def make_summaries(networks_dict):
outputs = [
"nodal_costs",
"nodal_capacities",
"nodal_cfs",
"cfs",
"costs",
"capacities",
"curtailment",
"energy",
"supply",
"supply_energy",
"prices",
"weighted_prices",
"price_statistics",
"market_values",
"metrics",
]
columns = pd.MultiIndex.from_tuples(
networks_dict.keys(),
names=["cluster", "lv", "opt", "planning_horizon"])
df = {}
for output in outputs:
df[output] = pd.DataFrame(columns=columns, dtype=float)
for label, filename in networks_dict.items():
print(label, filename)
overrides = override_component_attrs(snakemake.input.overrides)
n = pypsa.Network(filename, override_component_attrs=overrides)
assign_carriers(n)
assign_locations(n)
for output in outputs:
df[output] = globals()["calculate_" + output](n, label, df[output])
return df
snakemake = mock_snakemake(
'add_brownfield',
simpl='',
clusters="37",
opts="",
lv=1.0,
sector_opts='168H-T-H-B-I-solar+p3-dist1',
planning_horizons=2030,
)
print(snakemake.input.network_p)
logging.basicConfig(level=snakemake.config['logging_level'])
year = int(snakemake.wildcards.planning_horizons)
overrides = override_component_attrs(snakemake.input.overrides)
n = pypsa.Network(snakemake.input.network, override_component_attrs=overrides)
add_build_year_to_new_assets(n, year)
n_p = pypsa.Network(snakemake.input.network_p, override_component_attrs=overrides)
if year == 2050:
print('Emulating year 2060 instead of 2050 for existing capacity end of lifetime decommissioning')
add_brownfield(n, n_p, 2060)
else:
add_brownfield(n, n_p, year)
n.export_to_netcdf(snakemake.output[0])
