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.
Using pip
pip install powerplantmatching
or conda
conda install -c conda-forge powerplantmatching
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.
If you want to cite powerplantmatching, use the following paper
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:
Copyright 2018-2022 Fabian Hofmann (EnSys TU Berlin), Fabian Gotzens (FZ Jülich), Jonas Hörsch (KIT),
powerplantmatching is released as free software under the GPLv3, see LICENSE for further information.