configfile: "config.yaml" localrules: all # , extract_summaries, plot_network, scenario_comparions wildcard_constraints: lv="[0-9\.]+|inf", simpl="[a-zA-Z0-9]*", clusters="[0-9]+m?", sectors="[+a-zA-Z0-9]+", opts="[-+a-zA-Z0-9]*" # rule all: # input: "results/summaries/costs2-summary.csv" rule solve_all_elec_networks: input: expand("results/networks/elec_s{simpl}_{clusters}_lv{lv}_{opts}.nc", **config['scenario']) if config['enable']['prepare_links_p_nom']: rule prepare_links_p_nom: output: 'data/links_p_nom.csv' threads: 1 resources: mem=500 group: 'nonfeedin_preparation' script: 'scripts/prepare_links_p_nom.py' if config['enable']['powerplantmatching']: rule build_powerplants: input: base_network="networks/base.nc" output: "resources/powerplants.csv" threads: 1 resources: mem=500 group: 'nonfeedin_preparation' 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/country_shapes.geojson', offshore_shapes='resources/offshore_shapes.geojson', europe_shape='resources/europe_shape.geojson' output: "networks/base.nc" benchmark: "benchmarks/base_network" threads: 1 resources: mem=500 group: 'nonfeedin_preparation' 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/country_shapes.geojson', offshore_shapes='resources/offshore_shapes.geojson', europe_shape='resources/europe_shape.geojson', nuts3_shapes='resources/nuts3_shapes.geojson' threads: 1 resources: mem=500 group: 'nonfeedin_preparation' script: "scripts/build_shapes.py" rule build_bus_regions: input: country_shapes='resources/country_shapes.geojson', offshore_shapes='resources/offshore_shapes.geojson', base_network="networks/base.nc" output: regions_onshore="resources/regions_onshore.geojson", regions_offshore="resources/regions_offshore.geojson" resources: mem=1000 group: 'nonfeedin_preparation' script: "scripts/build_bus_regions.py" rule build_cutout: output: "cutouts/{cutout}" resources: mem=5000 threads: config['atlite'].get('nprocesses', 4) benchmark: "benchmarks/build_cutout_{cutout}" group: 'feedin_preparation' script: "scripts/build_cutout.py" def memory_build_renewable_potentials(wildcards): corine_config = config["renewable"][wildcards.technology]["corine"] return 12000 if corine_config.get("distance") is None else 24000 rule build_renewable_potentials: input: cutout=lambda wildcards: "cutouts/" + config["renewable"][wildcards.technology]['cutout'], corine="data/bundle/corine/g250_clc06_V18_5.tif", natura="data/bundle/natura/Natura2000_end2015.shp" output: "resources/potentials_{technology}.nc" resources: mem=memory_build_renewable_potentials benchmark: "benchmarks/build_renewable_potentials_{technology}" group: 'feedin_preparation' script: "scripts/build_renewable_potentials.py" rule build_renewable_profiles: input: base_network="networks/base.nc", potentials="resources/potentials_{technology}.nc", regions=lambda wildcards: ("resources/regions_onshore.geojson" if wildcards.technology in ('onwind', 'solar') else "resources/regions_offshore.geojson"), cutout=lambda wildcards: "cutouts/" + config["renewable"][wildcards.technology]['cutout'] output: profile="resources/profile_{technology}.nc", resources: mem=5000 benchmark: "benchmarks/build_renewable_profiles_{technology}" group: 'feedin_preparation' script: "scripts/build_renewable_profiles.py" rule build_hydro_profile: input: country_shapes='resources/country_shapes.geojson', eia_hydro_generation='data/bundle/EIA_hydro_generation_2000_2014.csv', cutout="cutouts/" + config["renewable"]['hydro']['cutout'] output: 'resources/profile_hydro.nc' resources: mem=5000 group: 'feedin_preparation' script: 'scripts/build_hydro_profile.py' rule add_electricity: input: base_network='networks/base.nc', tech_costs='data/costs.csv', regions="resources/regions_onshore.geojson", powerplants='resources/powerplants.csv', hydro_capacities='data/bundle/hydro_capacities.csv', opsd_load='data/bundle/time_series_60min_singleindex_filtered.csv', nuts3_shapes='resources/nuts3_shapes.geojson', **{'profile_' + t: "resources/profile_" + t + ".nc" for t in config['renewable']} output: "networks/elec.nc" benchmark: "benchmarks/add_electricity" threads: 1 resources: mem=3000 group: 'build_pypsa_networks' script: "scripts/add_electricity.py" rule simplify_network: input: network='networks/{network}.nc', regions_onshore="resources/regions_onshore.geojson", regions_offshore="resources/regions_offshore.geojson" output: network='networks/{network}_s{simpl}.nc', regions_onshore="resources/regions_onshore_{network}_s{simpl}.geojson", regions_offshore="resources/regions_offshore_{network}_s{simpl}.geojson", clustermaps='resources/clustermaps_{network}_s{simpl}.h5' benchmark: "benchmarks/simplify_network/{network}_s{simpl}" threads: 