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dc.contributor.authorHernández García, José Luis
dc.contributor.authorMiguel Jiménez, Ignacio de 
dc.contributor.authorVelez Jaramillo, Jhon Fredy 
dc.contributor.authorVasallo Belver, Ali 
dc.date.accessioned2024-08-26T09:30:12Z
dc.date.available2024-08-26T09:30:12Z
dc.date.issued2024
dc.identifier.citationRenewable and Sustainable Energy Reviews, 2024, vol. 199, 114472es
dc.identifier.issn1364-0321es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/69455
dc.descriptionProducción Científicaes
dc.description.abstractThe substantial stock of European buildings, accounting for more than 40% of energy consumption, has prompted member states to establish a renovation standard with stringent performance criteria. As advancing into the era of digital transformation, the concept of smart buildings emerges as a solution to create sustainable, efficient, resilient, active, and comfortable living and working spaces. This is achieved through intelligent resource use optimization, including the smart management of energy production, storage and distribution systems. Smart buildings operate by harnessing monitoring data and leveraging artificial intelligence algorithms and big data techniques. The integration of monitoring data with contextual information, such as building information modelling, physics, or simulation models, enhances the intelligent management of resources. Moreover, the incorporation of metrics like the smart readiness indicator promotes the adoption of smart buildings. This study delves into the significance of these techniques, expanding on existing research in the field of smart buildings. It integrates concepts of data enrichment, smartness, and user-centric approaches. Key findings provide insights into future opportunities within the sector, emphasizing the need for user awareness strategies, the development of new smart algorithms, and services that incorporate contextual data and the smart readiness indicator. The study also advocates for the widespread adoption of building digital twins.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.classificationSmart buildingses
dc.subject.classificationArtificial intelligencees
dc.subject.classificationEnergy management algorithmses
dc.subject.classificationGrid-connected buildingses
dc.subject.classificationBuilding information modellinges
dc.subject.classificationSmart readiness indicatores
dc.titleChallenges and opportunities in European smart buildings energy management: A critical reviewes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2024 The Authors
dc.identifier.doi10.1016/j.rser.2024.114472es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1364032124001953es
dc.identifier.publicationfirstpage114472es
dc.identifier.publicationtitleRenewable and Sustainable Energy Reviewses
dc.identifier.publicationvolume199es
dc.peerreviewedSIes
dc.description.projectEuropean Commission for the EU projects DigiBUILD (GA 101069658), BuiltHub (GA 957026), BuildSpace (GA 101082575), ATELIER (GA 864374) and BRESAER (GA 637186)es
dc.description.projectMinisterio de Ciencia e Innovación/Agencia Estatal de Investigación (Proyecto PID2020-112675RB-C42 financiado por MCIN/AEI/10.13039/501100011033)es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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