Computational Technology Resources - CCC

A. Shadmani^1,2, M.R. Nikoo³ and A.H. Gandomi^4,5

¹Department of Maritime Engineering, Amirkabir University of Technology, Iran
²Department of Electromechanical, Systems, and Metal Engineering, Ghent University, Belgium
³College of Engineering, Department of Civil and Architectural Engineering, Sultan Qaboos University, Oman
⁴Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia
⁵University Research and Innovation Center (EKIK), Óbuda University, Budapest, Hungary

doi:10.4203/ccc.5.1.1

A. Shadmani, M.R. Nikoo, A.H. Gandomi, "Multi-Objective Shape Optimization of Multi-Axis Wave Energy Converter", in P. Iványi, J. Logo, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on Soft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 5, Paper 1.1, 2023, doi:10.4203/ccc.5.1.1

Keywords: wave energy, wave energy converter, shape design, multi-objective optimization, particle swarm optimization.

Abstract

Wave power is amongst the most promising forms of renewable energy, with a potential of 337 GW globally, compared to other renewable sources such as wind and solar; however, wave energy technologies are not completely. This necessitates the optimal design of wave energy converters (WECs) to commercialize these technologies. To this end, several optimization techniques have recently been developed, which the effectiveness of the state-of-the-art evolutionary algorithms has not been compared or contrasted for WECs. A new and innovative WEC type with respect to two body point absorbers with multi-axis motion, i.e., surge, heave, and pitch, has been considered with respect to different geometry. This paper presents a framework for the shape design of WECs utilizing multi-objective particle swarm optimization (MOPSO) in response to two main objective functions, i.e., maximization of power output and minimization of construction cost. Finally, the results demonstrated that the optimal shape design of multi-axis WEC in terms of maximum power output and minimum construction cost is octagonal shape, compared to cylindrical and triangular shapes.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 5 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING, MACHINE LEARNING AND OPTIMISATION IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: P. Iványi, J. Logo and B.H.V. Topping Paper 1.1 Multi-Objective Shape Optimization of Multi-Axis Wave Energy Converter A. Shadmani^1,2, M.R. Nikoo³ and A.H. Gandomi^4,5 ¹Department of Maritime Engineering, Amirkabir University of Technology, Iran ²Department of Electromechanical, Systems, and Metal Engineering, Ghent University, Belgium ³College of Engineering, Department of Civil and Architectural Engineering, Sultan Qaboos University, Oman ⁴Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia ⁵University Research and Innovation Center (EKIK), Óbuda University, Budapest, Hungary doi:10.4203/ccc.5.1.1 Full Bibliographic Reference for this paper A. Shadmani, M.R. Nikoo, A.H. Gandomi, "Multi-Objective Shape Optimization of Multi-Axis Wave Energy Converter", in P. Iványi, J. Logo, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on Soft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 5, Paper 1.1, 2023, doi:10.4203/ccc.5.1.1 Keywords: wave energy, wave energy converter, shape design, multi-objective optimization, particle swarm optimization. Abstract Wave power is amongst the most promising forms of renewable energy, with a potential of 337 GW globally, compared to other renewable sources such as wind and solar; however, wave energy technologies are not completely. This necessitates the optimal design of wave energy converters (WECs) to commercialize these technologies. To this end, several optimization techniques have recently been developed, which the effectiveness of the state-of-the-art evolutionary algorithms has not been compared or contrasted for WECs. A new and innovative WEC type with respect to two body point absorbers with multi-axis motion, i.e., surge, heave, and pitch, has been considered with respect to different geometry. This paper presents a framework for the shape design of WECs utilizing multi-objective particle swarm optimization (MOPSO) in response to two main objective functions, i.e., maximization of power output and minimization of construction cost. Finally, the results demonstrated that the optimal shape design of multi-axis WEC in terms of maximum power output and minimum construction cost is octagonal shape, compared to cylindrical and triangular shapes. download the full-text of this paper (PDF, 10 pages, 587 Kb) go to the next paper return to the table of contents return to the volume description
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