Spatial Distribution of Wind Turbines, Photovoltaic Field Systems, Bioenergy, and River Hydro Power Plants in Germany

Marcus Eichhorn, Mattes Scheftelowitz, Matthias Reichmuth, Christian Lorenz, Kyriakos Louca, Alexander Schiffler, Rita Keuneke, Martin Bauschmann, Jens Ponitka, David Manske and Daniela Thrän
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Marcus Eichhorn: Department of Bioenergy, Helmholtz Centre for Environmental Research GmbH-UFZ, 04318 Leipzig, Germany
Mattes Scheftelowitz: Department of Bioenergy Systems, Deutsches Biomasseforschungszentrum DBFZ, 04347 Leipzig, Germany
Matthias Reichmuth: Leipziger Institut für Energie GmbH, Lessingstraße 2, 04109 Leipzig, Germany
Christian Lorenz: Leipziger Institut für Energie GmbH, Lessingstraße 2, 04109 Leipzig, Germany
Kyriakos Louca: Leipziger Institut für Energie GmbH, Lessingstraße 2, 04109 Leipzig, Germany
Alexander Schiffler: Leipziger Institut für Energie GmbH, Lessingstraße 2, 04109 Leipzig, Germany
Rita Keuneke: Ingenieurbüro Floecksmühle GmbH, 52066 Aachen, Germany
Martin Bauschmann: Department of Bioenergy Systems, Deutsches Biomasseforschungszentrum DBFZ, 04347 Leipzig, Germany
Jens Ponitka: Department of Nature Conservation and Renewable Energy, German Federal Agency for Nature Conservation, 04277 Leipzig, Germany
David Manske: Department of Bioenergy, Helmholtz Centre for Environmental Research GmbH-UFZ, 04318 Leipzig, Germany
Daniela Thrän: Department of Bioenergy, Helmholtz Centre for Environmental Research GmbH-UFZ, 04318 Leipzig, Germany

Data, 2019, vol. 4, issue 1, 1-15

Abstract: The expansion of renewable energy technologies, accompanied by an increasingly decentralized supply structure, raises many research questions regarding the structure, dimension, and impacts of the electricity supply network. In this context, information on renewable energy plants, particularly their spatial distribution and key parameters—e.g., installed capacity, total size, and required space—are more and more important for public decision makers and different scientific domains, such as energy system analysis and impact assessment. The dataset described in this paper covers the spatial distribution, installed capacity, and commissioning year of wind turbines, photovoltaic field systems, and bio- and river hydro power plants in Germany. Collected from different online sources and authorities, the data have been thoroughly cross-checked, cleaned, and merged to generate validated and complete datasets. The paper concludes with notes on the practical use of the dataset in an environmental impact monitoring framework and other potential research or policy settings.

Keywords: renewable energy; wind turbine; photovoltaic field systems; bioenergy plants; hydro power plants; GIS; spatial data (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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