96 lines
2.9 KiB
Python
96 lines
2.9 KiB
Python
#!/usr/bin/env python
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# SPDX-FileCopyrightText: : 2017-2020 The PyPSA-Eur Authors
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#
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# SPDX-License-Identifier: MIT
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"""
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Build hydroelectric inflow time-series for each country.
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Relevant Settings
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-----------------
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.. code:: yaml
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countries:
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renewable:
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hydro:
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cutout:
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clip_min_inflow:
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.. seealso::
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Documentation of the configuration file ``config.yaml`` at
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:ref:`toplevel_cf`, :ref:`renewable_cf`
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Inputs
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------
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- ``data/bundle/EIA_hydro_generation_2000_2014.csv``: Hydroelectricity net generation per country and year (`EIA <https://www.eia.gov/beta/international/data/browser/#/?pa=000000000000000000000000000000g&c=1028i008006gg6168g80a4k000e0ag00gg0004g800ho00g8&ct=0&ug=8&tl_id=2-A&vs=INTL.33-12-ALB-BKWH.A&cy=2014&vo=0&v=H&start=2000&end=2016>`_)
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.. image:: ../img/hydrogeneration.png
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:scale: 33 %
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- ``resources/country_shapes.geojson``: confer :ref:`shapes`
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- ``"cutouts/" + config["renewable"]['hydro']['cutout']``: confer :ref:`cutout`
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Outputs
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-------
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- ``resources/profile_hydro.nc``:
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=================== ================ =========================================================
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Field Dimensions Description
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=================== ================ =========================================================
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inflow countries, time Inflow to the state of charge (in MW),
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e.g. due to river inflow in hydro reservoir.
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=================== ================ =========================================================
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.. image:: ../img/inflow-ts.png
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:scale: 33 %
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.. image:: ../img/inflow-box.png
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:scale: 33 %
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Description
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-----------
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.. seealso::
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:mod:`build_renewable_profiles`
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"""
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import logging
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from _helpers import configure_logging
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import atlite
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import geopandas as gpd
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from vresutils import hydro as vhydro
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logger = logging.getLogger(__name__)
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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('build_hydro_profile')
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configure_logging(snakemake)
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config_hydro = snakemake.config['renewable']['hydro']
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cutout = atlite.Cutout(snakemake.input.cutout)
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countries = snakemake.config['countries']
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country_shapes = (gpd.read_file(snakemake.input.country_shapes)
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.set_index('name')['geometry'].reindex(countries))
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country_shapes.index.name = 'countries'
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eia_stats = vhydro.get_eia_annual_hydro_generation(
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snakemake.input.eia_hydro_generation).reindex(columns=countries)
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inflow = cutout.runoff(shapes=country_shapes,
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smooth=True,
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lower_threshold_quantile=True,
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normalize_using_yearly=eia_stats)
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if 'clip_min_inflow' in config_hydro:
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inflow = inflow.where(inflow > config_hydro['clip_min_inflow'], 0)
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inflow.to_netcdf(snakemake.output[0])
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