["industry"]
|
||||
config = snakemake.params["industry"]
|
||||
|
||||
df = pd.concat(
|
||||
[
|
||||
|
@ -23,7 +23,7 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("build_population_layouts")
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
cutout = atlite.Cutout(snakemake.input.cutout)
|
||||
|
||||
|
@ -115,7 +115,7 @@ if __name__ == "__main__":
|
||||
configure_logging(snakemake)
|
||||
|
||||
n = pypsa.Network(snakemake.input.base_network)
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
|
||||
ppl = (
|
||||
pm.powerplants(from_url=True)
|
||||
@ -134,12 +134,12 @@ if __name__ == "__main__":
|
||||
ppl = ppl.query('not (Country in @available_countries and Fueltype == "Bioenergy")')
|
||||
ppl = pd.concat([ppl, opsd])
|
||||
|
||||
ppl_query = snakemake.config["electricity"]["powerplants_filter"]
|
||||
ppl_query = snakemake.params["electricity"]["powerplants_filter"]
|
||||
if isinstance(ppl_query, str):
|
||||
ppl.query(ppl_query, inplace=True)
|
||||
|
||||
# add carriers from own powerplant files:
|
||||
custom_ppl_query = snakemake.config["electricity"]["custom_powerplants"]
|
||||
custom_ppl_query = snakemake.params["electricity"]["custom_powerplants"]
|
||||
ppl = add_custom_powerplants(
|
||||
ppl, snakemake.input.custom_powerplants, custom_ppl_query
|
||||
)
|
||||
|
@ -203,8 +203,8 @@ if __name__ == "__main__":
|
||||
configure_logging(snakemake)
|
||||
|
||||
nprocesses = int(snakemake.threads)
|
||||
noprogress = snakemake.config["run"].get("disable_progressbar", True)
|
||||
config = snakemake.config["renewable"][snakemake.wildcards.technology]
|
||||
noprogress = snakemake.params["run"].get("disable_progressbar", True)
|
||||
config = snakemake.params["renewable"][snakemake.wildcards.technology]
|
||||
resource = config["resource"] # pv panel config / wind turbine config
|
||||
correction_factor = config.get("correction_factor", 1.0)
|
||||
capacity_per_sqkm = config["capacity_per_sqkm"]
|
||||
|
@ -305,7 +305,7 @@ def prepare_building_stock_data():
|
||||
u_values.set_index(["country_code", "subsector", "bage", "type"], inplace=True)
|
||||
|
||||
# only take in config.yaml specified countries into account
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
area_tot = area_tot.loc[countries]
|
||||
|
||||
return u_values, country_iso_dic, countries, area_tot, area
|
||||
@ -1040,7 +1040,7 @@ if __name__ == "__main__":
|
||||
|
||||
# ******** config *********************************************************
|
||||
|
||||
retro_opts = snakemake.config["sector"]["retrofitting"]
|
||||
retro_opts = snakemake.params["sector"]["retrofitting"]
|
||||
interest_rate = retro_opts["interest_rate"]
|
||||
annualise_cost = retro_opts["annualise_cost"] # annualise the investment costs
|
||||
tax_weighting = retro_opts[
|
||||
|
@ -41,7 +41,7 @@ if __name__ == "__main__":
|
||||
"build_sequestration_potentials", simpl="", clusters="181"
|
||||
)
|
||||
|
||||
cf = snakemake.config["sector"]["regional_co2_sequestration_potential"]
|
||||
cf = snakemake.params["sector"]["regional_co2_sequestration_potential"]
|
||||
|
||||
gdf = gpd.read_file(snakemake.input.sequestration_potential[0])
|
||||
|
||||
|
@ -255,12 +255,12 @@ if __name__ == "__main__":
|
||||
configure_logging(snakemake)
|
||||
|
||||
country_shapes = countries(
|
||||
snakemake.input.naturalearth, snakemake.config["countries"]
|
||||
snakemake.input.naturalearth, snakemake.params["countries"]
|
||||
)
|
||||
country_shapes.reset_index().to_file(snakemake.output.country_shapes)
|
||||
|
||||
offshore_shapes = eez(
|
||||
country_shapes, snakemake.input.eez, snakemake.config["countries"]
