[pre-commit.ci] auto fixes from pre-commit.com hooks
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@ -710,7 +710,7 @@ rule build_egs_potentials:
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input:
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egs_cost="data/egs_costs.json",
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regions=RESOURCES + "regions_onshore_elec_s{simpl}_{clusters}.geojson",
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air_temperature=RESOURCES + "temp_air_total_elec_s{simpl}_{clusters}.nc"
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air_temperature=RESOURCES + "temp_air_total_elec_s{simpl}_{clusters}.nc"
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if config["sector"]["enhanced_geothermal_var_cf"]
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else [],
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output:
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@ -22,10 +22,10 @@ logger = logging.getLogger(__name__)
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import json
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import geopandas as gpd
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import numpy as np
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import pandas as pd
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import xarray as xr
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import geopandas as gpd
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from shapely.geometry import Polygon
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@ -86,14 +86,12 @@ def prepare_egs_data(egs_file):
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return egs_data
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def get_capacity_factors(
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network_regions_file,
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air_temperatures_file
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):
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def get_capacity_factors(network_regions_file, air_temperatures_file):
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"""
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Performance of EGS is higher for lower temperatures, due to more efficient
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air cooling Data from Ricks et al.: The Role of Flexible Geothermal Power
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in Decarbonized Elec Systems.
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"""
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Performance of EGS is higher for lower temperatures, due to more efficient air cooling
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Data from Ricks et al.: The Role of Flexible Geothermal Power in Decarbonized Elec Systems
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"""
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delta_T = [-15, -10, -5, 0, 5, 10, 15, 20]
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cf = [1.17, 1.13, 1.07, 1, 0.925, 0.84, 0.75, 0.65]
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@ -123,9 +121,8 @@ def get_capacity_factors(
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for bus in index:
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temp = air_temp.sel(name=bus).to_dataframe()["temperature"]
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capacity_factors[bus] = np.interp((temp - temp.mean()).values, x, y)
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return capacity_factors
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return capacity_factors
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if __name__ == "__main__":
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@ -191,4 +188,4 @@ if __name__ == "__main__":
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snakemake.input["air_temperature"],
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)
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capacity_factors.to_csv(snakemake.output["egs_capacity_factors"])
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capacity_factors.to_csv(snakemake.output["egs_capacity_factors"])
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