Multi-objective evolutionary framework for layout and operational optimization of a multi-body wave energy converter

Hoseini Karani, MM; Nikoo, MR; Dolatshahi Pirooz, H; Shadmani, A; Al-Saadi, S; Gandomi, AH

Multi-objective evolutionary framework for layout and operational optimization of a multi-body wave energy converter

Hoseini Karani, MM Nikoo, MR Dolatshahi Pirooz, H Shadmani, A Al-Saadi, S Gandomi, AH

Permalink

Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Energy, 2024, 313
Issue Date:: 2024-12-30

Recently Added

	Filename	Description	Size
	1-s2.0-S0360544224038234-main.pdf	Published version	13.56 MB		View/Open

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is new to OPUS and is not currently available.

Full metadata record

Field	Value	Language
dc.contributor.author	Hoseini Karani, MM
dc.contributor.author	Nikoo, MR
dc.contributor.author	Dolatshahi Pirooz, H
dc.contributor.author	Shadmani, A
dc.contributor.author	Al-Saadi, S
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2025-03-20T00:16:45Z
dc.date.available	2025-03-20T00:16:45Z
dc.date.issued	2024-12-30
dc.identifier.citation	Energy, 2024, 313
dc.identifier.issn	0360-5442
dc.identifier.issn	1873-6785
dc.identifier.uri	http://hdl.handle.net/10453/186010
dc.description.abstract	As global energy demand continues to rise, the focus has increasingly shifted toward renewable energy sources. In this context, multi-body Wave Energy Converters (WECs) stand out due to their superior power capture efficiency and enhanced survivability, facilitated by their operational flexibility. Nevertheless, the complexity associated with deploying multi-body WECs in arrays has constrained extensive research in this domain. This study introduces an optimization strategy for the layout design and control of multi-body WECs aimed at efficiently harnessing wave energy. Utilizing Evolutionary Multi-Objective Optimization (EMO) algorithms, this framework optimizes the arrangement and operational parameters of WEC arrays, specifically tailored for the marine conditions off the coast of Oman. The research encompasses two primary optimization phases: layout optimization, which seeks an optimal balance between power production and the separation distance between WEC devices, and operational control optimization, which adjusts WEC configurations according to varying wave conditions. This approach aims to maximize energy capture and ensure sustainable array performance while addressing technical challenges. Simulation results indicate that the optimized configurations not only enhance energy extraction but also significantly reduce hydrodynamic loads, promising improved longevity and efficiency for multi-body WEC systems in extreme marine environments.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	Energy
dc.relation.isbasedon	10.1016/j.energy.2024.134045
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0913 Mechanical Engineering, 0914 Resources Engineering and Extractive Metallurgy, 0915 Interdisciplinary Engineering
dc.subject.classification	Energy
dc.subject.classification	4008 Electrical engineering
dc.subject.classification	4012 Fluid mechanics and thermal engineering
dc.subject.classification	4017 Mechanical engineering
dc.title	Multi-objective evolutionary framework for layout and operational optimization of a multi-body wave energy converter
dc.type	Journal Article
utslib.citation.volume	313
utslib.for	0913 Mechanical Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
utslib.for	0915 Interdisciplinary 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	2025-03-20T00:16:42Z
pubs.publication-status	Published
pubs.volume	313

Abstract:

As global energy demand continues to rise, the focus has increasingly shifted toward renewable energy sources. In this context, multi-body Wave Energy Converters (WECs) stand out due to their superior power capture efficiency and enhanced survivability, facilitated by their operational flexibility. Nevertheless, the complexity associated with deploying multi-body WECs in arrays has constrained extensive research in this domain. This study introduces an optimization strategy for the layout design and control of multi-body WECs aimed at efficiently harnessing wave energy. Utilizing Evolutionary Multi-Objective Optimization (EMO) algorithms, this framework optimizes the arrangement and operational parameters of WEC arrays, specifically tailored for the marine conditions off the coast of Oman. The research encompasses two primary optimization phases: layout optimization, which seeks an optimal balance between power production and the separation distance between WEC devices, and operational control optimization, which adjusts WEC configurations according to varying wave conditions. This approach aims to maximize energy capture and ensure sustainable array performance while addressing technical challenges. Simulation results indicate that the optimized configurations not only enhance energy extraction but also significantly reduce hydrodynamic loads, promising improved longevity and efficiency for multi-body WEC systems in extreme marine environments.

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

http://hdl.handle.net/10453/186010