Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/30652
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dc.contributor.authorMastrucci, A.-
dc.contributor.authorNiamir, L.-
dc.contributor.authorBoza-Kiss, B.-
dc.contributor.authorBento, N.-
dc.contributor.authorWiedenhofer, D.-
dc.contributor.authorStreeck, J.-
dc.contributor.authorPachauri, S.-
dc.contributor.authorWilson, C.-
dc.contributor.authorChatterjee, S.-
dc.contributor.authorCreutzig, F.-
dc.contributor.authorDukkipati, S.-
dc.contributor.authorFeng, W.-
dc.contributor.authorGrubler, A.-
dc.contributor.authorJupesta, J.-
dc.contributor.authorKumar, P.-
dc.contributor.authorMarangoni, G.-
dc.contributor.authorSaheb, Y.-
dc.contributor.authorShimoda, Y.-
dc.contributor.authorShoai-Tehrani, B.-
dc.contributor.authorYamaguchi, Y.-
dc.contributor.authorvan Ruijven, B.-
dc.date.accessioned2024-01-29T11:25:32Z-
dc.date.available2024-01-29T11:25:32Z-
dc.date.issued2023-
dc.identifier.citationMastrucci, A., Niamir, L., Boza-Kiss, B., Bento, N., Wiedenhofer, D., Streeck, J., Pachauri, S., Wilson, C., Chatterjee, S., Creutzig, F., Dukkipati, S., Feng, W., Grubler, A., Jupesta, J., Kumar, P., Marangoni, G., Saheb, Y., Shimoda, Y., Shoai-Tehrani, B., Yamaguchi, Y., & van Ruijven, B. (2023). Modeling low energy demand futures for buildings: Current state and research needs. Annual Review of Environment and Resources, 48, 761-792. https://dx.doi.org/10.1146/annurev-environ-112321-102921-
dc.identifier.issn1543-5938-
dc.identifier.urihttp://hdl.handle.net/10071/30652-
dc.description.abstractBuildings are key in supporting human activities and well-being by providing shelter and other important services to their users. Buildings are, however, also responsible for major energy use and greenhouse gas (GHG) emissions during their life cycle. Improving the quality of services provided by buildings while reaching low energy demand (LED) levels is crucial for climate and sustainability targets. Building sector models have become essential tools for decision support on strategies to reduce energy demand and GHG emissions. Yet current models have significant limitations in their ability to assess the transformations required for LED.We review building sector models ranging from the subnational to the global scale to identify best practices and critical gaps in representing transformations toward LED futures. We focus on three key dimensions of intervention (socio-behavioral, infrastructural, and technological), three megatrends (digitalization, sharing economy, and circular economy), and decent living standards. This review recommends the model developments needed to better assess LED transformations in buildings and support decision-making toward sustainability targets.eng
dc.language.isoeng-
dc.publisherAnnual Reviews-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/101003083/EU-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/741950/EU-
dc.relation101056810-
dc.rightsopenAccess-
dc.subjectResidential and commercialeng
dc.subjectClimate change mitigationeng
dc.subjectScenarios developmenteng
dc.subjectEnergy demand transformationeng
dc.subjectMegatrendseng
dc.subjectDecent living standardseng
dc.titleModeling low energy demand futures for buildings: Current state and research needseng
dc.typearticle-
dc.pagination761 - 792-
dc.peerreviewedyes-
dc.volume48-
dc.date.updated2024-01-29T11:24:36Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1146/annurev-environ-112321-102921-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Terra e do Ambientepor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Geografia Económica e Socialpor
iscte.subject.odsEnergias renováveis e acessíveispor
iscte.subject.odsCidades e comunidades sustentáveispor
iscte.subject.odsAção climáticapor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-98768-
iscte.alternateIdentifiers.wosWOS:001101629000028-
iscte.alternateIdentifiers.scopus2-s2.0-85179390261-
iscte.journalAnnual Review of Environment and Resources-
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