Major opportunities of digital twins for smart buildings: a scientometric and content analysis

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Smart and Sustainable Built Environment Pub Date : 2023-01-18 DOI:10.1108/sasbe-09-2022-0192
F. A. Ghansah, Weisheng Lu
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引用次数: 2

Abstract

PurposeDigital twins provide enormous opportunities for smart buildings. However, an up-to-date intellectual landscape to understand and identify the major opportunities of digital twins for smart buildings is still not enough. This study, therefore, performs an up-to-date comprehensive literature review to identify the major opportunities of digital twins for smart buildings.Design/methodology/approachScientometric and content analysis are utilised to comprehensively evaluate the intellectual landscape of the general knowledge of digital twins for smart buildings.FindingsThe study uncovered 24 opportunities that were further categorised into four major opportunities: efficient building performance (smart “building” environment), efficient building process (smart construction site environment), information efficiency and effective user interactions. The study further identified the limitations of the existing studies and made recommendations for future research in the methodology adopted and the research domain. Five research domains were considered for future research, namely “real-time data acquisition, processing and storage”, “security and privacy issues”, “standardised and domain modelling”, “collaboration between the building industry and the digital twin developers” and “skilled workforce to enable a seamless transition from theory to practice”.Practical implicationsAll stakeholders, including practitioners, policymakers and researchers in the field of “architecture, engineering, construction and operations” (AECO), may benefit from the findings of this study by gaining an in-depth understanding of the opportunities of digital twins and their implementation in smart buildings in the AECO industry. The limitations and the possible research directions may serve as guidelines for streamlining the practical adoption and implementation of digital twins for smart buildings.Originality/valueThis study adopted scientometric and content analysis to comprehensively assess the intellectual landscape of relevant literature and identify four major opportunities of digital twins for smart building, to which scholars have given limited attention. Finally, a research direction framework is presented to address the identified limitations of existing studies and help envision the ideal state of digital twins for smart buildings.
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数字孪生对智能建筑的重大机遇:科学计量和内容分析
目的数字双胞胎为智能建筑提供了巨大的机遇。然而,仅仅有一个最新的知识景观来理解和识别数字孪生对智能建筑的主要机遇仍然不够。因此,这项研究进行了最新的综合文献综述,以确定数字孪生对智能建筑的主要机会。设计/方法论/方法利用科学和内容分析来全面评估智能建筑中数字孪生常识的知识景观。发现该研究发现了24个机会,这些机会被进一步分为四大机会:高效的建筑性能(智能“建筑”环境)、高效的建筑流程(智能工地环境)、信息效率和有效的用户互动。该研究进一步确定了现有研究的局限性,并对所采用的方法和研究领域的未来研究提出了建议。未来研究考虑了五个研究领域,即“实时数据采集、处理和存储”、“安全和隐私问题”、“标准化和领域建模”,“建筑行业与数字孪生开发商之间的合作”和“熟练的劳动力,实现从理论到实践的无缝过渡”。实际含义所有利益相关者,包括“建筑、工程、施工和运营”(AECO)领域的从业者、决策者和研究人员,通过深入了解数字孪生的机会及其在AECO行业智能建筑中的实施,可能会从这项研究的发现中受益。这些限制和可能的研究方向可以作为简化智能建筑数字孪生的实际采用和实施的指导方针。原创性/价值本研究采用科学计量学和内容分析的方法,全面评估了相关文献的知识景观,并确定了数字孪生对智能建筑的四大机遇,而学者们对此关注有限。最后,提出了一个研究方向框架,以解决现有研究的局限性,并帮助设想智能建筑中数字双胞胎的理想状态。
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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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