Design optimization of ocean renewable energy converter using a combined Bi-level metaheuristic approach

Amini, E; Nasiri, M; Pargoo, NS; Mozhgani, Z; Golbaz, D; Baniesmaeil, M; Nezhad, MM; Neshat, M; Astiaso Garcia, D; Sylaios, G

Design optimization of ocean renewable energy converter using a combined Bi-level metaheuristic approach

Amini, E Nasiri, M Pargoo, NS Mozhgani, Z Golbaz, D Baniesmaeil, M Nezhad, MM Neshat, M

Astiaso Garcia, D Sylaios, G

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Energy Conversion and Management: X, 2023, 19, pp. 100371
Issue Date:: 2023-07-01

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Field	Value	Language
dc.contributor.author	Amini, E
dc.contributor.author	Nasiri, M
dc.contributor.author	Pargoo, NS
dc.contributor.author	Mozhgani, Z
dc.contributor.author	Golbaz, D
dc.contributor.author	Baniesmaeil, M
dc.contributor.author	Nezhad, MM
dc.contributor.author	Neshat, M https://orcid.org/0000-0002-9537-9513
dc.contributor.author	Astiaso Garcia, D
dc.contributor.author	Sylaios, G
dc.date.accessioned	2024-03-28T11:14:20Z
dc.date.available	2024-03-28T11:14:20Z
dc.date.issued	2023-07-01
dc.identifier.citation	Energy Conversion and Management: X, 2023, 19, pp. 100371
dc.identifier.issn	2590-1745
dc.identifier.issn	2590-1745
dc.identifier.uri	http://hdl.handle.net/10453/177353
dc.description.abstract	In recent years, there has been an increasing interest in renewable energies in view of the fact that fossil fuels are the leading cause of catastrophic environmental consequences. Ocean wave energy is a renewable energy source that is particularly prevalent in coastal areas. Since many countries have tremendous potential to extract this type of energy, a number of researchers have sought to determine certain effective factors on wave converters’ performance, with a primary emphasis on ambient factors. In this study, we used metaheuristic optimization methods to investigate the effects of geometric factors on the performance of an Oscillating Surge Wave Energy Converter (OSWEC), in addition to the effects of hydrodynamic parameters. To do so, we used CATIA software to model different geometries which were then inserted into a numerical model developed in Flow3D software. A Ribed-surface design of the converter's flap is also introduced in this study to maximize wave-converter interaction. Besides, a Bi-level Hill Climbing Multi-Verse Optimization (HCMVO) method was also developed for this application. The results showed that the converter performs better with greater wave heights, flap freeboard heights, and shorter wave periods. Additionally, the added ribs led to more wave-converter interaction and better performance, while the distance between the flap and flume bed negatively impacted the performance. Finally, tracking the changes in the five-dimensional objective function revealed the optimum value for each parameter in all scenarios. This is achieved by the newly developed optimization algorithm, which is much faster than other existing cutting-edge metaheuristic approaches.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Energy Conversion and Management: X
dc.relation.isbasedon	10.1016/j.ecmx.2023.100371
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Design optimization of ocean renewable energy converter using a combined Bi-level metaheuristic approach
dc.type	Journal Article
utslib.citation.volume	19
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-28T11:14:14Z
pubs.publication-status	Published
pubs.volume	19

Abstract:

In recent years, there has been an increasing interest in renewable energies in view of the fact that fossil fuels are the leading cause of catastrophic environmental consequences. Ocean wave energy is a renewable energy source that is particularly prevalent in coastal areas. Since many countries have tremendous potential to extract this type of energy, a number of researchers have sought to determine certain effective factors on wave converters’ performance, with a primary emphasis on ambient factors. In this study, we used metaheuristic optimization methods to investigate the effects of geometric factors on the performance of an Oscillating Surge Wave Energy Converter (OSWEC), in addition to the effects of hydrodynamic parameters. To do so, we used CATIA software to model different geometries which were then inserted into a numerical model developed in Flow3D software. A Ribed-surface design of the converter's flap is also introduced in this study to maximize wave-converter interaction. Besides, a Bi-level Hill Climbing Multi-Verse Optimization (HCMVO) method was also developed for this application. The results showed that the converter performs better with greater wave heights, flap freeboard heights, and shorter wave periods. Additionally, the added ribs led to more wave-converter interaction and better performance, while the distance between the flap and flume bed negatively impacted the performance. Finally, tracking the changes in the five-dimensional objective function revealed the optimum value for each parameter in all scenarios. This is achieved by the newly developed optimization algorithm, which is much faster than other existing cutting-edge metaheuristic approaches.

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http://hdl.handle.net/10453/177353