|
||||
country_shapes, snakemake.input.eez, snakemake.params["countries"]
|
||||
)
|
||||
offshore_shapes.reset_index().to_file(snakemake.output.offshore_shapes)
|
||||
|
||||
|
@ -27,9 +27,9 @@ if __name__ == "__main__":
|
||||
cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
|
||||
client = Client(cluster, asynchronous=True)
|
||||
|
||||
config = snakemake.config["solar_thermal"]
|
||||
config = snakemake.params["solar_thermal"]
|
||||
|
||||
time = pd.date_range(freq="h", **snakemake.config["snapshots"])
|
||||
time = pd.date_range(freq="h", **snakemake.params["snapshots"])
|
||||
cutout = atlite.Cutout(snakemake.input.cutout).sel(time=time)
|
||||
|
||||
clustered_regions = (
|
||||
|
@ -27,7 +27,7 @@ if __name__ == "__main__":
|
||||
cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
|
||||
client = Client(cluster, asynchronous=True)
|
||||
|
||||
time = pd.date_range(freq="h", **snakemake.config["snapshots"])
|
||||
time = pd.date_range(freq="h", **snakemake.params["snapshots"])
|
||||
cutout = atlite.Cutout(snakemake.input.cutout).sel(time=time)
|
||||
|
||||
clustered_regions = (
|
||||
|
@ -175,9 +175,9 @@ if __name__ == "__main__":
|
||||
snakemake.input.pop_weighted_energy_totals, index_col=0
|
||||
)
|
||||
|
||||
options = snakemake.config["sector"]
|
||||
options = snakemake.params["sector"]
|
||||
|
||||
snapshots = pd.date_range(freq="h", **snakemake.config["snapshots"], tz="UTC")
|
||||
snapshots = pd.date_range(freq="h", **snakemake.params["snapshots"], tz="UTC")
|
||||
|
||||
nyears = len(snapshots) / 8760
|
||||
|
||||
|
@ -110,7 +110,7 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("cluster_gas_network", simpl="", clusters="37")
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
fn = snakemake.input.cleaned_gas_network
|
||||
df = pd.read_csv(fn, index_col=0)
|
||||
|
@ -468,18 +468,18 @@ if __name__ == "__main__":
|
||||
[
|
||||
tech
|
||||
for tech in n.generators.carrier.unique()
|
||||
if tech in snakemake.config["renewable"]
|
||||
if tech in snakemake.params["renewable"]
|
||||
]
|
||||
)
|
||||
|
||||
exclude_carriers = snakemake.config["clustering"]["cluster_network"].get(
|
||||
exclude_carriers = snakemake.params["clustering"]["cluster_network"].get(
|
||||
"exclude_carriers", []
|
||||
)
|
||||
aggregate_carriers = set(n.generators.carrier) - set(exclude_carriers)
|
||||
if snakemake.wildcards.clusters.endswith("m"):
|
||||
n_clusters = int(snakemake.wildcards.clusters[:-1])
|
||||
conventional = set(
|
||||
snakemake.config["electricity"].get("conventional_carriers", [])
|
||||
snakemake.params["electricity"].get("conventional_carriers", [])
|
||||
)
|
||||
aggregate_carriers = conventional.intersection(aggregate_carriers)
|
||||
elif snakemake.wildcards.clusters == "all":
|
||||
@ -495,13 +495,13 @@ if __name__ == "__main__":
|
||||
n, busmap, linemap, linemap, pd.Series(dtype="O")
|
||||
)
|
||||
else:
|
||||
line_length_factor = snakemake.config["lines"]["length_factor"]
|
||||
line_length_factor = snakemake.params["lines"]["length_factor"]
|
||||
Nyears = n.snapshot_weightings.objective.sum() / 8760
|
||||
|
||||
hvac_overhead_cost = load_costs(
|
||||
snakemake.input.tech_costs,
|
||||
snakemake.config["costs"],
|
||||
snakemake.config["electricity"],
|
||||
snakemake.params["costs"],
|
||||
snakemake.params["electricity"],
|
||||
Nyears,
|
||||
).at["HVAC overhead", "capital_cost"]
|
||||
|
||||
@ -512,7 +512,7 @@ if __name__ == "__main__":
|
||||
).all() or x.isnull().all(), "The `potential` configuration option must agree for all renewable carriers, for now!"
