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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. 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.
    2. 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.
    3. 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.
    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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    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.
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    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. 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.
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