| Title | Internet of Things for building facade traceability: A theoretical framework to enable circular economy through life-cycle information flows |
|---|---|
| ID_Doc | 4334 |
| Authors | Giovanardi, M; Konstantinou, T; Pollo, R; Klein, T |
| Title | Internet of Things for building facade traceability: A theoretical framework to enable circular economy through life-cycle information flows |
| Year | 2023 |
| Published | |
| Abstract | Traceability is considered a crucial requirement to enable Circular Economy (CE). Product and process life-cycle data can facilitate circular asset management preserving the asset's value over time and reducing resource consumption. Many scholars point out how the loss of traceability data, lacking information reliability, and unstructured data are still barriers to the widespread application of CE. In the building facade sector, an increased interest on traceability is dictated by a growing demand for environmental product certifications. However, these aspects are often limited to collect data at supply chain stage, thus neglecting a huge amount of information produced during the asset service life. To foster an accessible and life-cycle oriented asset traceability, this research investigates the Internet of Things (IoT) as a potentially disruptive technology for supporting information management. The objective of this work is twofold: (i) to identify what facade life-cycle information is needed to promote CE and (ii) to clarify the enabling role of IoT in tracking, storing, and sharing such information. Through a scoping review combined with interviews to professionals, a theoretical framework structured on four key elements (stakeholders, information list, information management tools, and IoT) is proposed to fill the literature gap and support facade industry in the circular transition. Further research will have to be conducted to face the digital-physical integration issues and develop business models able to fully exploit traceability information value. |
| https://doi.org/10.1016/j.jclepro.2022.135261 |
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