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Effect of Smart Rotor Control Using a Deformable Trailing Edge Flap on Load Reduction under Normal and Extreme Turbulence

Author

Listed:
  • Wei Yu

    (Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China)

  • Ming Ming Zhang

    (Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China)

  • Jian Zhong Xu

    (Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

This paper presents a newly developed aero-servo-elastic platform for implementing smart rotor control and shows its effectiveness with aerodynamic loads on large-scale offshore wind turbines. The platform was built by improving the FAST/Aerodyn codes with the integration of an external deformable trailing edge flap controller in the Matlab/Simulink software. Smart rotor control was applied to an Upwind/NREL 5 MW reference wind turbine under various operating wind conditions in accordance with the IEC Normal Turbulence Model (NTM) and Extreme Turbulence Model (ETM). Results showed that, irrespective of whether the NTM or ETM case was considered, aerodynamic load in terms of blade flapwise root moment and tip deflection were effectively reduced. Furthermore, the smart rotor control also positively affected generator power, pitch system and tower load. These results laying a foundation for a future migration of the “smart rotor control” concept into the design of large-scale offshore wind turbines.

Suggested Citation

  • Wei Yu & Ming Ming Zhang & Jian Zhong Xu, 2012. "Effect of Smart Rotor Control Using a Deformable Trailing Edge Flap on Load Reduction under Normal and Extreme Turbulence," Energies, MDPI, vol. 5(9), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:9:p:3608-3626:d:20143
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    Citations

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    Cited by:

    1. Zhang, Mingming & Li, Xin & Xu, Jianzhong, 2019. "Smart control of fatigue loads on a floating wind turbine with a tension-leg-platform," Renewable Energy, Elsevier, vol. 134(C), pages 745-756.
    2. Keshan He & Liangwen Qi & Liming Zheng & Yan Chen, 2018. "Combined Pitch and Trailing Edge Flap Control for Load Mitigation of Wind Turbines," Energies, MDPI, vol. 11(10), pages 1-16, September.
    3. Zhang, Mingming & Tan, Bin & Xu, Jianzhong, 2016. "Smart fatigue load control on the large-scale wind turbine blades using different sensing signals," Renewable Energy, Elsevier, vol. 87(P1), pages 111-119.
    4. Njiri, Jackson G. & Söffker, Dirk, 2016. "State-of-the-art in wind turbine control: Trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 377-393.
    5. Truong, Hoai Vu Anh & Dang, Tri Dung & Vo, Cong Phat & Ahn, Kyoung Kwan, 2022. "Active control strategies for system enhancement and load mitigation of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    6. Zhang, Mingming & Yang, Honglei & Xu, Jianzhong, 2017. "Numerical investigation of azimuth dependent smart rotor control on a large-scale offshore wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 248-256.
    7. Yanzhao Yang & Zhiping Guo & Qing Song & Yanfeng Zhang & Qing’an Li, 2018. "Effect of Blade Pitch Angle on the Aerodynamic Characteristics of a Straight-bladed Vertical Axis Wind Turbine Based on Experiments and Simulations," Energies, MDPI, vol. 11(6), pages 1-15, June.
    8. Zhang, Mingming & Yu, Wei & Xu, Jianzhong, 2014. "Aerodynamic physics of smart load control for wind turbine due to extreme wind shear," Renewable Energy, Elsevier, vol. 70(C), pages 204-210.
    9. Zhang, Mingming & Tan, Bin & Xu, Jianzhong, 2015. "Parameter study of sizing and placement of deformable trailing edge flap on blade fatigue load reduction," Renewable Energy, Elsevier, vol. 77(C), pages 217-226.

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