Energy Digital Twin applications: A review.

Digital Twin-based (DT) decisions are becoming increasingly popular in several areas, and the energy industry has been exploring the advantages of this approach. By creating synchronised virtual models that mirror the physical systems' behaviour, decision-makers can make more efficient and quicker decisions. In this case, this work aims to evaluate relevant papers in this area considering their objectives, application fields, adopted techniques and tools, as well as to discuss the advantages and challenges of this approach. Though a Systematic Literature Review (SLR), the main scientific databases were explored, and relevant articles were selected for analysis based on search criteria. Some crucial findings were highlighted, including the state of the art of the theme and important discussions considering energy generation, storage, transmission, and consumption subsystems. The main methods and tools adopted by the analysed literature were also evaluated and the objectives, advantages, and limitations stood out. The results of this SLR provide valuable insights for researchers and practitioners in the field and can be used to identify gaps in the current literature and provide directions for future research. It is important to mention that this work fills a gap in the literature considering the need for theoretical studies that provide a theoretical and conceptual basis for researchers and professionals in the field of Energy DTs. • This paper reviews the state-of-the-art of EDTs. • DTs in energy generation, distribution, storage, and consumption were discussed. • This paper presents insights about techniques, advantages, and challenges of EDTs. [ABSTRACT FROM AUTHOR]