Leveraging digital twin technologies for sustainable development: an exploration of opportunities and challenges

Davis, Zack (2023) Leveraging digital twin technologies for sustainable development: an exploration of opportunities and challenges. [USQ Project]

Text (Project – redacted) _Davis_Z_Goh_ENG4112 Dissertation Report_Redacted.pdf Download (4MB)

Abstract

METHODOLOGY & AIM: The research will begin by exploring the existing research, scholarly articles, books, and relevant sources to gain a comprehensive understanding of the current knowledge in the field. This review will help identify gaps or areas that have not been adequately addressed.

Four research questions have been developed that specifically address the knowledge gaps identified in the literature review. The research question aligns with the overall objective of the study.

A combination of quantitative and qualitative approaches for collecting data will be use. For example, quantitative data will be collected through peer research, surveys, questionnaires, or existing datasets. Qualitative data will be gathered through interviews, observations, and case studies. Appropriate sampling methods will be used to ensure data representativeness and reliability.

By following this methodology, the research aims to address the research questions by leveraging management theories and approaches related to construction, validating the theoretical basis through data analysis, and assessing the opportunities and challenges of Digital Twin technology.

OUTCOMES: The key outcomes of this paper can be summarized as follows:
Digital Twin Technology for Sustainable Development: The paper explores the use of Digital Twin technology to enhance sustainability practices, reduce project delays and costs, and lower life cycle costs in construction projects, ultimately contributing to a sustainable future.

The research highlights that the potential of Digital Twin technology is limitless, depending on the user's understanding and expertise. Furthermore, The paper emphasizes the role of sensors and IoT technology in supporting Digital Twin applications, particularly during the operational phases of a construction project.

The study identifies numerous barriers to the implementation of Digital Twins, including high initial costs, lack of awareness, resistance to change, interoperability issues, and more. In addition to this, the significance of the findings is multifaceted, with an emphasis on their contribution to knowledge, applicability, worth, and real-world impact in the construction industry.

The research also identifies opportunities and challenges associated with Digital Twin technology, particularly in terms of collaboration, communication, and data security. Practical approaches include utilizing Digital Twins in complex structural design analysis, addressing the lack of accurate as-built information, and integrating with Building Information Modeling (BIM) for more efficient construction processes.

Real-world case studies, such as the NTU EcoCampus and Project SCENe, demonstrate the significant impact of Digital Twin technology on reducing the carbon footprint in the built environment. The paper also acknowledges a knowledge gap related to the potential applications of artificial intelligence (AI) in the AEC industry and suggests further exploration in this area.

Recommendations include comprehensive training and resources, development of standards and guidelines, data security measures, addressing interoperability, and promoting a collaborative mindset in the industry.

The author's personal reflection highlights the value of digital modelling and optimization technologies in the construction industry and their role in promoting sustainability and efficiency.

The paper concludes by emphasizing the growing importance of digital modelling and optimization technologies, such as Digital Twins and BIM, in achieving sustainability and efficiency in building design, construction, and operation. These outcomes collectively underscore the potential of Digital Twin technology to revolutionize the construction industry, enhance sustainability practices, and improve the overall efficiency of building projects.

Statistics for this ePrint Item

Item Type:	USQ Project
Item Status:	Live Archive
Faculty/School / Institute/Centre:	Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Supervisors:	Goh, Steven
Qualification:	Bachelor of Construction (Honors)
Date Deposited:	24 Sep 2025 03:53
Last Modified:	24 Sep 2025 03:54
Uncontrolled Keywords:	Digital Twin; Sustainability; Opportunities; Challenges
URI:	https://sear.unisq.edu.au/id/eprint/52939

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