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hard pull build_powerplants from eu-security branch

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Fabian 2022-04-11 21:24:49 +02:00
parent 61ccaa495a
commit dad065f22f
1 changed files with 31 additions and 22 deletions
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53
scripts/build_powerplants.py
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@ -79,6 +79,7 @@ import powerplantmatching as pm
import pandas as pd import pandas as pd
import numpy as np import numpy as np
from powerplantmatching.export import map_country_bus
from scipy.spatial import cKDTree as KDTree from scipy.spatial import cKDTree as KDTree
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@ -87,13 +88,16 @@ logger = logging.getLogger(__name__)
def add_custom_powerplants(ppl, custom_powerplants, custom_ppl_query=False): def add_custom_powerplants(ppl, custom_powerplants, custom_ppl_query=False):
if not custom_ppl_query: if not custom_ppl_query:
return ppl return ppl
add_ppls = pd.read_csv(custom_powerplants, index_col=0, add_ppls = pd.read_csv(custom_powerplants, index_col=0, dtype={'bus': 'str'})
dtype={'bus': 'str'})
if isinstance(custom_ppl_query, str): if isinstance(custom_ppl_query, str):
add_ppls.query(custom_ppl_query, inplace=True) add_ppls.query(custom_ppl_query, inplace=True)
return pd.concat([ppl, add_ppls], sort=False, ignore_index=True, verify_integrity=True) return pd.concat([ppl, add_ppls], sort=False, ignore_index=True, verify_integrity=True)
def replace_natural_gas_by_technology(df):
return df.Fueltype.where(df.Fueltype != 'Natural Gas', df.Technology)
if __name__ == "__main__": if __name__ == "__main__":
if 'snakemake' not in globals(): if 'snakemake' not in globals():
from _helpers import mock_snakemake from _helpers import mock_snakemake
@ -103,16 +107,21 @@ if __name__ == "__main__":
n = pypsa.Network(snakemake.input.base_network) n = pypsa.Network(snakemake.input.base_network)
countries = n.buses.country.unique() countries = n.buses.country.unique()
ppl = (pm.powerplants(from_url=True) ppl = (pm.powerplants(from_url=True)
.powerplant.fill_missing_decommyears() .powerplant.fill_missing_decommissioning_years()
.powerplant.convert_country_to_alpha2() .powerplant.convert_country_to_alpha2()
.query('Fueltype not in ["Solar", "Wind"] and Country in @countries') .query('Fueltype not in ["Solar", "Wind"] and Country in @countries')
.replace({'Technology': {'Steam Turbine': 'OCGT'}}) .replace({'Technology': {'Steam Turbine': 'OCGT', "Combustion Engine": "OCGT"}})
.assign(Fueltype=lambda df: ( .assign(Fueltype=replace_natural_gas_by_technology))
df.Fueltype
.where(df.Fueltype != 'Natural Gas', # Correct bioenergy for countries where possible
df.Technology.replace('Steam Turbine', opsd = pm.data.OPSD_VRE().powerplant.convert_country_to_alpha2()
'OCGT').fillna('OCGT'))))) opsd = opsd.query('Country in @countries and Fueltype == "Bioenergy"')
opsd['Name'] = "Biomass"
available_countries = opsd.Country.unique()
ppl = ppl.query('not (Country in @available_countries and Fueltype == "Bioenergy")')
ppl = pd.concat([ppl, opsd])
ppl_query = snakemake.config['electricity']['powerplants_filter'] ppl_query = snakemake.config['electricity']['powerplants_filter']
if isinstance(ppl_query, str): if isinstance(ppl_query, str):
@ -122,21 +131,21 @@ if __name__ == "__main__":
custom_ppl_query = snakemake.config['electricity']['custom_powerplants'] custom_ppl_query = snakemake.config['electricity']['custom_powerplants']
ppl = add_custom_powerplants(ppl, snakemake.input.custom_powerplants, custom_ppl_query) ppl = add_custom_powerplants(ppl, snakemake.input.custom_powerplants, custom_ppl_query)
cntries_without_ppl = [c for c in countries if c not in ppl.Country.unique()] countries_wo_ppl = [c for c in countries if c not in ppl.Country.unique()]
if countries_wo_ppl:
logging.warning(f"No powerplants known in: {', '.join(countries_wo_ppl)}")
for c in countries: substations = n.buses.query('substation_lv')
substation_i = n.buses.query('substation_lv and country == @c').index ppl = map_country_bus(ppl, substations)
kdtree = KDTree(n.buses.loc[substation_i, ['x','y']].values)
ppl_i = ppl.query('Country == @c').index
tree_i = kdtree.query(ppl.loc[ppl_i, ['lon','lat']].values)[1]
ppl.loc[ppl_i, 'bus'] = substation_i.append(pd.Index([np.nan]))[tree_i]
if cntries_without_ppl:
logging.warning(f"No powerplants known in: {', '.join(cntries_without_ppl)}")
bus_null_b = ppl["bus"].isnull() bus_null_b = ppl["bus"].isnull()
if bus_null_b.any(): if bus_null_b.any():
logging.warning(f"Couldn't find close bus for {bus_null_b.sum()} powerplants") logging.warning(f"Couldn't find close bus for {bus_null_b.sum()} powerplants. "
"Removing them from the powerplants list.")
ppl = ppl[~bus_null_b]
ppl.to_csv(snakemake.output[0]) # TODO: This has to fixed in PPM, some powerplants are still duplicated
cumcount = ppl.groupby(['bus', 'Fueltype']).cumcount() + 1
ppl.Name = ppl.Name.where(cumcount == 1, ppl.Name + " " + cumcount.astype(str))
ppl.reset_index(drop=True).to_csv(snakemake.output[0])