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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Wave and Tidal Energy
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1439062
This article is part of the Research Topic Recent Advances in Offshore Renewable Energy View all 6 articles

Power absorption and flow-field characteristics analysis for oscillating coaxial twin-buoy wave energy converter by using CFD

Provisionally accepted
Xiaoguo Zhou Xiaoguo Zhou *Zekai Cheng Zekai Cheng Haibo Xia Haibo Xia Zixiang Zhao Zixiang Zhao Shuxu Liu Shuxu Liu
  • Jiangsu University of Science and Technology, Zhenjiang, China

The final, formatted version of the article will be published soon.

    This paper presents a simulation study on a twin-buoy wave energy converter (WEC) using a threedimensional numerical wave pool based on the Computational Fluid Dynamics (CFD) method. The objective is to investigate the hydrodynamic performance and energy conversion characteristics of the device. Several factors are examined, including the elasticity coefficient of the anchor chain, the bottom configuration of the floating body, and the power take-off (PTO) damping coefficient. The heave displacement, heave velocity, and heave force of the converter are calculated under specific wave parameters, and the flow field cloud diagram during the heave motion is analyzed. The results indicate that a wave energy converter with a hemispherical floating body exhibits the best kinematic performance. The influence of the mechanical damping coefficient on the energy conversion performance of the device is studied. By appropriately reducing the mechanical damping coefficient, the energy capturing capability of the device can be increased to a certain extent. These findings can serve as a theoretical basis for the application of deep-water wave energy conversion in engineering and the optimization of future WEC designs.

    Keywords: wave energy, coaxial twin-buoy, computational fluid mechanics, bottom configuration, Power take-off

    Received: 27 May 2024; Accepted: 02 Sep 2024.

    Copyright: © 2024 Zhou, Cheng, Xia, Zhao and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xiaoguo Zhou, Jiangsu University of Science and Technology, Zhenjiang, China

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