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District heat network extension to decarbonise building stock: A bottom-up agent-based approach

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Aug 2020Embargo end date: 15 Aug 2020 Switzerland, Switzerland Publisher:Elsevier BVJournal:Applied Energy, volume 272, page 115,177 (issn: 0306-2619,

Authors: Pagani, Marco; Maire, Patrick; Korosec, Wolfgang; Chokani, Ndaona; Abhari, Reza S.;

doi: 10.1016/j.apenergy.2020.115177 , 10.3929/ethz-b-000418047

District heat network extension to decarbonise building stock: A bottom-up agent-based approach

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Abstract

Applied Energy, 272

ISSN:0306-2619

ISSN:1872-9118

Countries

Switzerland, Switzerland

Related Organizations

ETH Zurich
Switzerland
University of St. Gallen
Switzerland

Keywords

Bottom-up heat model; Agent-based; Predictive logistic regression; Routing algorithm; Decarbonisation, Agent-based, Predictive logistic regression, Bottom-up heat model, Routing algorithm, Decarbonisation

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%