107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
# coding: utf-8
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"""
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Retrieves conventional powerplant capacities and locations from `powerplantmatching <https://github.com/FRESNA/powerplantmatching>`_, assigns these to buses and creates a ``.csv`` file.
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Relevant Settings
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-----------------
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.. code:: yaml
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electricity:
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powerplants_filter:
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custom_powerplants:
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.. seealso::
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Documentation of the configuration file ``config.yaml`` at
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:ref:`toplevel_cf`
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Inputs
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------
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- ``networks/base.nc``: confer :ref:`base`.
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Outputs
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-------
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- ``resource/powerplants.csv``: A list of conventional power plants (i.e. neither wind nor solar) with fields for name, fuel type, technology, country, capacity in MW, duration, commissioning year, retrofit year, latitude, longitude, and dam information as documented in the `powerplantmatching README <https://github.com/FRESNA/powerplantmatching/blob/master/README.md>`_; additionally it includes information on the closest substation/bus in ``networks/base.nc``.
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.. image:: ../img/powerplantmatching.png
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:scale: 30 %
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**Source:** `powerplantmatching on GitHub <https://github.com/FRESNA/powerplantmatching>`_
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Description
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-----------
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"""
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import logging
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from scipy.spatial import cKDTree as KDTree
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import pypsa
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import powerplantmatching as pm
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import pandas as pd
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logger = logging.getLogger(__name__)
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def add_custom_powerplants(ppl):
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custom_ppl_query = snakemake.config['electricity']['custom_powerplants']
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if not custom_ppl_query:
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return ppl
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add_ppls = pd.read_csv(snakemake.input.custom_powerplants, index_col=0)
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if isinstance(custom_ppl_query, str):
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add_ppls.query(add_ppls, inplace=True)
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return ppl.append(add_ppls, sort=False)
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if __name__ == "__main__":
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if 'snakemake' not in globals():
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from vresutils.snakemake import MockSnakemake, Dict
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snakemake = MockSnakemake(
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input=Dict(base_network='networks/base.nc',
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custom_powerplants='data/custom_powerplants.csv'),
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output=['resources/powerplants.csv']
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)
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logging.basicConfig(level=snakemake.config['logging_level'])
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n = pypsa.Network(snakemake.input.base_network)
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countries = n.buses.country.unique()
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ppl = (pm.powerplants(from_url=True)
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.powerplant.convert_country_to_alpha2()
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.query('Fueltype not in ["Solar", "Wind"] and Country in @countries')
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.replace({'Technology': {'Steam Turbine': 'OCGT'}})
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.assign(Fueltype=lambda df: (
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df.Fueltype
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.where(df.Fueltype != 'Natural Gas',
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df.Technology.replace('Steam Turbine',
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'OCGT').fillna('OCGT')))))
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ppl_query = snakemake.config['electricity']['powerplants_filter']
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if isinstance(ppl_query, str):
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ppl.query(ppl_query, inplace=True)
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ppl = add_custom_powerplants(ppl) # add carriers from own powerplant files
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cntries_without_ppl = [c for c in countries if c not in ppl.Country.unique()]
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for c in countries:
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substation_i = n.buses.query('substation_lv and country == @c').index
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kdtree = KDTree(n.buses.loc[substation_i, ['x','y']].values)
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ppl_i = ppl.query('Country == @c').index
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ppl.loc[ppl_i, 'bus'] = substation_i[kdtree.query(ppl.loc[ppl_i,
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['lon','lat']].values)[1]]
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if cntries_without_ppl:
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logging.warning(f"No powerplants known in: {', '.join(cntries_without_ppl)}")
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bus_null_b = ppl["bus"].isnull()
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if bus_null_b.any():
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logging.warning(f"Couldn't find close bus for {bus_null_b.sum()} powerplants")
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ppl.to_csv(snakemake.output[0])
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