An Automated Linked Data Approach for Integrating a TGO Embodied Carbon Emissions Material Database with BIM Models
18
Issued Date
2025-01-01
Resource Type
Scopus ID
2-s2.0-105008758621
Journal Title
IABSE Symposium Tokyo 2025 Environmentally Friendly Technologies and Structures Focusing on Sustainable Approaches Report
Start Page
3174
End Page
3182
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SCOPUS
Bibliographic Citation
IABSE Symposium Tokyo 2025 Environmentally Friendly Technologies and Structures Focusing on Sustainable Approaches Report (2025) , 3174-3182
Suggested Citation
Khan M.A., Punurai W., Pratharnsap T. An Automated Linked Data Approach for Integrating a TGO Embodied Carbon Emissions Material Database with BIM Models. IABSE Symposium Tokyo 2025 Environmentally Friendly Technologies and Structures Focusing on Sustainable Approaches Report (2025) , 3174-3182. 3182. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/110980
Title
An Automated Linked Data Approach for Integrating a TGO Embodied Carbon Emissions Material Database with BIM Models
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Abstract
The construction industry accounts for 40% of global energy consumption and greenhouse gases emission, emphasizing the need for sustainable solutions. This research proposes an automated BIM-based approach to optimize embodied carbon (EC) and material costs at the production stage (A1-A3) by incorporating low-carbon materials during the design phase. Using Dynamo scripts, it connects the Thailand Greenhouse Gas Management Organization materials database and costs with Revit models to quickly and accurately calculate the embodied carbon and cost values. A case study of a two-storey residential building was analyzed. The embodied carbon and cost values are significantly reduced from 309.47 kgCO<inf>2</inf>e/m<sup>2</sup> and 3929.81 THB/m<sup>2</sup> to 265.25 kgCO<inf>2</inf>e/m<sup>2</sup> and 3581.68 THB/m<sup>2</sup> resulting in a total reduction of 14.30% and 8.85% respectively. The results are visualized in Power BI to support environmentally conscious design decisions.