Data requirements and availabilities for material passports

A digitally enabled framework for improving the circularity of existing buildings

Journal Article (2023)
Author(s)

S. Getin (TU Delft - Real Estate Management)

D. Raghu (ETH Zürich)

Meliha Honic (ETH Zürich)

A Straub (TU Delft - Design & Construction Management)

VH Gruis (TU Delft - Real Estate Management)

Research Group
Design & Construction Management
Copyright
© 2023 Sultan Çetin, Deepika Raghu, Meliha Honic, A. Straub, V.H. Gruis
DOI related publication
https://doi.org/10.1016/j.spc.2023.07.011
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Sultan Çetin, Deepika Raghu, Meliha Honic, A. Straub, V.H. Gruis
Research Group
Design & Construction Management
Volume number
40
Pages (from-to)
422-437
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Abstract

Passports for circularity, e.g., digital product passports and material passports (MPs), have gained recognition as essential policy instruments for the Circular Economy goals of the European Union. Despite the growing number of approaches, there is a lack of knowledge about the data requirements and availabilities to create MPs for existing buildings. By deploying a mixed-method research design, this study identified the potential users and their data needs within the context of European social housing organisations. Three rounds of validation interviews with a total of 38 participants were conducted to create a data template for an MP covering maintenance, renovation, and demolition stages. This data template was then tested in a case study from the Netherlands to determine critical data gaps in creating MPs, including, but not limited to the composition of materials, presence of toxic or hazardous contents, condition assessment, and reuse and recycling potential of a product. Finally, an MP framework is proposed to address these data gaps by utilising the capabilities of enabling digital technologies (e.g., artificial intelligence and scanning systems) and supportive knowledge of human actors. This framework supports further research and innovation in data provision in creating MPs to narrow, slow, close, and regenerate the loops.