Abstract
In the context of the energy transition, municipalities are increasingly attempting to exploit renewable energies. Socio-energetic data are required as input for municipal energy system analyses. This Data Descriptor provides a compilation of 40 indicators for all 11,131 German municipalities. In addition to census data such as population density, mobility data such as the number of vehicles and data on the potential of renewables such as wind energy are included. Most of the data set also contains public data, the allocation of which to municipalities was an extensive task. The data set can support in addressing a wide range of energy-related research challenges. A municipality typology has already been developed with the data, and the resulting municipality grouping is also included in the data set.
| Original language | English |
|---|---|
| Article number | 243 |
| Number of pages | 6 |
| Journal | Scientific Data |
| Volume | 6 |
| Early online date | 30 Oct 2019 |
| DOIs | |
| Publication status | Published - 2019 |
Bibliographical note
AcknowledgementsThe authors gratefully acknowledge the financial support of the PhD College “Energy and Resource Efficiency” (ENRES), from the Federal State of Baden-Wuerttemberg, for funding the first author’s PhD studentship. The second author gratefully acknowledges the support of the Smart City Accelerator project (https://smartcitiesaccelerator.eu/about-smart-cities-accelerator/), which supported his contribution to this article. Furthermore, we acknowledge support by the KIT-Publication Fund of the Karlsruhe Institute of Technology. The usual disclaimer applies.
Keywords
- energy economics
- energy modelling
- geothermal energy
- photovoltaics
- wind energy
Access to Document
- Weinand_etal_SD_Spatial_VOR
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