build_*_profile(s): Move clip_p_min_pu into profile generation
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@ -72,12 +72,12 @@ renewable:
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distance_grid_codes: [1, 2, 3, 4, 5, 6]
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natura: true
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potential: conservative # or heuristic
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clip_p_max_pu: 1.e-2
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offwind-ac:
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cutout: europe-2013-era5
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resource:
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method: wind
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turbine: NREL_ReferenceTurbine_5MW_offshore
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# ScholzPhd Tab 4.3.1: 10MW/km^2
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capacity_per_sqkm: 3
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# correction_factor: 0.93
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corine: [44, 255]
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@ -85,6 +85,7 @@ renewable:
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max_depth: 50
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max_shore_distance: 80000
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potential: conservative # or heuristic
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clip_p_max_pu: 1.e-2
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offwind-dc:
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cutout: europe-2013-era5
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resource:
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@ -98,6 +99,7 @@ renewable:
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max_depth: 50
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min_shore_distance: 80000
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potential: conservative # or heuristic
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clip_p_max_pu: 1.e-2
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solar:
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cutout: europe-2013-sarah
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resource:
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@ -113,14 +115,14 @@ renewable:
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14, 15, 16, 17, 18, 19, 20, 26, 31, 32]
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natura: true
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potential: conservative # or heuristic
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clip_p_max_pu: 1.e-2
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hydro:
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cutout: europe-2013-era5
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carriers: [ror, PHS, hydro]
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PHS_max_hours: 6
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hydro_max_hours: "energy_capacity_totals_by_country" # one of energy_capacity_totals_by_country,
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# estimate_by_large_installations or a float
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clip_min_inflow: 1.0
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lines:
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types:
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220.: "Al/St 240/40 2-bundle 220.0"
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@ -166,7 +168,6 @@ costs:
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solving:
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options:
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formulation: kirchhoff
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clip_p_max_pu: 1.e-2
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load_shedding: true
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noisy_costs: true
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min_iterations: 4
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@ -9,7 +9,8 @@ import logging
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logger = logging.getLogger(__name__)
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logger.setLevel(level=snakemake.config['logging_level'])
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cutout = atlite.Cutout(snakemake.config['renewable']['hydro']['cutout'],
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config = snakemake.config['renewable']['hydro']
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cutout = atlite.Cutout(config['cutout'],
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cutout_dir=os.path.dirname(snakemake.input.cutout))
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countries = snakemake.config['countries']
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@ -22,4 +23,6 @@ inflow = cutout.runoff(shapes=country_shapes,
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lower_threshold_quantile=True,
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normalize_using_yearly=eia_stats)
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inflow.values[inflow.values < config.get('min_inflow', 1.)] = 0.
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inflow.to_netcdf(snakemake.output[0])
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@ -179,5 +179,10 @@ if __name__ == '__main__':
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ds['underwater_fraction'] = xr.DataArray(underwater_fraction, [buses])
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(ds.sel(bus=(ds['profile'].mean('time') > config.get('min_p_max_pu', 0.)) & (ds['p_nom_max'] > 0.))
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.to_netcdf(snakemake.output.profile))
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# select only buses with some capacity and minimal capacity factor
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ds = ds.sel(bus=((ds['profile'].mean('time') > config.get('min_p_max_pu', 0.)) &
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(ds['p_nom_max'] > config.get('min_p_nom_max', 0.))))
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ds['profile'].values[ds['profile'].values < config.get('clip_p_max_pu')] = 0.
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ds.to_netcdf(snakemake.output.profile)
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