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Analysis of leading edge erosion effects on turbulent flow over airfoils

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  • Koodly Ravishankara, Akshay
  • Özdemir, Huseyin
  • van der Weide, Edwin

Abstract

The surface of wind turbine blades are prone to degradation due to exposure to the elements. Rain, hail, insects are among the many causes of turbine blade degradation or erosion. Surface degradation of the wind turbine blades leads to a reduction in the aerodynamic performance, resulting in power losses. The effect of surface degradation is studied by modeling the turbine blade as a rough surface. Surface roughness can be positive (insects or other foreign objects) or negative (erosion, delamination). The individual roughness elements are however very small and it is not always feasible to study the actual degraded surface. Thus various roughness models have been proposed in the literature which eliminate the need to accurately model the degraded surface by representing erosion with a virtual surface and modeling the effect of erosion on the flow quantities near the eroded surface. In this study, the reduction in performance of airfoils due to leading edge roughness is quantified. Different roughness models are investigated and evaluated against theoretical models. Additionally, the effect of roughness on different integral boundary layer quantities like displacement thickness, momentum thickness and skin friction are presented.

Suggested Citation

  • Koodly Ravishankara, Akshay & Özdemir, Huseyin & van der Weide, Edwin, 2021. "Analysis of leading edge erosion effects on turbulent flow over airfoils," Renewable Energy, Elsevier, vol. 172(C), pages 765-779.
    • Handle: RePEc:eee:renene:v:172:y:2021:i:c:p:765-779
    DOI: 10.1016/j.renene.2021.03.021
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    References listed on IDEAS

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    1. Han, Woobeom & Kim, Jonghwa & Kim, Bumsuk, 2018. "Effects of contamination and erosion at the leading edge of blade tip airfoils on the annual energy production of wind turbines," Renewable Energy, Elsevier, vol. 115(C), pages 817-823.
    2. Herring, Robbie & Dyer, Kirsten & Martin, Ffion & Ward, Carwyn, 2019. "The increasing importance of leading edge erosion and a review of existing protection solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
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    Citations

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    Cited by:

    1. López, Javier Contreras & Kolios, Athanasios & Wang, Lin & Chiachio, Manuel, 2023. "A wind turbine blade leading edge rain erosion computational framework," Renewable Energy, Elsevier, vol. 203(C), pages 131-141.
    2. Jeanie A. Aird & Rebecca J. Barthelmie & Sara C. Pryor, 2023. "Automated Quantification of Wind Turbine Blade Leading Edge Erosion from Field Images," Energies, MDPI, vol. 16(6), pages 1-23, March.
    3. Sara C. Pryor & Rebecca J. Barthelmie & Jeremy Cadence & Ebba Dellwik & Charlotte B. Hasager & Stephan T. Kral & Joachim Reuder & Marianne Rodgers & Marijn Veraart, 2022. "Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research," Energies, MDPI, vol. 15(22), pages 1-41, November.
    4. Xiaohang Wang & Zhenbo Tang & Na Yan & Guojun Zhu, 2022. "Effect of Different Types of Erosion on the Aerodynamic Performance of Wind Turbine Airfoils," Sustainability, MDPI, vol. 14(19), pages 1-13, September.
    5. Lopez, Javier Contreras & Kolios, Athanasios & Wang, Lin & Chiachio, Manuel & Dimitrov, Nikolay, 2024. "Reliability-based leading edge erosion maintenance strategy selection framework," Applied Energy, Elsevier, vol. 358(C).
    6. Castorrini, Alessio & Ortolani, Andrea & Campobasso, M. Sergio, 2023. "Assessing the progression of wind turbine energy yield losses due to blade erosion by resolving damage geometries from lab tests and field observations," Renewable Energy, Elsevier, vol. 218(C).

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    Keywords

    Leading edge erosion; Roughness modeling; RANS; SU2;
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