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

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.

The feasibility of energy autonomy for municipalities: local energy system optimisation and upscaling with cluster and regression analyses

“…Clusters 3, 4, 7 and 8, on the other hand, show a high potential for renewable energies and Cluster 9 comprises all German municipalities without inhabitants. The indicators and resulting clusters are published open access in Weinand et al (2019b) and this dataset can support in answering a wide range of energy related research challenges.…”

The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems

“…69 In the cluster analysis 23 and the regression in this study, the onshore wind potentials are taken from McKenna et al, 28 where the potential is estimated for Germany by matching wind turbines to land use and wind speed classes. When onshore wind potentials in all German municipalities are discussed in the main text of this present article, they are based on McKenna et al 28 The indicators and clusters were published open access in Weinand et al 70 The cluster analysis in Weinand et al 23 indicated that the German municipalities are heterogeneous in terms of size and socio-energetic indicators. "Socio-energetic" indicators refer to social indicators (such as age of persons and buildings, or ownership) that can have an indirect influence on an energy system (e.g., by influencing energy service demands) as well as indicators that have a direct influence on an energy system, such as RE generation potentials.…”

Identifying future district heating potentials in Germany: a study using empirical insights and distribution cost analysis

“…Empirical analyses for the current state of DH on the country-level have been conducted before, e.g. for Germany, Triebs et al, 2021 [4] analysed the fuel input on the network level, and Weinand et al, 2019 [5] published an open dataset on the share of buildings with DH for the municipalities based on the census 2011. However, only a few studies have analysed the current spatial extension of DH on the country-or EU-level, mostly due to lack of data.…”