5.3 KiB
PyPSA-Eur: An Open Optimisation Model of the European Transmission System
PyPSA-Eur is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area.
It contains alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.
The model is suitable both for operational studies and generation and transmission expansion planning studies. The continental scope and highly resolved spatial scale enables a proper description of the long-range smoothing effects for renewable power generation and their varying resource availability.
The restriction to freely available and open data encourages the open exchange of model data developments and eases the comparison of model results. It provides a full, automated software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy replacement and improvement of the individual parts.
PyPSA-Eur is designed to be imported into the open toolbox PyPSA for which documentation is available as well.
This project is maintained by the Energy System Modelling group at the Institute for Automation and Applied Informatics at the Karlsruhe Institute of Technology. The group is funded by the Helmholtz Association until 2024. Previous versions were developed by the Renewable Energy Group at FIAS to carry out simulations for the CoNDyNet project, financed by the German Federal Ministry for Education and Research (BMBF) as part of the Stromnetze Research Initiative.
Documentation
Getting Started
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.. toctree:: :hidden: :maxdepth: 1 :caption: Getting Started introduction installation examples
Configuration
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.. toctree:: :hidden: :maxdepth: 1 :caption: Configuration wildcards configuration
Rules Overview
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.. toctree:: :hidden: :maxdepth: 1 :caption: Rules Overview preparation simplification solving plotting
References
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.. toctree:: :hidden: :maxdepth: 1 :caption: References release_notes contributing
Citing PyPSA-Eur
If you use PyPSA-Eur for your research, we would appreciate it if you would cite the following paper:
- Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. arXiv:1806.01613, doi:10.1016/j.esr.2018.08.012.
Please use the following BibTeX:
@article{PyPSAEur,
author = "Jonas Hoersch and Fabian Hofmann and David Schlachtberger and Tom Brown",
title = "PyPSA-Eur: An open optimisation model of the European transmission system",
journal = "Energy Strategy Reviews",
volume = "22",
pages = "207 - 215",
year = "2018",
issn = "2211-467X",
doi = "10.1016/j.esr.2018.08.012",
eprint = "1806.01613"
}
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.. todo:: Add versions to zenodo
If you want to cite a specific PyPSA-Eur version, each release of PyPSA-Eur is stored on Zenodo with a release-specific DOI. This can be found linked from the overall PyPSA-Eur Zenodo DOI: