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 of 39th Annual ARCOM Conference, 4-6 September 2023, University of Leeds, Leeds, UK.
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.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | 5g network; digital twin; smart building; artificial intelligent/machine learning; sustainability |
| Index terms: | publication, smart energy, China, machine learning, construction sector, digital twin, mitigation, smart building, decision-making, strategic planning, transformation, energy reduction, strategy, connectivity, real-time data |
| Subjects: | business, digital engineering, construction type, research dissemination and communication, energy systems, artificial intelligence, management, financial risk, Geography, decision analysis, data management, networking, industry analysis |
| Topics: | Digital Applications, Information Management, Geographical Context, Research Practice, Business Strategy, Cost Management, Sustainability, Construction Technology, Risk Management |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here