# SPDX-FileCopyrightText: : 2017-2022 The PyPSA-Eur Authors # # SPDX-License-Identifier: MIT from os.path import normpath, exists from shutil import copyfile, move from snakemake.remote.HTTP import RemoteProvider as HTTPRemoteProvider HTTP = HTTPRemoteProvider() if not exists("config.yaml"): copyfile("config.default.yaml", "config.yaml") configfile: "config.yaml" run = config.get("run", {}) RDIR = run["name"] + "/" if run.get("name") else "" CDIR = RDIR if not run.get("shared_cutouts") else "" COSTS = "resources/" + RDIR + "costs.csv" ATLITE_NPROCESSES = config["atlite"].get("nprocesses", 4) wildcard_constraints: simpl="[a-zA-Z0-9]*|all", clusters="[0-9]+m?|all", ll="(v|c)([0-9\.]+|opt|all)|all", opts="[-+a-zA-Z0-9\.]*", rule cluster_all_networks: input: expand("networks/" + RDIR + "elec_s{simpl}_{clusters}.nc", **config["scenario"]), rule extra_components_all_networks: input: expand( "networks/" + RDIR + "elec_s{simpl}_{clusters}_ec.nc", **config["scenario"] ), rule prepare_all_networks: input: expand( "networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", **config["scenario"] ), rule solve_all_networks: input: expand( "results/networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", **config["scenario"] ), if config["enable"].get("prepare_links_p_nom", False): rule prepare_links_p_nom: output: "data/links_p_nom.csv", log: "logs/" + RDIR + "prepare_links_p_nom.log", threads: 1 resources: mem_mb=1500, script: "scripts/prepare_links_p_nom.py" datafiles = [ "ch_cantons.csv", "je-e-21.03.02.xls", "eez/World_EEZ_v8_2014.shp", "hydro_capacities.csv", "naturalearth/ne_10m_admin_0_countries.shp", "NUTS_2013_60M_SH/data/NUTS_RG_60M_2013.shp", "nama_10r_3popgdp.tsv.gz", "nama_10r_3gdp.tsv.gz", "corine/g250_clc06_V18_5.tif", ] if not config.get("tutorial", False): datafiles.extend(["natura/Natura2000_end2015.shp", "GEBCO_2014_2D.nc"]) if config["enable"].get("retrieve_databundle", True): rule retrieve_databundle: output: expand("data/bundle/{file}", file=datafiles), log: "logs/" + RDIR + "retrieve_databundle.log", resources: mem_mb=1000, script: "scripts/retrieve_databundle.py" rule retrieve_load_data: input: HTTP.remote( "data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv", keep_local=True, static=True, ), output: "data/load_raw.csv", resources: mem_mb=5000, run: move(input[0], output[0]) rule build_load_data: input: "data/load_raw.csv", output: "resources/" + RDIR + "load.csv", log: "logs/" + RDIR + "build_load_data.log", resources: mem_mb=5000, script: "scripts/build_load_data.py" rule build_powerplants: input: base_network="networks/" + RDIR + "base.nc", custom_powerplants="data/custom_powerplants.csv", output: "resources/" + RDIR + "powerplants.csv", log: "logs/" + RDIR + "build_powerplants.log", threads: 1 resources: mem_mb=5000, script: "scripts/build_powerplants.py" rule base_network: 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/" + RDIR + "country_shapes.geojson", offshore_shapes="resources/" + RDIR + "offshore_shapes.geojson", europe_shape="resources/" + RDIR + "europe_shape.geojson", output: "networks/" + RDIR + "base.nc", log: "logs/" + RDIR + "base_network.log", benchmark: "benchmarks/" + RDIR + "base_network" threads: 1 resources: mem_mb=1500, script: "scripts/base_network.py" rule build_shapes: input: naturalearth="data/bundle/naturalearth/ne_10m_admin_0_countries.shp", eez="data/bundle/eez/World_EEZ_v8_2014.shp", nuts3="data/bundle/NUTS_2013_60M_SH/data/NUTS_RG_60M_2013.shp", nuts3pop="data/bundle/nama_10r_3popgdp.tsv.gz", nuts3gdp="data/bundle/nama_10r_3gdp.tsv.gz", ch_cantons="data/bundle/ch_cantons.csv", ch_popgdp="data/bundle/je-e-21.03.02.xls", output: country_shapes="resources/" + RDIR + "country_shapes.geojson", offshore_shapes="resources/" + RDIR + "offshore_shapes.geojson", europe_shape="resources/" + RDIR + "europe_shape.geojson", nuts3_shapes="resources/" + RDIR + "nuts3_shapes.geojson", log: "logs/" + RDIR + "build_shapes.log", threads: 1 resources: