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The Sensitivity of 5MW Wind Turbine Blade Sections to the Existence of Damage

Author

Listed:
  • Amna Algolfat

    (Smart Infrastructure and Industry Research Group, Department of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

  • Weizhuo Wang

    (Smart Infrastructure and Industry Research Group, Department of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

  • Alhussein Albarbar

    (Smart Infrastructure and Industry Research Group, Department of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

Abstract

Due to the large size of offshore wind turbine blades (OWTBs) and the corrosive nature of salt water, OWTs need to be safer and more reliable that their onshore counterparts. To ensure blade reliability, an accurate and computationally efficient structural dynamic model is an essential ingredient. If damage occurs to the structure, the intrinsic properties will change, e.g., stiffness reduction. Therefore, the blade’s dynamic characteristics will differ from those of the intact ones. Hence, symptoms of the damage are reflected in the dynamic characteristics that can be extracted from the damaged blade. Thus, damage identification in OWTBs has become a significant research focus. In this study, modal model characteristics were used for developing an effective damage detection method for WTBs. The technique was used to identify the performance of the blade’s sections and discover the warning signs of damage. The method was based on a vibration-based technique. It was adopted by investigating the influence of reduced blade element rigidity and its effect on the other blade elements. A computational structural dynamics model using Rayleigh beam theory was employed to investigate the behaviour of each blade section. The National Renewable Energy Laboratory (NREL) 5MW blade benchmark was used to demonstrate the behaviour of different blade elements. Compared to previous studies in the literature, where only the simple structures were used, the present study offers a more comprehensive method to identify damage and determine the performance of complicated WTB sections. This technique can be implemented to identify the damage’s existence, and for diagnosis and decision support. The element most sensitive to damage was element number 14, which is NACA_64_618.

Suggested Citation

  • Amna Algolfat & Weizhuo Wang & Alhussein Albarbar, 2023. "The Sensitivity of 5MW Wind Turbine Blade Sections to the Existence of Damage," Energies, MDPI, vol. 16(3), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1367-:d:1049138
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    References listed on IDEAS

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    1. Amna Algolfat & Weizhuo Wang & Alhussein Albarbar, 2022. "Study of Centrifugal Stiffening on the Free Vibrations and Dynamic Response of Offshore Wind Turbine Blades," Energies, MDPI, vol. 15(17), pages 1-19, August.
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    Cited by:

    1. Ali Zabihi & Farhood Aghdasi & Chadi Ellouzi & Nand Kishore Singh & Ratneshwar Jha & Chen Shen, 2024. "Non-Contact Wind Turbine Blade Crack Detection Using Laser Doppler Vibrometers," Energies, MDPI, vol. 17(9), pages 1-14, May.

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