# SPDX-FileCopyrightText: : 2023 The PyPSA-Eur Authors # # SPDX-License-Identifier: MIT if config["enable"].get("prepare_links_p_nom", False): rule prepare_links_p_nom: output: "data/links_p_nom.csv", log: LOGS + "prepare_links_p_nom.log", threads: 1 resources: mem_mb=1500, conda: "../envs/environment.yaml" script: "../scripts/prepare_links_p_nom.py" rule build_electricity_demand: params: snapshots=config["snapshots"], countries=config["countries"], load=config["load"], input: ancient("data/load_raw.csv"), output: RESOURCES + "load.csv", log: LOGS + "build_electricity_demand.log", resources: mem_mb=5000, conda: "../envs/environment.yaml" script: "../scripts/build_electricity_demand.py" rule build_powerplants: params: powerplants_filter=config["electricity"]["powerplants_filter"], custom_powerplants=config["electricity"]["custom_powerplants"], countries=config["countries"], input: base_network=RESOURCES + "networks/base.nc", custom_powerplants="data/custom_powerplants.csv", output: RESOURCES + "powerplants.csv", log: LOGS + "build_powerplants.log", threads: 1 resources: mem_mb=5000, conda: "../envs/environment.yaml" script: "../scripts/build_powerplants.py" rule base_network: params: countries=config["countries"], snapshots=config["snapshots"], input: eg_buses="data/entsoegridkit/buses.csv", eg_lines="data/entsoegridkit/lines.csv", eg_links="data/entsoegridkit/links.csv", eg_converters="data/entsoegridkit/converters.csv", eg_transformers="data/entsoegridkit/transformers.csv", parameter_corrections="data/parameter_corrections.yaml", links_p_nom="data/links_p_nom.csv", links_tyndp="data/links_tyndp.csv", country_shapes=RESOURCES + "country_shapes.geojson", offshore_shapes=RESOURCES + "offshore_shapes.geojson", europe_shape=RESOURCES + "europe_shape.geojson", output: RESOURCES + "networks/base.nc", log: LOGS + "base_network.log", benchmark: BENCHMARKS + "base_network" threads: 1 resources: mem_mb=1500, conda: "../envs/environment.yaml" script: "../scripts/base_network.py" rule build_shapes: params: countries=config["countries"], input: naturalearth=ancient("data/bundle/naturalearth/ne_10m_admin_0_countries.shp"), eez=ancient("data/bundle/eez/World_EEZ_v8_2014.shp"), nuts3=ancient("data/bundle/NUTS_2013_60M_SH/data/NUTS_RG_60M_2013.shp"), nuts3pop=ancient("data/bundle/nama_10r_3popgdp.tsv.gz"), nuts3gdp=ancient("data/bundle/nama_10r_3gdp.tsv.gz"), ch_cantons=ancient("data/bundle/ch_cantons.csv"), ch_popgdp=ancient("data/bundle/je-e-21.03.02.xls"), output: country_shapes=RESOURCES + "country_shapes.geojson", offshore_shapes=RESOURCES + "offshore_shapes.geojson", europe_shape=RESOURCES + "europe_shape.geojson", nuts3_shapes=RESOURCES + "nuts3_shapes.geojson", log: LOGS + "build_shapes.log", threads: 1 resources: mem_mb=1500, conda: "../envs/environment.yaml" script: "../scripts/build_shapes.py" rule build_bus_regions: params: countries=config["countries"], input: country_shapes=RESOURCES + "country_shapes.geojson", offshore_shapes=RESOURCES + "offshore_shapes.geojson", base_network=RESOURCES + "networks/base.nc", output: regions_onshore=RESOURCES + "regions_onshore.geojson", regions_offshore=RESOURCES + "regions_offshore.geojson", log: LOGS + "build_bus_regions.log", threads: 1 resources: mem_mb=1000, conda: "../envs/environment.yaml" script: "../scripts/build_bus_regions.py" if config["enable"].get("build_cutout", False): rule build_cutout: params: snapshots=config["snapshots"], cutouts=config["atlite"]["cutouts"], input: regions_onshore=RESOURCES + "regions_onshore.geojson", regions_offshore=RESOURCES + "regions_offshore.geojson", output: protected("cutouts/" + CDIR + "{cutout}.nc"), log: "logs/" + CDIR + "build_cutout/{cutout}.log", benchmark: "benchmarks/" + CDIR + "build_cutout_{cutout}" threads: ATLITE_NPROCESSES resources: mem_mb=ATLITE_NPROCESSES * 1000, conda: "../envs/environment.yaml" script: "../scripts/build_cutout.py" if config["enable"].get("build_natura_raster", False): rule build_natura_raster: input: natura=ancient("data/bundle/natura/Natura2000_end2015.shp"), cutouts=expand("cutouts/" + CDIR + "{cutouts}.nc", **config["atlite"]), output: RESOURCES + "natura.tiff", resources: mem_mb=5000, log: LOGS + "build_natura_raster.log", conda: "../envs/environment.yaml" script: "../scripts/build_natura_raster.py" rule build_ship_raster: input: ship_density="data/shipdensity_global.zip", cutouts=expand( "cutouts/" + CDIR + "{cutout}.nc", cutout=[ config["renewable"][k]["cutout"] for k in config["electricity"]["renewable_carriers"] ], ), output: RESOURCES + "shipdensity_raster.tif", log: LOGS + "build_ship_raster.log", resources: mem_mb=5000, benchmark: BENCHMARKS + "build_ship_raster" conda: "../envs/environment.yaml" script: "../scripts/build_ship_raster.py" rule build_renewable_profiles: params: renewable=config["renewable"], input: base_network=RESOURCES + "networks/base.nc", corine=ancient("data/bundle/corine/g250_clc06_V18_5.tif"), natura=lambda w: ( RESOURCES + "natura.tiff" if config["renewable"][w.technology]["natura"] else [] ), gebco=ancient( lambda w: ( "data/bundle/GEBCO_2014_2D.nc" if config["renewable"][w.technology].get("max_depth") else [] ) ), ship_density=lambda w: ( RESOURCES + "shipdensity_raster.tif" if "ship_threshold" in config["renewable"][w.technology].keys() else [] ), country_shapes=RESOURCES + "country_shapes.geojson", offshore_shapes=RESOURCES + "offshore_shapes.geojson", regions=lambda w: ( RESOURCES + "regions_onshore.geojson" if w.technology in ("onwind", "solar") else RESOURCES + "regions_offshore.geojson" ), cutout=lambda w: "cutouts/" + CDIR + config["renewable"][w.technology]["cutout"] + ".nc", output: profile=RESOURCES + "profile_{technology}.nc", log: LOGS + "build_renewable_profile_{technology}.log", benchmark: BENCHMARKS + "build_renewable_profiles_{technology}" threads: ATLITE_NPROCESSES resources: mem_mb=ATLITE_NPROCESSES * 5000, wildcard_constraints: technology="(?!hydro).*", # Any technology other than hydro conda: "../envs/environment.yaml" script: "../scripts/build_renewable_profiles.py" rule build_hydro_profile: params: hydro=config["renewable"]["hydro"], countries=config["countries"], input: country_shapes=RESOURCES + "country_shapes.geojson", eia_hydro_generation="data/eia_hydro_annual_generation.csv", cutout=f"cutouts/" + CDIR + config["renewable"]["hydro"]["cutout"] + ".nc", output: RESOURCES + "profile_hydro.nc", log: LOGS + "build_hydro_profile.log", resources: mem_mb=5000, conda: "../envs/environment.yaml" script: "../scripts/build_hydro_profile.py" if config["lines"]["dynamic_line_rating"]["activate"]: rule build_line_rating: input: base_network=RESOURCES + "networks/base.nc", cutout="cutouts/" + CDIR + config["lines"]["cutout"] + ".nc", output: output=RESOURCES + "networks/line_rating.nc", log: LOGS + "build_line_rating.log", benchmark: BENCHMARKS + "build_line_rating" threads: ATLITE_NPROCESSES resources: mem_mb=ATLITE_NPROCESSES * 1000, conda: "../envs/environment.yaml" script: "../scripts/build_line_rating.py" rule add_electricity: params: length_factor=config["lines"]["length_factor"], scaling_factor=config["load"]["scaling_factor"], countries=config["countries"], renewable=config["renewable"], electricity=config["electricity"], conventional=config.get("conventional", {}), costs=config["costs"], input: **{ f"profile_{tech}": RESOURCES + f"profile_{tech}.nc" for tech in config["electricity"]["renewable_carriers"] }, **{ f"conventional_{carrier}_{attr}": fn for carrier, d in config.get("conventional", {None: {}}).items() for attr, fn in d.items() if str(fn).startswith("data/") }, base_network=RESOURCES + "networks/base.nc", line_rating=RESOURCES + "networks/line_rating.nc" if config["lines"]["dynamic_line_rating"]["activate"] else RESOURCES + "networks/base.nc", tech_costs=COSTS, regions=RESOURCES + "regions_onshore.geojson", powerplants=RESOURCES + "powerplants.csv", hydro_capacities=ancient("data/bundle/hydro_capacities.csv"), geth_hydro_capacities="data/geth2015_hydro_capacities.csv", load=RESOURCES + "load.csv", nuts3_shapes=RESOURCES + "nuts3_shapes.geojson", output: RESOURCES + "networks/elec.nc", log: LOGS + "add_electricity.log", benchmark: