Office representatives for cost-optimal energy retrofitting analysis: a novel approach using cluster analysis of energy performance certificate databases

A 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...

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Detalles Bibliográficos
Autores: Gangolells Solanellas, Marta|||0000-0001-7921-595X, Casals Casanova, Miquel|||0000-0001-5379-894X, Ferré Bigorra, Jaume|||0000-0002-0872-9547, Forcada Matheu, Núria|||0000-0003-2109-4205, Macarulla Martí, Marcel|||0000-0002-5469-7291, Gaspar Fàbregas, Kàtia|||0000-0003-3842-1401, Tejedor Herrán, Blanca|||0000-0002-2064-0617
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/172331
Acceso en línea:https://hdl.handle.net/2117/172331
https://dx.doi.org/10.1016/j.enbuild.2019.109557
Access Level:acceso abierto
Palabra clave:Office buildings--Energy conservation
Office buildings--Environmental aspects
cluster analysis
k-means
reference buildings
offices
energy performance certificates
Edificis d'oficines -- Consum d'energia
Àrees temàtiques de la UPC::Edificació
Descripción
Sumario:A 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.