Welcome to powerplantmatching’s documentation!#

pythonversion LICENSE

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 or TIMES model

Installation#

Install the package via 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#

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

Welcome to powerplantmatching’s documentation!

Contents