BENCHMARKS + "add_electricity" threads: 1 resources: mem_mb=5000, conda: "../envs/environment.yaml" script: "../scripts/add_electricity.py" rule simplify_network: params: simplify_network=config["clustering"]["simplify_network"], aggregation_strategies=config["clustering"].get("aggregation_strategies", {}), focus_weights=config.get("focus_weights", None), renewable_carriers=config["electricity"]["renewable_carriers"], max_hours=config["electricity"]["max_hours"], length_factor=config["lines"]["length_factor"], p_max_pu=config["links"].get("p_max_pu", 1.0), costs=config["costs"], input: network=RESOURCES + "networks/elec.nc", tech_costs=COSTS, regions_onshore=RESOURCES + "regions_onshore.geojson", regions_offshore=RESOURCES + "regions_offshore.geojson", output: network=RESOURCES + "networks/elec_s{simpl}.nc", regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}.geojson", regions_offshore=RESOURCES + "regions_offshore_elec_s{simpl}.geojson", busmap=RESOURCES + "busmap_elec_s{simpl}.csv", connection_costs=RESOURCES + "connection_costs_s{simpl}.csv", log: LOGS + "simplify_network/elec_s{simpl}.log", benchmark: BENCHMARKS + "simplify_network/elec_s{simpl}" threads: 1 resources: mem_mb=4000, conda: "../envs/environment.yaml" script: "../scripts/simplify_network.py" rule cluster_network: params: cluster_network=config["clustering"]["cluster_network"], aggregation_strategies=config["clustering"].get("aggregation_strategies", {}), custom_busmap=config["enable"].get("custom_busmap", False), focus_weights=config.get("focus_weights", None), renewable_carriers=config["electricity"]["renewable_carriers"], conventional_carriers=config["electricity"].get("conventional_carriers", []), max_hours=config["electricity"]["max_hours"], length_factor=config["lines"]["length_factor"], costs=config["costs"], input: network=RESOURCES + "networks/elec_s{simpl}.nc", regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}.geojson", regions_offshore=RESOURCES + "regions_offshore_elec_s{simpl}.geojson", busmap=ancient(RESOURCES + "busmap_elec_s{simpl}.csv"), custom_busmap=( "data/custom_busmap_elec_s{simpl}_{clusters}.csv" if config["enable"].get("custom_busmap", False) else [] ), tech_costs=COSTS, output: network=RESOURCES + "networks/elec_s{simpl}_{clusters}.nc", regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson", regions_offshore=RESOURCES + "regions_offshore_elec_s{simpl}_{clusters}.geojson", busmap=RESOURCES + "busmap_elec_s{simpl}_{clusters}.csv", linemap=RESOURCES + "linemap_elec_s{simpl}_{clusters}.csv", log: LOGS + "cluster_network/elec_s{simpl}_{clusters}.log", benchmark: BENCHMARKS + "cluster_network/elec_s{simpl}_{clusters}" threads: 1 resources: mem_mb=6000, conda: "../envs/environment.yaml" script: "../scripts/cluster_network.py" rule add_extra_components: params: extendable_carriers=config["electricity"]["extendable_carriers"], max_hours=config["electricity"]["max_hours"], costs=config["costs"], input: network=RESOURCES + "networks/elec_s{simpl}_{clusters}.nc", tech_costs=COSTS, output: RESOURCES + "networks/elec_s{simpl}_{clusters}_ec.nc", log: LOGS + "add_extra_components/elec_s{simpl}_{clusters}.log", benchmark: BENCHMARKS + "add_extra_components/elec_s{simpl}_{clusters}_ec" threads: 1 resources: mem_mb=3000, conda: "../envs/environment.yaml" script: "../scripts/add_extra_components.py" rule prepare_network: params: links=config["links"], lines=config["lines"], co2base=config["electricity"]["co2base"], co2limit=config["electricity"]["co2limit"], gaslimit=config["electricity"].get("gaslimit"), max_hours=config["electricity"]["max_hours"], costs=config["costs"], input: RESOURCES + "networks/elec_s{simpl}_{clusters}_ec.nc", tech_costs=COSTS, output: RESOURCES + "networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", log: LOGS + "prepare_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.log", benchmark: (BENCHMARKS + "prepare_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}") threads: 1 resources: mem_mb=4000, conda: "../envs/environment.yaml" script: "../scripts/prepare_network.py"