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Optimization of the Energy Capture Performance of the Lift-Drag Hybrid Vertical-Axis Wind Turbine Based on the Taguchi Experimental Method and CFD Simulation

Author

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  • Jintao Zhang

    (Guangdong Provincial Key Laboratory of Distributed Energy Systems, Dongguan University of Technology, Dongguan 523808, China
    Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Chao Wang

    (Guangdong Provincial Key Laboratory of Distributed Energy Systems, Dongguan University of Technology, Dongguan 523808, China)

  • Wenhao Liu

    (Guangdong Provincial Key Laboratory of Distributed Energy Systems, Dongguan University of Technology, Dongguan 523808, China
    Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Jianyang Zhu

    (Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Yangyang Yan

    (Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Hui Zhao

    (Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, China)

Abstract

In order to improve the energy capture performance of vertical axis lift wind turbines in a low wind speed environment, the drag wind turbine is employed to couple with the design of existing vertical axis lift wind turbines. In contrast to the existing literature, in this work, a computational model is proposed that can simulate the interaction between the turbine and the fluid. The effects of pitch angle ( β ), installation angle ( θ ), overlap ratio ( ε ) and diameter ratio (DL) on the energy capture performance of hybrid vertical axis wind turbines are systematically analyzed based on Taguchi and CFD methods. The results show that under the optimized parameter combination, the peak energy capture coefficient of the lift-drag hybrid wind turbine can be increased to 0.2328, compared with 0.0309 and 0.0287 of the pure lift and drag turbine, respectively. In addition, the result of the prototype test show that the optimized hybrid wind turbine not only has a better-starting performance but also has 2.0 times the output power of that of the lift wind turbine.

Suggested Citation

  • Jintao Zhang & Chao Wang & Wenhao Liu & Jianyang Zhu & Yangyang Yan & Hui Zhao, 2023. "Optimization of the Energy Capture Performance of the Lift-Drag Hybrid Vertical-Axis Wind Turbine Based on the Taguchi Experimental Method and CFD Simulation," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8848-:d:1160141
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    References listed on IDEAS

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    1. Guo, Jia & Zeng, Pan & Lei, Liping, 2019. "Performance of a straight-bladed vertical axis wind turbine with inclined pitch axes by wind tunnel experiments," Energy, Elsevier, vol. 174(C), pages 553-561.
    2. Sun, Xuejing & Zhu, Jianyang & Li, Zongjin & Sun, Guoxing, 2021. "Rotation improvement of vertical axis wind turbine by offsetting pitching angles and changing blade numbers," Energy, Elsevier, vol. 215(PB).
    3. Liang, Xiaoting & Fu, Sauchung & Ou, Baoxing & Wu, Chili & Chao, Christopher Y.H. & Pi, Kaihong, 2017. "A computational study of the effects of the radius ratio and attachment angle on the performance of a Darrieus-Savonius combined wind turbine," Renewable Energy, Elsevier, vol. 113(C), pages 329-334.
    4. Bai, H.L. & Chan, C.M. & Zhu, X.M. & Li, K.M., 2019. "A numerical study on the performance of a Savonius-type vertical-axis wind turbine in a confined long channel," Renewable Energy, Elsevier, vol. 139(C), pages 102-109.
    5. Gupta, R. & Biswas, A. & Sharma, K.K., 2008. "Comparative study of a three-bucket Savonius rotor with a combined three-bucket Savonius–three-bladed Darrieus rotor," Renewable Energy, Elsevier, vol. 33(9), pages 1974-1981.
    6. Tong, Guoqiang & Li, Yan & Tagawa, Kotaro & Feng, Fang, 2023. "Effects of blade airfoil chord length and rotor diameter on aerodynamic performance of straight-bladed vertical axis wind turbines by numerical simulation," Energy, Elsevier, vol. 265(C).
    7. Zhang, Lidong & Li, Jiao & Xu, Xiandong & Liu, Fengrui & Guo, Yuanjun & Yang, Zhile & Hu, Tianyu, 2023. "High spatial granularity residential heating load forecast based on Dendrite net model," Energy, Elsevier, vol. 269(C).
    8. Fang Feng & Guoqiang Tong & Yunfei Ma & Yan Li, 2021. "Numerical Simulation and Wind Tunnel Investigation on Static Characteristics of VAWT Rotor Starter with Lift-Drag Combined Structure," Energies, MDPI, vol. 14(19), pages 1-24, September.
    9. Sridhar, Surya & Zuber, Mohammad & B., Satish Shenoy & Kumar, Amit & Ng, Eddie Y.K. & Radhakrishnan, Jayakrishnan, 2022. "Aerodynamic comparison of slotted and non-slotted diffuser casings for Diffuser Augmented Wind Turbines (DAWT)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    10. Chan, C.M. & Bai, H.L. & He, D.Q., 2018. "Blade shape optimization of the Savonius wind turbine using a genetic algorithm," Applied Energy, Elsevier, vol. 213(C), pages 148-157.
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