109 lines
2.6 KiB
Python
109 lines
2.6 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2023 Thomas Gilon (Climact)
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# SPDX-FileCopyrightText: : 2017-2023 The PyPSA-Eur Authors
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#
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# SPDX-License-Identifier: MIT
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"""
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This rule downloads the existing capacities from `IRENASTAT <https://www.irena.org/Data/Downloads/IRENASTAT>`_ and extracts it in the ``data/existing_capacities`` sub-directory.
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**Relevant Settings**
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.. code:: yaml
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enable:
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retrieve_irena:
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.. seealso::
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Documentation of the configuration file ``config.yaml`` at
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:ref:`enable_cf`
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**Outputs**
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- ``data/existing_capacities``: existing capacities for offwind, onwind and solar
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"""
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import logging
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import pandas as pd
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from _helpers import configure_logging, set_scenario_config
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logger = logging.getLogger(__name__)
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REGIONS = [
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"Albania",
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"Austria",
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"Belgium",
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"Bosnia and Herzegovina",
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"Bulgaria",
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"Croatia",
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"Czechia",
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"Denmark",
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"Estonia",
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"Finland",
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"France",
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"Germany",
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"Greece",
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"Hungary",
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"Ireland",
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"Italy",
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"Latvia",
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"Lithuania",
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"Luxembourg",
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"Montenegro",
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# "Netherlands",
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"Netherlands (Kingdom of the)",
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"North Macedonia",
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"Norway",
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"Poland",
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"Portugal",
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"Romania",
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"Serbia",
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"Slovakia",
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"Slovenia",
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"Spain",
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"Sweden",
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"Switzerland",
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# "United Kingdom",
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"United Kingdom of Great Britain and Northern Ireland (the)",
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]
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REGIONS_DICT = {
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"Bosnia and Herzegovina": "Bosnia Herzg",
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"Netherlands (Kingdom of the)": "Netherlands",
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"United Kingdom of Great Britain and Northern Ireland (the)": "UK",
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}
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if __name__ == "__main__":
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if "snakemake" not in globals():
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from _helpers import mock_snakemake
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snakemake = mock_snakemake("retrieve_irena")
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configure_logging(snakemake)
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set_scenario_config(snakemake)
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irena_raw = pd.read_csv(
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"https://pxweb.irena.org:443/sq/99e64b12-fe03-4a7b-92ea-a22cc3713b92",
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skiprows=2,
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index_col=[0, 1, 3],
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encoding="latin-1",
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)
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var = "Installed electricity capacity (MW)"
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irena = irena_raw[var].unstack(level=2).reset_index(level=1).replace(0, "")
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irena = irena[irena.index.isin(REGIONS)]
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irena.rename(index=REGIONS_DICT, inplace=True)
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df_offwind = irena[irena.Technology.str.contains("Offshore")].drop(
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columns=["Technology"]
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)
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df_onwind = irena[irena.Technology.str.contains("Onshore")].drop(
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columns=["Technology"]
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)
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df_pv = irena[irena.Technology.str.contains("Solar")].drop(columns=["Technology"])
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df_offwind.to_csv(snakemake.output["offwind"])
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df_onwind.to_csv(snakemake.output["onwind"])
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df_pv.to_csv(snakemake.output["solar"])
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