A probabilistic-based approach to support the comfort performance assessment of existing buildings

Bortolini, Rafaela; Forcada Matheu, Núria

doi:10.1016/j.jclepro.2019.117720

dc.contributor.author	Bortolini, Rafaela
dc.contributor.author	Forcada Matheu, Núria
dc.contributor.other	Universitat Politècnica de Catalunya. Doctorat en Enginyeria de la Construcció
dc.contributor.other	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció
dc.date.accessioned	2019-09-05T08:03:33Z
dc.date.issued	2019-11-10
dc.identifier.citation	Bortolini, 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.issn	0959-6526
dc.identifier.uri	http://hdl.handle.net/2117/167918
dc.description.abstract	Building 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.iso	eng
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Edificació
dc.subject.lcsh	Buildings--Performance
dc.subject.lcsh	Bayesian statistical decision theory
dc.subject.lcsh	Buildings--Environmental aspects
dc.subject.lcsh	Buildings--Evaluation
dc.subject.other	Environmental quality
dc.subject.other	Performance assessment
dc.subject.other	Probabilistic modeling
dc.subject.other	Bayesian networks
dc.title	A probabilistic-based approach to support the comfort performance assessment of existing buildings
dc.type	Article
dc.subject.lemac	Edificis--Comportament
dc.subject.lemac	Estadistica bayesiana
dc.subject.lemac	Edificis -- Aspectes ambientals
dc.subject.lemac	Edificis -- Avaluació
dc.contributor.group	Universitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció
dc.identifier.doi	10.1016/j.jclepro.2019.117720
dc.description.peerreviewed	Peer Reviewed
dc.relation.publisherversion	https://www.sciencedirect.com/science/article/pii/S0959652619325764
dc.rights.access	Restricted access - publisher's policy
drac.iddocument	25820292
dc.description.version	Postprint (author's final draft)
dc.date.lift	2021-12-01
upcommons.citation.author	Bortolini, R.; Forcada, N.
upcommons.citation.published	true
upcommons.citation.publicationName	Journal of cleaner production
upcommons.citation.volume	237
upcommons.citation.startingPage	117720:1
upcommons.citation.endingPage	117720:14