TY - JOUR
T1 - Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms
AU - Shadmani, Alireza
AU - Nikoo, Mohammad Reza
AU - Gandomi, Amir H.
AU - Chen, Mingjie
AU - Nazari, Rouzbeh
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/6/1
Y1 - 2024/6/1
N2 - One area with significant potential for cost reduction is the shape and geometry design of wave energy converters (WECs) to facilitate the development of these devices. Recent studies focused on optimizing WEC geometry with respect to single-objective optimization algorithms with simple geometry definitions. Therefore, this review discusses more complex geometry descriptions capable of generating multiple WEC designs while considering various factors to address these limitations. In addition, a range of metaheuristic and evolutionary optimization algorithms are examined to identify the most appropriate choices for single-objective WEC shape design. Through this comprehensive evaluation based on multiple recent studies, this review aims to provide insights into the most effective methods for optimizing WEC shape designs with regard to multi-objective optimization algorithms. This review strives to elaborate on the development of cost-efficient and highly effective wave energy systems by considering various optimization algorithms and shape definitions. Finally, several suggestions are presented to explain the future advancement direction in WEC shape and geometry optimization.
AB - One area with significant potential for cost reduction is the shape and geometry design of wave energy converters (WECs) to facilitate the development of these devices. Recent studies focused on optimizing WEC geometry with respect to single-objective optimization algorithms with simple geometry definitions. Therefore, this review discusses more complex geometry descriptions capable of generating multiple WEC designs while considering various factors to address these limitations. In addition, a range of metaheuristic and evolutionary optimization algorithms are examined to identify the most appropriate choices for single-objective WEC shape design. Through this comprehensive evaluation based on multiple recent studies, this review aims to provide insights into the most effective methods for optimizing WEC shape designs with regard to multi-objective optimization algorithms. This review strives to elaborate on the development of cost-efficient and highly effective wave energy systems by considering various optimization algorithms and shape definitions. Finally, several suggestions are presented to explain the future advancement direction in WEC shape and geometry optimization.
KW - Evolutionary algorithms
KW - Geometry optimization
KW - Multi-objective optimization
KW - Wave energy converters
KW - Wave power
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UR - https://www.mendeley.com/catalogue/e0dae9c1-f57a-3f39-af63-d7d0adb01060/
U2 - 10.1016/j.rser.2024.114398
DO - 10.1016/j.rser.2024.114398
M3 - Article
AN - SCOPUS:85189654441
SN - 1364-0321
VL - 197
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
M1 - 114398
ER -