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An improved dynamic stall model and its effect on wind turbine fatigue load prediction

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  • Liu, Xiong
  • Liang, Shi
  • Li, Gangqiang
  • Godbole, Ajit
  • Lu, Cheng

Abstract

Due to the nature of the atmospheric boundary layer, large Horizontal-Axis Wind Turbines (HAWTs) generally operate in highly unstable environment, leading to nonstationary loads on HAWT structures. Therefore, it is important to accurately estimate the nonstationary loads to ensure appropriate design boundaries. In this paper, an improved dynamic stall model based on the Beddoes-Leishman (B-L) model is proposed for the estimation of nonstationary aerodynamic loads. The B-L model is modified to account for the characteristics of wind turbine aerofoils which operate at lower Mach numbers and have a larger thickness-to-chord ratio compared to aviation aerofoils. Validation of the model is performed extensively through simulations of the S809 aerofoil under pitch oscillation with different mean angles of attack, oscillating amplitudes and reduced frequencies. To understand the effects of the modifications introduced to the dynamic stall model on the aerodynamic fatigue loads over the lifetime of a wind turbine, a load analysis of a 2 MW HAWT is conducted. The load analysis uses the Blade-Element Momentum (BEM) theory in conjunction with the dynamic stall models. The presented modified dynamic stall model is applicable to wind turbine aerofoils with relative thicknesses greater than 15%.

Suggested Citation

  • Liu, Xiong & Liang, Shi & Li, Gangqiang & Godbole, Ajit & Lu, Cheng, 2020. "An improved dynamic stall model and its effect on wind turbine fatigue load prediction," Renewable Energy, Elsevier, vol. 156(C), pages 117-130.
    • Handle: RePEc:eee:renene:v:156:y:2020:i:c:p:117-130
    DOI: 10.1016/j.renene.2020.04.040
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    References listed on IDEAS

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    Cited by:

    1. Shi, Zijie & Gao, Chuanqiang & Dou, Zihao & Zhang, Weiwei, 2024. "Dynamic stall modeling of wind turbine blade sections based on a data-knowledge fusion method," Energy, Elsevier, vol. 305(C).
    2. Zhu, Chengyong & Qiu, Yingning & Wang, Tongguang, 2021. "Dynamic stall of the wind turbine airfoil and blade undergoing pitch oscillations: A comparative study," Energy, Elsevier, vol. 222(C).
    3. Zhang, Lijun & Miao, Junjie & Gu, Jiawei & Li, Xiang & Hu, Kuoliang & Zhu, Huaibao & Sun, Xuefa & Liu, Jing & Liu, Yanxin & Wang, Zhiwei, 2021. "A method of reducing the radial load of the shaft of a vertical axis wind turbine based on movable mass blocks," Renewable Energy, Elsevier, vol. 175(C), pages 952-964.
    4. 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.
    5. Ge, Mingwei & Sun, Haitao & Meng, Hang & Li, Xintao, 2024. "An improved B-L model for dynamic stall prediction of rough-surface airfoils," Renewable Energy, Elsevier, vol. 226(C).
    6. Karthikvel Elangovan & S. Nadaraja Pillai, 2025. "Effect of Pitch Angle on Structural and Aerodynamic Characteristics of Vertical-Axis Wind Turbines (VAWTs) Using Leading-Edge Protuberance Blades," Energies, MDPI, vol. 18(2), pages 1-28, January.
    7. Li, Zhiguo & Gao, Zhiying & Dai, Yuanjun & Wen, Caifeng & Zhang, Liru & Wang, Jianwen, 2023. "Unsteady aeroelastic performance analysis for large-scale megawatt wind turbines based on a novel aeroelastic coupling model," Renewable Energy, Elsevier, vol. 218(C).
    8. Li, Zhiguo & Gao, Zhiying & Chen, Yongyan & Zhang, Liru & Wang, Jianwen, 2022. "A novel dynamic stall model based on Theodorsen theory and its application," Renewable Energy, Elsevier, vol. 193(C), pages 344-356.

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