Spatial high-resolution socio-energetic data for municipal energy system analyses

Jann M. Weinand, Russell McKenna, Kai Mainzer

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 languageEnglish
Article number243
Number of pages6
JournalScientific Data
Volume6
Early online date30 Oct 2019
DOIs
Publication statusPublished - 2019

Keywords

  • energy economics
  • energy modelling
  • geothermal energy
  • photovoltaics
  • wind energy

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