|
||||
return v
|
||||
|
||||
aggregation_strategies = snakemake.config["clustering"].get(
|
||||
aggregation_strategies = snakemake.params["clustering"].get(
|
||||
"aggregation_strategies", {}
|
||||
)
|
||||
# translate str entries of aggregation_strategies to pd.Series functions:
|
||||
@ -521,7 +521,7 @@ if __name__ == "__main__":
|
||||
for p in aggregation_strategies.keys()
|
||||
}
|
||||
|
||||
custom_busmap = snakemake.config["enable"].get("custom_busmap", False)
|
||||
custom_busmap = snakemake.params["enable"].get("custom_busmap", False)
|
||||
if custom_busmap:
|
||||
custom_busmap = pd.read_csv(
|
||||
snakemake.input.custom_busmap, index_col=0, squeeze=True
|
||||
@ -539,7 +539,7 @@ if __name__ == "__main__":
|
||||
aggregate_carriers,
|
||||
line_length_factor,
|
||||
aggregation_strategies,
|
||||
snakemake.config["solving"]["solver"]["name"],
|
||||
snakemake.params["solving"]["solver"]["name"],
|
||||
cluster_config.get("algorithm", "hac"),
|
||||
cluster_config.get("feature", "solar+onwind-time"),
|
||||
hvac_overhead_cost,
|
||||
|
@ -198,7 +198,7 @@ def calculate_costs(n, label, costs):
|
||||
|
||||
|
||||
def calculate_cumulative_cost():
|
||||
planning_horizons = snakemake.config["scenario"]["planning_horizons"]
|
||||
planning_horizons = snakemake.params["scenario"]["planning_horizons"]
|
||||
|
||||
cumulative_cost = pd.DataFrame(
|
||||
index=df["costs"].sum().index,
|
||||
@ -682,25 +682,25 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("make_summary")
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
networks_dict = {
|
||||
(cluster, ll, opt + sector_opt, planning_horizon): "results/"
|
||||
+ snakemake.params.RDIR
|
||||
+ f"/postnetworks/elec_s{simpl}_{cluster}_l{ll}_{opt}_{sector_opt}_{planning_horizon}.nc"
|
||||
for simpl in snakemake.config["scenario"]["simpl"]
|
||||
for cluster in snakemake.config["scenario"]["clusters"]
|
||||
for opt in snakemake.config["scenario"]["opts"]
|
||||
for sector_opt in snakemake.config["scenario"]["sector_opts"]
|
||||
for ll in snakemake.config["scenario"]["ll"]
|
||||
for planning_horizon in snakemake.config["scenario"]["planning_horizons"]
|
||||
for simpl in snakemake.params["scenario"]["simpl"]
|
||||
for cluster in snakemake.params["scenario"]["clusters"]
|
||||
for opt in snakemake.params["scenario"]["opts"]
|
||||
for sector_opt in snakemake.params["scenario"]["sector_opts"]
|
||||
for ll in snakemake.params["scenario"]["ll"]
|
||||
for planning_horizon in snakemake.params["scenario"]["planning_horizons"]
|
||||
}
|
||||
|
||||
Nyears = len(pd.date_range(freq="h", **snakemake.config["snapshots"])) / 8760
|
||||
Nyears = len(pd.date_range(freq="h", **snakemake.params["snapshots"])) / 8760
|
||||
|
||||
costs_db = prepare_costs(
|
||||
snakemake.input.costs,
|
||||
snakemake.config["costs"],
|
||||
snakemake.params["costs"],
|
||||
Nyears,
|
||||
)
|
||||
|
||||
@ -710,7 +710,7 @@ if __name__ == "__main__":
|
||||
|
||||
to_csv(df)
|
||||
|
||||
if snakemake.config["foresight"] == "myopic":
|
||||
if snakemake.params["foresight"] == "myopic":
|
||||
cumulative_cost = calculate_cumulative_cost()
|
||||
cumulative_cost.to_csv(
|
||||
"results/" + snakemake.params.RDIR + "/csvs/cumulative_cost.csv"
|
||||
|
@ -70,7 +70,7 @@ def plot_map(
|
||||
transmission=False,
|
||||
with_legend=True,
|
||||
):
|
||||
tech_colors = snakemake.config["plotting"]["tech_colors"]
|
||||
tech_colors = snakemake.params["plotting"]["tech_colors"]
|
||||
|
||||
n = network.copy()
|
||||
assign_location(n)
|
||||
@ -116,7 +116,7 @@ def plot_map(
|
||||
costs = costs.stack() # .sort_index()
|
||||
|
||||
# hack because impossible to drop buses...
|
||||
eu_location = snakemake.config["plotting"].get(
|
||||
eu_location = snakemake.params["plotting"].get(
|
||||
"eu_node_location", dict(x=-5.5, y=46)
|
||||
)
|
||||
n.buses.loc["EU gas", "x"] = eu_location["x"]
|
||||
@ -315,7 +315,7 @@ def plot_h2_map(network, regions):
|
||||
h2_new = n.links[n.links.carrier == "H2 pipeline"]
|
||||
h2_retro = n.links[n.links.carrier == "H2 pipeline retrofitted"]
|
||||
|
||||
if snakemake.config["foresight"] == "myopic":
|
||||
if snakemake.params["foresight"] == "myopic":
|
||||
# sum capacitiy for pipelines from different investment periods
|
||||
h2_new = group_pipes(h2_new)
|
||||
|
||||
@ -558,7 +558,7 @@ def plot_ch4_map(network):
|
||||
link_widths_used = max_usage / linewidth_factor
|
||||
link_widths_used[max_usage < line_lower_threshold] = 0.0
|
||||
|
||||
tech_colors = snakemake.config["plotting"]["tech_colors"]
|
||||
tech_colors = snakemake.params["plotting"]["tech_colors"]
|
||||
|
||||
pipe_colors = {
|
||||
"gas pipeline": "#f08080",
|
||||
@ -700,7 +700,7 @@ def plot_map_without(network):
