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dc.contributor.authorGangolells Solanellas, Marta
dc.contributor.authorCasals Casanova, Miquel
dc.contributor.authorFerré Bigorra, Jaume
dc.contributor.authorForcada Matheu, Núria
dc.contributor.authorMacarulla Martí, Marcel
dc.contributor.authorGaspar Fàbregas, Kàtia
dc.contributor.authorTejedor Herrán, Blanca
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Ambiental
dc.date.accessioned2019-11-13T13:53:56Z
dc.date.available2019-11-13T13:53:56Z
dc.date.issued2020-01-01
dc.identifier.citationGangolells, M. [et al.]. Office representatives for cost-optimal energy retrofitting analysis: a novel approach using cluster analysis of energy performance certificate databases. "Energy and buildings", 1 Gener 2020, vol. 206, p. 109557:1-109557:9.
dc.identifier.issn0378-7788
dc.identifier.urihttp://hdl.handle.net/2117/172331
dc.description.abstractA large number of buildings must be evaluated to formulate energy retrofitting policies for existing building stock. In this context, it is crucial to identify reference buildings that can effectively represent the entire stock, since such buildings can then be used to assess the individualized cost-effectiveness of retrofitting measures. This paper presents a novel approach for identifying and defining a set of reference buildings by applying the k-means clustering method to energy performance certificate databases. To this end, a four-step methodology has been envisaged. First, an energy performance certificate database is prepared and variables that have an impact on energy consumption are pre-selected. Selected data are then pre-processed. Next, the k-means clustering method is applied. Finally, the resulting cluster centroids are used to identify the closest energy performance certificates in the database, in other words, the representative buildings that will then be used for cost-optimal retrofitting analysis. The methodology is illustrated using the energy performance certificate database managed by the Catalan Institute of Energy (ICAEN), which includes a sample of 13,701 offices. Seven representative office blocks and offices in industrial buildings and nine representative offices in residential buildings were identified. The results establish the basis for supporting strategic decision-making for energy saving retrofit interventions in existing Spanish offices.
dc.language.isoeng
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Edificació
dc.subject.lcshOffice buildings--Energy conservation
dc.subject.lcshOffice buildings--Environmental aspects
dc.subject.othercluster analysis
dc.subject.otherk-means
dc.subject.otherreference buildings
dc.subject.otheroffices
dc.subject.otherenergy performance certificates
dc.titleOffice representatives for cost-optimal energy retrofitting analysis: a novel approach using cluster analysis of energy performance certificate databases
dc.typeArticle
dc.subject.lemacEdificis d'oficines -- Consum d'energia
dc.contributor.groupUniversitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció
dc.identifier.doi10.1016/j.enbuild.2019.109557
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0378778819316810
dc.rights.accessOpen Access
local.identifier.drac25960155
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/BIA2016-75382-R
local.citation.authorGangolells, M.; Casals, M.; Ferré-Bigorra, J.; Forcada, N.; Macarulla, M.; Gaspar, K.; Tejedor, B.
local.citation.publicationNameEnergy and buildings
local.citation.volume206
local.citation.startingPage109557:1
local.citation.endingPage109557:9


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