A generalization approach for reduced order modelling of commercial buildings

DC FieldValueLanguage
dc.contributor.authorShamsi, Mohammad Haris-
dc.contributor.authorAli, Usman-
dc.contributor.authorO'Donnell, James-
dc.date.accessioned2019-08-20T07:05:19Z-
dc.date.available2019-08-20T07:05:19Z-
dc.date.issued2019-07-26-
dc.identifier.citationJournal of Building Performance Simulationen_US
dc.identifier.issn1940-1493-
dc.identifier.urihttp://hdl.handle.net/10197/10996-
dc.description.abstractEnergy-efficient retrofits have become crucial in building sector as approximately 80% of buildings in developed countries are over 10 years old. Building simulation tools are now being used to provide estimates of energy consumption and implement various models which differ on the basis of enclosed details. Not all of these models are effective in terms of computation and the associated computational costs. This work devises a novel and generalized reduced-order grey-box modelling approach to predict the thermal behaviour of commercial buildings. The generalization approach reduces the order/complexity of model and lays out a general structure to obtain reduced-order models based on easily identifiable building metrics. We also implemented a forward-selection procedure to compare results obtained using a metrics-based approach. The network order obtained using metrics-based approach matches with the network order predicted by the forward selection procedure. The generalized structure would reduce the complexities involved in the dynamic simulation of urban building stock.en_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherInforma UK Limiteden_US
dc.rightsThis is an electronic version of an article published in Journal of Building Performance Simulation. Journal of Building Performance Simulation is available online at: www.tandfonline.com/doi/10.1080/19401493.2019.1641554en_US
dc.subjectEnergy modellingen_US
dc.subjectReduced-order modelsen_US
dc.subjectCommercial buildingsen_US
dc.subjectThermal network RC modelsen_US
dc.titleA generalization approach for reduced order modelling of commercial buildingsen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactotherjames.odonnell@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume12en_US
dc.identifier.issue6en_US
dc.identifier.startpage729en_US
dc.identifier.endpage744en_US
dc.identifier.doi10.1080/19401493.2019.1641554-
dc.neeo.contributorShamsi|Mohammad Haris|aut|-
dc.neeo.contributorAli|Usman|aut|-
dc.neeo.contributorO'Donnell|James|aut|-
dc.date.embargo2020-07-26en_US
dc.description.othersponsorshipESIPP UCDen_US
dc.description.admin12 month embargo - ACen_US
dc.description.adminUpdate citation details during checkdate report - ACen_US
dc.date.updated2019-08-15T12:53:41Z-
dc.identifier.grantidSFI/15/SPP/E3125-
item.fulltextWith Fulltext-
item.grantfulltextopen-
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Energy Institute Research Collection
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