Modeling low energy demand futures for buildings: Current state and research needs

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.date.updated2024-01-29T11:24:36Z
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.description.versioninfo:eu-repo/semantics/publishedVersion
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.doi10.1146/annurev-environ-112321-102921
dc.identifier.issn1543-5938
dc.identifier.urihttp://hdl.handle.net/10071/30652
dc.language.isoeng
dc.pagination761 - 792
dc.peerreviewedyes
dc.publisherAnnual Reviews
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/101003083/EU
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/741950/EU
dc.relation101056810
dc.rightsopen access
dc.subjectResidential and commercialeng
dc.subjectClimate change mitigationeng
dc.subjectScenarios developmenteng
dc.subjectEnergy demand transformationeng
dc.subjectMegatrendseng
dc.subjectDecent living standardseng
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Terra e do Ambientepor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Geografia Económica e Socialpor
dc.titleModeling low energy demand futures for buildings: Current state and research needseng
dc.typearticle
dc.volume48
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85179390261
iscte.alternateIdentifiers.wosWOS:001101629000028
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-98768
iscte.journalAnnual Review of Environment and Resources
iscte.subject.odsEnergias renováveis e acessíveispor
iscte.subject.odsCidades e comunidades sustentáveispor
iscte.subject.odsAção climáticapor

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