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Analytical and numerical study on centrifugal stiffening effect for large rotating wind turbine blade based on NREL 5 MW and WindPACT 1.5 MW models

Author

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  • Meng, Hang
  • Jin, Danyang
  • Li, Li
  • Liu, Yongqian

Abstract

To pursue high efficiency for wind turbine and harness more energy from wind, the wind power generation system has been designed larger and larger. With length scale increasing, the natural frequency of blade will be lower and changing dramatically with rotational speed, which will threaten the stability of the blade and turbine. However, in the previous research, the parametric, analytical, and quantitative study of centrifugal stiffening effect is rare to see. As a result, the current research has comprehensively studied the centrifugal stiffening effect on the structural characteristics of large wind turbine blade. Specifically, the equivalent rotating wedge beam model has been proposed for composite wind turbine blade. Based on the proposed wedge beam model and Rayleigh-Ritz method, the natural frequency variation curve has been derived and verified by ANSYS 3D simulation results. The parameters, including blade length, stiffness-mass ratio, and aspect ratio, affecting the natural frequency curve have been uncovered and analysed. It was found that the centrifugal stiffening effect has a great impact on the fundamental frequency of blade, e.g. 10% for NREL 5 MW, while it has less impact on other modal frequencies. The variation curve of fundamental natural frequency can be approximated by parabola. The product of the parabola curvature and fundamental frequency is found to be approximately constant for both NREL 5 MW and WindPACT 1.5 MW turbine blades. This research will provide guidelines for the resonance avoidance design of large wind turbine blade in the future.

Suggested Citation

  • Meng, Hang & Jin, Danyang & Li, Li & Liu, Yongqian, 2022. "Analytical and numerical study on centrifugal stiffening effect for large rotating wind turbine blade based on NREL 5 MW and WindPACT 1.5 MW models," Renewable Energy, Elsevier, vol. 183(C), pages 321-329.
    • Handle: RePEc:eee:renene:v:183:y:2022:i:c:p:321-329
    DOI: 10.1016/j.renene.2021.11.006
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    References listed on IDEAS

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    1. Wang, Yize & Liu, Zhenqing, 2025. "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control," Energy, Elsevier, vol. 326(C).

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