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dc.contributor.authorFernández Luzuriaga, Jon
dc.contributor.authorDel Portillo Valdés, Luis Alfonso ORCID
dc.contributor.authorFlores Abascal, Iván
dc.date.accessioned2024-02-08T10:26:08Z
dc.date.available2024-02-08T10:26:08Z
dc.date.issued2020-04-29
dc.identifier.citationEnergy and Buildings 221 : (2020) // Article ID 110082
dc.identifier.issn0378-7788
dc.identifier.issn1872-6178
dc.identifier.urihttp://hdl.handle.net/10810/65306
dc.description.abstractAbstract: In the current transition towards a net-zero GHG emissions economy, residential building sector is one of the sectors with highest potential for energy efficiency. In order to assist the implementation of energy saving policies, in which the role of local authorities is crucial, the bottom-up engineering approach is the most suitable method for a reliable characterisation of the energy consumption in an existing building stock. In the present paper a methodology is proposed to characterise the space heating energy consumption of a residential stock at city level, based on archetype buildings. The methodology is focused on addressing the challenges which often such approach involves. An evidence-based calibration procedure is proposed to address occupant behavioural patterns. Attention is also given to the constructed models results validation process, by comparing them with collected real data. The methodology is applied to the residential building stock of the city of Bilbao, where seventeen typologies of archetype buildings are constructed. The results demonstrate the practicability of accurately reproducing the existing space heating energy consumption of a city-scale residential building stock with available public data sources. The methodology has been conceived to be easily replicable to any cityes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectbuilding stock modellinges_ES
dc.subjectarchetype buildingses_ES
dc.subjectresidential sectores_ES
dc.subjectenergy efficiencyes_ES
dc.subjectspace heatinges_ES
dc.titleA novel residential heating consumption characterisation approach at city level from available public data: Description and case studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2020 Elsevier under CC BY-NC-ND license
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0378778819331512
dc.identifier.doi10.1016/j.enbuild.2020.110082
dc.departamentoesIngeniería Energéticaes_ES
dc.departamentoeuEnergia Ingenieritzaes_ES


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© 2020 Elsevier under CC BY-NC-ND license
Except where otherwise noted, this item's license is described as © 2020 Elsevier under CC BY-NC-ND license