Analysis of georeferenced building data for the identification and evaluation of thermal microgrids

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Arno Schlueter
  • Philipp Florian Geyer
  • Sasha Cisar

External Research Organisations

  • ETH Zurich
  • KU Leuven
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Details

Original languageEnglish
Article number7431939
Pages (from-to)713-725
Number of pages13
JournalProceedings of the IEEE
Volume104
Issue number4
Publication statusPublished - Apr 2016
Externally publishedYes

Abstract

Retrofitting the existing building stock is among the most important objectives and imperative to meet societal goals to reduce primary energy demand and anthropogenic greenhouse gas emissions. District heating systems have proven to supply heat for buildings both energy and cost efficiently. Thermal microgrids (TMGs) can be understood as a subcategory of district heating systems: small scale, bidirectional, and potentially fed by different thermal sources. Given a suitable combination of loads, the number of and distance between buildings, they can offer economic and environmental advantages compared to the supply by individual heating systems per building. We present a novel method using data analysis techniques on georeferenced building stock data to identify suitable configurations of buildings that yield a cost-efficient TMG. For the identification, both semantic and spatial data from a database are combined using fuzzy logics and cost-benefit analysis. We apply the method using a case study featuring a database of 306 buildings potentially to be retrofitted. As a result, we can identify nine groups of 25 buildings that would form a microgrid featuring up to 17.4% cost benefits compared to an individual heat supply. This would save approximately 30% of the building-induced CO2 emission of the community.

Keywords

    Building retrofit, clustering, cost-benefit analysis, district heating, fuzzy logics, geoinformation system (GIS), thermal microgrids (TMGs)

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Analysis of georeferenced building data for the identification and evaluation of thermal microgrids. / Schlueter, Arno; Geyer, Philipp Florian; Cisar, Sasha.
In: Proceedings of the IEEE, Vol. 104, No. 4, 7431939, 04.2016, p. 713-725.

Research output: Contribution to journalArticleResearchpeer review

Schlueter A, Geyer PF, Cisar S. Analysis of georeferenced building data for the identification and evaluation of thermal microgrids. Proceedings of the IEEE. 2016 Apr;104(4):713-725. 7431939. doi: 10.1109/JPROC.2016.2526118
Schlueter, Arno ; Geyer, Philipp Florian ; Cisar, Sasha. / Analysis of georeferenced building data for the identification and evaluation of thermal microgrids. In: Proceedings of the IEEE. 2016 ; Vol. 104, No. 4. pp. 713-725.
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