2fc1ea0255
* some refactoring and code cleaning
* execute pre-commit
* pre-commit: limit large files
* add license to .pre-commit
* add pre-commit to env
* solve: tidy memory logger
* travis: add conda list for easier debugging
* undo config test/tutorial without plotting, rm matplotlibrc, .licenses
* remove {networks} wildcard
* unadd pre-commit config
* add release notes
* restore REUSE compliance
* fix docs environment python version
* env: remove gurobi from dependencies
* fix unclean merge block
* fix elif to if
* lighter rtd style
* lighter rtd style II
69 lines
4.0 KiB
Markdown
69 lines
4.0 KiB
Markdown
<!--
|
|
SPDX-FileCopyrightText: 2017-2020 The PyPSA-Eur Authors
|
|
SPDX-License-Identifier: CC-BY-4.0
|
|
-->
|
|
|
|
|
|
[](https://travis-ci.org/PyPSA/pypsa-eur)
|
|
[](https://pypsa-eur.readthedocs.io/en/latest/?badge=latest)
|
|
|
|
[](https://doi.org/10.5281/zenodo.3520875)
|
|
[](https://gitter.im/PyPSA/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
|
[](https://snakemake.readthedocs.io)
|
|
[](https://api.reuse.software/info/github.com/pypsa/pypsa-eur)
|
|
|
|
# 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.
|
|
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](https://pypsa-eur.readthedocs.io)
|
|
and in the paper
|
|
[PyPSA-Eur: An Open Optimisation Model of the European Transmission
|
|
System](https://arxiv.org/abs/1806.01613), 2018,
|
|
[arXiv:1806.01613](https://arxiv.org/abs/1806.01613).
|
|
|
|
**WARNING**: Please read the [limitations](https://pypsa-eur.readthedocs.io/en/latest/limitations.html) section of the
|
|
documentation and paper carefully before using the model. 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 model is designed to be imported into the open toolbox
|
|
[PyPSA](https://github.com/PyPSA/PyPSA) for operational studies as
|
|
well as generation and transmission expansion planning studies.
|
|
|
|
The dataset consists of:
|
|
|
|
- A grid model based on a modified [GridKit](https://github.com/bdw/GridKit)
|
|
extraction of the [ENTSO-E Transmission System
|
|
Map](https://www.entsoe.eu/data/map/). The grid model contains 6001 lines
|
|
(alternating current lines at and above 220kV voltage level and all high
|
|
voltage direct current lines) and 3657 substations.
|
|
- The open power plant database
|
|
[powerplantmatching](https://github.com/FRESNA/powerplantmatching).
|
|
- Electrical demand time series from the
|
|
[OPSD project](https://open-power-system-data.org/).
|
|
- Renewable time series based on ERA5 and SARAH, assembled using the [atlite tool](https://github.com/FRESNA/atlite).
|
|
- Geographical potentials for wind and solar generators based on land use (CORINE) and excluding nature reserves (Natura2000) are computed with the [vresutils library](https://github.com/FRESNA/vresutils) and the [glaes library](https://github.com/FZJ-IEK3-VSA/glaes).
|
|
|
|
Already-built versions of the model can be found in the accompanying [Zenodo
|
|
repository](https://doi.org/10.5281/zenodo.3601882).
|
|
|
|
A version of the model that adds building heating, transport and
|
|
industry sectors to the model, as well as gas networks, can be found
|
|
in the [PyPSA-Eur-Sec](https://github.com/PyPSA/pypsa-eur-sec) repository.
|