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Optimizing H-Darrieus Wind Turbine Performance with Double-Deflector Design

Author

Listed:
  • Wei-Hsin Chen

    (Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, Taiwan
    Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan
    Department of Mechanical Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan)

  • Trinh Tung Lam

    (International Degree Program on Energy Engineering, National Cheng Kung University, Tainan 701, Taiwan)

  • Min-Hsing Chang

    (Department of Energy Engineering, National United University, Miaoli 360, Taiwan)

  • Liwen Jin

    (Institute of Building Environment and Sustainable Technology, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 712000, China)

  • Chih-Che Chueh

    (Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, Taiwan)

  • Gerardo Lumagbas Augusto

    (Mechanical Engineering Department, De La Salle University, 2401 Taft Avenue, Manila 0922, Philippines)

Abstract

This study aims to improve an H-Darrieus vertical-axis wind turbine (VAWT) by imposing a novel double-deflector design. A computational fluid dynamics (CFD) model was implemented to examine the aerodynamic characteristics of the VAWT with double deflectors. Geometrics factors related to the locations of the two deflectors were considered, and the orthogonal array based on the Taguchi method was constructed for CFD simulation. The CFD results were further provided as the training data for the artificial neural network (ANN) to forecast the optimal configuration. The results indicate that the performance of a VAWT with a double-deflector design could exceed that of a bare VAWT or that of one using a single deflector. The mean power coefficient for a bare VAWT is 0.37, although it could be much higher with a proper setup using double deflectors. The prediction of ANN analysis is consistent with the result of CFD simulation, in which the difference between the ANN prediction and CFD simulation is generally less than 4.48%. The result confirms the accuracy of the prediction of the optimal VAWT performance with a double-deflector design.

Suggested Citation

  • Wei-Hsin Chen & Trinh Tung Lam & Min-Hsing Chang & Liwen Jin & Chih-Che Chueh & Gerardo Lumagbas Augusto, 2024. "Optimizing H-Darrieus Wind Turbine Performance with Double-Deflector Design," Energies, MDPI, vol. 17(2), pages 1-24, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:503-:d:1322861
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    References listed on IDEAS

    as
    1. Chen, Wei-Hsin & Chen, Ching-Ying & Huang, Chun-Yen & Hwang, Chii-Jong, 2017. "Power output analysis and optimization of two straight-bladed vertical-axis wind turbines," Applied Energy, Elsevier, vol. 185(P1), pages 223-232.
    2. Almohammadi, K.M. & Ingham, D.B. & Ma, L. & Pourkashan, M., 2013. "Computational fluid dynamics (CFD) mesh independency techniques for a straight blade vertical axis wind turbine," Energy, Elsevier, vol. 58(C), pages 483-493.
    3. Golecha, Kailash & Eldho, T.I. & Prabhu, S.V., 2011. "Influence of the deflector plate on the performance of modified Savonius water turbine," Applied Energy, Elsevier, vol. 88(9), pages 3207-3217.
    4. Sedaghat, Ahmad & Hassanzadeh, Arash & Jamali, Jamaloddin & Mostafaeipour, Ali & Chen, Wei-Hsin, 2017. "Determination of rated wind speed for maximum annual energy production of variable speed wind turbines," Applied Energy, Elsevier, vol. 205(C), pages 781-789.
    5. Qasemi, Keyhan & Azadani, Leila N., 2020. "Optimization of the power output of a vertical axis wind turbine augmented with a flat plate deflector," Energy, Elsevier, vol. 202(C).
    6. Oh, Eunsung & Son, Sung-Yong, 2018. "Energy-storage system sizing and operation strategies based on discrete Fourier transform for reliable wind-power generation," Renewable Energy, Elsevier, vol. 116(PA), pages 786-794.
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