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Impact of uncertainty in airfoil characteristics on wind turbine extreme loads

Author

Listed:
  • Abdallah, I.
  • Natarajan, A.
  • Sørensen, J.D.

Abstract

Wind tunnel test measurements to characterize the static lift and drag coefficients of airfoils used in wind turbine blades are shown to possess large uncertainties, which leads to uncertainties in the aerodynamic loads on the rotor. In this paper a rational stochastic model is proposed to quantify the uncertainty in airfoil static lift and drag coefficients based on field and wind tunnel data, aero-servo-elastic calculations and engineering judgment. The stochastic model is subsequently used to assess the effect of the uncertainty in airfoil static lift and drag coefficients on the prediction of extreme loads and structural reliability of large wind turbines. It is shown that the uncertainty in the static airfoil data has a significant impact on the prediction of extreme loads effects and structural reliability depending on the component, operating conditions (stand-still versus power production) and the correlations of aerodynamic variables along the span of the blades.

Suggested Citation

  • Abdallah, I. & Natarajan, A. & Sørensen, J.D., 2015. "Impact of uncertainty in airfoil characteristics on wind turbine extreme loads," Renewable Energy, Elsevier, vol. 75(C), pages 283-300.
    • Handle: RePEc:eee:renene:v:75:y:2015:i:c:p:283-300
    DOI: 10.1016/j.renene.2014.10.009
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    Citations

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    Cited by:

    1. Toft, Henrik Stensgaard & Svenningsen, Lasse & Sørensen, John Dalsgaard & Moser, Wolfgang & Thøgersen, Morten Lybech, 2016. "Uncertainty in wind climate parameters and their influence on wind turbine fatigue loads," Renewable Energy, Elsevier, vol. 90(C), pages 352-361.
    2. Zhiyu Jiang & Weifei Hu & Wenbin Dong & Zhen Gao & Zhengru Ren, 2017. "Structural Reliability Analysis of Wind Turbines: A Review," Energies, MDPI, vol. 10(12), pages 1-25, December.
    3. Gregory Duthé & Imad Abdallah & Sarah Barber & Eleni Chatzi, 2021. "Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades," Energies, MDPI, vol. 14(21), pages 1-33, November.
    4. Abdul Ghani Olabi & Tabbi Wilberforce & Khaled Elsaid & Enas Taha Sayed & Tareq Salameh & Mohammad Ali Abdelkareem & Ahmad Baroutaji, 2021. "A Review on Failure Modes of Wind Turbine Components," Energies, MDPI, vol. 14(17), pages 1-44, August.
    5. Salehi, Saeed & Nilsson, Håkan, 2022. "Effects of uncertainties in positioning of PIV plane on validation of CFD results of a high-head Francis turbine model," Renewable Energy, Elsevier, vol. 193(C), pages 57-75.
    6. Li, Xingxing & Yang, Ke & Bai, Jingyan & Xu, Jianzhong, 2016. "A new optimization approach to improve the overall performance of thick wind turbine airfoils," Energy, Elsevier, vol. 116(P1), pages 202-213.
    7. Shao, Yizhe & Liu, Jie, 2024. "Uncertainty quantification for dynamic responses of offshore wind turbine based on manifold learning," Renewable Energy, Elsevier, vol. 222(C).
    8. Tang, Xinzi & Yuan, Keren & Gu, Nengwei & Li, Pengcheng & Peng, Ruitao, 2022. "An interval quantification-based optimization approach for wind turbine airfoil under uncertainties," Energy, Elsevier, vol. 244(PA).

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