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dc.contributor.authorGangolells Solanellas, Marta
dc.contributor.authorCasals Casanova, Miquel
dc.contributor.authorFerré Bigorra, Jaume
dc.contributor.authorForcada Matheu, Nuria
dc.contributor.authorMacarulla Martí, Marcel
dc.contributor.authorGaspar Fábregas, Kàtia
dc.contributor.authorTejedor Herrán, Blanca
dc.date.accessioned2021-09-30T08:26:46Z
dc.date.available2021-09-30T08:26:46Z
dc.date.issued2020-01
dc.identifier.citationGangolells Solanellas, M., Casals Casanova, M., Ferré Bigorra, J., Forcada Matheu, N., Macarulla Martí, M., Gaspar Fábregas, K. y Tejedor Herrán, B. (2020). Office representatives for cost-optimal energy retrofitting analysis: A novel approach using cluster analysis of energy performance certificate databases. Energy and Buildings, 206, 109557. https://doi.org/10.1016/j.enbuild.2019.109557es
dc.identifier.issn03787788
dc.identifier.urihttp://hdl.handle.net/20.500.12251/1961
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. Due to the large number of missing values in the database, the k-means clustering algorithm was finally performed over 6,083 energy performance certificates. 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. © 2019es
dc.language.isoenges
dc.publisherElsevier Ltdes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleOffice representatives for cost-optimal energy retrofitting analysis: A novel approach using cluster analysis of energy performance certificate databaseses
dc.typearticlees
dc.identifier.doi10.1016/j.enbuild.2019.109557
dc.identifier.urlhttps://doi.org/10.1016/j.enbuild.2019.109557es
dc.journal.titleEnergy and Buildingses
dc.rights.accessRightsopenAccesses
dc.subject.keywordAnálisis coste-beneficioes
dc.subject.keywordGestión de costeses
dc.subject.keywordEdificio de oficinases
dc.subject.keywordRendimiento energéticoes
dc.subject.keywordEdificación industriales
dc.subject.keywordGestión de proyectoses
dc.subject.keywordRehabilitación energéticaes
dc.subject.keywordParque inmobiliarioes
dc.subject.keywordCertificado de rendimiento energético (EPC)es
dc.subject.keywordSimulación energética - herramientases
dc.subject.unesco3305.17 Edificios Industriales y Comercialeses
dc.subject.unesco3305.90 Transmisión de Calor en la Edificaciónes
dc.subject.unesco2501.21 Simulación Numéricaes
dc.subject.unesco5311.02 Gestión Financieraes
dc.subject.unesco3305.01 Diseño Arquitectónicoes
dc.volume.number206es
dc.item.number109557es


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