Xie, Yuan; Fang, Zigeng; Korolija, Ivan; Rovas, Dimitrios; (2023) Review of Digital Twins enabled applications for demand response. In: Proceedings of the 30th International Conference on Intelligent Computing in Engineering (EG-ICE 2023). (pp. pp. 1-9). UCL (University College London)

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Abstract

Digital Twins (DT), as one of the emerging trends in digitalisation, has attracted a large amount of research in the past few years. Recent research suggests that DT has the potential to provide more accurate models and better predictions for various energy-related applications. In the context of Demand Response (DR), the use of DT allows for real-time two-way communication between various physical and digital systems with the potential to improve energy efficiency in DR applications. This review focuses on exploring the concept of DT, namely its current applications in demand response. To investigate how the current research was conducted, comparisons were done on the methodology used, the framework and tools applied, and the benefits and drawbacks of applying DT for demand response. It was identified that most work in this area is still exploratory and presented high potential in further studies, and experimenting with case studies on DT with higher integration levels in the DR domain.

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