Developing a municipality typology for modelling decentralised energy systems
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Date
2019-04Type
- Journal Article
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Cited 30 times in
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Cited 31 times in
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Abstract
One solution to the large-scale integration of renewable energies could be decentralised autonomous municipal energy systems. Several studies have already analysed the technical and economic implications of the mainly decentralised future energy system, but most are restricted in their insights by limited temporal and spatial resolution. This study employs a cluster analysis to develop a municipality typology in order to analyse the techno-economic suitability of municipalities for autonomous energy systems. A total of 34 socio-technical indicators are employed at the municipal level, with a particular focus on the sectors of Private Households and Transport, and the potentials for decentralised renewable energies. Selected quantitative cluster validation methods are employed alongside qualitative criteria to determine the optimal number of clusters. This results in a total of ten clusters, which show a large variation as well as some overlap with respect to specific indicators. An analysis of the municipalities from three German renewable energy projects Energy Municipalities, Bioenergy Villages and 100% Renewable Energy Regions shows that in eight of the ten clusters municipalities are aiming for energy autonomy (in varying degrees). It is challenging to differentiate between the clusters regarding readiness for energy autonomy projects, however, especially if the degree of social acceptance and engagement for such projects is to be considered. To answer the more techno-economical part of this question, future work will employ the developed clusters in the context of an energy system optimisation. Insights gained at the municipal level will then be qualitatively transferred to the national context to assess the implications for the whole energy system. Show more
Publication status
publishedExternal links
Journal / series
Utilities PolicyVolume
Pages / Article No.
Publisher
ElsevierSubject
Cluster analysis; Decentralised energy systems; Socio-energetic indicators; Energy autonomyOrganisational unit
09752 - McKenna, Russell / McKenna, Russell
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Show all metadata
Citations
Cited 30 times in
Web of Science
Cited 31 times in
Scopus
ETH Bibliography
no
Altmetrics