Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms

Shadmani, A; Nikoo, MR; Gandomi, AH; Chen, M; Nazari, R

Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms

Shadmani, A Nikoo, MR Gandomi, AH Chen, M Nazari, R

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Renewable and Sustainable Energy Reviews, 2024, 197
Issue Date:: 2024-06-01

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Field	Value	Language
dc.contributor.author	Shadmani, A
dc.contributor.author	Nikoo, MR
dc.contributor.author	Gandomi, AH
dc.contributor.author	Chen, M
dc.contributor.author	Nazari, R
dc.date.accessioned	2025-03-16T23:44:21Z
dc.date.available	2025-03-16T23:44:21Z
dc.date.issued	2024-06-01
dc.identifier.citation	Renewable and Sustainable Energy Reviews, 2024, 197
dc.identifier.issn	1364-0321
dc.identifier.issn	1879-0690
dc.identifier.uri	http://hdl.handle.net/10453/185840
dc.description.abstract	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.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	Renewable and Sustainable Energy Reviews
dc.relation.isbasedon	10.1016/j.rser.2024.114398
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	09 Engineering
dc.subject.classification	Energy
dc.subject.classification	40 Engineering
dc.title	Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms
dc.type	Journal Article
utslib.citation.volume	197
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Data Science Institute (DSI)
utslib.copyright.status	recently_added	*
dc.date.updated	2025-03-16T23:44:19Z
pubs.publication-status	Published
pubs.volume	197

Abstract:

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/185840