pypsa-eur/Snakefile

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configfile: "config.yaml"
wildcard_constraints:
lv="[a-z0-9\.]+",
network="[a-zA-Z0-9]*",
simpl="[a-zA-Z0-9]*",
clusters="[0-9]+m?",
sectors="[+a-zA-Z0-9]+",
opts="[-+a-zA-Z0-9]*",
sector_opts="[-+a-zA-Z0-9\.\s]*"
subworkflow pypsaeur:
workdir: "../pypsa-eur"
snakefile: "../pypsa-eur/Snakefile"
configfile: "../pypsa-eur/config.yaml"
rule all:
input:
config['summary_dir'] + '/' + config['run'] + '/graphs/costs.pdf'
rule solve_all_networks:
input:
expand(config['results_dir'] + config['run'] + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc",
**config['scenario'])
rule prepare_sector_networks:
input:
expand(config['results_dir'] + config['run'] + "/prenetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc",
**config['scenario'])
rule build_population_layouts:
input:
nuts3_shapes=pypsaeur('resources/nuts3_shapes.geojson'),
urban_percent="data/urban_percent.csv"
output:
pop_layout_total="resources/pop_layout_total.nc",
pop_layout_urban="resources/pop_layout_urban.nc",
pop_layout_rural="resources/pop_layout_rural.nc"
resources: mem_mb=20000
script: "scripts/build_population_layouts.py"
rule build_clustered_population_layouts:
input:
pop_layout_total="resources/pop_layout_total.nc",
pop_layout_urban="resources/pop_layout_urban.nc",
pop_layout_rural="resources/pop_layout_rural.nc",
regions_onshore=pypsaeur('resources/regions_onshore_elec_s{simpl}_{clusters}.geojson')
output:
clustered_pop_layout="resources/pop_layout_elec_s{simpl}_{clusters}.csv"
resources: mem_mb=10000
script: "scripts/build_clustered_population_layouts.py"
rule build_simplified_population_layouts:
input:
pop_layout_total="resources/pop_layout_total.nc",
pop_layout_urban="resources/pop_layout_urban.nc",
pop_layout_rural="resources/pop_layout_rural.nc",
regions_onshore=pypsaeur('resources/regions_onshore_elec_s{simpl}.geojson')
output:
clustered_pop_layout="resources/pop_layout_elec_s{simpl}.csv"
resources: mem_mb=10000
script: "scripts/build_clustered_population_layouts.py"
rule build_heat_demands:
input:
pop_layout_total="resources/pop_layout_total.nc",
pop_layout_urban="resources/pop_layout_urban.nc",
pop_layout_rural="resources/pop_layout_rural.nc",
regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson")
output:
heat_demand_urban="resources/heat_demand_urban_elec_s{simpl}_{clusters}.nc",
heat_demand_rural="resources/heat_demand_rural_elec_s{simpl}_{clusters}.nc",
heat_demand_total="resources/heat_demand_total_elec_s{simpl}_{clusters}.nc"
resources: mem_mb=20000
script: "scripts/build_heat_demand.py"
rule build_temperature_profiles:
input:
pop_layout_total="resources/pop_layout_total.nc",
pop_layout_urban="resources/pop_layout_urban.nc",
pop_layout_rural="resources/pop_layout_rural.nc",
regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson")
output:
temp_soil_total="resources/temp_soil_total_elec_s{simpl}_{clusters}.nc",
temp_soil_rural="resources/temp_soil_rural_elec_s{simpl}_{clusters}.nc",
temp_soil_urban="resources/temp_soil_urban_elec_s{simpl}_{clusters}.nc",
temp_air_total="resources/temp_air_total_elec_s{simpl}_{clusters}.nc",
temp_air_rural="resources/temp_air_rural_elec_s{simpl}_{clusters}.nc",
temp_air_urban="resources/temp_air_urban_elec_s{simpl}_{clusters}.nc"
resources: mem_mb=20000
script: "scripts/build_temperature_profiles.py"
rule build_cop_profiles:
input:
temp_soil_total="resources/temp_soil_total_elec_s{simpl}_{clusters}.nc",
temp_soil_rural="resources/temp_soil_rural_elec_s{simpl}_{clusters}.nc",
temp_soil_urban="resources/temp_soil_urban_elec_s{simpl}_{clusters}.nc",
temp_air_total="resources/temp_air_total_elec_s{simpl}_{clusters}.nc",
temp_air_rural="resources/temp_air_rural_elec_s{simpl}_{clusters}.nc",
temp_air_urban="resources/temp_air_urban_elec_s{simpl}_{clusters}.nc"
output:
cop_soil_total="resources/cop_soil_total_elec_s{simpl}_{clusters}.nc",
cop_soil_rural="resources/cop_soil_rural_elec_s{simpl}_{clusters}.nc",
cop_soil_urban="resources/cop_soil_urban_elec_s{simpl}_{clusters}.nc",