|
||||
|
||||
# hack because impossible to drop buses...
|
||||
if "EU gas" in n.buses.index:
|
||||
eu_location = snakemake.config["plotting"].get(
|
||||
eu_location = snakemake.params["plotting"].get(
|
||||
"eu_node_location", dict(x=-5.5, y=46)
|
||||
)
|
||||
n.buses.loc["EU gas", "x"] = eu_location["x"]
|
||||
@ -876,7 +876,7 @@ def plot_series(network, carrier="AC", name="test"):
|
||||
stacked=True,
|
||||
linewidth=0.0,
|
||||
color=[
|
||||
snakemake.config["plotting"]["tech_colors"][i.replace(suffix, "")]
|
||||
snakemake.params["plotting"]["tech_colors"][i.replace(suffix, "")]
|
||||
for i in new_columns
|
||||
],
|
||||
)
|
||||
@ -930,14 +930,14 @@ if __name__ == "__main__":
|
||||
planning_horizons="2030",
|
||||
)
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
overrides = override_component_attrs(snakemake.input.overrides)
|
||||
n = pypsa.Network(snakemake.input.network, override_component_attrs=overrides)
|
||||
|
||||
regions = gpd.read_file(snakemake.input.regions).set_index("name")
|
||||
|
||||
map_opts = snakemake.config["plotting"]["map"]
|
||||
map_opts = snakemake.params["plotting"]["map"]
|
||||
|
||||
if map_opts["boundaries"] is None:
|
||||
map_opts["boundaries"] = regions.total_bounds[[0, 2, 1, 3]] + [-1, 1, -1, 1]
|
||||
|
@ -142,10 +142,10 @@ def plot_costs():
|
||||
|
||||
df = df.groupby(df.index.map(rename_techs)).sum()
|
||||
|
||||
to_drop = df.index[df.max(axis=1) < snakemake.config["plotting"]["costs_threshold"]]
|
||||
to_drop = df.index[df.max(axis=1) < snakemake.params["plotting"]["costs_threshold"]]
|
||||
|
||||
logger.info(
|
||||
f"Dropping technology with costs below {snakemake.config['plotting']['costs_threshold']} EUR billion per year"
|
||||
f"Dropping technology with costs below {snakemake.params['plotting']['costs_threshold']} EUR billion per year"
|
||||
)
|
||||
logger.debug(df.loc[to_drop])
|
||||
|
||||
@ -165,7 +165,7 @@ def plot_costs():
|
||||
kind="bar",
|
||||
ax=ax,
|
||||
stacked=True,
|
||||
color=[snakemake.config["plotting"]["tech_colors"][i] for i in new_index],
|
||||
color=[snakemake.params["plotting"]["tech_colors"][i] for i in new_index],
|
||||
)
|
||||
|
||||
handles, labels = ax.get_legend_handles_labels()
|
||||
@ -173,7 +173,7 @@ def plot_costs():
|
||||
handles.reverse()
|
||||
labels.reverse()
|
||||
|
||||
ax.set_ylim([0, snakemake.config["plotting"]["costs_max"]])
|
||||
ax.set_ylim([0, snakemake.params["plotting"]["costs_max"]])
|
||||
|
||||
ax.set_ylabel("System Cost [EUR billion per year]")
|
||||
|
||||
@ -201,11 +201,11 @@ def plot_energy():
|
||||
df = df.groupby(df.index.map(rename_techs)).sum()
|
||||
|
||||
to_drop = df.index[
|
||||
df.abs().max(axis=1) < snakemake.config["plotting"]["energy_threshold"]
|
||||
df.abs().max(axis=1) < snakemake.params["plotting"]["energy_threshold"]
|
||||
]
|
||||
|
||||
logger.info(
|
||||
f"Dropping all technology with energy consumption or production below {snakemake.config['plotting']['energy_threshold']} TWh/a"
|
||||
f"Dropping all technology with energy consumption or production below {snakemake.params['plotting']['energy_threshold']} TWh/a"
|
||||
)
|
||||
logger.debug(df.loc[to_drop])
|
||||
|
||||
@ -227,7 +227,7 @@ def plot_energy():
|
||||
kind="bar",
|
||||
ax=ax,
|
||||
stacked=True,
|
||||
color=[snakemake.config["plotting"]["tech_colors"][i] for i in new_index],
|
||||
color=[snakemake.params["plotting"]["tech_colors"][i] for i in new_index],
|
||||
)
|
||||
|
||||
handles, labels = ax.get_legend_handles_labels()
|
||||
@ -237,8 +237,8 @@ def plot_energy():
|
||||
|
||||
ax.set_ylim(
|
||||
[
|
||||
snakemake.config["plotting"]["energy_min"],
|
||||
snakemake.config["plotting"]["energy_max"],
|
||||
