A BIM-based tool for embodied carbon assessment using a construction classification system
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10071/31889 |
Summary: | Life Cycle Assessment (LCA) is widely accepted for evaluating a building's environmental footprint. Building Information Modelling (BIM) has become the go-to strategy for LCA during design. Still, despite BIM-LCA automating detailed quantity extraction, challenges persist, such as a lack of standardised geometry modelling and information management, as well as a common language between LCA and BIM data. This study proposes a method to assess embodied carbon from BIM models classified using a construction classification system that provides a data structure, maps BIM objects and environmental impacts in LCA databases, and matches different levels of development (LoD) in BIM models. The method was tested on real-world models, resulting in 375 kgCO2e/m2 for the single residential and 426 kgCO2e/m2 for the multi-residential building. These findings revealed its ability to adapt to different LoD and modelling techniques, expedite assessing different design options, and potentially save up to 20 hours of work remodelling. |
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A BIM-based tool for embodied carbon assessment using a construction classification systemLife cycle assessment (LCA)Building information modelling (BIM)Embodied carbonConstruction classification systemSECClasSUniclassLife Cycle Assessment (LCA) is widely accepted for evaluating a building's environmental footprint. Building Information Modelling (BIM) has become the go-to strategy for LCA during design. Still, despite BIM-LCA automating detailed quantity extraction, challenges persist, such as a lack of standardised geometry modelling and information management, as well as a common language between LCA and BIM data. This study proposes a method to assess embodied carbon from BIM models classified using a construction classification system that provides a data structure, maps BIM objects and environmental impacts in LCA databases, and matches different levels of development (LoD) in BIM models. The method was tested on real-world models, resulting in 375 kgCO2e/m2 for the single residential and 426 kgCO2e/m2 for the multi-residential building. These findings revealed its ability to adapt to different LoD and modelling techniques, expedite assessing different design options, and potentially save up to 20 hours of work remodelling.Elsevier2024-06-18T09:44:18Z2024-01-01T00:00:00Z20242024-06-18T10:42:13Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/31889eng2666-165910.1016/j.dibe.2024.100467Parece, S.Resende, R.Rato, V.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T03:24:17Zoai:repositorio.iscte-iul.pt:10071/31889Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:22:51.433936Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
A BIM-based tool for embodied carbon assessment using a construction classification system |
title |
A BIM-based tool for embodied carbon assessment using a construction classification system |
spellingShingle |
A BIM-based tool for embodied carbon assessment using a construction classification system Parece, S. Life cycle assessment (LCA) Building information modelling (BIM) Embodied carbon Construction classification system SECClasS Uniclass |
title_short |
A BIM-based tool for embodied carbon assessment using a construction classification system |
title_full |
A BIM-based tool for embodied carbon assessment using a construction classification system |
title_fullStr |
A BIM-based tool for embodied carbon assessment using a construction classification system |
title_full_unstemmed |
A BIM-based tool for embodied carbon assessment using a construction classification system |
title_sort |
A BIM-based tool for embodied carbon assessment using a construction classification system |
author |
Parece, S. |
author_facet |
Parece, S. Resende, R. Rato, V. |
author_role |
author |
author2 |
Resende, R. Rato, V. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Parece, S. Resende, R. Rato, V. |
dc.subject.por.fl_str_mv |
Life cycle assessment (LCA) Building information modelling (BIM) Embodied carbon Construction classification system SECClasS Uniclass |
topic |
Life cycle assessment (LCA) Building information modelling (BIM) Embodied carbon Construction classification system SECClasS Uniclass |
description |
Life Cycle Assessment (LCA) is widely accepted for evaluating a building's environmental footprint. Building Information Modelling (BIM) has become the go-to strategy for LCA during design. Still, despite BIM-LCA automating detailed quantity extraction, challenges persist, such as a lack of standardised geometry modelling and information management, as well as a common language between LCA and BIM data. This study proposes a method to assess embodied carbon from BIM models classified using a construction classification system that provides a data structure, maps BIM objects and environmental impacts in LCA databases, and matches different levels of development (LoD) in BIM models. The method was tested on real-world models, resulting in 375 kgCO2e/m2 for the single residential and 426 kgCO2e/m2 for the multi-residential building. These findings revealed its ability to adapt to different LoD and modelling techniques, expedite assessing different design options, and potentially save up to 20 hours of work remodelling. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-06-18T09:44:18Z 2024-01-01T00:00:00Z 2024 2024-06-18T10:42:13Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/31889 |
url |
http://hdl.handle.net/10071/31889 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2666-1659 10.1016/j.dibe.2024.100467 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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