mem_mb=1500, script: "scripts/build_shapes.py" rule build_bus_regions: input: country_shapes="resources/" + RDIR + "country_shapes.geojson", offshore_shapes="resources/" + RDIR + "offshore_shapes.geojson", base_network="networks/" + RDIR + "base.nc", output: regions_onshore="resources/" + RDIR + "regions_onshore.geojson", regions_offshore="resources/" + RDIR + "regions_offshore.geojson", log: "logs/" + RDIR + "build_bus_regions.log", threads: 1 resources: mem_mb=1000, script: "scripts/build_bus_regions.py" if config["enable"].get("build_cutout", False): rule build_cutout: input: regions_onshore="resources/" + RDIR + "regions_onshore.geojson", regions_offshore="resources/" + RDIR + "regions_offshore.geojson", output: "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, script: "scripts/build_cutout.py" if config["enable"].get("retrieve_cutout", True): rule retrieve_cutout: input: HTTP.remote( "zenodo.org/record/6382570/files/{cutout}.nc", keep_local=True, static=True, ), output: "cutouts/" + CDIR + "{cutout}.nc", log: "logs/" + CDIR + "retrieve_cutout_{cutout}.log", resources: mem_mb=5000, run: move(input[0], output[0]) if config["enable"].get("retrieve_cost_data", True): rule retrieve_cost_data: input: HTTP.remote( f"raw.githubusercontent.com/PyPSA/technology-data/{config['costs']['version']}/outputs/costs_{config['costs']['year']}.csv", keep_local=True, ), output: COSTS, log: "logs/" + RDIR + "retrieve_cost_data.log", resources: mem_mb=5000, run: move(input[0], output[0]) if config["enable"].get("build_natura_raster", False): rule build_natura_raster: input: natura="data/bundle/natura/Natura2000_end2015.shp", cutouts=expand("cutouts/" + CDIR + "{cutouts}.nc", **config["atlite"]), output: "resources/" + RDIR + "natura.tiff", resources: mem_mb=5000, log: "logs/" + RDIR + "build_natura_raster.log", script: "scripts/build_natura_raster.py" if config["enable"].get("retrieve_natura_raster", True): rule retrieve_natura_raster: input: HTTP.remote( "zenodo.org/record/4706686/files/natura.tiff", keep_local=True, static=True, ), output: "resources/" + RDIR + "natura.tiff", resources: mem_mb=5000, run: move(input[0], output[0]) rule retrieve_ship_raster: input: HTTP.remote( "https://zenodo.org/record/6953563/files/shipdensity_global.zip", keep_local=True, static=True, ), output: "data/shipdensity_global.zip", resources: mem_mb=5000, run: move(input[0], output[0]) rule build_ship_raster: input: ship_density="data/shipdensity_global.zip", cutouts=expand("cutouts/" + CDIR + "{cutouts}.nc", **config["atlite"]), output: "resources/" + RDIR + "shipdensity_raster.nc", log: "logs/" + RDIR + "build_ship_raster.log", resources: mem_mb=5000, benchmark: "benchmarks/" + RDIR + "build_ship_raster" script: "scripts/build_ship_raster.py" rule build_renewable_profiles: input: base_network="networks/" + RDIR + "base.nc", corine="data/bundle/corine/g250_clc06_V18_5.tif", natura=lambda w: ( "resources/" + RDIR + "natura.tiff" if config["renewable"][w.technology]["natura"] else [] ), gebco=lambda w: ( "data/bundle/GEBCO_2014_2D.nc" if "max_depth" in config["renewable"][w.technology].keys() else [] ), ship_density=lambda w: ( "resources/" + RDIR + "shipdensity_raster.nc" if "ship_threshold" in config["renewable"][w.technology].keys() else [] ), country_shapes="resources/" + RDIR + "country_shapes.geojson", offshore_shapes="resources/" + RDIR + "offshore_shapes.geojson", regions=lambda w: ( "resources/" + RDIR + "regions_onshore.geojson" if w.technology in ("onwind", "solar") else "resources/" + RDIR + "regions_offshore.geojson" ), cutout=lambda w: "cutouts/" + CDIR + config["renewable"][w.technology]["cutout"] + ".nc", output: profile="resources/" + RDIR + "profile_{technology}.nc", log: "logs/" + RDIR + "build_renewable_profile_{technology}.log", benchmark: "benchmarks/" + RDIR + "build_renewable_profiles_{technology}" threads: ATLITE_NPROCESSES resources: mem_mb=ATLITE_NPROCESSES * 5000, wildcard_constraints: technology="(?!hydro).