cop_air_total="resources/cop_air_total_elec_s{simpl}_{clusters}.nc",
cop_air_rural="resources/cop_air_rural_elec_s{simpl}_{clusters}.nc",
cop_air_urban="resources/cop_air_urban_elec_s{simpl}_{clusters}.nc"
resources: mem_mb=20000
script: "scripts/build_cop_profiles.py"
rule build_solar_thermal_profiles:
input:
pop_layout_total="resources/pop_layout_total.nc",
pop_layout_urban="resources/pop_layout_urban.nc",
pop_layout_rural="resources/pop_layout_rural.nc",
regions_onshore=pypsaeur("resources/regions_onshore_elec_s{simpl}_{clusters}.geojson")
output:
solar_thermal_total="resources/solar_thermal_total_elec_s{simpl}_{clusters}.nc",
solar_thermal_urban="resources/solar_thermal_urban_elec_s{simpl}_{clusters}.nc",
solar_thermal_rural="resources/solar_thermal_rural_elec_s{simpl}_{clusters}.nc"
resources: mem_mb=20000
script: "scripts/build_solar_thermal_profiles.py"
rule build_energy_totals:
input:
nuts3_shapes=pypsaeur('resources/nuts3_shapes.geojson')
output:
energy_name='resources/energy_totals.csv',
co2_name='resources/co2_totals.csv',
transport_name='resources/transport_data.csv'
threads: 1
resources: mem_mb=10000
script: 'scripts/build_energy_totals.py'
rule build_biomass_potentials:
input:
jrc_potentials="data/biomass/JRC Biomass Potentials.xlsx"
output:
biomass_potentials_all='resources/biomass_potentials_all.csv',
biomass_potentials='resources/biomass_potentials.csv'
threads: 1
resources: mem_mb=1000
script: 'scripts/build_biomass_potentials.py'
rule build_ammonia_production:
input:
usgs="data/myb1-2017-nitro.xls"
output:
ammonia_production="resources/ammonia_production.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_ammonia_production.py'
rule build_industry_sector_ratios:
input:
ammonia_production="resources/ammonia_production.csv"
output:
industry_sector_ratios="resources/industry_sector_ratios.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industry_sector_ratios.py'
rule build_industrial_production_per_country:
input:
ammonia_production="resources/ammonia_production.csv"
output:
industrial_production_per_country="resources/industrial_production_per_country.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_production_per_country.py'
rule build_industrial_production_per_country_tomorrow:
input:
industrial_production_per_country="resources/industrial_production_per_country.csv"
output:
industrial_production_per_country_tomorrow="resources/industrial_production_per_country_tomorrow.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_production_per_country_tomorrow.py'
rule build_industrial_distribution_key:
input:
clustered_pop_layout="resources/pop_layout_elec_s{simpl}_{clusters}.csv",
europe_shape=pypsaeur('resources/europe_shape.geojson'),
hotmaps_industrial_database="data/Industrial_Database.csv",
network=pypsaeur('networks/elec_s{simpl}_{clusters}.nc')
output:
industrial_distribution_key="resources/industrial_distribution_key_elec_s{simpl}_{clusters}.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_distribution_key.py'
rule build_industrial_production_per_node:
input:
industrial_distribution_key="resources/industrial_distribution_key_elec_s{simpl}_{clusters}.csv",
industrial_production_per_country_tomorrow="resources/industrial_production_per_country_tomorrow.csv"
output:
industrial_production_per_node="resources/industrial_production_elec_s{simpl}_{clusters}.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_production_per_node.py'
rule build_industrial_energy_demand_per_node:
input:
industry_sector_ratios="resources/industry_sector_ratios.csv",
industrial_production_per_node="resources/industrial_production_elec_s{simpl}_{clusters}.csv",
industrial_energy_demand_per_node_today="resources/industrial_energy_demand_today_elec_s{simpl}_{clusters}.csv"
output:
industrial_energy_demand_per_node="resources/industrial_energy_demand_elec_s{simpl}_{clusters}.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_energy_demand_per_node.py'
rule build_industrial_energy_demand_per_country_today:
input:
ammonia_production="resources/ammonia_production.csv",
industrial_production_per_country="resources/industrial_production_per_country.csv"
output:
industrial_energy_demand_per_country_today="resources/industrial_energy_demand_per_country_today.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_energy_demand_per_country_today.py'
rule build_industrial_energy_demand_per_node_today:
input:
industrial_distribution_key="resources/industrial_distribution_key_elec_s{simpl}_{clusters}.csv",
industrial_energy_demand_per_country_today="resources/industrial_energy_demand_per_country_today.csv"
output:
industrial_energy_demand_per_node_today="resources/industrial_energy_demand_today_elec_s{simpl}_{clusters}.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_energy_demand_per_node_today.py'
rule build_industrial_energy_demand_per_country:
input:
industry_sector_ratios="resources/industry_sector_ratios.csv",
industrial_production_per_country="resources/industrial_production_per_country_tomorrow.csv"
output:
industrial_energy_demand_per_country="resources/industrial_energy_demand_per_country.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_energy_demand_per_country.py'
rule build_industrial_demand:
input:
clustered_pop_layout="resources/pop_layout_elec_s{simpl}_{clusters}.csv",
industrial_demand_per_country="resources/industrial_energy_demand_per_country.csv"
output:
industrial_demand="resources/industrial_demand_elec_s{simpl}_{clusters}.csv"
threads: 1
resources: mem_mb=1000
script: 'scripts/build_industrial_demand.py'
rule build_retro_cost:
input:
building_stock="data/retro/data_building_stock.csv",
data_tabula="data/retro/tabula-calculator-calcsetbuilding.csv",
air_temperature = "resources/temp_air_total_elec_s{simpl}_{clusters}.nc",
u_values_PL="data/retro/u_values_poland.csv",
tax_w="data/retro/electricity_taxes_eu.csv",
construction_index="data/retro/comparative_level_investment.csv",
floor_area_missing="data/retro/floor_area_missing.csv",
clustered_pop_layout="resources/pop_layout_elec_s{simpl}_{clusters}.csv",
cost_germany="data/retro/retro_cost_germany.csv",
window_assumptions="data/retro/window_assumptions.csv",
output:
retro_cost="resources/retro_cost_elec_s{simpl}_{clusters}.csv",
floor_area="resources/floor_area_elec_s{simpl}_{clusters}.csv"
resources: mem_mb=1000
script: "scripts/build_retro_cost.py"
rule prepare_sector_network:
input:
network=pypsaeur('networks/elec_s{simpl}_{clusters}_ec_lv{lv}_{opts}.nc'),
energy_totals_name='resources/energy_totals.csv',
co2_totals_name='resources/co2_totals.csv',
transport_name='resources/transport_data.csv',
traffic_data = "data/emobility/",
biomass_potentials='resources/biomass_potentials.csv',
timezone_mappings='data/timezone_mappings.csv',
heat_profile="data/heat_load_profile_BDEW.csv",
costs=config['costs_dir'] + "costs_{planning_horizons}.csv",
h2_cavern = "data/hydrogen_salt_cavern_potentials.csv",
profile_offwind_ac=pypsaeur("resources/profile_offwind-ac.nc"),
profile_offwind_dc=pypsaeur("resources/profile_offwind-dc.nc"),
busmap_s=pypsaeur("resources/busmap_elec_s{simpl}.csv"),
busmap=pypsaeur("resources/busmap_elec_s{simpl}_{clusters}.csv"),
clustered_pop_layout="resources/pop_layout_elec_s{simpl}_{clusters}.csv",
simplified_pop_layout="resources/pop_layout_elec_s{simpl}.csv",
industrial_demand="resources/industrial_energy_demand_elec_s{simpl}_{clusters}.csv",
heat_demand_urban="resources/heat_demand_urban_elec_s{simpl}_{clusters}.nc",
heat_demand_rural="resources/heat_demand_rural_elec_s{simpl}_{clusters}.nc",
heat_demand_total="resources/heat_demand_total_elec_s{simpl}_{clusters}.nc",
temp_soil_total="resources/temp_soil_total_elec_s{simpl}_{clusters}.nc",
temp_soil_rural="resources/temp_soil_rural_elec_s{simpl}_{clusters}.nc",
temp_soil_urban="resources/temp_soil_urban_elec_s{simpl}_{clusters}.nc",
temp_air_total="resources/temp_air_total_elec_s{simpl}_{clusters}.nc",
temp_air_rural="resources/temp_air_rural_elec_s{simpl}_{clusters}.nc",
temp_air_urban="resources/temp_air_urban_elec_s{simpl}_{clusters}.nc",
