94 lines
2.4 KiB
ReStructuredText
94 lines
2.4 KiB
ReStructuredText
.. _installation:
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##########################################
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Installation
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##########################################
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The subsequently described installation steps are demonstrated as shell commands, where the path before the ``%`` sign denotes the
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directory in which the commands following the ``%`` should be entered.
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Install PyPSA-Eur
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=================
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First install `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`_ and all
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its dependencies. Clone the repository:
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.. code:: bash
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projects % git clone git@github.com:PyPSA/pypsa-eur-sec.git
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then download and unpack all the PyPSA-Eur data files.
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Clone PyPSA-Eur-Sec repository
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==============================
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Create a parallel directory for PyPSA-Eur-Sec with:
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.. code:: bash
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projects % git clone git@github.com:PyPSA/pypsa-eur-sec.git
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Environment/package requirements
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================================
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The requirements are the same as `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`_. For
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``solve_network.py`` in addition you need ``gurobipy``. If you have
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xarray version >= 0.15.1, you will need the latest master branch of
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atlite version 0.0.2.
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Data requirements
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=================
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The data requirements include the JRC-IDEES-2015 database, JRC biomass
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potentials, EEA emission statistics, Eurostat Energy Balances, urban
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district heating potentials, emobility statistics, timezone mappings
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and heating profiles.
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The data bundle is about 640 MB.
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To download and extract it on the command line:
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.. code:: bash
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projects/pypsa-eur-sec/data % wget "https://nworbmot.org/pypsa-eur-sec-data-bundle-190719.tar.gz"
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projects/pypsa-eur-sec/data % tar xvzf pypsa-eur-sec-data-bundle-190719.tar.gz
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Set up the default configuration
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================================
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First make your own copy of the ``config.yaml``:
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.. code:: bash
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projects/pypsa-eur-sec % cp config.default.yaml config.yaml
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Getting started
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===============
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In ``config.yaml`` you can control the settings for the scenarios you
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want to run, such as the number of nodes, the CO2 limit, the
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installable potentials for solar and wind, which technologies are
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activated, etc.
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To run the full optimization with your settings:
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.. code:: bash
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projects/pypsa-eur-sec % snakemake
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Warning: you may need a computer cluster for this (with e.g. 10-100 GB of RAM
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and several processors).
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To only prepare the networks, you can run the scripts up to the point before optimization:
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.. code:: bash
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projects/pypsa-eur-sec % snakemake prepare_sector_networks
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