*", # Any technology other than hydro script: "scripts/build_renewable_profiles.py" rule build_hydro_profile: input: country_shapes="resources/" + RDIR + "country_shapes.geojson", eia_hydro_generation="data/eia_hydro_annual_generation.csv", cutout=f"cutouts/" + CDIR + config["renewable"]["hydro"]["cutout"] + ".nc" if "hydro" in config["renewable"] else [], output: "resources/" + RDIR + "profile_hydro.nc", log: "logs/" + RDIR + "build_hydro_profile.log", resources: mem_mb=5000, script: "scripts/build_hydro_profile.py" rule add_electricity: input: **{ f"profile_{tech}": "resources/" + RDIR + f"profile_{tech}.nc" for tech in config["renewable"] }, **{ 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="networks/" + RDIR + "base.nc", tech_costs=COSTS, regions="resources/" + RDIR + "regions_onshore.geojson", powerplants="resources/" + RDIR + "powerplants.csv", hydro_capacities="data/bundle/hydro_capacities.csv", geth_hydro_capacities="data/geth2015_hydro_capacities.csv", load="resources/" + RDIR + "load.csv", nuts3_shapes="resources/" + RDIR + "nuts3_shapes.geojson", output: "networks/" + RDIR + "elec.nc", log: "logs/" + RDIR + "add_electricity.log", benchmark: "benchmarks/" + RDIR + "add_electricity" threads: 1 resources: mem_mb=5000, script: "scripts/add_electricity.py" rule simplify_network: input: network="networks/" + RDIR + "elec.nc", tech_costs=COSTS, regions_onshore="resources/" + RDIR + "regions_onshore.geojson", regions_offshore="resources/" + RDIR + "regions_offshore.geojson", output: network="networks/" + RDIR + "elec_s{simpl}.nc", regions_onshore="resources/" + RDIR + "regions_onshore_elec_s{simpl}.geojson", regions_offshore="resources/" + RDIR + "regions_offshore_elec_s{simpl}.geojson", busmap="resources/" + RDIR + "busmap_elec_s{simpl}.csv", connection_costs="resources/" + RDIR + "connection_costs_s{simpl}.csv", log: "logs/" + RDIR + "simplify_network/elec_s{simpl}.log", benchmark: "benchmarks/" + RDIR + "simplify_network/elec_s{simpl}" threads: 1 resources: mem_mb=4000, script: "scripts/simplify_network.py" rule cluster_network: input: network="networks/" + RDIR + "elec_s{simpl}.nc", regions_onshore="resources/" + RDIR + "regions_onshore_elec_s{simpl}.geojson", regions_offshore="resources/" + RDIR + "regions_offshore_elec_s{simpl}.geojson", busmap=ancient("resources/" + RDIR + "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="networks/" + RDIR + "elec_s{simpl}_{clusters}.nc", regions_onshore="resources/" + RDIR + "regions_onshore_elec_s{simpl}_{clusters}.geojson", regions_offshore="resources/" + RDIR + "regions_offshore_elec_s{simpl}_{clusters}.geojson", busmap="resources/" + RDIR + "busmap_elec_s{simpl}_{clusters}.csv", linemap="resources/" + RDIR + "linemap_elec_s{simpl}_{clusters}.csv", log: "logs/" + RDIR + "cluster_network/elec_s{simpl}_{clusters}.log", benchmark: "benchmarks/" + RDIR + "cluster_network/elec_s{simpl}_{clusters}" threads: 1 resources: mem_mb=6000, script: "scripts/cluster_network.py" rule add_extra_components: input: network="networks/" + RDIR + "elec_s{simpl}_{clusters}.nc", tech_costs=COSTS, output: "networks/" + RDIR + "elec_s{simpl}_{clusters}_ec.nc", log: "logs/" + RDIR + "add_extra_components/elec_s{simpl}_{clusters}.log", benchmark: "benchmarks/" + RDIR + "add_extra_components/elec_s{simpl}_{clusters}_ec" threads: 1 resources: mem_mb=3000, script: "scripts/add_extra_components.py" rule prepare_network: input: "networks/" + RDIR + "elec_s{simpl}_{clusters}_ec.nc", tech_costs=COSTS, output: "networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", log: "logs/" + RDIR + "prepare_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.log", benchmark: ( "benchmarks/" + RDIR + "prepare_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}" ) threads: 1 resources: mem_mb=4000, script: "scripts/prepare_network.py" def memory(w): factor = 3.0 for o in w.opts.split("-"): m = re.match(r"^(\d+)h$", o, re.IGNORECASE) if m is not None: factor /= int(m.group(1)) break for o