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Full Length Article | Open Access

A survey of Digital Twin techniques in smart manufacturing and management of energy applications

Yujie Wang(), Xu Kang, Zonghai Chen
Department of Automation, University of Science and Technology of China, Hefei, Anhui, 230027, China
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HIGHLIGHTS

● A systematically review of digital twin technique and its applications is presented.

● The definitions, classifications, main features, and case studies of digital twin is presented.

● The key technologies of digital twin are present.

● The future directions and challenges of digital twin in energy fields are foreseen.

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Abstract

With the continuous advancement and exploration of science and technology, the future trend of energy technology will be the deep integration of digitization, networking, intelligence with energy applications. The increasing maturity of digital technologies, such as the Internet of Things, big data, and cloud computing, has given rise to the creation and use of a potential technology – Digital Twin. Currently, research on Digital Twin has produced many concepts and outcomes that have been applied in many fields. In the energy sector, while some relevant ideas and case studies of Digital Twin have been generated, there are still many gaps to be explored. As a potential technology with advantages in many aspects, Digital Twin is bound to generate more promotion and applications in the energy fields. This paper systematically reviews the existing Digital Twin approaches and their possible applications in the energy fields. In addition, this paper attempts to analyze Digital Twin from different perspectives, such as definitions, classifications, main features, case studies and key technologies. Finally, the directions and challenges of possible future applications of Digital Twin in the energy fields have been presented.

Keywords

Digital TwinSmart energy applicationLow carbon citySmart gridElectrified transportationEnergy storage system

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Green Energy and Intelligent Transportation
Volume 1 Issue 2,
September 2022
DOI: 10.1016/j.geits.2022.100014
Cite this article:
Wang Y, Kang X, Chen Z. A survey of Digital Twin techniques in smart manufacturing and management of energy applications. Green Energy and Intelligent Transportation, 2022, 1(2). https://doi.org/10.1016/j.geits.2022.100014
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