snakemake.params["plotting"]["energy_min"],
|
||||
snakemake.params["plotting"]["energy_max"],
|
||||
]
|
||||
)
|
||||
|
||||
@ -287,7 +287,7 @@ def plot_balances():
|
||||
df = df.groupby(df.index.map(rename_techs)).sum()
|
||||
|
||||
to_drop = df.index[
|
||||
df.abs().max(axis=1) < snakemake.config["plotting"]["energy_threshold"] / 10
|
||||
df.abs().max(axis=1) < snakemake.params["plotting"]["energy_threshold"] / 10
|
||||
]
|
||||
|
||||
if v[0] in co2_carriers:
|
||||
@ -296,7 +296,7 @@ def plot_balances():
|
||||
units = "TWh/a"
|
||||
|
||||
logger.debug(
|
||||
f"Dropping technology energy balance smaller than {snakemake.config['plotting']['energy_threshold']/10} {units}"
|
||||
f"Dropping technology energy balance smaller than {snakemake.params['plotting']['energy_threshold']/10} {units}"
|
||||
)
|
||||
logger.debug(df.loc[to_drop])
|
||||
|
||||
@ -317,7 +317,7 @@ def plot_balances():
|
||||
kind="bar",
|
||||
ax=ax,
|
||||
stacked=True,
|
||||
color=[snakemake.config["plotting"]["tech_colors"][i] for i in new_index],
|
||||
color=[snakemake.params["plotting"]["tech_colors"][i] for i in new_index],
|
||||
)
|
||||
|
||||
handles, labels = ax.get_legend_handles_labels()
|
||||
@ -455,10 +455,10 @@ def plot_carbon_budget_distribution(input_eurostat):
|
||||
ax1 = plt.subplot(gs1[0, 0])
|
||||
ax1.set_ylabel("CO$_2$ emissions (Gt per year)", fontsize=22)
|
||||
ax1.set_ylim([0, 5])
|
||||
ax1.set_xlim([1990, snakemake.config["scenario"]["planning_horizons"][-1] + 1])
|
||||
ax1.set_xlim([1990, snakemake.params["scenario"]["planning_horizons"][-1] + 1])
|
||||
|
||||
path_cb = "results/" + snakemake.params.RDIR + "/csvs/"
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
e_1990 = co2_emissions_year(countries, input_eurostat, opts, year=1990)
|
||||
CO2_CAP = pd.read_csv(path_cb + "carbon_budget_distribution.csv", index_col=0)
|
||||
|
||||
@ -545,7 +545,7 @@ if __name__ == "__main__":
|
||||
|
||||
snakemake = mock_snakemake("plot_summary")
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
n_header = 4
|
||||
|
||||
@ -555,7 +555,7 @@ if __name__ == "__main__":
|
||||
|
||||
plot_balances()
|
||||
|
||||
for sector_opts in snakemake.config["scenario"]["sector_opts"]:
|
||||
for sector_opts in snakemake.params["scenario"]["sector_opts"]:
|
||||
opts = sector_opts.split("-")
|
||||
for o in opts:
|
||||
if "cb" in o:
|
||||
|
@ -253,12 +253,12 @@ if __name__ == "__main__":
|
||||
Nyears = n.snapshot_weightings.objective.sum() / 8760.0
|
||||
costs = load_costs(
|
||||
snakemake.input.tech_costs,
|
||||
snakemake.config["costs"],
|
||||
snakemake.config["electricity"],
|
||||
snakemake.params["costs"],
|
||||
snakemake.params["electricity"],
|
||||
Nyears,
|
||||
)
|
||||
|
||||
set_line_s_max_pu(n, snakemake.config["lines"]["s_max_pu"])
|
||||
set_line_s_max_pu(n, snakemake.params["lines"]["s_max_pu"])
|
||||
|
||||
for o in opts:
|
||||
m = re.match(r"^\d+h$", o, re.IGNORECASE)
|
||||
@ -269,7 +269,7 @@ if __name__ == "__main__":
|
||||
for o in opts:
|
||||
m = re.match(r"^\d+seg$", o, re.IGNORECASE)
|
||||
if m is not None:
|
||||
solver_name = snakemake.config["solving"]["solver"]["name"]
|
||||
solver_name = snakemake.params["solving"]["solver"]["name"]
|
||||
n = apply_time_segmentation(n, m.group(0)[:-3], solver_name)
|
||||
break
|
||||
|
||||
@ -277,11 +277,11 @@ if __name__ == "__main__":
|
||||
if "Co2L" in o:
|
||||
m = re.findall("[0-9]*\.?[0-9]+$", o)
|
||||
if len(m) > 0:
|
||||
co2limit = float(m[0]) * snakemake.config["electricity"]["co2base"]
|
||||
co2limit = float(m[0]) * snakemake.params["electricity"]["co2base"]
|
||||
add_co2limit(n, co2limit, Nyears)
|
||||
logger.info("Setting CO2 limit according to wildcard value.")
