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Wake meandering of wind turbines under dynamic yaw control and impacts on power and fatigue

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  • Lin, Mou
  • Porté-Agel, Fernando

Abstract

In this study, we use large-eddy simulation (LES) to investigate the wake-meandering phenomenon within a wind turbine array under dynamic yaw control (DYC) and the effects on power and fatigue. The wind turbine array consists of eight NREL 5-MW reference turbines aligned with the inflow direction. The first turbine in the array is subjected to sinusoidal yaw control with a magnitude of 10∘ and different yaw frequencies. Based on spectral and dynamic-mode-decomposition (DMD) analyses of the flow fields, we find that the wake meandering within the turbine array is significantly amplified when the turbine yaw frequency coincides with the natural wake meandering frequency of the turbine array in the static zero-yaw condition. The resonance of wake meandering accelerates wake recovery and helps the turbine array achieve an optimal power gain (5% with respect to the non-yaw baseline cases). We also find that the fatigue of the turbine array overall increases with the yaw frequency of the first turbine, highlighting the necessity of jointly considering power production and fatigue when applying DYC.

Suggested Citation

  • Lin, Mou & Porté-Agel, Fernando, 2024. "Wake meandering of wind turbines under dynamic yaw control and impacts on power and fatigue," Renewable Energy, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:renene:v:223:y:2024:i:c:s0960148124000685
    DOI: 10.1016/j.renene.2024.120003
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    Citations

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    Cited by:

    1. Huanran Guo & Liru Zhang & Jing Jia & Ding Du & Anhao Wei & Tianhao Liu, 2025. "Structural Characteristics of Wind Turbines with Different Blade Materials Under Yaw Condition," Energies, MDPI, vol. 18(21), pages 1-19, October.
    2. Zhang, Zhihao & Yang, Haoran & Wang, Runzhong & Zhang, Kai & Zhou, Dai & Zhu, Hongbo & Zhang, Puyang & Han, Zhaolong & Cao, Yong & Tu, Jiahuang, 2025. "Effects of combined platform rotation and pitch motions on aerodynamic loading and wake recovery of a single-point moored twin-rotor floating wind turbine," Energy, Elsevier, vol. 320(C).
    3. Hosseini, Amir & Cannon, Daniel Trevor & Vasel-Be-Hagh, Ahmad, 2025. "Wind farm active wake control via concurrent yaw and tip-speed ratio optimization," Applied Energy, Elsevier, vol. 377(PD).
    4. Wang, Yize & Liu, Zhenqing & Hu, Yilu & Bai, Guangpu, 2026. "A coherent power-load optimization algorithm for wind farm-level yaw control considering wake effects via deep neural network," Renewable Energy, Elsevier, vol. 257(C).
    5. Wang, Yize & Liu, Zhenqing, 2025. "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control," Energy, Elsevier, vol. 326(C).
    6. Xu, Zongyuan & Gao, Xiaoxia & Zhang, Huanqiang & Lu, Hongkun & Han, Zhonghe & Zhu, Xiaoxun & Wang, Yu & Zhao, Wensheng, 2025. "Coupled effects of 3D wake expansion and terrain anisotropy on downstream wind turbine power performance and fatigue load," Energy, Elsevier, vol. 334(C).
    7. Bai, Guan & Feng, Yaojing & Ma, Zi-Qian & Li, Xueping, 2024. "An asynchronous distributed optimal wake control scheme for suppressing fatigue load and increasing power extraction in wind farms," Renewable Energy, Elsevier, vol. 232(C).
    8. Zhang, Zhihao & Yang, Haoran & Zhang, Kai & Zhou, Dai & Zhu, Hongbo & Cao, Yong & Han, Zhaolong & Tu, Jiahuang, 2026. "Potential of cyclic yaw control in twin-rotor wind turbine arrays: Preliminary numerical study," Renewable Energy, Elsevier, vol. 256(PA).

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