in w.opts.split("-"): m = re.match(r"^(\d+)seg$", o, re.IGNORECASE) if m is not None: factor *= int(m.group(1)) / 8760 break if w.clusters.endswith("m"): return int(factor * (18000 + 180 * int(w.clusters[:-1]))) elif w.clusters == "all": return int(factor * (18000 + 180 * 4000)) else: return int(factor * (10000 + 195 * int(w.clusters))) rule solve_network: input: "networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", output: "results/networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", log: solver=normpath( "logs/" + RDIR + "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_solver.log" ), python="logs/" + RDIR + "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_python.log", memory="logs/" + RDIR + "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_memory.log", benchmark: "benchmarks/" + RDIR + "solve_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}" threads: 4 resources: mem_mb=memory, shadow: "minimal" script: "scripts/solve_network.py" rule solve_operations_network: input: unprepared="networks/" + RDIR + "elec_s{simpl}_{clusters}_ec.nc", optimized="results/networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", output: "results/networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_op.nc", log: solver=normpath( "logs/" + RDIR + "solve_operations_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_op_solver.log" ), python="logs/" + RDIR + "solve_operations_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_op_python.log", memory="logs/" + RDIR + "solve_operations_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_op_memory.log", benchmark: ( "benchmarks/" + RDIR + "solve_operations_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}" ) threads: 4 resources: mem_mb=(lambda w: 5000 + 372 * int(w.clusters)), shadow: "minimal" script: "scripts/solve_operations_network.py" rule plot_network: input: network="results/networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", tech_costs=COSTS, output: only_map="results/plots/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{attr}.{ext}", ext="results/plots/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{attr}_ext.{ext}", log: "logs/" + RDIR + "plot_network/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{attr}_{ext}.log", script: "scripts/plot_network.py" def input_make_summary(w): # It's mildly hacky to include the separate costs input as first entry if w.ll.endswith("all"): ll = config["scenario"]["ll"] if len(w.ll) == 4: ll = [l for l in ll if l[0] == w.ll[0]] else: ll = w.ll return [COSTS] + expand( "results/networks/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc", ll=ll, **{ k: config["scenario"][k] if getattr(w, k) == "all" else getattr(w, k) for k in ["simpl", "clusters", "opts"] } ) rule make_summary: input: input_make_summary, output: directory( "results/summaries/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}" ), log: "logs/" + RDIR + "make_summary/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}.log", resources: mem_mb=1500, script: "scripts/make_summary.py" rule plot_summary: input: "results/summaries/" + RDIR + "elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}", output: "results/plots/" + RDIR + "summary_{summary}_elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}.{ext}", log: "logs/" + RDIR + "plot_summary/{summary}_elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{country}_{ext}.log", resources: mem_mb=1500, script: "scripts/plot_summary.py" def input_plot_p_nom_max(w): return [ ( "results/networks/" + RDIR + "elec_s{simpl}{maybe_cluster}.nc".format( maybe_cluster=("" if c == "full" else ("_" + c)), **w ) ) for c in w.clusts.split(",") ] rule plot_p_nom_max: input: input_plot_p_nom_max, output: "results/plots/" + RDIR + "elec_s{simpl}_cum_p_nom_max_{clusts}_{techs}_{country}.{ext}", log: "logs/" + RDIR + "plot_p_nom_max/elec_s{simpl}_{clusts}_{techs}_{country}_{ext}.log", resources: mem_mb=1500, script: "scripts/plot_p_nom_max.py"