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Large Eddy Simulation of wind turbine wake interaction in directionally sheared inflows

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  • Chanprasert, W.
  • Sharma, R.N.
  • Cater, J.E.
  • Norris, S.E.

Abstract

A coupled Large Eddy Simulation (LES) and turbine aeroelastic code was used to investigate the impact of directionally sheared inflows on wake interaction in a four-inline turbine array. The wake characteristics in large directional shear inflows were studied to quantify their influence on fatigue loads on the downstream turbines. Coriolis forces were varied by setting the latitude to 0°, 45° and −45°, to produce zero directional shear, the wind veering (Northern hemisphere) and wind backing (Southern hemisphere), respectively, where the hub-height mean wind speed for all cases was controlled to 7 m/s. This was intended to evaluate wind farm turbine operations in the Southern hemisphere which have not been studied before. The results showed that the wake rotations are affected by the lateral velocity of the ambient wind, which causes differences in radial wake expansion and wakes shape twist angle in the Northern and Southern hemispheres. The symmetric wakes in the zero directional shear case led to lower fatigue loads on the blades and rotor shaft compared to skewed wakes. The flapwise blade-root bending moment of downstream turbines at 1P frequency under wind veering (Northern hemisphere) was found to be approximately three times that under wind backing (Southern hemisphere).

Suggested Citation

  • Chanprasert, W. & Sharma, R.N. & Cater, J.E. & Norris, S.E., 2022. "Large Eddy Simulation of wind turbine wake interaction in directionally sheared inflows," Renewable Energy, Elsevier, vol. 201(P1), pages 1096-1110.
  • Handle: RePEc:eee:renene:v:201:y:2022:i:p1:p:1096-1110
    DOI: 10.1016/j.renene.2022.11.021
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    References listed on IDEAS

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    1. Strickland, Jessica M.I. & Gadde, Srinidhi N. & Stevens, Richard J.A.M., 2022. "Wind farm blockage in a stable atmospheric boundary layer," Renewable Energy, Elsevier, vol. 197(C), pages 50-58.
    2. Gao, Zhiteng & Li, Ye & Wang, Tongguang & Shen, Wenzhong & Zheng, Xiaobo & Pröbsting, Stefan & Li, Deshun & Li, Rennian, 2021. "Modelling the nacelle wake of a horizontal-axis wind turbine under different yaw conditions," Renewable Energy, Elsevier, vol. 172(C), pages 263-275.
    3. Tian, Linlin & Song, Yilei & Zhao, Ning & Shen, Wenzhong & Wang, Tongguang & Zhu, Chunling, 2020. "Numerical investigations into the idealized diurnal cycle of atmospheric boundary layer and its impact on wind turbine's power performance," Renewable Energy, Elsevier, vol. 145(C), pages 419-427.
    4. Storey, R.C. & Cater, J.E. & Norris, S.E., 2016. "Large eddy simulation of turbine loading and performance in a wind farm," Renewable Energy, Elsevier, vol. 95(C), pages 31-42.
    5. Asmuth, Henrik & Navarro Diaz, Gonzalo P. & Madsen, Helge Aagaard & Branlard, Emmanuel & Meyer Forsting, Alexander R. & Nilsson, Karl & Jonkman, Jason & Ivanell, Stefan, 2022. "Wind turbine response in waked inflow: A modelling benchmark against full-scale measurements," Renewable Energy, Elsevier, vol. 191(C), pages 868-887.
    6. Chanprasert, W. & Sharma, R.N. & Cater, J.E. & Norris, S.E., 2022. "Large Eddy Simulation of wind turbine fatigue loading and yaw dynamics induced by wake turbulence," Renewable Energy, Elsevier, vol. 190(C), pages 208-222.
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