|
||||
else:
|
||||
add_co2limit(n, snakemake.config["electricity"]["co2limit"], Nyears)
|
||||
add_co2limit(n, snakemake.params["electricity"]["co2limit"], Nyears)
|
||||
logger.info("Setting CO2 limit according to config value.")
|
||||
break
|
||||
|
||||
@ -293,7 +293,7 @@ if __name__ == "__main__":
|
||||
add_gaslimit(n, limit, Nyears)
|
||||
logger.info("Setting gas usage limit according to wildcard value.")
|
||||
else:
|
||||
add_gaslimit(n, snakemake.config["electricity"].get("gaslimit"), Nyears)
|
||||
add_gaslimit(n, snakemake.params["electricity"].get("gaslimit"), Nyears)
|
||||
logger.info("Setting gas usage limit according to config value.")
|
||||
break
|
||||
|
||||
@ -322,7 +322,7 @@ if __name__ == "__main__":
|
||||
add_emission_prices(n, dict(co2=float(m[0])))
|
||||
else:
|
||||
logger.info("Setting emission prices according to config value.")
|
||||
add_emission_prices(n, snakemake.config["costs"]["emission_prices"])
|
||||
add_emission_prices(n, snakemake.params["costs"]["emission_prices"])
|
||||
break
|
||||
|
||||
ll_type, factor = snakemake.wildcards.ll[0], snakemake.wildcards.ll[1:]
|
||||
@ -330,8 +330,8 @@ if __name__ == "__main__":
|
||||
|
||||
set_line_nom_max(
|
||||
n,
|
||||
s_nom_max_set=snakemake.config["lines"].get("s_nom_max,", np.inf),
|
||||
p_nom_max_set=snakemake.config["links"].get("p_nom_max,", np.inf),
|
||||
s_nom_max_set=snakemake.params["lines"].get("s_nom_max,", np.inf),
|
||||
p_nom_max_set=snakemake.params["links"].get("p_nom_max,", np.inf),
|
||||
)
|
||||
|
||||
if "ATK" in opts:
|
||||
|
@ -200,12 +200,12 @@ def co2_emissions_year(
|
||||
"""
|
||||
Calculate CO2 emissions in one specific year (e.g. 1990 or 2018).
|
||||
"""
|
||||
emissions_scope = snakemake.config["energy"]["emissions"]
|
||||
emissions_scope = snakemake.params["energy"]["emissions"]
|
||||
eea_co2 = build_eea_co2(snakemake.input.co2, year, emissions_scope)
|
||||
|
||||
# TODO: read Eurostat data from year > 2014
|
||||
# this only affects the estimation of CO2 emissions for BA, RS, AL, ME, MK
|
||||
report_year = snakemake.config["energy"]["eurostat_report_year"]
|
||||
report_year = snakemake.params["energy"]["eurostat_report_year"]
|
||||
if year > 2014:
|
||||
eurostat_co2 = build_eurostat_co2(
|
||||
input_eurostat, countries, report_year, year=2014
|
||||
@ -241,7 +241,7 @@ def build_carbon_budget(o, input_eurostat, fn, emissions_scope, report_year):
|
||||
carbon_budget = float(o[o.find("cb") + 2 : o.find("ex")])
|
||||
r = float(o[o.find("ex") + 2 :])
|
||||
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
|
||||
e_1990 = co2_emissions_year(
|
||||
countries, input_eurostat, opts, emissions_scope, report_year, year=1990
|
||||
@ -252,7 +252,7 @@ def build_carbon_budget(o, input_eurostat, fn, emissions_scope, report_year):
|
||||
countries, input_eurostat, opts, emissions_scope, report_year, year=2018
|
||||
)
|
||||
|
||||
planning_horizons = snakemake.config["scenario"]["planning_horizons"]
|
||||
planning_horizons = snakemake.params["scenario"]["planning_horizons"]
|
||||
t_0 = planning_horizons[0]
|
||||
|
||||
if "be" in o:
|
||||
@ -391,7 +391,7 @@ def update_wind_solar_costs(n, costs):
|
||||
with xr.open_dataset(profile) as ds:
|
||||
underwater_fraction = ds["underwater_fraction"].to_pandas()
|
||||
connection_cost = (
|
||||
snakemake.config["lines"]["length_factor"]
|
||||
snakemake.params["lines"]["length_factor"]
|
||||
* ds["average_distance"].to_pandas()
|
||||
* (
|
||||
underwater_fraction
|
||||
@ -483,8 +483,8 @@ def remove_elec_base_techs(n):
|
||||
batteries and H2) from base electricity-only network, since they're added
|
||||
here differently using links.
