Efficient WEC Array Buoy Placement optimization with Multi-Resonance Control of the Electrical Power Take-off for Improved Performance

Veurink, Madelyn G.; Weaver, Wayne W.; Robinett, Rush D.; Wilson, David G.; Matthews, Ronald C.

doi:10.1109/oceans47191.2022.9977067

Cited by 2 publications

(1 citation statement)

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“…Geng et al [34] proposed a new hydraulic PTO power regulation module structure to improve the power output stability of the hydraulic PTO under irregular wave conditions. In the field of power plant array arrangement, Veurink et al [35] proposed a cost function to optimize the array arrangement of a WEC, with the aim of minimizing power variation and energy storage while maximizing the energy delivered to onshore points co-coupled with the grid. de Andrés et al [36] studied the coefficients influencing the layout of wave energy field arrays, such as the number of WECs and wave directionality.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Buoy Shape for Wave Energy Converter Based on Particle Swarm Algorithm

Ge,

Ji,

Jin

et al. 2024

Applied Sciences

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In order to improve the wave energy capture rate of the buoy of a wave energy generation device, this paper proposes a multi-degree of freedom method to optimize the shape of the buoy with maximum wave energy capture. Firstly, a multi-degree of freedom wave energy converter was designed, and the buoy shape was defined using a B-spline curve to generate the shape vector; then, a numerical model of the multi-degree of freedom wave energy converter was established and numerical calculations were carried out using AQWA/WEC-Sim software; on this basis, the particle swarm optimization algorithm was introduced to find the buoy shape corresponding to the maximum wave energy capture. Finally, the optimization of the buoy shape was in irregular waves. The results show that as the wave energy capture increased, the buoy shape tended to be flatter, with a smaller taper, and the optimal buoy shape had a better motion response than the conventional cone buoy. Eventually, the correctness of the buoy shape optimization method was verified through experimental testing.

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Section: Introductionmentioning

confidence: 99%