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Shashwat, S, Vishal, K and Zingre, K (2023) Investigating the Role of Digital Twin and 5G Technology in Enhancing Smart Energy Management. In: Tutesigensi, A and Neilson, C J (Eds.), Proceedings 39th Annual ARCOM Conference, 4-6 September 2023, University of Leeds, Leeds, UK. Association of Researchers in Construction Management, 790-799.
- Type: Conference Proceedings
- Keywords: 5G network, Digital twin, Smart building, Artificial Intelligent/Machine Learning, Sustainability,
- ISBN/ISSN: 978-0-9955463-7-0
- URL: http://www.arcom.ac.uk/-docs/proceedings/2036630e746d65e0e98dda5b1522f6d2.pdf
- Abstract:
Smart Energy Management (SEM) backed by IoT devices and AI/ML algorithms is crucial for achieving energy reduction goals and meeting global sustainability targets such as COP 26. A Digital Twin (DT) allows for rapid analysis and real-time decisions made through accurate analytics for SEM. Furthermore, for urban-scale DT; the next generation of network connectivity can support a high volume of data transfer in real-time. Therefore, this paper analyses trends; technological readiness; and challenges and proposes mitigation strategies for applying DT in the SEM domain. The research status quo is objectively portrayed using scientometric analysis (e.g., clusters using the VOSviewer tool); and the research trends and challenges were identified using a thematic review. The number of publications has grown exponentially in the past four years; with China followed by the UK producing the most publications. Three distinctive trends are observed that are "real-time data analysis"(26%); "optimisation"(34%) and "operation/maintenance"(14%). Furthermore, it highlights the role of the 5G network in transformation and pushing the DT adoption in SEM, which can aid in decision-making and strategic planning in the construction sector.