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Predication of Ocean Wave Height for Ocean Wave Energy Conversion System

Author

Listed:
  • Yingjie Cui

    (School of Intelligence Manufacturing, Huanghuai University, Zhumadian 463000, China)

  • Fei Zhang

    (School of Intelligence Manufacturing, Huanghuai University, Zhumadian 463000, China)

  • Zhongxian Chen

    (School of Intelligence Manufacturing, Huanghuai University, Zhumadian 463000, China
    Henan Key Laboratory of Smart Lighting, Huanghuai University, Zhumadian 463000, China)

Abstract

Ocean wave height is one of the critical factors to decide the efficiency of the ocean wave energy conversion system. Usually, only when the resonate occurs between the ocean wave height (ocean wave speed in the vertical direction) and ocean wave energy conversion system, can the conversion efficiency from ocean wave energy into electric energy be maximized. Therefore, this paper proposes two predication methods to predict the future ocean wave height in 1.5–2.5 s. Firstly, the data fitting of real ocean wave height is achieved by the polynomial method, which is beneficial to the predication of ocean wave height. Secondly, the models of the moving average (MA) predication method and auto regressive (AR) predication method are presented by the time series analysis process. Lastly, after the predication of ocean wave height by the MA method and AR method, and compared with the data fitting result of real ocean wave height, it can be found that the AR method is more accurate for the predication of ocean wave height. In addition, the predication results also indicated that the error between the predication value and true value in the future 2.5 s is considered acceptable, which provides enough time to optimize the operation process of the ocean wave energy conversion system by a suitable control method.

Suggested Citation

  • Yingjie Cui & Fei Zhang & Zhongxian Chen, 2023. "Predication of Ocean Wave Height for Ocean Wave Energy Conversion System," Energies, MDPI, vol. 16(9), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3841-:d:1136839
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    References listed on IDEAS

    as
    1. Jeremiah Pastor & Yucheng Liu, 2016. "Wave Climate Resource Analysis Based on a Revised Gamma Spectrum for Wave Energy Conversion Technology," Sustainability, MDPI, vol. 8(12), pages 1-14, December.
    2. Shaobo Yang & Shanhua Duan & Linlin Fan & Chongwei Zheng & Xingfei Li & Hongyu Li & Jianjun Xu & Qiang Wang & Ming Feng, 2019. "10-Year Wind and Wave Energy Assessment in the North Indian Ocean," Energies, MDPI, vol. 12(20), pages 1-16, October.
    3. Muhammed Zafar Ali Khan & Haider Ali Khan & Muhammad Aziz, 2022. "Harvesting Energy from Ocean: Technologies and Perspectives," Energies, MDPI, vol. 15(9), pages 1-43, May.
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