cop_soil_total="resources/cop_soil_total_elec_s{simpl}_{clusters}.nc",
cop_soil_rural="resources/cop_soil_rural_elec_s{simpl}_{clusters}.nc",
cop_soil_urban="resources/cop_soil_urban_elec_s{simpl}_{clusters}.nc",
cop_air_total="resources/cop_air_total_elec_s{simpl}_{clusters}.nc",
cop_air_rural="resources/cop_air_rural_elec_s{simpl}_{clusters}.nc",
cop_air_urban="resources/cop_air_urban_elec_s{simpl}_{clusters}.nc",
solar_thermal_total="resources/solar_thermal_total_elec_s{simpl}_{clusters}.nc",
solar_thermal_urban="resources/solar_thermal_urban_elec_s{simpl}_{clusters}.nc",
solar_thermal_rural="resources/solar_thermal_rural_elec_s{simpl}_{clusters}.nc",
retro_cost_energy = "resources/retro_cost_elec_s{simpl}_{clusters}.csv",
floor_area = "resources/floor_area_elec_s{simpl}_{clusters}.csv"
output: config['results_dir'] + config['run'] + '/prenetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc'
threads: 1
resources: mem_mb=2000
benchmark: config['results_dir'] + config['run'] + "/benchmarks/prepare_network/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}"
script: "scripts/prepare_sector_network.py"
rule plot_network:
input:
network=config['results_dir'] + config['run'] + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc"
output:
map=config['results_dir'] + config['run'] + "/maps/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}-costs-all_{planning_horizons}.pdf",
today=config['results_dir'] + config['run'] + "/maps/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}-today.pdf"
threads: 2
resources: mem_mb=10000
script: "scripts/plot_network.py"
rule copy_config:
output:
config=config['summary_dir'] + '/' + config['run'] + '/configs/config.yaml'
threads: 1
resources: mem_mb=1000
script:
'scripts/copy_config.py'
rule make_summary:
input:
networks=expand(config['results_dir'] + config['run'] + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc",
**config['scenario']),
costs=config['costs_dir'] + "costs_{}.csv".format(config['scenario']['planning_horizons'][0]),
plots=expand(config['results_dir'] + config['run'] + "/maps/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}-costs-all_{planning_horizons}.pdf",
**config['scenario'])
#heat_demand_name='data/heating/daily_heat_demand.h5'
output:
nodal_costs=config['summary_dir'] + '/' + config['run'] + '/csvs/nodal_costs.csv',
nodal_capacities=config['summary_dir'] + '/' + config['run'] + '/csvs/nodal_capacities.csv',
nodal_cfs=config['summary_dir'] + '/' + config['run'] + '/csvs/nodal_cfs.csv',
cfs=config['summary_dir'] + '/' + config['run'] + '/csvs/cfs.csv',
costs=config['summary_dir'] + '/' + config['run'] + '/csvs/costs.csv',
capacities=config['summary_dir'] + '/' + config['run'] + '/csvs/capacities.csv',
curtailment=config['summary_dir'] + '/' + config['run'] + '/csvs/curtailment.csv',
energy=config['summary_dir'] + '/' + config['run'] + '/csvs/energy.csv',
supply=config['summary_dir'] + '/' + config['run'] + '/csvs/supply.csv',
supply_energy=config['summary_dir'] + '/' + config['run'] + '/csvs/supply_energy.csv',
prices=config['summary_dir'] + '/' + config['run'] + '/csvs/prices.csv',
weighted_prices=config['summary_dir'] + '/' + config['run'] + '/csvs/weighted_prices.csv',
market_values=config['summary_dir'] + '/' + config['run'] + '/csvs/market_values.csv',
price_statistics=config['summary_dir'] + '/' + config['run'] + '/csvs/price_statistics.csv',
metrics=config['summary_dir'] + '/' + config['run'] + '/csvs/metrics.csv'
threads: 2
resources: mem_mb=10000
script:
'scripts/make_summary.py'
rule plot_summary:
input:
costs=config['summary_dir'] + '/' + config['run'] + '/csvs/costs.csv',
energy=config['summary_dir'] + '/' + config['run'] + '/csvs/energy.csv',
balances=config['summary_dir'] + '/' + config['run'] + '/csvs/supply_energy.csv'
output:
costs=config['summary_dir'] + '/' + config['run'] + '/graphs/costs.pdf',
energy=config['summary_dir'] + '/' + config['run'] + '/graphs/energy.pdf',
balances=config['summary_dir'] + '/' + config['run'] + '/graphs/balances-energy.pdf'
