powerplantmatching 0.5.3

Toolset for generating and managing Power Plant Data

powerplantmatching

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 combining dataset, which includes all the important information. The package allows to easily update the combined data as soon as new input datasets are released.

powerplantmatching was initially developed by the Renewable Energy Group at FIAS to build power plant data inputs to PyPSA-based models for carrying out simulations for the CoNDyNet project, financed by the German Federal Ministry for Education and Research (BMBF) as part of the Stromnetze Research Initiative.

Main Features

• clean and standardize power plant data sets
• aggregate power plants 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 gros/net capacity
• provide an already merged data set of six different 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

Installation

Using pip

pip install powerplantmatching

or conda

conda install -c conda-forge powerplantmatching

Citing powerplantmatching

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:

Acknowledgements

The development of powerplantmatching was helped considerably by in-depth discussions and exchanges of ideas and code with

• Tom Brown from Karlsruhe Institute for Technology
• Chris Davis from University of Groningen and
• Johannes Friedrich, Roman Hennig and Colin McCormick of the World Resources Institute

Licence

Copyright 2018-2020 Fabian Gotzens (FZ Jülich), Jonas Hörsch (KIT), Fabian Hofmann (FIAS)

powerplantmatching is released as free software under the GPLv3, see LICENSE for further information.