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dc.contributor.authorXie, H
dc.contributor.authorEames, M
dc.contributor.authorMylona, A
dc.contributor.authorDavies, H
dc.contributor.authorChallenor, P
dc.date.accessioned2024-01-03T10:05:01Z
dc.date.issued2023-12-28
dc.date.updated2024-01-02T19:55:45Z
dc.description.abstractClimate zones play an important role in promoting climate responsive building design and implementing climate-specific prescriptions in national building standards and regulations. The existing studies on climate zoning are subject to several limitations, i.e. the incapability of distinguishing microclimates and the lack of consideration of climate change. In this research, we propose a two-tiered ensemble clustering method for the identification of granular climate zones using the projections of future climate. The first tier identifies primary climate zones using a combination of climatic features and geographical locations, whereas the second tier identifies distinct local variations within each primary climate zone using the temperature related features. The proposed ensemble clustering model is applied to the UK to create a mapping of granular climate zones for future proofing building design. The method identified 14 distinct primary zones and distinguished microclimates at a range of scales from large urban areas, such as the Greater London Area, to national parks, such as Dartmoor and the Pennines. The identified mapping resolves two major obstacles in the creation and usage of weather data for building performance assessment in the UK, i.e. the lack of guidance for selecting weather files, and the absence of scientific rationale for representing the UK climate using the current 14 locations.en_GB
dc.description.sponsorshipInnovate UKen_GB
dc.format.extent122549-122549
dc.identifier.citationVol. 357, article 122549en_GB
dc.identifier.doihttps://doi.org/10.1016/j.apenergy.2023.122549
dc.identifier.grantnumber12939en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134877
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://catalogue.ceda.ac.uken_GB
dc.rights© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectClimate zoneen_GB
dc.subjectWeather filesen_GB
dc.subjectBuilding performance assessmenten_GB
dc.subjectClustering analysisen_GB
dc.subjectEnsemble learningen_GB
dc.titleCreating granular climate zones for future-proof building design in the UKen_GB
dc.typeArticleen_GB
dc.date.available2024-01-03T10:05:01Z
dc.identifier.issn0306-2619
exeter.article-number122549
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionData availability: Datasets related to this article can be found at https://catalogue.ceda.ac.uk, hosted at the CEDA archive.en_GB
dc.identifier.journalApplied Energyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-12-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-12-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-01-03T10:02:35Z
refterms.versionFCDVoR
refterms.dateFOA2024-01-03T10:12:39Z
refterms.panelBen_GB


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© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).