Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/31889
Author(s): | Parece, S. Resende, R. Rato, V. |
Date: | 2024 |
Title: | A BIM-based tool for embodied carbon assessment using a construction classification system |
Journal title: | Developments in the Built Environment |
Volume: | 19 |
Reference: | Parece, S., Resende, R., & Rato, V. (2024). A BIM-based tool for embodied carbon assessment using a construction classification system. Developments in the Built Environment, 19, Article 100467. http://doi.org/10.1016/j.dibe.2024.100467 |
ISSN: | 2666-1659 |
DOI (Digital Object Identifier): | 10.1016/j.dibe.2024.100467 |
Keywords: | Life cycle assessment (LCA) Building information modelling (BIM) Embodied carbon Construction classification system SECClasS Uniclass |
Abstract: | 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. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Size | Format | |
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article_104357.pdf | 11,63 MB | Adobe PDF | View/Open |
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