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Numerical investigation of azimuth dependent smart rotor control on a large-scale offshore wind turbine

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  • Zhang, Mingming
  • Yang, Honglei
  • Xu, Jianzhong

Abstract

The smart fatigue load control of a large-scale wind turbine blade was numerically investigated on our newly integrated aero-servo-elastic platform with emphasis on the effect of azimuth angles. It was found that the smart control effectively reversed the phases of the flapwise aerodynamic force or the acceleration through the controllable deformable trailing edge flap (DTEF) activation within most of rotor azimuth angle range, turning in-phased flow-blade interaction into an anti-phased one at primary 1P mode, significantly enhancing the damping of the fluid-structure system and subsequently contributing to the greatly attenuatedflapwise fatigue loads on the blade and turbine performances. This aero-elastic control physics was most drastic as the investigations were focused on the case beyond the rated wind velocity, leading to the maximum reduction percentages in the time-averaged and azimuth-averaged fatigue loads up to about 30.0%, in contrast to the collective pitch control method. In addition, the finding pointed to a crucial role that the suppression of the coupled flow-blade system dependent on azimuth angles played in the smart blade control, which might guarantee better effectiveness if it would be considered in the development of the DTEF controller.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:105:y:2017:i:c:p:248-256
    DOI: 10.1016/j.renene.2016.12.063
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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. 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.
    Full references (including those not matched with items on IDEAS)

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    2. Li, Qing'an & Cai, Chang & Kamada, Yasunari & Maeda, Takao & Hiromori, Yuto & Zhou, Shuni & Xu, Jianzhong, 2021. "Prediction of power generation of two 30 kW Horizontal Axis Wind Turbines with Gaussian model," Energy, Elsevier, vol. 231(C).
    3. Noyes, Carlos & Qin, Chao & Loth, Eric, 2018. "Pre-aligned downwind rotor for a 13.2 MW wind turbine," Renewable Energy, Elsevier, vol. 116(PA), pages 749-754.
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    5. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Wang, Xuefei & Zeng, Xiangwu & Li, Xinyao & Li, Jiale, 2019. "Investigation on offshore wind turbine with an innovative hybrid monopile foundation: An experimental based study," Renewable Energy, Elsevier, vol. 132(C), pages 129-141.
    7. Zhang, Mingming & Li, Xin & Tong, Jingxin & Xu, Jianzhong, 2020. "Load control of floating wind turbine on a Tension-Leg-Platform subject to extreme wind condition," Renewable Energy, Elsevier, vol. 151(C), pages 993-1007.
    8. 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).
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