Volume 12 • Issue 1 • PP: 58–66 • 2026
Dynamic OpenBIM-LCA Integration for Embodied Carbon Assessment of Structural Systems
Abstract
Embodied-carbon assessment has become an essential component of structural design, yet many life-cycle assessment workflows remain separated from the evolving building information model. This paper proposes a dynamic OpenBIM–LCA framework that connects structural geometry, construction-system material records, and environmental factors within a transparent computational loop. The method extracts element quantities from an IFC-oriented structural model, maps them to a material library, and updates embodied-carbon indicators whenever design variables are modified. The framework enables rapid comparison of structural alternatives, element-level hotspot diagnosis, and sensitivity-based interpretation without requiring a separate assessment model to be rebuilt after each design change. The study demonstrates how BIM quantities and material attributes can be translated into a rigorous carbon-calculation procedure for early-stage decision-making. The contribution lies in transforming BIM from a passive source of schedules into an active environmental decision-support environment for low-carbon structural design.
Keywords
References
[1] T. Dalla Mora, E. Bolzonello, C. Cavalliere, and F. Peron, “Key parameters featuring BIM-LCA integration in buildings: A practical review of the current trends,” Sustainability, vol. 12, no. 17, Article 7182, 2020.
[2] J. Xu, Y. Teng, W. Pan, and Y. Zhang, “BIM-integrated LCA to automate embodied carbon assessment of prefabricated buildings,” Journal of Cleaner Production, vol. 374, Article 133894, 2022.
[3] S. Parece, R. Resende, and V. Rato, “A BIM-based tool for embodied carbon assessment using a construction classification system,” Developments in the Built Environment, vol. 19, Article 100467, 2024.
[4] N. Mowafy, M. El Zayat, and M. M. Marzouk, “Parametric BIM-based life cycle assessment framework for optimal sustainable design,” Journal of Building Engineering, vol. 75, Article 106898, 2023.
[5] M. H. Heydari and G. Heravi, “A BIM-based framework for optimization and assessment of buildings’ cost and carbon emissions,” Journal of Building Engineering, vol. 79, Article 107762, 2023.
[6] T. Yang, Y. Dong, B. Tang, and Z. Xu, “Developing a dynamic life cycle assessment framework for buildings through integrating building information modeling and building energy modeling program,” Science of the Total Environment, vol. 946, Article 174284, 2024.
[7] M. Salati, E. A. Mahdavi, and A. Costa, “A comprehensive review of dynamic life cycle assessment for buildings: Exploring key processes and methodologies,” Sustainability, vol. 17, no. 1, Article 159, 2025.
[8] D. Fang, N. Brown, C. De Wolf, and C. Mueller, “Reducing embodied carbon in structural systems: A review of early-stage design strategies,” Journal of Building Engineering, vol. 76, Article 107054, 2023.
[9] J. H. M. de Paula Filho, M. D’Antimo, M. Charlier, and O. Vassart, “Life-cycle assessment of an office building: Influence of the structural design on the embodied carbon emissions,” Modelling, vol. 5, no. 1, pp. 55–70, 2024.
[10] A. P. Arceo, M. Bastien-Masse, B. Lambec, and C. Fivet, “Digital Inventory of Swiss Construction Systems,” Scientific Data, vol. 12, Article 1814, 2025.
[11] Z. Wang, S. Fuchs, J. Wu, S. Esser, T. Wrabel, and A. Borrmann, “GNI BIM Dataset,” Zenodo, 2026.
[12] H. El Hafdaoui, A. Khallaayoun, I. Bouarfa, and K. Ouazzani, “Machine learning for embodied carbon life cycle assessment of buildings,” Journal of Umm Al- Qura University for Engineering and Architecture, vol. 14, pp. 188–200, 2023.
[13] Z. Liu, Y. Liu, and G. Osmani, “Building Information Modeling (BIM) driven carbon emission reduction research: A 14-year bibliometric analysis,” International Journal of Environmental Research and Public Health, vol. 19, no. 19, Article 12820, 2022.
[14] Y. Zhang, X. Jiang, C. Cui, and M. Skitmore, “BIMbased approach for the integrated assessment of life cycle carbon emission intensity and life cycle costs,” Building and Environment, vol. 226, Article 109691, 2022.
[15] S. K. Yevu, E. K. Owusu, A. P. C. Chan, K. Oti-Sarpong, I. Y. Wuni, and M. O. Tetteh, “Systematic review on the integration of building information modelling and prefabrication construction for low-carbon building delivery,” Building Research & Information, vol. 51, no. 3, pp. 279–300, 2023.
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