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Dynamic Stall Control on the Wind Turbine Airfoil via a Co-Flow Jet

Author

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  • He-Yong Xu

    (National Key Laboratory of Science and Technology on Aerodynamic Design and Research, Northwestern Polytechnical University, Xi’an 710072, China)

  • Chen-Liang Qiao

    (National Key Laboratory of Science and Technology on Aerodynamic Design and Research, Northwestern Polytechnical University, Xi’an 710072, China)

  • Zheng-Yin Ye

    (National Key Laboratory of Science and Technology on Aerodynamic Design and Research, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

Dynamic stall control of a S809 airfoil is numerically investigated by implementing a co-flow jet (CFJ). The numerical methods of the solver are validated by comparing results with the baseline experiment as well as a NACA 6415-based CFJ experiment, showing good agreement in both static and dynamic characteristics. The CFJ airfoil with inactive jet is simulated to study the impact that the jet channel imposes upon the dynamic characteristics. It is shown that the presence of a long jet channel could cause a negative effect of decreasing lift and increasing drag, leading to fluctuating extreme loads in terms of drag and moment. The main focus of the present research is the investigation of the dynamic characteristics of the CFJ airfoil with three different jet momentum coefficients, which are compared with the baseline, giving encouraging results. Dynamic stall can be greatly suppressed, showing a very good control performance of significantly increased lift and reduced drag and moment. Analysis of the amplitude of variation in the aerodynamic coefficients indicates that the fluctuating extreme aerodynamic loads are significantly alleviated, which is conducive to structural reliability and improved life cycle. The energy consumption analysis shows that the CFJ concept is applicable and economical in controlling dynamic stall.

Suggested Citation

  • He-Yong Xu & Chen-Liang Qiao & Zheng-Yin Ye, 2016. "Dynamic Stall Control on the Wind Turbine Airfoil via a Co-Flow Jet," Energies, MDPI, vol. 9(6), pages 1-25, June.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:429-:d:71284
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    References listed on IDEAS

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    1. Gao, Linyue & Zhang, Hui & Liu, Yongqian & Han, Shuang, 2015. "Effects of vortex generators on a blunt trailing-edge airfoil for wind turbines," Renewable Energy, Elsevier, vol. 76(C), pages 303-311.
    2. Mo, Wenwei & Li, Deyuan & Wang, Xianneng & Zhong, Cantang, 2015. "Aeroelastic coupling analysis of the flexible blade of a wind turbine," Energy, Elsevier, vol. 89(C), pages 1001-1009.
    3. Macquart, Terence & Maheri, Alireza & Busawon, Krishna, 2014. "Microtab dynamic modelling for wind turbine blade load rejection," Renewable Energy, Elsevier, vol. 64(C), pages 144-152.
    4. Pierre Tchakoua & René Wamkeue & Mohand Ouhrouche & Fouad Slaoui-Hasnaoui & Tommy Andy Tameghe & Gabriel Ekemb, 2014. "Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges," Energies, MDPI, vol. 7(4), pages 1-36, April.
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    Cited by:

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    2. Shunlei Zhang & Xudong Yang & Bifeng Song, 2021. "Numerical Investigation of Performance Enhancement of the S809 Airfoil and Phase VI Wind Turbine Blade Using Co-Flow Jet Technology," Energies, MDPI, vol. 14(21), pages 1-20, October.
    3. Müller-Vahl, Hanns Friedrich & Pechlivanoglou, Georgios & Nayeri, Christian Navid & Paschereit, Christian Oliver & Greenblatt, David, 2017. "Matched pitch rate extensions to dynamic stall on rotor blades," Renewable Energy, Elsevier, vol. 105(C), pages 505-519.
    4. Fatehi, Mostafa & Nili-Ahmadabadi, Mahdi & Nematollahi, Omid & Minaiean, Ali & Kim, Kyung Chun, 2019. "Aerodynamic performance improvement of wind turbine blade by cavity shape optimization," Renewable Energy, Elsevier, vol. 132(C), pages 773-785.
    5. Chengyong Zhu & Tongguang Wang & Jie Chen & Wei Zhong, 2020. "Effect of Single-Row and Double-Row Passive Vortex Generators on the Deep Dynamic Stall of a Wind Turbine Airfoil," Energies, MDPI, vol. 13(10), pages 1-13, May.
    6. Zhu, Chengyong & Feng, Yi & Shen, Xiang & Dang, Zhigao & Chen, Jie & Qiu, Yingning & Feng, Yanhui & Wang, Tongguang, 2023. "Effects of the height and chordwise installation of the vane-type vortex generators on the unsteady aerodynamics of a wind turbine airfoil undergoing dynamic stall," Energy, Elsevier, vol. 266(C).
    7. Xu, He-Yong & Qiao, Chen-Liang & Yang, Hui-Qiang & Ye, Zheng-Yin, 2017. "Delayed detached eddy simulation of the wind turbine airfoil S809 for angles of attack up to 90 degrees," Energy, Elsevier, vol. 118(C), pages 1090-1109.
    8. Sun, Yukun & Qian, Yaoru & Wang, Tongguang & Wang, Long & Zhu, Chengyong & Gao, Yang, 2025. "Quantitative impact of combining blowing and suction flow control on a floating offshore wind turbine aerodynamic performance under the surge motion," Renewable Energy, Elsevier, vol. 238(C).
    9. Taurista P. Syawitri & Yufeng Yao & Jun Yao & Budi Chandra, 2022. "A review on the use of passive flow control devices as performance enhancement of lift‐type vertical axis wind turbines," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(4), July.
    10. Sun, Jinjing & Sun, Xiaojing & Huang, Diangui, 2020. "Aerodynamics of vertical-axis wind turbine with boundary layer suction – Effects of suction momentum," Energy, Elsevier, vol. 209(C).
    11. De Tavernier, D. & Ferreira, C. & Viré, A. & LeBlanc, B. & Bernardy, S., 2021. "Controlling dynamic stall using vortex generators on a wind turbine airfoil," Renewable Energy, Elsevier, vol. 172(C), pages 1194-1211.
    12. Zhu, Chengyong & Chen, Jie & Wu, Jianghai & Wang, Tongguang, 2019. "Dynamic stall control of the wind turbine airfoil via single-row and double-row passive vortex generators," Energy, Elsevier, vol. 189(C).
    13. Mohammadi, Morteza & Maghrebi, Mohammad Javad, 2021. "Improvement of wind turbine aerodynamic performance by vanquishing stall with active multi air jet blowing," Energy, Elsevier, vol. 224(C).
    14. Velasco, D. & López Mejia, O. & Laín, S., 2017. "Numerical simulations of active flow control with synthetic jets in a Darrieus turbine," Renewable Energy, Elsevier, vol. 113(C), pages 129-140.
    15. He-Yong Xu & Qing-Li Dong & Chen-Liang Qiao & Zheng-Yin Ye, 2018. "Flow Control over the Blunt Trailing Edge of Wind Turbine Airfoils Using Circulation Control," Energies, MDPI, vol. 11(3), pages 1-26, March.
    16. Sun, Yukun & Qian, Yaoru & Gao, Yang & Wang, Tongguang & Wang, Long, 2024. "Stall control on the wind turbine airfoil via the single and dual-channel of combining bowing and suction technique," Energy, Elsevier, vol. 290(C).
    17. Guoqiang, Li & Shihe, Yi, 2020. "Large eddy simulation of dynamic stall flow control for wind turbine airfoil using plasma actuator," Energy, Elsevier, vol. 212(C).
    18. Unai Fernandez-Gamiz & Ekaitz Zulueta & Ana Boyano & Igor Ansoategui & Irantzu Uriarte, 2017. "Five Megawatt Wind Turbine Power Output Improvements by Passive Flow Control Devices," Energies, MDPI, vol. 10(6), pages 1-15, May.
    19. Liu, Jian & Zhu, Wenqing & Xiao, Zhixiang & Sun, Haisheng & Huang, Yong & Liu, Zhitao, 2018. "DDES with adaptive coefficient for stalled flows past a wind turbine airfoil," Energy, Elsevier, vol. 161(C), pages 846-858.
    20. Liu, Yue & Yin, Yanchao, 2024. "Numerical investigation of unsteady aerodynamics on a grooved NACA 4415 airfoil," Renewable Energy, Elsevier, vol. 237(PA).
    21. Nabhani, Ahmad & Tousi, Navid M. & Coma, Martí & Bugeda, Gabriel & Bergadà, Josep M., 2025. "Large-scale horizontal axis wind turbine aerodynamic efficiency optimization using active flow control and synthetic jets," Energy, Elsevier, vol. 319(C).
    22. Acarer, Sercan, 2020. "Peak lift-to-drag ratio enhancement of the DU12W262 airfoil by passive flow control and its impact on horizontal and vertical axis wind turbines," Energy, Elsevier, vol. 201(C).
    23. 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.

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