|
||||
"""
|
||||
for c in n.iterate_components(snakemake.config["pypsa_eur"]):
|
||||
to_keep = snakemake.config["pypsa_eur"][c.name]
|
||||
for c in n.iterate_components(snakemake.params["pypsa_eur"]):
|
||||
to_keep = snakemake.params["pypsa_eur"][c.name]
|
||||
to_remove = pd.Index(c.df.carrier.unique()).symmetric_difference(to_keep)
|
||||
if to_remove.empty:
|
||||
continue
|
||||
@ -674,7 +674,7 @@ def add_dac(n, costs):
|
||||
def add_co2limit(n, nyears=1.0, limit=0.0):
|
||||
logger.info(f"Adding CO2 budget limit as per unit of 1990 levels of {limit}")
|
||||
|
||||
countries = snakemake.config["countries"]
|
||||
countries = snakemake.params["countries"]
|
||||
|
||||
sectors = emission_sectors_from_opts(opts)
|
||||
|
||||
@ -787,7 +787,7 @@ def add_ammonia(n, costs):
|
||||
|
||||
nodes = pop_layout.index
|
||||
|
||||
cf_industry = snakemake.config["industry"]
|
||||
cf_industry = snakemake.params["industry"]
|
||||
|
||||
n.add("Carrier", "NH3")
|
||||
|
||||
@ -1102,7 +1102,7 @@ def add_storage_and_grids(n, costs):
|
||||
lifetime=costs.at["OCGT", "lifetime"],
|
||||
)
|
||||
|
||||
cavern_types = snakemake.config["sector"]["hydrogen_underground_storage_locations"]
|
||||
cavern_types = snakemake.params["sector"]["hydrogen_underground_storage_locations"]
|
||||
h2_caverns = pd.read_csv(snakemake.input.h2_cavern, index_col=0)
|
||||
|
||||
if not h2_caverns.empty and options["hydrogen_underground_storage"]:
|
||||
@ -3266,11 +3266,11 @@ if __name__ == "__main__":
|
||||
planning_horizons="2030",
|
||||
)
|
||||
|
||||
logging.basicConfig(level=snakemake.config["logging"]["level"])
|
||||
logging.basicConfig(level=snakemake.params["logging"]["level"])
|
||||
|
||||
update_config_with_sector_opts(snakemake.config, snakemake.wildcards.sector_opts)
|
||||
|
||||
options = snakemake.config["sector"]
|
||||
options = snakemake.params["sector"]
|
||||
|
||||
opts = snakemake.wildcards.sector_opts.split("-")
|
||||
|
||||
@ -3285,7 +3285,7 @@ if __name__ == "__main__":
|
||||
|
||||
costs = prepare_costs(
|
||||
snakemake.input.costs,
|
||||
snakemake.config["costs"],
|
||||
snakemake.params["costs"],
|
||||
nyears,
|
||||
)
|
||||
|
||||
@ -3297,10 +3297,10 @@ if __name__ == "__main__":
|
||||
|
||||
spatial = define_spatial(pop_layout.index, options)
|
||||
|
||||
if snakemake.config["foresight"] == "myopic":
|
||||
if snakemake.params["foresight"] == "myopic":
|
||||
add_lifetime_wind_solar(n, costs)
|
||||
|
||||
conventional = snakemake.config["existing_capacities"]["conventional_carriers"]
|
||||
conventional = snakemake.params["existing_capacities"]["conventional_carriers"]
|
||||
for carrier in conventional:
|
||||
add_carrier_buses(n, carrier)
|
||||
|
||||
@ -3365,19 +3365,19 @@ if __name__ == "__main__":
|
||||
if options["allam_cycle"]:
|
||||
add_allam(n, costs)
|
||||
|
||||
solver_name = snakemake.config["solving"]["solver"]["name"]
|
||||
solver_name = snakemake.params["solving"]["solver"]["name"]
|
||||
n = set_temporal_aggregation(n, opts, solver_name)
|
||||
|
||||
limit_type = "config"
|
||||
limit = get(snakemake.config["co2_budget"], investment_year)
|
||||
limit = get(snakemake.params["co2_budget"], investment_year)
|
||||
for o in opts:
|
||||
if "cb" not in o:
|
||||
continue
|
||||
limit_type = "carbon budget"
|
||||
fn = "results/" + snakemake.params.RDIR + "/csvs/carbon_budget_distribution.csv"
|
||||
if not os.path.exists(fn):
|
||||
emissions_scope = snakemake.config["energy"]["emissions"]
|
||||
report_year = snakemake.config["energy"]["eurostat_report_year"]
