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Study on the power performance of wave energy converters mounted around an offshore wind turbine jacket platform

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  • Wei, Zhiwen
  • Shi, Hongda
  • Cao, Feifei
  • Yu, Mingqi
  • Li, Ming
  • Chen, Zhen
  • Liu, Peng

Abstract

With the deepening of renewable energy research, the economic-friendly multi-energy coupling development method is gradually favored. This paper proposes a jacket-mounted hybrid wind-wave energy converter, which includes a bottom-fixed offshore wind turbine (OWT) and a microarray composed of three point-absorbing wave energy converters (WECs). Numerical simulations were conducted to study the power performance of the wave energy converter array, and a model test with a scale of 1:8 was carried out to calibrate and validate the numerical model. The array converts wave energy through a hydraulic system, and a dynamic-link library was created to simulate the hydraulic power take-off (PTO) system that can take into account the real-time pressure changes of the accumulator. The time domain simulation results show that the maximum capture width ratio (CWR) of the WEC array exceeds 0.5 when the wave period is nearly to the natural period, and the optimal CWR of a single WEC exceeds 0.8. When the wave period is less than 2 times the natural period, the energy capture behavior of WEC is sensitive to the change in wave direction, and this sensitivity is weakened when the device forms an array. Specifically, a single WEC prefers waves to be incident from the back side, while the WEC array prefers waves to be incident obliquely. This work will provide design guidance for the engineering application of stationary hybrid wind-wave energy concepts.

Suggested Citation

  • Wei, Zhiwen & Shi, Hongda & Cao, Feifei & Yu, Mingqi & Li, Ming & Chen, Zhen & Liu, Peng, 2024. "Study on the power performance of wave energy converters mounted around an offshore wind turbine jacket platform," Renewable Energy, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:renene:v:221:y:2024:i:c:s0960148123017019
    DOI: 10.1016/j.renene.2023.119786
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