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Article: Modelling building energy use at urban scale: A review on their account for the urban environment

TitleModelling building energy use at urban scale: A review on their account for the urban environment
Authors
Issue Date2021
Citation
Building and Environment, 2021, v. 205, p. 108235 How to Cite?
AbstractWhile more and more cities are planning towards sustainable development and climate resilience, a thorough understanding of the spatiotemporal pattern of building energy demand can be valuable for evidence-based city design and climate change mitigation. Energy demand in buildings is heavily influenced by its surrounding built and climatic environment. This requires simulation that is sensitive to the heterogeneity of buildings and climatic complications in dense urban settings. This paper provides a comprehensive review that documents and cross-compares the major methods to simulate building energy use at urban scale. The reviewed literature were acquired by using the search strings “urban-scale, city-scale or large-scale”, “building energy, energy use, electricity use, energy consumption or thermal load” and “simulation, forecast, modelling or mapping” in the Web of Science database from 2010 to 2021. The result highlighted major differences in strengths, limitations and field of application of different methods based on modelling inputs, outputs and approaches to incorporate urban environment to the modelling. It also identified that future development of urban-scale building energy use should explore more ways to incorporate the spatial variation in weather and morphological conditions, especially in dense urban settings that experience greater environmental challenges.
Persistent Identifierhttp://hdl.handle.net/10722/310509
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, HH-
dc.contributor.authorCai, M-
dc.contributor.authorRen, C-
dc.contributor.authorHuang, Y-
dc.contributor.authorLiao, C-
dc.contributor.authorYin, S-
dc.date.accessioned2022-02-07T07:57:42Z-
dc.date.available2022-02-07T07:57:42Z-
dc.date.issued2021-
dc.identifier.citationBuilding and Environment, 2021, v. 205, p. 108235-
dc.identifier.urihttp://hdl.handle.net/10722/310509-
dc.description.abstractWhile more and more cities are planning towards sustainable development and climate resilience, a thorough understanding of the spatiotemporal pattern of building energy demand can be valuable for evidence-based city design and climate change mitigation. Energy demand in buildings is heavily influenced by its surrounding built and climatic environment. This requires simulation that is sensitive to the heterogeneity of buildings and climatic complications in dense urban settings. This paper provides a comprehensive review that documents and cross-compares the major methods to simulate building energy use at urban scale. The reviewed literature were acquired by using the search strings “urban-scale, city-scale or large-scale”, “building energy, energy use, electricity use, energy consumption or thermal load” and “simulation, forecast, modelling or mapping” in the Web of Science database from 2010 to 2021. The result highlighted major differences in strengths, limitations and field of application of different methods based on modelling inputs, outputs and approaches to incorporate urban environment to the modelling. It also identified that future development of urban-scale building energy use should explore more ways to incorporate the spatial variation in weather and morphological conditions, especially in dense urban settings that experience greater environmental challenges.-
dc.languageeng-
dc.relation.ispartofBuilding and Environment-
dc.titleModelling building energy use at urban scale: A review on their account for the urban environment-
dc.typeArticle-
dc.identifier.emailRen, C: renchao@hku.hk-
dc.identifier.emailYin, S: aryinshi@hku.hk-
dc.identifier.authorityRen, C=rp02447-
dc.identifier.doi10.1016/j.buildenv.2021.108235-
dc.identifier.scopuseid_2-s2.0-85112072573-
dc.identifier.hkuros331601-
dc.identifier.volume205-
dc.identifier.spage108235-
dc.identifier.epage108235-
dc.identifier.isiWOS:000704368700008-

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