109 lines
6.4 KiB
Markdown
109 lines
6.4 KiB
Markdown
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SPDX-FileCopyrightText: 2017-2024 The PyPSA-Eur Authors
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SPDX-License-Identifier: CC-BY-4.0
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-->
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[](https://github.com/pypsa/pypsa-eur/actions/workflows/test.yaml)
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[](https://pypsa-eur.readthedocs.io/en/latest/?badge=latest)
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[](https://doi.org/10.5281/zenodo.3520874)
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[](https://doi.org/10.5281/zenodo.3938042)
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[](https://snakemake.readthedocs.io)
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[](https://api.reuse.software/info/github.com/pypsa/pypsa-eur)
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[](https://stackoverflow.com/questions/tagged/pypsa)
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# PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
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PyPSA-Eur is an open model dataset of the European energy system at the
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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.
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The continental scope and highly resolved spatial scale enables a proper description of the long-range
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smoothing effects for renewable power generation and their varying resource availability.
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The model is described in the [documentation](https://pypsa-eur.readthedocs.io)
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and in the paper
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[PyPSA-Eur: An Open Optimisation Model of the European Transmission
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System](https://arxiv.org/abs/1806.01613), 2018,
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[arXiv:1806.01613](https://arxiv.org/abs/1806.01613).
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The model building routines are defined through a snakemake workflow.
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Please see the [documentation](https://pypsa-eur.readthedocs.io/)
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for installation instructions and other useful information about the snakemake workflow.
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The model is designed to be imported into the open toolbox
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[PyPSA](https://github.com/PyPSA/PyPSA).
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**WARNING**: PyPSA-Eur is under active development and has several
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[limitations](https://pypsa-eur.readthedocs.io/en/latest/limitations.html) which
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you should understand before using the model. The github repository
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[issues](https://github.com/PyPSA/pypsa-eur/issues) collect known topics we are
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working on (please feel free to help or make suggestions). The
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[documentation](https://pypsa-eur.readthedocs.io/) remains somewhat patchy. You
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can find showcases of the model's capabilities in the Joule paper [The potential
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role of a hydrogen network in
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Europe](https://doi.org/10.1016/j.joule.2023.06.016), another [paper in Joule
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with a description of the industry
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sector](https://doi.org/10.1016/j.joule.2022.04.016), or in [a 2021 presentation
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at EMP-E](https://nworbmot.org/energy/brown-empe.pdf). We do not recommend to
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use the full resolution network model for simulations. At high granularity the
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assignment of loads and generators to the nearest network node may not be a
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correct assumption, depending on the topology of the underlying distribution
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grid, and local grid bottlenecks may cause unrealistic load-shedding or
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generator curtailment. We recommend to cluster the network to a couple of
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hundred nodes to remove these local inconsistencies. See the discussion in
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Section 3.4 "Model validation" of the paper.
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The dataset consists of:
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- A grid model based on a modified [GridKit](https://github.com/bdw/GridKit)
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extraction of the [ENTSO-E Transmission System
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Map](https://www.entsoe.eu/data/map/). The grid model contains 7072 lines
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(alternating current lines at and above 220kV voltage level and all high
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voltage direct current lines) and 3803 substations.
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- The open power plant database
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[powerplantmatching](https://github.com/PyPSA/powerplantmatching).
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- Electrical demand time series from the
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[OPSD project](https://open-power-system-data.org/).
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- Renewable time series based on ERA5 and SARAH, assembled using the [atlite tool](https://github.com/PyPSA/atlite).
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- Geographical potentials for wind and solar generators based on land use (CORINE) and excluding nature reserves (Natura2000) are computed with the [atlite library](https://github.com/PyPSA/atlite).
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A sector-coupled extension adds demand
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and supply for the following sectors: transport, space and water
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heating, biomass, industry and industrial feedstocks, agriculture,
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forestry and fishing. This completes the energy system and includes
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all greenhouse gas emitters except waste management and land use.
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This diagram gives an overview of the sectors and the links between
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them:
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Each of these sectors is built up on the transmission network nodes
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from [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur):
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For computational reasons the model is usually clustered down
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to 50-200 nodes.
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Already-built versions of the model can be found in the accompanying [Zenodo
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repository](https://doi.org/10.5281/zenodo.3601881).
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# Contributing and Support
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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.
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- In case of code-related **questions**, please post on [stack overflow](https://stackoverflow.com/questions/tagged/pypsa).
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- For non-programming related and more general questions please refer to the [mailing list](https://groups.google.com/group/pypsa).
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- To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the [discord server](https://discord.com/invite/AnuJBk23FU).
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- For **bugs and feature requests**, please use the [PyPSA-Eur Github Issues page](https://github.com/PyPSA/pypsa-eur/issues).
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# Licence
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The code in PyPSA-Eur is released as free software under the
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[MIT License](https://opensource.org/licenses/MIT), see [`doc/licenses.rst`](doc/licenses.rst).
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However, different licenses and terms of use may apply to the various
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input data, see [`doc/data_sources.rst`](doc/data_sources.rst).
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