pypsa-eur
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
Science Score: 77.0%
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 12 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, zenodo.org -
✓Committers with academic emails
15 of 93 committers (16.1%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (13.8%) to scientific vocabulary
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Repository
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
Basic Info
- Host: GitHub
- Owner: PyPSA
- Language: Python
- Default Branch: master
- Homepage: https://pypsa-eur.readthedocs.io/
- Size: 122 MB
Statistics
- Stars: 466
- Watchers: 19
- Forks: 319
- Open Issues: 196
- Releases: 20
Topics
Metadata Files
README.md
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
PyPSA-Eur is an open model dataset of the European energy system at the transmission network level that covers the full ENTSO-E area. 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 model is described in the documentation and in the paper PyPSA-Eur: An Open Optimisation Model of the European Transmission System, 2018, arXiv:1806.01613. The model building routines are defined through a snakemake workflow. Please see the documentation for installation instructions and other useful information about the snakemake workflow. The model is designed to be imported into the open toolbox PyPSA.
WARNING: PyPSA-Eur is under active development and has several limitations which you should understand before using the model. The github repository issues collect known topics we are working on (please feel free to help or make suggestions). The documentation remains somewhat patchy. You can find showcases of the model's capabilities in the Joule paper The potential role of a hydrogen network in Europe, another paper in Joule with a description of the industry sector, or in a 2021 presentation at EMP-E. We do not recommend to use the full resolution network model for simulations. At high granularity the assignment of loads and generators to the nearest network node may not be a correct assumption, depending on the topology of the underlying distribution grid, and local grid bottlenecks may cause unrealistic load-shedding or generator curtailment. We recommend to cluster the network to a couple of hundred nodes to remove these local inconsistencies. See the discussion in Section 3.4 "Model validation" of the paper.
The dataset consists of:
- A grid model based on a modified GridKit extraction of the ENTSO-E Transmission System Map. The grid model contains 7072 lines (alternating current lines at and above 220kV voltage level and all high voltage direct current lines) and 3803 substations.
- The open power plant database powerplantmatching.
- Electrical demand time series from the OPSD project.
- Renewable time series based on ERA5 and SARAH, assembled using the atlite tool.
- Geographical potentials for wind and solar generators based on land use (CORINE) and excluding nature reserves (Natura2000) are computed with the atlite library.
A sector-coupled extension adds demand and supply for the following sectors: transport, space and water heating, biomass, industry and industrial feedstocks, agriculture, forestry and fishing. This completes the energy system and includes all greenhouse gas emitters except waste management and land use.
This diagram gives an overview of the sectors and the links between them:
Each of these sectors is built up on the transmission network nodes from PyPSA-Eur:
For computational reasons the model is usually clustered down to 50-200 nodes.
Already-built versions of the model can be found in the accompanying Zenodo repository.
Contributing and Support
We strongly welcome anyone interested in contributing to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on GitHub. - To discuss with other PyPSA users, organise projects, share news, and get in touch with the community you can use the Discord server. - For bugs and feature requests, please use the PyPSA-Eur Github Issues page.
Licence
The code in PyPSA-Eur is released as free software under the
MIT License, see doc/licenses.rst.
However, different licenses and terms of use may apply to the various
input data, see doc/data_sources.rst.
Owner
- Name: PyPSA
- Login: PyPSA
- Kind: organization
- Website: www.pypsa.org
- Repositories: 29
- Profile: https://github.com/PyPSA
Python for Power System Analysis
Citation (CITATION.cff)
# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
#
# SPDX-License-Identifier: CC0-1.0
cff-version: 1.1.0
message: "If you use this package, please cite it in the following way."
