Layout and design optimization of ocean wave energy converters: A scoping review of state-of-the-art canonical, hybrid, cooperative, and combinatorial optimization methods
Date
2022-11-23
Journal Title
Journal ISSN
Volume Title
Publisher
Energy Reports
Abstract
Ocean Wave energy is becoming a prominent technology, which is considered a vital renewable energy resource to achieve the Net-zero Emissions Plan by 2050. It is also projected to be commercialized widely and become a part of the industry that alters conventional energy technologies in the near future. However, wave energy technologies are not entirely yet developed and mature enough, so various criteria must be optimized to enter the energy market. In order to maximize the performance of wave energy converters (WECs) components, three challenges are mostly considered: Geometry, Power Take-off (PTO) parameters, and WECs’ layout. As each of such challenges plays a meaningful role in harnessing the maximum power output, this paper systematically reviews applied state-of-the-art optimization techniques, including standard, hybrid, cooperative, bi-level and combinatorial strategies. Due to the importance of fidelity and computational cost in numerical methods, we also discuss approaches to analyzing WECs interactions’ developments. Moreover, the benefits and drawbacks of the popular optimization methods applied to improve WEC parameters’ performance are summarized, briefly discussing their key characteristics. According to the scoping review, using a combination of bio-inspired algorithms and local search as a hybrid algorithm can outperform the other techniques in layout optimization in terms of convergence rate. A review of the geometry of WECs has emphasized the indispensability of optimizing and balancing design parameters with cost issues in multimodal and large-scale problems.
Description
This article was originally published in Energy Reports. The version of record is available at: https://doi.org/10.1016/j.egyr.2022.10.403
Keywords
Wave Energy Converters, layout optimization, PTO systems, geometry design, optimization algorithms, evolutionary algorithms, swarm intelligence, local search methods
Citation
Golbaz, Danial, Rojin Asadi, Erfan Amini, Hossein Mehdipour, Mahdieh Nasiri, Bahareh Etaati, Seyed Taghi Omid Naeeni, Mehdi Neshat, Seyedali Mirjalili, and Amir H. Gandomi. “Layout and Design Optimization of Ocean Wave Energy Converters: A Scoping Review of State-of-the-Art Canonical, Hybrid, Cooperative, and Combinatorial Optimization Methods.” Energy Reports 8 (November 23, 2022): 15446–79. https://doi.org/10.1016/j.egyr.2022.10.403.