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dc.contributor.authorLi, Qien
dc.contributor.authorChoudhary, Ruchien
dc.contributor.authorHeo, Yeonsooken
dc.contributor.authorAugenbroe, Godfrieden
dc.date.accessioned2020-10-20T23:30:27Z
dc.date.available2020-10-20T23:30:27Z
dc.date.issued2020-11-01en
dc.identifier.issn1940-1493
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/311731
dc.description.abstractEffective and scalable methods for modelling existing non-domestic buildings and their HVAC systems under uncertainty continue to be instrumental in risk-conscious building performance assessment, recommissioning, and retrofit practice. This study makes such an attempt for large buildings with radiator system with a modelling method that builds upon detailed state space models of radiator-heated spaces, an archetype-based spatial reduction approach to modelling an entire building, a steady-state model of heat distribution subsystem, and explicit quantification of uncertainties in the above models. The capability and efficacy of the method were demonstrated by a case study on a building section on campus. The results show that the proposed method can effectively capture the detailed dynamic building heat transfer phenomena in individual spaces and is scalable to large complex buildings with moderate model complexity and computation cost.
dc.languageenen
dc.publisherTaylor & Francis
dc.rightsAll rights reserved
dc.rights.uri
dc.titleEffective and scalable modelling of existing non-domestic buildings with radiator system under uncertaintyen
dc.typeArticle
prism.endingPage759
prism.issueIdentifier6en
prism.publicationDate2020en
prism.publicationNameJournal of Building Performance Simulationen
prism.startingPage740
prism.volume13en
dc.identifier.doi10.17863/CAM.58821
dcterms.dateAccepted2020-08-26en
rioxxterms.versionofrecord10.1080/19401493.2020.1817148en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-11-01en
dc.identifier.eissn1940-1507
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idEPSRC (EP/L024454/1)
pubs.funder-project-idEPSRC (EP/F034350/1)
pubs.funder-project-idEPSRC (EP/N021614/1)
pubs.funder-project-idTechnology Strategy Board (920035)
cam.issuedOnline2020-10-07en
cam.orpheus.successMon Oct 26 07:30:24 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2021-10-07


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