title: "PyPSA-Eur: An open sector-coupled optimisation model of the European energy system"
repository: https://github.com/pypsa/pypsa-eur
version: v2025.07.0
license: MIT
authors:
- family-names: Brown
given-names: Tom
orcid: https://orcid.org/0000-0001-5898-1911
- family-names: Victoria
given-names: Marta
orcid: https://orcid.org/0000-0003-1665-1281
- family-names: Zeyen
given-names: Elisabeth
orcid: https://orcid.org/0000-0002-7262-3296
- family-names: Hofmann
given-names: Fabian
orcid: https://orcid.org/0000-0002-6604-5450
- family-names: Neumann
given-names: Fabian
orcid: https://orcid.org/0000-0001-8551-1480
- family-names: Frysztacki
given-names: Martha
orcid: https://orcid.org/0000-0002-0788-1328
- family-names: Hampp
given-names: Johannes
orcid: https://orcid.org/0000-0002-1776-116X
- family-names: Schlachtberger
given-names: David
orcid: https://orcid.org/0000-0002-8167-8213
- family-names: Hörsch
given-names: Jonas
orcid: https://orcid.org/0000-0001-9438-767X
- family-names: Schledorn
given-names: Amos
- family-names: Schauß
given-names: Caspar
- family-names: van Greevenbroek
given-names: Koen
- family-names: Millinger
given-names: Markus
- family-names: Glaum
given-names: Philipp
- family-names: Xiong
given-names: Bobby
- family-names: Seibold
given-names: Toni
GitHub Events
Total
- Fork event: 80
- Create event: 179
- Commit comment event: 6
- Release event: 2
- Issues event: 131
- Watch event: 119
- Delete event: 137
- Member event: 1
- Issue comment event: 476
- Push event: 947
- Pull request review comment event: 289
- Pull request review event: 434
- Pull request event: 543
Last Year
- Fork event: 80
- Create event: 179
- Commit comment event: 6
- Release event: 2
- Issues event: 131
- Watch event: 119
- Delete event: 137
- Member event: 1
- Issue comment event: 476
- Push event: 947
- Pull request review comment event: 289
- Pull request review event: 434
- Pull request event: 543
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Fabian Neumann | f****n@o****e | 1,317 |
| pre-commit-ci[bot] | 6****] | 450 |
| Fabian | f****f@g****e | 427 |
| lisazeyen | l****n@w****e | 358 |
| Jonas Hörsch | j****h@k****u | 238 |
| Tom Brown | t****m@n****g | 216 |
| martavp | m****z@g****m | 119 |
| martacki | m****i@k****u | 114 |
| Philipp Glaum | p****m@t****e | 95 |
| AmosSchledorn | a****n@i****m | 86 |
| Koen van Greevenbroek | k****k@u****o | 78 |
| virio-andreyana | 1****a | 77 |
| Lukas Trippe | l****p@p****e | 65 |
| Adam-Dvorak1 | 9****1 | 63 |
| euronion | 4****n | 49 |
| Parisra | 1****a | 37 |
| LukasFrankenQ | l****n@e****k | 35 |
| Michael Lindner | m****r@p****e | 32 |
| github-actions[bot] | 4****] | 32 |
| Bobby Xiong | 3****g | 28 |
| Thomas Gilon | t****i@c****m | 26 |
| Max Parzen | m****n@e****k | 26 |
| millingermarkus | m****r@c****e | 26 |
| toniseibold | t****b@g****m | 21 |
| ekatef | e****a@g****m | 18 |
| chrstphtrs | c****s@t****e | 17 |
| Thomas Gilon | t****n@o****g | 17 |
| cpschau | 1****u | 16 |
| Jeroen Peters | h****s@g****m | 15 |
| yerbol-akhmetov | y****3@g****m | 14 |
| and 63 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 569
- Total pull requests: 1,845
- Average time to close issues: 8 months
- Average time to close pull requests: 27 days
- Total issue authors: 107
- Total pull request authors: 92
- Average comments per issue: 1.58
- Average comments per pull request: 1.14
- Merged pull requests: 1,403
- Bot issues: 1
- Bot pull requests: 213
Past Year
- Issues: 120
- Pull requests: 743
- Average time to close issues: 14 days
- Average time to close pull requests: 6 days
- Issue authors: 57
- Pull request authors: 49
- Average comments per issue: 0.63
- Average comments per pull request: 0.92
- Merged pull requests: 529
- Bot issues: 1
- Bot pull requests: 143
Top Authors
Issue Authors
- fneum (126)
- nworbmot (71)
- FabianHofmann (37)
- euronion (20)
- koen-vg (18)
- fhg-isi (18)
- Heronimonimo (17)
- lisazeyen (16)
- lindnemi (15)
- martavp (14)
- coroa (11)
- pz-max (11)
- p-glaum (10)
- bobbyxng (8)
- amos-schledorn (8)
Pull Request Authors
- fneum (412)
- FabianHofmann (128)
- lkstrp (128)
- pre-commit-ci[bot] (104)
- github-actions[bot] (80)
- koen-vg (68)
- p-glaum (64)
- lindnemi (64)
- toniseibold (60)
- martacki (57)
- lisazeyen (57)
- bobbyxng (57)
- cpschau (47)
- tgi-climact (40)
- euronion (37)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 15
proxy.golang.org: github.com/pypsa/pypsa-eur
- Documentation: https://pkg.go.dev/github.com/pypsa/pypsa-eur#section-documentation
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Latest release: v0.13.0
published over 1 year ago
Rankings
Dependencies
- actions/cache v3 composite
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite