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Leading edge erosion of wind turbine blades: Understanding, prevention and protection

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  • Mishnaevsky, Leon
  • Hasager, Charlotte Bay
  • Bak, Christian
  • Tilg, Anna-Maria
  • Bech, Jakob I.
  • Doagou Rad, Saeed
  • Fæster, Søren

Abstract

Surface erosion of wind turbine blades is one of rather critical problems of the wind energy development. In this overview paper, recent studies in the mechanisms, modelling and possibilities of preventing the surface erosion of wind turbine blades are discussed. Latest research in the area of leading edge erosion (LEE) from different viewpoints, based on meteorology, aerodynamics, materials science, computational mechanics are summarized. Technologies of experimental testing of anti-erosion coatings, effect of leading edge erosion on aerodynamics of wind turbines, roughness and its evolution are discussed, as well as meteorological aspects, parameters and characteristics of precipitation, possibilities of prediction of rain and hail and regional differences. Further, computational models of LEE and directions of the development of anti-erosion coatings are presented.

Suggested Citation

  • Mishnaevsky, Leon & Hasager, Charlotte Bay & Bak, Christian & Tilg, Anna-Maria & Bech, Jakob I. & Doagou Rad, Saeed & Fæster, Søren, 2021. "Leading edge erosion of wind turbine blades: Understanding, prevention and protection," Renewable Energy, Elsevier, vol. 169(C), pages 953-969.
    • Handle: RePEc:eee:renene:v:169:y:2021:i:c:p:953-969
    DOI: 10.1016/j.renene.2021.01.044
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    References listed on IDEAS

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    1. Papi, Francesco & Balduzzi, Francesco & Ferrara, Giovanni & Bianchini, Alessandro, 2021. "Uncertainty quantification on the effects of rain-induced erosion on annual energy production and performance of a Multi-MW wind turbine," Renewable Energy, Elsevier, vol. 165(P1), pages 701-715.
    2. Mishnaevsky, Leon, 2019. "Repair of wind turbine blades: Review of methods and related computational mechanics problems," Renewable Energy, Elsevier, vol. 140(C), pages 828-839.
    3. Sagol, Ece & Reggio, Marcelo & Ilinca, Adrian, 2013. "Issues concerning roughness on wind turbine blades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 514-525.
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    5. 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).
    6. Matthias Schramm & Hamid Rahimi & Bernhard Stoevesandt & Kim Tangager, 2017. "The Influence of Eroded Blades on Wind Turbine Performance Using Numerical Simulations," Energies, MDPI, vol. 10(9), pages 1-15, September.
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    Cited by:

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    2. Charlotte Bay Hasager & Flemming Vejen & Witold Robert Skrzypiński & Anna-Maria Tilg, 2021. "Rain Erosion Load and Its Effect on Leading-Edge Lifetime and Potential of Erosion-Safe Mode at Wind Turbines in the North Sea and Baltic Sea," Energies, MDPI, vol. 14(7), pages 1-24, April.
    3. Verma, Amrit Shankar & Yan, Jiquan & Hu, Weifei & Jiang, Zhiyu & Shi, Wei & Teuwen, Julie J.E., 2023. "A review of impact loads on composite wind turbine blades: Impact threats and classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    4. Sergio Campobasso, M. & Castorrini, Alessio & Ortolani, Andrea & Minisci, Edmondo, 2023. "Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    5. Shrirang M. Pathak & V. Praveen Kumar & Venkataramana Bonu & Leon Mishnaevsky & R. V. Lakshmi & Parthasarathi Bera & Harish C. Barshilia, 2023. "Development of Cellulose-Reinforced Polyurethane Coatings: A Novel Eco-Friendly Approach for Wind Turbine Blade Protection," Energies, MDPI, vol. 16(4), pages 1-17, February.
    6. Hoksbergen, T.H. & Akkerman, R. & Baran, I., 2023. "Rain droplet impact stress analysis for leading edge protection coating systems for wind turbine blades," Renewable Energy, Elsevier, vol. 218(C).
    7. 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.
    8. Sun, Shilin & Wang, Tianyang & Chu, Fulei, 2022. "In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    9. 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.
    10. 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.
    11. 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.
    12. Mishnaevsky, Leon & Tempelis, Antonios & Kuthe, Nikesh & Mahajan, Puneet, 2023. "Recent developments in the protection of wind turbine blades against leading edge erosion: Materials solutions and predictive modelling," Renewable Energy, Elsevier, vol. 215(C).
    13. 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).
    14. Fred Letson & Sara C. Pryor, 2023. "From Hydrometeor Size Distribution Measurements to Projections of Wind Turbine Blade Leading-Edge Erosion," Energies, MDPI, vol. 16(9), pages 1-29, May.
    15. Cinzia Rainone & Danilo De Siero & Luigi Iuspa & Antonio Viviani & Giuseppe Pezzella, 2023. "A Numerical Procedure for Variable-Pitch Law Formulation of Vertical-Axis Wind Turbines," Energies, MDPI, vol. 16(1), pages 1-20, January.
    16. Eleni Douvi & Dimitra Douvi, 2023. "Aerodynamic Characteristics of Wind Turbines Operating under Hazard Environmental Conditions: A Review," Energies, MDPI, vol. 16(22), pages 1-43, November.
    17. Rubel C. Das & Yu-Lin Shen, 2023. "Analysis of Wind Farms under Different Yaw Angles and Wind Speeds," Energies, MDPI, vol. 16(13), pages 1-19, June.
    18. Mukesh Kumar Rathore & Meena Agrawal & Prashant Baredar & Anoop Kumar Shukla & Gaurav Dwivedi & Puneet Verma, 2023. "Fabrication and Performance Analysis of the Aero-Leaf Savonius Wind Turbine Tree," Energies, MDPI, vol. 16(7), pages 1-17, March.
    19. Ali Akbar Firoozi & Farzad Hejazi & Ali Asghar Firoozi, 2024. "Advancing Wind Energy Efficiency: A Systematic Review of Aerodynamic Optimization in Wind Turbine Blade Design," Energies, MDPI, vol. 17(12), pages 1-30, June.
    20. Özkan, Musa & Erkan, Onur, 2022. "Control of a boundary layer over a wind turbine blade using distributed passive roughness," Renewable Energy, Elsevier, vol. 184(C), pages 421-429.
    21. Zengyi Zhang & Zhenru Shu, 2024. "Unmanned Aerial Vehicle (UAV)-Assisted Damage Detection of Wind Turbine Blades: A Review," Energies, MDPI, vol. 17(15), pages 1-31, July.
    22. Bech, Jakob Ilsted & Johansen, Nicolai Frost-Jensen & Madsen, Martin Bonde & Hannesdóttir, Ásta & Hasager, Charlotte Bay, 2022. "Experimental study on the effect of drop size in rain erosion test and on lifetime prediction of wind turbine blades," Renewable Energy, Elsevier, vol. 197(C), pages 776-789.
    23. Wenjie Wang & Yu Xue & Chengkuan He & Yongnian Zhao, 2022. "Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades," Energies, MDPI, vol. 15(15), pages 1-31, August.
    24. Fang, Jianhao & Hu, Weifei & Liu, Zhenyu & Chen, Weiyi & Tan, Jianrong & Jiang, Zhiyu & Verma, Amrit Shankar, 2022. "Wind turbine rotor speed design optimization considering rain erosion based on deep reinforcement learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    25. Lopez, Javier Contreras & Kolios, Athanasios, 2024. "An autonomous decision-making agent for offshore wind turbine blades under leading edge erosion," Renewable Energy, Elsevier, vol. 227(C).

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