A toolset for cleaning, standardizing and combining multiple power plant databases.
This package provides ready-to-use power plant data for the European power system. Starting from openly available power plant datasets, the package cleans, standardizes and merges the input data to create a new combined dataset, which includes all the important information. The package allows to easily update the combined data as soon as new input datasets are released.
You can directly download the current version of the data as a CSV file.
Initially, powerplantmatching was developed by the Renewable Energy Group at FIAS and is now maintained by the Digital Transformation in Energy Systems Group at the Technical University of Berlin to build power plant data inputs to PyPSA-based models for carrying out simulations.
- clean and standardize power plant data sets
- aggregate power plant units which belong to the same plant
- compare and combine different data sets
- create lookups and give statistical insight to power plant goodness
- provide cleaned data from different sources
- choose between gross/net capacity
- provide an already merged data set of multiple different open data sources
- scale the power plant capacities in order to match country-specific statistics about total power plant capacities
- visualize the data
- export your powerplant data to a PyPSA-based model
Using pip
pip install powerplantmatchingor conda
conda install -c conda-forge powerplantmatchingWe 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.
- In case of code-related questions, please post on stack overflow.
- For non-programming related and more general questions please refer to the PyPSA mailing list.
- To discuss with other PyPSA & technology-data 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 powerplantmatching Github Issues page.
If you want to cite powerplantmatching, use the following paper
- F. Gotzens, H. Heinrichs, J. Hörsch, and F. Hofmann, Performing energy modelling exercises in a transparent way - The issue of data quality in power plant databases, Energy Strategy Reviews, vol. 23, pp. 1–12, Jan. 2019.
with bibtex
@article{gotzens_performing_2019,
title = {Performing energy modelling exercises in a transparent way - {The} issue of data quality in power plant databases},
volume = {23},
issn = {2211467X},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2211467X18301056},
doi = {10.1016/j.esr.2018.11.004},
language = {en},
urldate = {2018-12-03},
journal = {Energy Strategy Reviews},
author = {Gotzens, Fabian and Heinrichs, Heidi and Hörsch, Jonas and Hofmann, Fabian},
month = jan,
year = {2019},
pages = {1--12}
}
and/or the current release stored on Zenodo with a release-specific DOI:
powerplantmatching is released as free software under the MIT license.
The default output data powerplants.csv generated by the package is released under CC BY 4.0.
Parts of the repository may be licensed under different licenses, especially dependent package binaries for duke being licensed under Apache 2.0 license.
This repository uses the REUSE conventions to indicate the licenses that apply to individual files and parts of the repository. For details on the licenses that apply, see the the header information of the respective files and REUSE.toml for details.
Copyright 2018-2024 Fabian Gotzens (FZ Jülich), Jonas Hörsch (KIT), Fabian Hofmann (FIAS) Copyright 2025- Contributors to powerplantmatching https://github.com/pypsa/powerplantmatching
You can find a list of contributors in the contributors page and in the contributors file.