Volume 45 Issue 12
Dec.  2024
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Article Contents
WANG Deli, YANG Wen, WEI Wei, PEI Haiqing, XU Wei. Parameter Optimization Design and Power Response Analysis of Oscillating Buoy Wave Energy Converters With Random Loads[J]. Applied Mathematics and Mechanics, 2024, 45(12): 1515-1529. doi: 10.21656/1000-0887.450201
Citation: WANG Deli, YANG Wen, WEI Wei, PEI Haiqing, XU Wei. Parameter Optimization Design and Power Response Analysis of Oscillating Buoy Wave Energy Converters With Random Loads[J]. Applied Mathematics and Mechanics, 2024, 45(12): 1515-1529. doi: 10.21656/1000-0887.450201

Parameter Optimization Design and Power Response Analysis of Oscillating Buoy Wave Energy Converters With Random Loads

doi: 10.21656/1000-0887.450201
Funds:

The National Science Foundation of China(12372033;12002250)

  • Received Date: 2024-07-10
  • Rev Recd Date: 2024-10-10
  • Available Online: 2024-12-27
  • The oscillating buoy wave energy converter is a kind of core working unit of wave energy power generation system, and its development is of significances for breaking the power supply bottlenecks in coastal area development and offshore platform construction of in China. Then the coupled motion model for multi-DOF wave energy conversion structures was built to investigate its mechanical configuration, parameter design and energy capture mechanism. Through optimization of the intelligent algorithms such as the particle swarm algorithm, the problems of the too large multi-DOF iteration scale and the local optimal solution dilemma were overcome, the functions of the algorithm were enriched, and the oscillation and energy capture effects of the wave energy converter based on 2D/4D, linear/nonlinear damping and structure dimension parameters in 2 scenarios, were qualitatively and quantitatively evaluated. The capture energy advantages of vibration control conditions of multi-DOF and nonlinear damping, were verified, and the dynamic behavior law, the parameter optimization design and the efficient path of energy capture mechanism were explored simultaneously. Random loads were introduced to optimize the accuracy of the model, and the effects of noise differences on the energy capture were refined. The work provides a new idea for the effective application mode of wave energy conversion structure in practical engineering.
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