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dc.contributor.authorBortolini, Rafaela
dc.contributor.authorForcada Matheu, Núria
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria de la Construcció
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció
dc.date.accessioned2019-09-05T08:03:33Z
dc.date.issued2019-11-10
dc.identifier.citationBortolini, R.; Forcada, N. A probabilistic-based approach to support the comfort performance assessment of existing buildings. "Journal of cleaner production", 10 Novembre 2019, vol. 237, p. 117720:1-117720:14.
dc.identifier.issn0959-6526
dc.identifier.urihttp://hdl.handle.net/2117/167918
dc.description.abstractBuilding performance is focused on maintaining and increasing sustainability while enhancing occupants' comfort levels. Occupants' comfort depends on uncertain, interrelated personal, social and building factors. However, the relationships between these factors are not covered by performance assessment tools based on linear analysis approaches. This study proposes a probabilistic model based on Bayesian networks (BNs) to assess the comfort performance of a building. An extensive review and evaluation of the causal factors of building performance, supported by the results of a satisfaction survey, are the basis for the BN model. Sensitivity analysis is used to verify the BN model, and the proposed approach is tested on an existing building. Findings from this research can guide decision-makers in the facility management industry to assess and understand causal factors of occupants’ comfort to properly establish sustainable and cleaner production strategies.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Edificació
dc.subject.lcshBuildings--Performance
dc.subject.lcshBayesian statistical decision theory
dc.subject.lcshBuildings--Environmental aspects
dc.subject.lcshBuildings--Evaluation
dc.subject.otherEnvironmental quality
dc.subject.otherPerformance assessment
dc.subject.otherProbabilistic modeling
dc.subject.otherBayesian networks
dc.titleA probabilistic-based approach to support the comfort performance assessment of existing buildings
dc.typeArticle
dc.subject.lemacEdificis--Comportament
dc.subject.lemacEstadistica bayesiana
dc.subject.lemacEdificis -- Aspectes ambientals
dc.subject.lemacEdificis -- Avaluació
dc.contributor.groupUniversitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció
dc.identifier.doi10.1016/j.jclepro.2019.117720
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0959652619325764
dc.rights.accessRestricted access - publisher's policy
drac.iddocument25820292
dc.description.versionPostprint (author's final draft)
dc.date.lift2021-12-01
upcommons.citation.authorBortolini, R.; Forcada, N.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of cleaner production
upcommons.citation.volume237
upcommons.citation.startingPage117720:1
upcommons.citation.endingPage117720:14


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain