Shape Optimization of Wave Energy Converters for Broadband Directional Incident Waves
Soheil Esmaeilzadeh, Mohammad-Reza Alam

TL;DR
This study systematically optimizes the shape of wave energy converters using high performance computing and genetic algorithms, revealing shapes that significantly improve energy absorption under various wave conditions.
Contribution
Introduces a Fourier-based parametric shape description and applies genetic algorithms to optimize wave energy converter shapes for broadband incident waves.
Findings
Optimized shapes can absorb several times more energy than circular shapes.
Elongated shapes are optimal for unidirectional waves.
Butterfly-shaped designs are optimal for directional waves.
Abstract
Here, through a systematic methodology and the use of high performance computing, we calculate the optimum shape for a wave energy converter under the action of incident waves of (i) monochromatic unidirectional, (ii) monochromatic directional, (iii) polychromatic unidirectional and (iv) polychromatic directional (with both directional symmetry and asymmetry). As a benchmark for our study, without loss of generality, we consider a submerged planar pressure differential wave energy converter, and use Genetic Algorithm to search through a wide range of shapes. A new parametric description of absorber shape based on Fourier decomposition of geometrical shapes is introduced, and for each shape hydrodynamic coefficients are calculated, optimum power take-o? parameters are obtained, and overall efficiency is determined. We show that an optimum geometry of the absorber plate can absorb a…
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