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A Review of Flywheel Energy Storage System Technologies

Author

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  • Kai Xu

    (School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Youguang Guo

    (School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Gang Lei

    (School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Jianguo Zhu

    (School of Electrical and Information Engineering, University of Sydney, Camperdown, NSW 2006, Australia)

Abstract

The operation of the electricity network has grown more complex due to the increased adoption of renewable energy resources, such as wind and solar power. Using energy storage technology can improve the stability and quality of the power grid. One such technology is flywheel energy storage systems (FESSs). Compared with other energy storage systems, FESSs offer numerous advantages, including a long lifespan, exceptional efficiency, high power density, and minimal environmental impact. This article comprehensively reviews the key components of FESSs, including flywheel rotors, motor types, bearing support technologies, and power electronic converter technologies. It also presents the diverse applications of FESSs in different scenarios. The progress of state-of-the-art research is discussed, emphasizing the use of artificial intelligence methods such as machine learning, digital twins, and data-driven techniques for system simulation, fault prediction, and life-assessment research. The article also addresses the challenges related to current research and the application of FESSs. It concludes by summarizing future directions and trends in FESS research, offering valuable information for further advancement and improvement in this field.

Suggested Citation

  • Kai Xu & Youguang Guo & Gang Lei & Jianguo Zhu, 2023. "A Review of Flywheel Energy Storage System Technologies," Energies, MDPI, vol. 16(18), pages 1-32, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6462-:d:1234639
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    References listed on IDEAS

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    Cited by:

    1. Andrew J. Hutchinson & Daniel T. Gladwin, 2024. "Standalone and Hybridised Flywheels for Frequency Response Services: A Techno-Economic Feasibility Study," Energies, MDPI, vol. 17(11), pages 1-23, May.
    2. Xingjian Dai & Xiaoting Ma & Dongxu Hu & Jibing Duan & Haisheng Chen, 2024. "An Overview of the R&D of Flywheel Energy Storage Technologies in China," Energies, MDPI, vol. 17(22), pages 1-25, November.
    3. Paweł Pijarski & Adrian Belowski, 2024. "Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue," Energies, MDPI, vol. 17(2), pages 1-42, January.
    4. Hamid Soleimani & Daryoush Habibi & Mehrdad Ghahramani & Asma Aziz, 2024. "Strengthening Power Systems for Net Zero: A Review of the Role of Synchronous Condensers and Emerging Challenges," Energies, MDPI, vol. 17(13), pages 1-23, July.
    5. Dongxu Hu & Xingjian Dai & Bo Xie & Wen Li & Hongyan Yu & Haisheng Chen, 2024. "Fatigue Life of Flywheel Energy Storage Rotors Composed of 30Cr2Ni4MoV Steel," Energies, MDPI, vol. 17(15), pages 1-18, July.
    6. Obu Samson Showers & Sunetra Chowdhury, 2024. "Enhancing Energy Supply Reliability for University Lecture Halls Using Photovoltaic-Battery Microgrids: A South African Case Study," Energies, MDPI, vol. 17(13), pages 1-26, June.
    7. Maria Fotopoulou & Panagiotis Pediaditis & Niki Skopetou & Dimitrios Rakopoulos & Sotirios Christopoulos & Avraam Kartalidis, 2024. "A Review of the Energy Storage Systems of Non-Interconnected European Islands," Sustainability, MDPI, vol. 16(4), pages 1-24, February.

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