Spatial high-resolution socio-energetic data for municipal energy system analyses
| Autor: | Jann M. Weinand, Russell McKenna, Kai Mainzer |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Data Descriptor Economics Energy modelling Library and Information Sciences Geothermal energy Computer Science Applications Education Photovoltaics ddc:330 lcsh:Q SDG 7 - Affordable and Clean Energy Energy economics Statistics Probability and Uncertainty lcsh:Science Wind energy Information Systems |
| Zdroj: | Weinand, J M, McKenna, R & Mainzer, K 2019, ' Spatial high-resolution socio-energetic data for municipal energy system analyses ', Scientific Data, vol. 6, no. 1, 243 . https://doi.org/10.1038/s41597-019-0233-0 Scientific Data Scientific data, 6 (1), Article: 243 Scientific Data, 6 Scientific Data, Vol 6, Iss 1, Pp 1-6 (2019) |
| ISSN: | 2052-4463 |
| DOI: | 10.3929/ethz-b-000549111 |
| Popis: | 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. Scientific Data, 6 ISSN:2052-4463 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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