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A platform for research: civil engineering, architecture and urbanism
Integrating IoT and BIM for tracking and visualising embodied carbon of prefabricated buildings
https://orcid.org/0000-0002-2720-3073
Abstract The building sector significantly contributes to embodied carbon (EC) emissions. Usually, a pre- or post-construction assessment is conducted for analysing prefabricated buildings' EC. However, actual EC may differ from estimated values, and a lack of real-time EC monitoring method makes it difficult to determine the causes and take prompt actions if an unexpected deviation is found after construction. Therefore, this paper develops an EC monitoring system for tracking and visualising prefabricated buildings’ EC at multiple spatiotemporal levels by integrating the Internet of Things (IoT) and Building Information Modelling (BIM). Infrastructure, computing, and application layers were designed to form the system. The developed system proved effective and efficient in formulating prompt and reasonable carbon control measures and conducting comprehensive carbon analysis using a real-life prefabricated building in Hong Kong. Feedback provided by the system indicates that construction material is the most significant carbon source, whereas EC generated from transportation and electricity consumption of equipment should not be underestimated. The system advances knowledge in achieving carbon traceability and visibility and depicts a comprehensive carbon distribution map, which should help project managers and government authorities with effective carbon strategies.
Highlights Integrating IoT and BIM is found to enhance buildings' carbon traceability and visibility. An embodied carbon (EC) monitoring system for prefabricated buildings is developed. Prefabricated buildings' EC is examined at multi-spatiotemporal levels. Material is identified as the largest carbon source for constructing precast elements. EC generated from transportation and equipment should not be underestimated.
Integrating IoT and BIM for tracking and visualising embodied carbon of prefabricated buildings
https://orcid.org/0000-0002-2720-3073
Abstract The building sector significantly contributes to embodied carbon (EC) emissions. Usually, a pre- or post-construction assessment is conducted for analysing prefabricated buildings' EC. However, actual EC may differ from estimated values, and a lack of real-time EC monitoring method makes it difficult to determine the causes and take prompt actions if an unexpected deviation is found after construction. Therefore, this paper develops an EC monitoring system for tracking and visualising prefabricated buildings’ EC at multiple spatiotemporal levels by integrating the Internet of Things (IoT) and Building Information Modelling (BIM). Infrastructure, computing, and application layers were designed to form the system. The developed system proved effective and efficient in formulating prompt and reasonable carbon control measures and conducting comprehensive carbon analysis using a real-life prefabricated building in Hong Kong. Feedback provided by the system indicates that construction material is the most significant carbon source, whereas EC generated from transportation and electricity consumption of equipment should not be underestimated. The system advances knowledge in achieving carbon traceability and visibility and depicts a comprehensive carbon distribution map, which should help project managers and government authorities with effective carbon strategies.
Highlights Integrating IoT and BIM is found to enhance buildings' carbon traceability and visibility. An embodied carbon (EC) monitoring system for prefabricated buildings is developed. Prefabricated buildings' EC is examined at multi-spatiotemporal levels. Material is identified as the largest carbon source for constructing precast elements. EC generated from transportation and equipment should not be underestimated.
Integrating IoT and BIM for tracking and visualising embodied carbon of prefabricated buildings
https://orcid.org/0000-0002-2720-3073
Abstract The building sector significantly contributes to embodied carbon (EC) emissions. Usually, a pre- or post-construction assessment is conducted for analysing prefabricated buildings' EC. However, actual EC may differ from estimated values, and a lack of real-time EC monitoring method makes it difficult to determine the causes and take prompt actions if an unexpected deviation is found after construction. Therefore, this paper develops an EC monitoring system for tracking and visualising prefabricated buildings’ EC at multiple spatiotemporal levels by integrating the Internet of Things (IoT) and Building Information Modelling (BIM). Infrastructure, computing, and application layers were designed to form the system. The developed system proved effective and efficient in formulating prompt and reasonable carbon control measures and conducting comprehensive carbon analysis using a real-life prefabricated building in Hong Kong. Feedback provided by the system indicates that construction material is the most significant carbon source, whereas EC generated from transportation and electricity consumption of equipment should not be underestimated. The system advances knowledge in achieving carbon traceability and visibility and depicts a comprehensive carbon distribution map, which should help project managers and government authorities with effective carbon strategies.
Highlights Integrating IoT and BIM is found to enhance buildings' carbon traceability and visibility. An embodied carbon (EC) monitoring system for prefabricated buildings is developed. Prefabricated buildings' EC is examined at multi-spatiotemporal levels. Material is identified as the largest carbon source for constructing precast elements. EC generated from transportation and equipment should not be underestimated.
Integrating IoT and BIM for tracking and visualising embodied carbon of prefabricated buildings
Xu, Jiayi (author) / Zhang, Qiqi (author) / Teng, Yue (author) / Pan, Wei (author)
Building and Environment ; 242
2023-06-02
Article (Journal)
Electronic Resource
English
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