1 resources: mem=4000 group: 'build_pypsa_networks' script: "scripts/simplify_network.py" rule cluster_network: input: network='networks/{network}_s{simpl}.nc', regions_onshore="resources/regions_onshore_{network}_s{simpl}.geojson", regions_offshore="resources/regions_offshore_{network}_s{simpl}.geojson", clustermaps='resources/clustermaps_{network}_s{simpl}.h5' output: network='networks/{network}_s{simpl}_{clusters}.nc', regions_onshore="resources/regions_onshore_{network}_s{simpl}_{clusters}.geojson", regions_offshore="resources/regions_offshore_{network}_s{simpl}_{clusters}.geojson", clustermaps='resources/clustermaps_{network}_s{simpl}_{clusters}.h5' benchmark: "benchmarks/cluster_network/{network}_s{simpl}_{clusters}" threads: 1 resources: mem=3000 group: 'build_pypsa_networks' script: "scripts/cluster_network.py" # rule add_sectors: # input: # network="networks/elec_{cost}_{resarea}_{opts}.nc", # emobility="data/emobility" # output: "networks/sector_{cost}_{resarea}_{sectors}_{opts}.nc" # benchmark: "benchmarks/add_sectors/sector_{resarea}_{sectors}_{opts}" # threads: 1 # resources: mem=1000 # script: "scripts/add_sectors.py" rule prepare_network: input: 'networks/{network}_s{simpl}_{clusters}.nc' output: 'networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc' threads: 1 resources: mem=1000 benchmark: "benchmarks/prepare_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}" script: "scripts/prepare_network.py" def memory(w): if w.clusters.endswith('m'): return 18000 + 180 * int(w.clusters[:-1]) else: return 10000 + 190 * int(w.clusters) # return 4890+310 * int(w.clusters) rule solve_network: input: "networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc" output: "results/networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc" shadow: "shallow" log: solver="logs/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_solver.log", python="logs/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_python.log", memory="logs/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_memory.log" benchmark: "benchmarks/solve_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}" threads: 4 resources: mem=memory # group: "solve" # with group, threads is ignored https://bitbucket.org/snakemake/snakemake/issues/971/group-job-description-does-not-contain script: "scripts/solve_network.py" rule solve_operations_network: input: unprepared="networks/{network}_s{simpl}_{clusters}.nc", optimized="results/networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}.nc" output: "results/networks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_op.nc" shadow: "shallow" log: solver="logs/solve_operations_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_op_solver.log", python="logs/solve_operations_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_op_python.log", memory="logs/solve_operations_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_op_memory.log" benchmark: "benchmarks/solve_operations_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}" threads: 4 resources: mem=(lambda w: 5000 + 372 * int(w.clusters)) group: "solve_operations" script: "scripts/solve_operations_network.py" rule plot_network: input: network='results/networks/{cost}_{resarea}_{sectors}_{opts}.nc', supply_regions='data/supply_regions/supply_regions.shp', resarea=lambda w: config['data']['resarea'][w.resarea] output: 'results/plots/network_{cost}_{resarea}_{sectors}_{opts}_{attr}.pdf' script: "scripts/plot_network.py" # rule plot_costs: # input: 'results/summaries/costs2-summary.csv' # output: # expand('results/plots/costs_{cost}_{resarea}_{sectors}_{opt}', # **dict(chain(config['scenario'].items(), (('{param}'))) # touch('results/plots/scenario_plots') # params: # tmpl="results/plots/costs_[cost]_[resarea]_[sectors]_[opt]" # exts=["pdf", "png"] # scripts: "scripts/plot_costs.py" # rule scenario_comparison: # input: # expand('results/plots/network_{cost}_{sectors}_{opts}_{attr}.pdf', # version=config['version'], # attr=['p_nom'], # **config['scenario']) # output: # html='results/plots/scenario_{param}.html' # params: # tmpl="network_[cost]_[resarea]_[sectors]_[opts]_[attr]", # plot_dir='results/plots' # script: "scripts/scenario_comparison.py" # rule extract_summaries: # input: # expand("results/networks/{cost}_{sectors}_{opts}.nc", # **config['scenario']) # output: # **{n: "results/summaries/{}-summary.csv".format(n) # for n in ['costs', 'costs2', 'e_curtailed', 'e_nom_opt', 'e', 'p_nom_opt']} # params: # scenario_tmpl="[cost]_[resarea]_[sectors]_[opts]", # scenarios=config['scenario'] # script: "scripts/extract_summaries.py" # Local Variables: # mode: python # End: