126 lines
3.6 KiB
ReStructuredText
126 lines
3.6 KiB
ReStructuredText
..
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SPDX-FileCopyrightText: 2019-2023 The PyPSA-Eur Authors
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SPDX-License-Identifier: CC-BY-4.0
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##########################################
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Preparing Networks
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##########################################
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The preparation process of the PyPSA-Eur energy system model consists of a group of ``snakemake``
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rules which are briefly outlined and explained in detail in the sections below.
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Not all data dependencies are shipped with the git repository.
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Instead we provide separate data bundles which can be obtained
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using the ``retrieve*`` rules (:ref:`data`).
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Having downloaded the necessary data,
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- :mod:`build_shapes` generates GeoJSON files with shapes of the countries, exclusive economic zones and `NUTS3 <https://en.wikipedia.org/wiki/Nomenclature_of_Territorial_Units_for_Statistics>`_ areas.
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- :mod:`build_cutout` prepares smaller weather data portions from `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`_ for cutout ``europe-2013-era5`` and SARAH for cutout ``europe-2013-sarah``.
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With these and the externally extracted ENTSO-E online map topology
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(``data/entsoegridkit``), it can build a base PyPSA network with the following rules:
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- :mod:`base_network` builds and stores the base network with all buses, HVAC lines and HVDC links, while
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- :mod:`build_bus_regions` determines `Voronoi cells <https://en.wikipedia.org/wiki/Voronoi_diagram>`_ for all substations.
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Then the process continues by calculating conventional power plant capacities, potentials, and per-unit availability time series for variable renewable energy carriers and hydro power plants with the following rules:
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- :mod:`build_powerplants` for today's thermal power plant capacities using `powerplantmatching <https://github.com/FRESNA/powerplantmatching>`_ allocating these to the closest substation for each powerplant,
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- :mod:`build_natura_raster` for rasterising NATURA2000 natural protection areas,
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- :mod:`build_ship_raster` for building shipping traffic density,
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- :mod:`build_renewable_profiles` for the hourly capacity factors and installation potentials constrained by land-use in each substation's Voronoi cell for PV, onshore and offshore wind, and
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- :mod:`build_hydro_profile` for the hourly per-unit hydro power availability time series.
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The central rule :mod:`add_electricity` then ties all the different data inputs
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together into a detailed PyPSA network stored in ``networks/elec.nc``.
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.. _busregions:
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Rule ``build_bus_regions``
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=============================
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.. automodule:: build_bus_regions
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.. _cutout:
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Rule ``build_cutout``
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=============================
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.. automodule:: build_cutout
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Rule ``prepare_links_p_nom``
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===============================
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.. automodule:: prepare_links_p_nom
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.. _natura:
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Rule ``build_natura_raster``
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===============================
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.. automodule:: build_natura_raster
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.. _base:
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Rule ``base_network``
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=============================
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.. automodule:: base_network
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.. _shapes:
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Rule ``build_shapes``
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=============================
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.. automodule:: build_shapes
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.. _powerplants:
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Rule ``build_powerplants``
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=============================
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.. automodule:: build_powerplants
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.. _load_data:
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Rule ``build_load_data``
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=============================
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.. automodule:: build_load_data
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.. _ship:
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Rule ``build_ship_raster``
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===============================
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.. automodule:: build_ship_raster
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.. _renewableprofiles:
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Rule ``build_renewable_profiles``
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====================================
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.. automodule:: build_renewable_profiles
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.. _hydroprofiles:
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Rule ``build_hydro_profile``
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===============================
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.. automodule:: build_hydro_profile
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.. _electricity:
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Rule ``add_electricity``
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=============================
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.. automodule:: add_electricity |