Investigating the role of digital twin and 5G technology in enhancing smart energy management

S Shashwat*, Kumar Vishal, Kishor Zingre

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the 39th Annual ARCOM Conference
EditorsA. Tutesigensi, C. J. Neilson
Number of pages10
Publication statusAccepted/In press - 3 Sep 2023
EventThe 39th Annual ARCOM Conference 2023 : Constructing for the Future - University of Leeds, Leeds, United Kingdom
Duration: 4 Sep 20236 Sep 2023


ConferenceThe 39th Annual ARCOM Conference 2023
Abbreviated titleARCOM
Country/TerritoryUnited Kingdom
Internet address

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