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Multi-Objective Optimization of a Pitch Point Absorber Wave Energy Converter

1
Sea-Based Energy Research Group, Babol Noshirvani University of Technology, Babol 47148, Iran
2
Division of Computational Physics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam
3
Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
*
Author to whom correspondence should be addressed.
Water 2019, 11(5), 969; https://doi.org/10.3390/w11050969
Received: 3 April 2019 / Revised: 26 April 2019 / Accepted: 28 April 2019 / Published: 9 May 2019
(This article belongs to the Special Issue Pipeline Fluid Mechanics)

Abstract

In this paper, a pitch point absorber wave energy converter (WEC) is selected in order to be optimized for the wave characteristics of the Caspian Sea. The optimization process is a multi-objective optimization. For achieving the optimal WEC, mean absorbed power should be maximized while the construction cost should be minimized. The submerged surface area of the WEC is selected as a cost parameter. The amount of mean absorbed power depends on the installation site and also the shape of the WEC. For optimizing the shape of the WEC, various shapes are considered which are categorized into three different sections. A multi-objective genetic algorithm is used for optimization of the model, and the NEMOH software is used to simulate the wave-body interaction. The results show that the bottom flat and upside chamfered geometry with X:Y ratio of 10:1 is the best geometry for the desired application. Comparing the results from the final optimized shape with the optimized basic parallelepipedic hull shape reveals that much more extractable power can be achieved with less cost. View Full-Text
Keywords: wave energy converter; point absorber; geometry optimization; multi objective genetic algorithm; Caspian Sea wave energy converter; point absorber; geometry optimization; multi objective genetic algorithm; Caspian Sea
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Alamian, R.; Shafaghat, R.; Safaei, M.R. Multi-Objective Optimization of a Pitch Point Absorber Wave Energy Converter. Water 2019, 11, 969.

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