threads: 2
resources: mem_mb=10000
script:
'scripts/plot_summary.py'
if config["foresight"] == "overnight":
rule solve_network:
input:
network=config['results_dir'] + config['run'] + "/prenetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc",
costs=config['costs_dir'] + "costs_{planning_horizons}.csv",
config=config['summary_dir'] + '/' + config['run'] + '/configs/config.yaml'
output: config['results_dir'] + config['run'] + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc"
shadow: "shallow"
log:
solver=config['results_dir'] + config['run'] + "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}_solver.log",
python=config['results_dir'] + config['run'] + "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}_python.log",
memory=config['results_dir'] + config['run'] + "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}_memory.log"
benchmark: config['results_dir'] + config['run'] + "/benchmarks/solve_network/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}"
threads: 4
resources: mem_mb=config['solving']['mem']
# 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"
if config["foresight"] == "myopic":
rule add_existing_baseyear:
input:
network=config['results_dir'] + config['run'] + '/prenetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc',
powerplants=pypsaeur('resources/powerplants.csv'),
busmap_s=pypsaeur("resources/busmap_elec_s{simpl}.csv"),
busmap=pypsaeur("resources/busmap_elec_s{simpl}_{clusters}.csv"),
clustered_pop_layout="resources/pop_layout_elec_s{simpl}_{clusters}.csv",
costs=config['costs_dir'] + "costs_{}.csv".format(config['scenario']['planning_horizons'][0]),
cop_soil_total="resources/cop_soil_total_elec_s{simpl}_{clusters}.nc",
cop_air_total="resources/cop_air_total_elec_s{simpl}_{clusters}.nc"
output: config['results_dir'] + config['run'] + '/prenetworks-brownfield/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc'
wildcard_constraints:
planning_horizons=config['scenario']['planning_horizons'][0] #only applies to baseyear
threads: 1
resources: mem_mb=2000
script: "scripts/add_existing_baseyear.py"
def process_input(wildcards):
i = config["scenario"]["planning_horizons"].index(int(wildcards.planning_horizons))
return config['results_dir'] + config['run'] + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_" + str(config["scenario"]["planning_horizons"][i-1]) + ".nc"
rule add_brownfield:
input:
network=config['results_dir'] + config['run'] + '/prenetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc',
network_p=process_input, #solved network at previous time step
costs=config['costs_dir'] + "costs_{planning_horizons}.csv",
cop_soil_total="resources/cop_soil_total_elec_s{simpl}_{clusters}.nc",
cop_air_total="resources/cop_air_total_elec_s{simpl}_{clusters}.nc"
output: config['results_dir'] + config['run'] + "/prenetworks-brownfield/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc"
threads: 4
resources: mem_mb=10000
script: "scripts/add_brownfield.py"
ruleorder: add_existing_baseyear > add_brownfield
rule solve_network_myopic:
input:
network=config['results_dir'] + config['run'] + "/prenetworks-brownfield/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc",
costs=config['costs_dir'] + "costs_{planning_horizons}.csv",
config=config['summary_dir'] + '/' + config['run'] + '/configs/config.yaml'
output: config['results_dir'] + config['run'] + "/postnetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc"
shadow: "shallow"
log:
solver=config['results_dir'] + config['run'] + "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}_solver.log",
python=config['results_dir'] + config['run'] + "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}_python.log",
memory=config['results_dir'] + config['run'] + "/logs/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}_memory.log"
benchmark: config['results_dir'] + config['run'] + "/benchmarks/solve_network/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}"
threads: 4
resources: mem_mb=config['solving']['mem']
script: "scripts/solve_network.py"