Toward Smart and Green Energy Stations: A Cognitive Digital Twin Framework for Intelligent Management

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Abstract
Modern intelligent energy stations show new requirements for smart, green, and highly-efficient systems. This article presents opportunities of bridging domains of large-scale facility management and information and communication technology. By introducing cognitive digital twin technology, potential opportunities for the intelligent operation and management of energy stations can be investigated. In this study, a conceptual intelligent energy station architecture is outlined based on cognitive digital twins. Subsequently, key modules and use cases for the cognitive digital twin-aided architecture are discussed, focusing on intelligent management and optimal operations. Furthermore, this study identifies several key challenges and future research directions for realizing the proposed architecture. These include model-related, data-related, and collaboration-related issues.
Funding Information
  • Key Research and Development Program of Wuhan (2023020402010590)
  • Natural Science Foundation of the Jiangsu Higher Education Institutions of China (23KJA510004)
  • China Postdoctoral Science Foundation (2021M702466)

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