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bugfix: access right config variables in build renewable profiles

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This commit is contained in:
Fabian Neumann 2022-02-01 08:51:47 +01:00
parent f6515a279a
commit 835bfc0f6a
1 changed files with 8 additions and 8 deletions
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16
scripts/build_renewable_profiles.py
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@ -206,12 +206,12 @@ if __name__ == '__main__':
noprogress = not snakemake.config['atlite'].get('show_progress', True)
config = snakemake.config['renewable'][snakemake.wildcards.technology]
resource = config['resource'] # pv panel config / wind turbine config
correction_factor = snakemake.config.get('correction_factor', 1.)
correction_factor = config.get('correction_factor', 1.)
capacity_per_sqkm = config['capacity_per_sqkm']
p_nom_max_meth = snakemake.config.get('potential', 'conservative')
p_nom_max_meth = config.get('potential', 'conservative')
if isinstance(config.get("corine", {}), list):
snakemake.config['corine'] = {'grid_codes': config['corine']}
config['corine'] = {'grid_codes': config['corine']}
if correction_factor != 1.:
logger.info(f'correction_factor is set as {correction_factor}')
@ -226,7 +226,7 @@ if __name__ == '__main__':
if config['natura']:
excluder.add_raster(snakemake.input.natura, nodata=0, allow_no_overlap=True)
corine = snakemake.config.get("corine", {})
corine = config.get("corine", {})
if "grid_codes" in corine:
codes = corine["grid_codes"]
excluder.add_raster(snakemake.input.corine, codes=codes, invert=True, crs=3035)
@ -326,11 +326,11 @@ if __name__ == '__main__':
ds['underwater_fraction'] = xr.DataArray(underwater_fraction, [buses])
# select only buses with some capacity and minimal capacity factor
ds = ds.sel(bus=((ds['profile'].mean('time') > snakemake.config.get('min_p_max_pu', 0.)) &
(ds['p_nom_max'] > snakemake.config.get('min_p_nom_max', 0.))))
ds = ds.sel(bus=((ds['profile'].mean('time') > config.get('min_p_max_pu', 0.)) &
(ds['p_nom_max'] > config.get('min_p_nom_max', 0.))))
if 'clip_p_max_pu' in snakemake.config:
min_p_max_pu = snakemake.config['clip_p_max_pu']
if 'clip_p_max_pu' in config:
min_p_max_pu = config['clip_p_max_pu']
ds['profile'] = ds['profile'].where(ds['profile'] >= min_p_max_pu, 0)
ds.to_netcdf(snakemake.output.profile)