The integrating the digital passport with artificial intelligence and other digital technologies
Analysis of benefits and challenges
DOI:
https://doi.org/10.46421/euroelecs.v6.7876Keywords:
Artificial intelligence, BIM, Circular Economy, Data AnalysisAbstract
Digital Material Passports (DMPs) are digital tools that gather essential data about the composition, performance, and origin of materials, enabling their traceability, reuse, and recycling in the construction sector. This article investigates how Artificial Intelligence (AI) can optimize the creation, analysis, and application of DMPs, promoting more sustainable and circular practices. The adopted methodology is a qualitative analysis with a systematic and exploratory review, based on an integrative literature review focused on digital technologies such as BIM and AI applications in the context of civil construction. The results indicate that machine learning and natural language processing techniques can automate passport generation, identify performance patterns, and ensure real-time regulatory compliance. The integration between AI and DMPs helps reduce waste, enhance material traceability, and support decision-making in sustainable projects. Therefore, this research contributes to the understanding of AI’s transformative role in improving efficiency and sustainability throughout the materials’ life cycle, enabling the integration of circular practices in construction and other sectors.
References
ATTA, I.; BAKHOUM, E. S.; MARZOUK, M. M. Digitizing material passport for sustainable construction projects using BIM. Journal of Building Engineering, Egito, v. 43, n. 3, p. 1–1, 3 set. 2021.
BELLINI, A. et al. Barriers for data management as an enabler of circular economy: an exploratory study of the Norwegian AEC-industry. Emerging Concepts for Sustainable Built Environment (SBEfin2022), Noruega, 2022, v. 77, 15 out. 2022. IOP Conference Series: Earth and Environmental Science, p. 1–11.
ÇETIN, S.; STRAUB, A.; GRUIS, V.; RAGHU, D.; HONIC, M. Digitalization for a circular economy in the building industry: Multiple-case study of Dutch social housing organizations. Journal of Cleaner Production, Países Baixos/Suíça, 2023, v. 40, n. 230, 11 set. 2023. Resources, Conservation & Recycling Advances, p. 422–437.
FERREIRA ALVES, G. Passaporte de Materiais a partir de modelagem da informação da construção: aplicação utilizando Revit e Dynamo. 2023. 132 p. Dissertação (Mestrado em Engenharia Civil) — Universidade Federal do Paraná, Curitiba, 2023.
HANSEN, K.; BRAUNGART, M.; MULHALL, D. Materials Passports: Optimizing value recovery from materials. ICE Publishing, v. 170, n. 1, p. 1–4, 2016b. Resource Re-Pletion. Role of Buildings. In: The Springer Encyclopedia of Sustainability Science and Technology. Sustainable Built Environments. New York: Springer, 2012. p. 502–525.
MORAIS, G. A. T. de; ALMEIDA FILHO, A. T. de; PALHA, R. P. BIM para gerenciamento, operação e manutenção de instalações: revisão cientométrica e sistemática. Ambiente Construído, Porto Alegre, v. 24, e.131575, jan./dez. 2024.
MUNARO, M. R.; TAVARES, S. F. O passaporte de materiais de construção: solução circular em edificações como banco de materiais. In: Encontro Nacional De Tecnologia Do Ambiente Construído, 17., 2018, Foz do Iguaçu. Anais... Porto Alegre: ANTAC, 2018.
OMPUSUNGGUA, A. P.; TJAHJOWIDODO, T.; WICAKSANO, H. Causal AI-powered digital product passports for enabling a circular and sustainable manufacturing ecosystem. In: 12th International Conference on Through-life Engineering Services – TESConf2024, 6–7 jun. 2024, Cranfield, UK.
PAGE, M. J.; MCKENZIE, J. E.; BOSSUYT, P. M.; BOUTRON, I.; HOFFMANN, T. C.; MULROW, C. D. et al. A declaração PRISMA 2020: diretriz atualizada para relatar revisões sistemáticas. Rev Panam Salud Publica, v. 46, e112, 2022. Disponível em: https://doi.org/10.26633/RPSP.2022.112. Acesso em: 11 maio 2025.
PEREIRO, X. et al. BIM methodology for cost analysis, sustainability, and management of steel structures with reconfigurable joints for industrial structures. Journal of Building Engineering, Espanha, 2023, v. 77, n. 456, 15 out. 2023. Resources, Conservation & Recycling Advances, p. 480–498.
PETHERSON, E. et al. Inteligência Artificial na Gestão de estoque. Logística, São Paulo, v. 1, p. 1–17, 17 set. 2021.
SUCIU, G.; PETRE, I.; STALIDI, C. Urban transformation processes and material stock techniques to facilitate circular economy and urban resilience. In: 2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Bucharest, Romania, 2023, p. 1–5. doi: 10.1109/ECAI58194.2023.10194029.
TURNER, C. et al. Industry 5.0 and the Circular Economy: Utilizing LCA with Intelligent Products. In: 2023 12th International Conference on Through-life Engineering, London, UK, 2022, v. 15, n. 1, p. 1–11, 10 nov. 2022.
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