Ocean Wave Energy Converters Optimization: A Comprehensive Review on Research Directions

TL;DR

This comprehensive review analyzes optimization techniques for wave energy converters, focusing on improving performance through PTO settings, geometry, and layout, highlighting the effectiveness of bio-inspired algorithms and the importance of cost-effective design.

Contribution

The paper categorizes and discusses various optimization methods for WECs, emphasizing the role of bio-inspired algorithms and the need for cost-effective multi-modal optimization strategies.

Findings

Bio-inspired algorithms with local search outperform others in layout optimization.

Optimizing PTO coefficients is crucial despite high costs for large-scale problems.

Balancing design parameters with cost is essential for practical WEC deployment.

Abstract

Ocean wave energy is one of the latest renewable energy resources, projected to be commercialized and competitive with other energy technologies in the near future. However, wave energy technologies are not fully developed, so various criteria must be optimized to enter the energy market. To optimize the performance of wave energy converters (WECs) components, three challenges are mostly considered: i)Power take-off systems settings (PTO), ii)Geometry parameters of WECs, iii)WECs' layout. As each of them plays a significant role in harnessing the maximum power output, this paper reviews applied optimization techniques in WECs. Furthermore, due to the importance of fidelity and computational cost in numerical methods, we discuss methods to analyze a WEC together with the basics and developments of WECs interactions. Moreover, the most popular optimization methods applied to optimize WEC parameters are categorized, and their key characteristics are briefly discussed. As a result, in terms of convergence rate, a combination of bio-inspired algorithms and local search can outperform the competition in layout optimization. A review of PTO coefficients and the geometry of WECs have emphasized the indispensability of optimizing PTO coefficients and balancing design parameters with cost issues even though it is costly on multi-modal and large-scale problems.