Chapter A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK
Digital Twin (DT) developments and applications in the Architectural Engineering Construction (AEC) Industry are emerging. However, insufficient publications synthesised the existing literature on DT of existing buildings, including energy retrofit and challenges as part of Net-zero strategies. When...
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| Jezik: | engleski |
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Firenze University Press
2024
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| Online pristup: | ONIX_20240402_9791221502893_94 |
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| author | Sobowale, Modupe Elghaish, Faris Brooks, Tara |
| author_browse | Brooks, Tara Elghaish, Faris Sobowale, Modupe |
| author_facet | Sobowale, Modupe Elghaish, Faris Brooks, Tara |
| author_sort | Sobowale, Modupe |
| collection | Directory of Open Access Books |
| description | Digital Twin (DT) developments and applications in the Architectural Engineering Construction (AEC) Industry are emerging. However, insufficient publications synthesised the existing literature on DT of existing buildings, including energy retrofit and challenges as part of Net-zero strategies. When developing DT systems, it is vital to include the existing buildings primarily captured in 2-Dimensions (2-D) static data. To date, the implementation of DT has been minimal in applications in existing buildings in the UK. Despite DT benefits for maintenance (O&M) managers, facilities management (FM) as a comprehensive source of consistent data for predictive maintenance. This study explored the challenges faced by DT adoptions in existing buildings through a systematic review of the extant literature. A systematic approach is adopted to search the Scopus database using relevant keywords such as "Digital Twin.", "Built Environment" and "Existing Buildings.". the study focused on publications from the past five years (2018 to 2023) and prioritised articles in Scopus. The findings of this paper showed that the practitioners, O&M managers, and academics in built environments need more proper knowledge and technical expertise on digital twins as part of Industry 4.0 (I4.0). Evidence from the literature resulted in low empirical case studies and applications. The complexity of real-time data integration and interoperability were highlighted as part of the challenges despite the need for comprehensive knowledge of DT in the built environment. Scarce publication on the study was noted. The directions for comprehensive solutions and future research on digital twin applications in existing buildings towards achieving efficient energy retrofits, cost reductions, and net-zero goals were highlighted |
| format | Online |
| id | doab-20.500.12854ir-137956 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1379562024-05-14T19:36:18Z Chapter A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK Sobowale, Modupe Elghaish, Faris Brooks, Tara Digital Twin BIM Data Buildings Energy Management thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization Digital Twin (DT) developments and applications in the Architectural Engineering Construction (AEC) Industry are emerging. However, insufficient publications synthesised the existing literature on DT of existing buildings, including energy retrofit and challenges as part of Net-zero strategies. When developing DT systems, it is vital to include the existing buildings primarily captured in 2-Dimensions (2-D) static data. To date, the implementation of DT has been minimal in applications in existing buildings in the UK. Despite DT benefits for maintenance (O&M) managers, facilities management (FM) as a comprehensive source of consistent data for predictive maintenance. This study explored the challenges faced by DT adoptions in existing buildings through a systematic review of the extant literature. A systematic approach is adopted to search the Scopus database using relevant keywords such as "Digital Twin.", "Built Environment" and "Existing Buildings.". the study focused on publications from the past five years (2018 to 2023) and prioritised articles in Scopus. The findings of this paper showed that the practitioners, O&M managers, and academics in built environments need more proper knowledge and technical expertise on digital twins as part of Industry 4.0 (I4.0). Evidence from the literature resulted in low empirical case studies and applications. The complexity of real-time data integration and interoperability were highlighted as part of the challenges despite the need for comprehensive knowledge of DT in the built environment. Scarce publication on the study was noted. The directions for comprehensive solutions and future research on digital twin applications in existing buildings towards achieving efficient energy retrofits, cost reductions, and net-zero goals were highlighted 2024-05-14T19:36:16Z 2024-05-14T19:36:16Z 2024-04-02T15:47:18Z 2023 chapter ONIX_20240402_9791221502893_94 2704-5846 https://library.oapen.org/handle/20.500.12657/89125 9791221502893 https://directory.doabooks.org/handle/20.500.12854/137956 eng Proceedings e report open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/89125/1/9791221502893_119.pdf Firenze University Press 10.36253/979-12-215-0289-3.119 10.36253/979-12-215-0289-3.119 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221502893 13 Florence open access |
| spellingShingle | Digital Twin BIM Data Buildings Energy Management thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization Sobowale, Modupe Elghaish, Faris Brooks, Tara Chapter A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK |
| title | Chapter A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK |
| title_full | Chapter A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK |
| title_fullStr | Chapter A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK |
| title_full_unstemmed | Chapter A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK |
| title_short | Chapter A Systematic Review of Digital Twin as a Predictive Maintenance Approach for Existing Buildings in the UK |
| title_sort | chapter a systematic review of digital twin as a predictive maintenance approach for existing buildings in the uk |
| topic | Digital Twin BIM Data Buildings Energy Management thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization |
| topic_facet | Digital Twin BIM Data Buildings Energy Management thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization |
| url | ONIX_20240402_9791221502893_94 |
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