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- Publisher Website: 10.1016/j.buildenv.2023.110492
- Scopus: eid_2-s2.0-85163957470
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Article: Integrating IoT and BIM for tracking and visualising embodied carbon of prefabricated buildings
| Title | Integrating IoT and BIM for tracking and visualising embodied carbon of prefabricated buildings |
|---|---|
| Authors | |
| Keywords | Building information modelling Embodied carbon monitoring Internet of things Low-carbon construction Prefabrication |
| Issue Date | 15-Aug-2023 |
| Publisher | Elsevier |
| Citation | Building and Environment, 2023, v. 242 How to Cite? |
| 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. |
| Persistent Identifier | http://hdl.handle.net/10722/342179 |
| ISSN | 2021 Impact Factor: 7.093 2020 SCImago Journal Rankings: 1.736 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Xu, Jiayi | - |
| dc.contributor.author | Zhang, Qiqi | - |
| dc.contributor.author | Teng, Yue | - |
| dc.contributor.author | Pan, Wei | - |
| dc.date.accessioned | 2024-04-17T03:49:49Z | - |
| dc.date.available | 2024-04-17T03:49:49Z | - |
| dc.date.issued | 2023-08-15 | - |
| dc.identifier.citation | Building and Environment, 2023, v. 242 | - |
| dc.identifier.issn | 0360-1323 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/342179 | - |
| dc.description.abstract | <p>The building sector significantly contributes to <a href="https://www.sciencedirect.com/topics/engineering/embodied-carbon" title="Learn more about embodied carbon from ScienceDirect's AI-generated Topic Pages">embodied carbon</a> (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 <a href="https://www.sciencedirect.com/topics/engineering/monitoring-system" title="Learn more about monitoring system from ScienceDirect's AI-generated Topic Pages">monitoring system</a> for tracking and visualising prefabricated buildings’ EC at multiple spatiotemporal levels by integrating the <a href="https://www.sciencedirect.com/topics/engineering/internet-of-things" title="Learn more about Internet of Things from ScienceDirect's AI-generated Topic Pages">Internet of Things</a> (IoT) and <a href="https://www.sciencedirect.com/topics/engineering/building-information-modeling" title="Learn more about Building Information Modelling from ScienceDirect's AI-generated Topic Pages">Building Information Modelling</a> (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.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation.ispartof | Building and Environment | - |
| dc.subject | Building information modelling | - |
| dc.subject | Embodied carbon monitoring | - |
| dc.subject | Internet of things | - |
| dc.subject | Low-carbon construction | - |
| dc.subject | Prefabrication | - |
| dc.title | Integrating IoT and BIM for tracking and visualising embodied carbon of prefabricated buildings | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1016/j.buildenv.2023.110492 | - |
| dc.identifier.scopus | eid_2-s2.0-85163957470 | - |
| dc.identifier.volume | 242 | - |
| dc.identifier.eissn | 1873-684X | - |
| dc.identifier.issnl | 0360-1323 | - |