|
||||
emissions_scope = snakemake.params["energy"]["emissions"]
|
||||
report_year = snakemake.params["energy"]["eurostat_report_year"]
|
||||
build_carbon_budget(
|
||||
o, snakemake.input.eurostat, fn, emissions_scope, report_year
|
||||
)
|
||||
@ -3412,8 +3412,8 @@ if __name__ == "__main__":
|
||||
if options["electricity_grid_connection"]:
|
||||
add_electricity_grid_connection(n, costs)
|
||||
|
||||
first_year_myopic = (snakemake.config["foresight"] == "myopic") and (
|
||||
snakemake.config["scenario"]["planning_horizons"][0] == investment_year
|
||||
first_year_myopic = (snakemake.params["foresight"] == "myopic") and (
|
||||
snakemake.params["scenario"]["planning_horizons"][0] == investment_year
|
||||
)
|
||||
|
||||
if options.get("cluster_heat_buses", False) and not first_year_myopic:
|
||||
|
@ -53,7 +53,7 @@ if __name__ == "__main__":
|
||||
snakemake
|
||||
) # TODO Make logging compatible with progressbar (see PR #102)
|
||||
|
||||
if snakemake.config["tutorial"]:
|
||||
if snakemake.params["tutorial"]:
|
||||
url = "https://zenodo.org/record/3517921/files/pypsa-eur-tutorial-data-bundle.tar.xz"
|
||||
else:
|
||||
url = "https://zenodo.org/record/3517935/files/pypsa-eur-data-bundle.tar.xz"
|
||||
@ -63,7 +63,7 @@ if __name__ == "__main__":
|
||||
to_fn = Path(f"{rootpath}/data")
|
||||
|
||||
logger.info(f"Downloading databundle from '{url}'.")
|
||||
disable_progress = snakemake.config["run"].get("disable_progressbar", False)
|
||||
disable_progress = snakemake.params["run"].get("disable_progressbar", False)
|
||||
progress_retrieve(url, tarball_fn, disable=disable_progress)
|
||||
|
||||
logger.info("Extracting databundle.")
|
||||
|
@ -510,7 +510,7 @@ if __name__ == "__main__":
|
||||
|
||||
n = pypsa.Network(snakemake.input.network)
|
||||
|
||||
aggregation_strategies = snakemake.config["clustering"].get(
|
||||
aggregation_strategies = snakemake.params["clustering"].get(
|
||||
"aggregation_strategies", {}
|
||||
)
|
||||
# translate str entries of aggregation_strategies to pd.Series functions:
|
||||
@ -525,8 +525,8 @@ if __name__ == "__main__":
|
||||
|
||||
technology_costs = load_costs(
|
||||
snakemake.input.tech_costs,
|
||||
snakemake.config["costs"],
|
||||
snakemake.config["electricity"],
|
||||
snakemake.params["costs"],
|
||||
snakemake.params["electricity"],
|
||||
Nyears,
|
||||
)
|
||||
|
||||
@ -536,7 +536,7 @@ if __name__ == "__main__":
|
||||
|
||||
busmaps = [trafo_map, simplify_links_map]
|
||||
|
||||
cluster_config = snakemake.config["clustering"]["simplify_network"]
|
||||
cluster_config = snakemake.params["clustering"]["simplify_network"]
|
||||
if cluster_config.get("remove_stubs", True):
|
||||
n, stub_map = remove_stubs(
|
||||
n,
|
||||
|
@ -663,7 +663,7 @@ if __name__ == "__main__":
|
||||
if "sector_opts" in snakemake.wildcards.keys():
|
||||
opts += "-" + snakemake.wildcards.sector_opts
|
||||
opts = [o for o in opts.split("-") if o != ""]
|
||||
solve_opts = snakemake.config["solving"]["options"]
|
||||
solve_opts = snakemake.params["solving"]["options"]
|
||||
|
||||
np.random.seed(solve_opts.get("seed", 123))
|
||||
|
||||
|
@ -42,7 +42,7 @@ if __name__ == "__main__":
|
||||
|
||||
opts = (snakemake.wildcards.opts + "-" + snakemake.wildcards.sector_opts).split("-")
|
||||
opts = [o for o in opts if o != ""]
|
||||
solve_opts = snakemake.config["solving"]["options"]
|
||||
solve_opts = snakemake.params["solving"]["options"]
|
||||
|
||||
np.random.seed(solve_opts.get("seed", 123))
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user