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  4. Finding an optimal district heating market share in 2050 for EU-27: Comparison of modelling approaches
 
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2022
Conference Paper
Title

Finding an optimal district heating market share in 2050 for EU-27: Comparison of modelling approaches

Abstract
District heating is an important pillar for decarbonizing the heating of buildings, and is most cost-effective in areas with high heat demands. The lower the heating demand in a certain area, the higher the specific distribution costs of district heating. Furthermore, heat generation for district heating needs to be transformed. All of this affects the costs for the generation and distribution of heat to buildings. The question arises, how a cost-effective share of district heating for the heating of buildings in a future climate-neutral energy system can be quantified. Existing modelling studies report greatly differing values for the future share of district heating. A better understanding of the reasons for such great differences among studies increases the value and relevance of results. Thereby, we present a review of published system analyses studies that aim to model the future evolution of district heating. Based on this, we conduct a case study, using a high spatial resolution modelling approach to determine the most important parameters for analysing the district heating market share in Germany.
We find in the reviewed studies that the resulting shares for district heating vary greatly, even when similar assumptions are used. Some studies identify possible district heating areas with a high spatial resolution. Furthermore, the modelling approaches for the district heating sector differ by cost assumptions, resulting in different shares for district heating. Nevertheless, modelling is a method to indicate future district heating expansion in different European countries.
Author(s)
Manz, Pia  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Alibas, Sirin  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Fleiter, Tobias  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Billerbeck, Anna  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Mainwork
eceee Summer Study 2022. Proceedings  
Conference
European Council for an Energy-Efficient Economy (ECEEE Summer Study) 2022  
DOI
10.24406/publica-218
File(s)
eceee_2022_Finding_optimal_district_heating_market_share_2050_EU-27.pdf (511.18 KB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • District heating

  • Energy model

  • Heating

  • GIS

  • Spatial analysis

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