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Design and Analysis of a Linear Memory Machine for Ocean Wave Power Generation

Author

Listed:
  • Yulong Liu

    (College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)

  • Xiaodong Zhang

    (Shenzhen in Drive Amperex Co. Ltd., Shenzhen 300750, China)

  • Shuangxia Niu

    (Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China)

  • Weinong Fu

    (Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China)

  • Xinhua Guo

    (College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)

Abstract

In this paper, a permanent magnet (PM) linear memory machine is proposed for ocean wave power generation. A notable feature of this machine is its online tunable mnemonic flux. This enables it to operate efficiently in a wide speed range and makes it suitable for the variable-speed wave-power generation. Moreover, this machine has both the PMs and the windings arranged in its stator so that it does not need slip rings or brushes. The proposed machine is also robust and cost-effective because it has a simple translator of slotted steel. In this paper, the configuration and working principle of the linear memory machine are firstly introduced. The results of a parametric analysis are presented to investigate the effects of the proposed machine’s geometric parameters. The performance of the proposed machine is then analyzed using time-stepping finite element method (TS-FEM).

Suggested Citation

  • Yulong Liu & Xiaodong Zhang & Shuangxia Niu & Weinong Fu & Xinhua Guo, 2020. "Design and Analysis of a Linear Memory Machine for Ocean Wave Power Generation," Energies, MDPI, vol. 13(19), pages 1-12, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5216-:d:424492
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    References listed on IDEAS

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    3. Tedd, James & Peter Kofoed, Jens, 2009. "Measurements of overtopping flow time series on the Wave Dragon, wave energy converter," Renewable Energy, Elsevier, vol. 34(3), pages 711-717.
    4. Qingsong Wang & Shuangxia Niu, 2015. "Electromagnetic Design and Analysis of a Novel Fault-Tolerant Flux-Modulated Memory Machine," Energies, MDPI, vol. 8(8), pages 1-17, August.
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