Current trends and challenges in BIM–LCA integration

dc.contributor.authorParece, S.
dc.contributor.authorResende, R.
dc.contributor.authorRato, V.
dc.contributor.editorDomingos, Leonor Marques Mano
dc.contributor.editorSousa, Maria José
dc.date.accessioned2026-01-12T10:32:14Z
dc.date.issued2025
dc.date.updated2026-01-12T10:28:12Z
dc.description.abstractBuilding information modelling (BIM) optimises life cycle assessment (LCA) processes by automating the detailed extraction of quantities from BIM models and reducing labour-intensive processes. However, it is difficult to identify the most effective and accurate BIM-based LCA approach, which depends on the design phase, the maturity of the BIM information, modelling techniques and the overall goal of the LCA. Additionally, there is a shortage of systematic knowledge regarding the present obstacles and potential directions for BIM-based LCA. This article conducts a systematic literature review analysing 65 publications between 2013 and 2024, using scientometry techniques and detailed content analysis. The results show that current methods still require many manual processes that can be automated, namely the BoQ edition and mapping of LCA data; do not allow for continuous monitoring of environmental impacts throughout the design stages; and are not adapted to renovation or refurbishment BIM models. Furthermore, although LCA and the circular economy are directly related concepts, there is a lack of research into how circular economy strategies quantitatively influence LCA results and methods.eng
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.event.locationBoca Ratoneng
dc.identifier.isbn978-1-032-65678-6
dc.identifier.urihttp://hdl.handle.net/10071/35889
dc.language.isoeng
dc.pagination187 - 218
dc.peerreviewedyes
dc.publisherCRC Press
dc.relationinfo:eu-repo/grantAgreement/FCT//PRT%2FBD%2F154261%2F2022/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F04466%2F2020/PT
dc.relation.ispartofSwarm Intelligence applications for the cities of the future
dc.rightsopen access
dc.titleCurrent trends and challenges in BIM–LCA integrationeng
dc.typebookPart
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85216749269
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-106761

Ficheiros

Pacote original

A mostrar 1 - 1 de 1
A carregar...
Nome:
bookPart_106761.pdf
Tamanho:
1.91 MB
Formato:
Adobe Portable Document Format
Descrição:
Versão Aceite