An archetype-in-neighbourhood framework for modelling cooling energy demand of a city's housing stock

Yi, C.Y. and Peng, C. orcid.org/0000-0001-8199-0955 (2019) An archetype-in-neighbourhood framework for modelling cooling energy demand of a city's housing stock. Energy and Buildings. ISSN 0378-7788

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Elsevier. This is an author produced version of a paper subsequently published in Energy and Buildings. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Housing stock energy modelling; Housing archetype; Cooling energy demand; Urban microclimate; EnergyPlus; cooling temperature set-point; Climate projections
Dates:
  • Accepted: 4 May 2019
  • Published (online): 6 May 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 May 2019 15:53
Last Modified: 06 May 2020 00:38
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.enbuild.2019.05.015

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