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Submit a Manuscript to the Journal
International Journal of Green Energy

For a Special Issue on
Digital Twin for Integrated Energy Systems

Manuscript deadline
31 August 2022

Cover image - International Journal of Green Energy

Special Issue Editor(s)

Prof. Akhil Garg, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China
[email protected]

Prof. Liang Gao, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China
[email protected]

Dr. Wei Li, College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China
[email protected]

Prof. Nader Karimi, School of Engineering and Materials Science, Queen Mary University of London, UK
[email protected]

Prof. Ziyou Song, Department of Mechanical Engineering, National University of Singapore (NUS), Singapore
[email protected]

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Digital Twin for Integrated Energy Systems

Integrated Energy systems such as solar-energy storage, wind-energy storage, electric vehicle (EV)-grid, EV-smart home, etc. are the major contributors to green energy for our daily living life. Processes involved in four phases such as design, operation, service, and recycling of these energy systems have a greater impact on their long-term performance and socio-economic indexes. During the design, operation & service phase, real time data collection, visualization, predictive modelling, and analysis are needed for efficient prognostics and health diagnostics, maintenance, and replacement. During the recycling phase, intelligent and efficient sorting is needed for making expert decisions on when and whether to reuse, recondition, recycle, or scrap. There could be digital and physical tracking of components in these systems using barcodes that can facilitate a more accurate sorting.

Processes involved are highly complex, interactive, and multidimensional, therefore, the challenges arising in each of the four phases can be addressed by the application, development, and deployment of digital twins technologies. Digital twins are as an integral part of Industry 4.0, enabling digitization across various systems. This technology is an integration of emerging technologies such as artificial intelligence, the internet of things, big data, cloud computing, blockchain, virtual reality technologies, collaborative platforms, open standards, etc. Among them, the digital twin technology based on blockchain can realize the simplification, dimensionality reduction and real-time interaction of energy systems efficiently. Blockchains are shared and distributed data structures or ledgers that can securely store digital transactions without using a central point of authority. The advent of blockchain technology can refine the concept of digital twins by ensuring transparency, decentralized data storage, data immutability, and peer-to-peer communication in industrial sectors. This technology corresponds to the three critical principles of the future energy system: decarbonization, decentralization, and digitization. Supporting the connection of digital twins through secure blockchain technology can reduce sustainable energy system operating costs, increase efficiency, fast and automate processes, transparency, and the possibility of reducing capital requirements. Blockchain technologies allow digital twins to be continuously fed by real-world data so that they can effectively and efficiently offer real-time insights about the present and future performance and problems of energy systems. Through blockchain technologies, complex energy systems can be disassembled and reconstructed to build their independent digital twins, and then the interaction of independent digital twins can be realized by the connection between blocks.

Take battery energy systems as an example, by building the digital twins system through blockchain, all phases of battery design, operation & service and recycling are related, and a full life cycle management of batteries can be realized. Digital twins can combine with the smart grid to analyze real-time storage capacity and the surplus of the grid to achieve efficient use of batteries as energy storage. In addition, there has been an enormous release of carbon footprint from building fields (residential complexes/commercial complexes/factories) that are consuming higher energy consumption which also eventually pollutes the environment (soil, air and water). In this perspective, digital twins can be developed and applied for reducing energy consumption in buildings by the development of energy-efficient designs, using hybrid energy systems, visualization of potential energy savings, which can be completed through the blockchain, so as to realize the efficient and energy-saving optimization of the whole system. Similarly, for sustainable energy systems such as electric vehicles used for transportation purposes, digital twins technologies can be useful for the entire life cycle management of the key components (battery, motor, converter, etc.) from design to end-of-life use, and blockchain technologies can efficiently be useful for management and data transmission from components to the whole energy system.

If developed and implemented correctly, digital twins can also promote a 'circular economy' system in a building or even a city that considers almost zero production of waste and pollution, keeps products and materials longer within the recycling loop, and helps to regenerate natural systems. For the electricity grid, there is a rapid transition from old systems of analog, fossil fuels, centralized generation, and transmission to a high proportion of renewable energy sources (especially solar and wind power) to intelligently manage future grids through secure blockchain-connected digital twins technologies.

Therefore, this special issue dedicates to real-time monitoring and efficient integrated energy systems by development of Digital Twin Technologies for sustainable design, efficient operation and service, and sustainable recycling.

Topics of interest include, but are not limited to, the following:

  • Database development and its integration for modelling and design of Green Energy Systems
  • Application of technologies such as BlockChain, 5G communication, edge computing, cloud computing, and artificial intelligence in renewable energy and hybrid energy systems.
  • Big data analytics, modelling, and simulation for digital twins (physics-based, ML/AI, etc.)
  • Digital twins for electric vehicles and its components
  • Digital twins-enabled prognostics and health monitoring
  • Digital twins for maintenance and replacement of energy systems
  • AR and VR for visualization of energy systems
  • Digital twins-based planning, operation, maintenance, and control of sustainable energy systems
  • Security and privacy protection in sustainable energy systems digital twins

Submission Instructions

Select “SI title” and “Submission last date”

As

Select “Digital Twin for Integrated Energy Systems” and “31th August, 2022”

Instructions for AuthorsSubmit an Article

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