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An Estimation of Hydraulic Power Take-off Unit Parameters for Wave Energy Converter Device Using Non-Evolutionary NLPQL and Evolutionary GA Approaches

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  • Mohd Afifi Jusoh

    (Renewable Energy & Power Research Interest Group (REPRIG), Eastern Corridor Renewable Energy Special Interest Group, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia)

  • Mohd Zamri Ibrahim

    (Renewable Energy & Power Research Interest Group (REPRIG), Eastern Corridor Renewable Energy Special Interest Group, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia)

  • Muhamad Zalani Daud

    (Renewable Energy & Power Research Interest Group (REPRIG), Eastern Corridor Renewable Energy Special Interest Group, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia)

  • Zulkifli Mohd Yusop

    (Renewable Energy & Power Research Interest Group (REPRIG), Eastern Corridor Renewable Energy Special Interest Group, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia)

  • Aliashim Albani

    (Renewable Energy & Power Research Interest Group (REPRIG), Eastern Corridor Renewable Energy Special Interest Group, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia)

Abstract

This study is concerned with the application of two major kinds of optimisation algorithms on the hydraulic power take-off (HPTO) model for the wave energy converters (WECs). In general, the HPTO unit’s performance depends on the configuration of its parameters such as hydraulic cylinder size, hydraulic accumulator capacity and pre-charge pressure and hydraulic motor displacement. Conventionally, the optimal parameters of the HPTO unit need to be manually estimated by repeating setting the parameters’ values during the simulation process. However, such an estimation method can easily be exposed to human error and would subsequently result in an inaccurate selection of HPTO parameters for WECs. Therefore, an effective approach of using the non-evolutionary Non-Linear Programming by Quadratic Lagrangian (NLPQL) and evolutionary Genetic Algorithm (GA) algorithms for determining the optimal HPTO parameters was explored in the present study. A simulation–optimisation of the HPTO model was performed in the MATLAB/Simulink environment. A complete WECs model was built using Simscape Fluids toolbox in MATLAB/Simulink. The actual specifications of hydraulic components from the manufacturer were used during the simulation study. The simulation results showed that the performance of optimal HPTO units optimised by NLPQL and GA approaches have significantly improved up to 96% and 97%, respectively, in regular wave conditions. The results also showed that both optimal HPTO units were capable of generating electricity up to 62% and 77%, respectively, of their rated capacity in irregular wave circumstances.

Suggested Citation

  • Mohd Afifi Jusoh & Mohd Zamri Ibrahim & Muhamad Zalani Daud & Zulkifli Mohd Yusop & Aliashim Albani, 2020. "An Estimation of Hydraulic Power Take-off Unit Parameters for Wave Energy Converter Device Using Non-Evolutionary NLPQL and Evolutionary GA Approaches," Energies, MDPI, vol. 14(1), pages 1-26, December.
    • Handle: RePEc:gam:jeners:v:14:y:2020:i:1:p:79-:d:468360
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    References listed on IDEAS

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    1. Mustapa, M.A. & Yaakob, O.B. & Ahmed, Yasser M. & Rheem, Chang-Kyu & Koh, K.K. & Adnan, Faizul Amri, 2017. "Wave energy device and breakwater integration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 43-58.
    2. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.
    3. Galván-Pozos, D.E. & Ocampo-Torres, F.J., 2020. "Dynamic analysis of a six-degree of freedom wave energy converter based on the concept of the Stewart-Gough platform," Renewable Energy, Elsevier, vol. 146(C), pages 1051-1061.
    4. Calvário, M. & Gaspar, J.F. & Kamarlouei, M. & Hallak, T.S. & Guedes Soares, C., 2020. "Oil-hydraulic power take-off concept for an oscillating wave surge converter," Renewable Energy, Elsevier, vol. 159(C), pages 1297-1309.
    5. Brito, Moisés & Ferreira, Rui M.L. & Teixeira, Luis & Neves, Maria G. & Canelas, Ricardo B., 2020. "Experimental investigation on the power capture of an oscillating wave surge converter in unidirectional waves," Renewable Energy, Elsevier, vol. 151(C), pages 975-992.
    6. Rico H. Hansen & Morten M. Kramer & Enrique Vidal, 2013. "Discrete Displacement Hydraulic Power Take-Off System for the Wavestar Wave Energy Converter," Energies, MDPI, vol. 6(8), pages 1-44, August.
    7. Gaspar, José F. & Calvário, Miguel & Kamarlouei, Mojtaba & Guedes Soares, C., 2016. "Power take-off concept for wave energy converters based on oil-hydraulic transformer units," Renewable Energy, Elsevier, vol. 86(C), pages 1232-1246.
    8. Mohd Afifi Jusoh & Mohd Zamri Ibrahim & Muhamad Zalani Daud & Aliashim Albani & Zulkifli Mohd Yusop, 2019. "Hydraulic Power Take-Off Concepts for Wave Energy Conversion System: A Review," Energies, MDPI, vol. 12(23), pages 1-23, November.
    9. Ransley, E.J. & Greaves, D.M. & Raby, A. & Simmonds, D. & Jakobsen, M.M. & Kramer, M., 2017. "RANS-VOF modelling of the Wavestar point absorber," Renewable Energy, Elsevier, vol. 109(C), pages 49-65.
    10. Penalba, Markel & Davidson, Josh & Windt, Christian & Ringwood, John V., 2018. "A high-fidelity wave-to-wire simulation platform for wave energy converters: Coupled numerical wave tank and power take-off models," Applied Energy, Elsevier, vol. 226(C), pages 655-669.
    11. Anders Hedegaard Hansen & Magnus F. Asmussen & Michael M. Bech, 2018. "Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System," Energies, MDPI, vol. 11(3), pages 1-17, March.
    12. McCabe, A.P. & Aggidis, G.A. & Widden, M.B., 2010. "Optimizing the shape of a surge-and-pitch wave energy collector using a genetic algorithm," Renewable Energy, Elsevier, vol. 35(12), pages 2767-2775.
    13. Windt, Christian & Davidson, Josh & Ransley, Edward J. & Greaves, Deborah & Jakobsen, Morten & Kramer, Morten & Ringwood, John V., 2020. "Validation of a CFD-based numerical wave tank model for the power production assessment of the wavestar ocean wave energy converter," Renewable Energy, Elsevier, vol. 146(C), pages 2499-2516.
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    Cited by:

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    2. Senthil Kumar Natarajan & Il Hyoung Cho, 2025. "Techno-Economic Analysis and Power Take-Off Optimization of a Wave Energy Converter Adjacent to a Vertical Seawall," Energies, MDPI, vol. 18(16), pages 1-20, August.

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