Optimization of hydraulic power take-off system settings for point absorber wave energy converter

Amini, E; Mehdipour, H; Faraggiana, E; Golbaz, D; Mozaffari, S; Bracco, G; Neshat, M

Optimization of hydraulic power take-off system settings for point absorber wave energy converter

Amini, E Mehdipour, H Faraggiana, E Golbaz, D Mozaffari, S Bracco, G Neshat, M

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Renewable Energy, 2022, 194, pp. 938-954
Issue Date:: 2022-07-01

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Field	Value	Language
dc.contributor.author	Amini, E
dc.contributor.author	Mehdipour, H
dc.contributor.author	Faraggiana, E
dc.contributor.author	Golbaz, D
dc.contributor.author	Mozaffari, S
dc.contributor.author	Bracco, G
dc.contributor.author	Neshat, M https://orcid.org/0000-0002-9537-9513
dc.date.accessioned	2023-05-23T11:20:23Z
dc.date.available	2023-05-23T11:20:23Z
dc.date.issued	2022-07-01
dc.identifier.citation	Renewable Energy, 2022, 194, pp. 938-954
dc.identifier.issn	0960-1481
dc.identifier.issn	1879-0682
dc.identifier.uri	http://hdl.handle.net/10453/170418
dc.description.abstract	Ocean wave renewable energy is becoming a key part of the renewable energy industry over the recent decades. By developing wave energy converters (WECs), their power take-off (PTO) systems have been investigated to enhance the power extraction from the ocean. Adjusting PTO parameters is a challenging optimization problem because there is a complex and nonlinear relationship between these parameters and the absorbed power output. In this regard, this study aims to optimize the PTO system parameters of a point absorber wave energy converter in the wave data-set in Perth, on the Western Australian coasts. The converter is numerically designed to oscillate against irregular and multi-dimensional waves and sensitivity analysis for PTO settings. Then, to find the optimal PTO system parameters which lead to the highest power output, ten optimization approaches are incorporated to solve the nonlinear problem, including the Nelder-Mead search method, Active-set method, Sequential quadratic Programming method (SQP), Multi-Verse Optimizer (MVO), and six modified combination of Genetic, Surrogate and fminsearch techniques. After a feasibility landscape analysis, the optimization outcome is carried out and gives us the best answer in terms of PTO system settings. Finally, the investigation shows that the modified combinations of Genetic, Surrogate, and fminsearch approaches can outperform the others in the selected wave scenario, as well as with regard to the interaction between PTO system variables.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Renewable Energy
dc.relation.isbasedon	10.1016/j.renene.2022.05.164
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering, 0915 Interdisciplinary Engineering
dc.subject.classification	Energy
dc.title	Optimization of hydraulic power take-off system settings for point absorber wave energy converter
dc.type	Journal Article
utslib.citation.volume	194
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
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
utslib.copyright.status	closed_access	*
dc.date.updated	2023-05-23T11:20:19Z
pubs.publication-status	Published
pubs.volume	194

Abstract:

Ocean wave renewable energy is becoming a key part of the renewable energy industry over the recent decades. By developing wave energy converters (WECs), their power take-off (PTO) systems have been investigated to enhance the power extraction from the ocean. Adjusting PTO parameters is a challenging optimization problem because there is a complex and nonlinear relationship between these parameters and the absorbed power output. In this regard, this study aims to optimize the PTO system parameters of a point absorber wave energy converter in the wave data-set in Perth, on the Western Australian coasts. The converter is numerically designed to oscillate against irregular and multi-dimensional waves and sensitivity analysis for PTO settings. Then, to find the optimal PTO system parameters which lead to the highest power output, ten optimization approaches are incorporated to solve the nonlinear problem, including the Nelder-Mead search method, Active-set method, Sequential quadratic Programming method (SQP), Multi-Verse Optimizer (MVO), and six modified combination of Genetic, Surrogate and fminsearch techniques. After a feasibility landscape analysis, the optimization outcome is carried out and gives us the best answer in terms of PTO system settings. Finally, the investigation shows that the modified combinations of Genetic, Surrogate, and fminsearch approaches can outperform the others in the selected wave scenario, as well as with regard to the interaction between PTO system variables.

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http://hdl.handle.net/10453/170418