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Generation of Surface Maps of Erosion Resistance for Wind Turbine Blades under Rain Flows

Author

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  • Alessio Castorrini

    (School of Engineering, Università della Basilicata, Viale dell’Ateneo Lucano 10, 85100 Potenza, Italy)

  • Paolo Venturini

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

  • Aldo Bonfiglioli

    (School of Engineering, Università della Basilicata, Viale dell’Ateneo Lucano 10, 85100 Potenza, Italy)

Abstract

Rain erosion on wind turbine blades raises considerable interest in wind energy industry and research, and the definition of accurate erosion prediction systems can facilitate a rapid development of solutions for blade protection. We propose here the application of a novel methodology able to integrate a multibody aeroelastic simulation of the whole wind turbine, based on engineering models, with high-fidelity simulations of aerodynamics and particle transport and with semi-empirical models for the prediction of the damage incubation time. This methodology is applied to generate a parametric map of the blade regions potentially affected by erosion in terms of the fatigue life of the coating surface. This map can represent an important reference for the evaluation of the sustainability of maintenance, control and mitigation interventions.

Suggested Citation

  • Alessio Castorrini & Paolo Venturini & Aldo Bonfiglioli, 2022. "Generation of Surface Maps of Erosion Resistance for Wind Turbine Blades under Rain Flows," Energies, MDPI, vol. 15(15), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5593-:d:878122
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    References listed on IDEAS

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    1. Hu, Weifei & Chen, Weiyi & Wang, Xiaobo & Jiang, Zhiyu & Wang, Yeqing & Verma, Amrit Shankar & Teuwen, Julie J.E., 2021. "A computational framework for coating fatigue analysis of wind turbine blades due to rain erosion," Renewable Energy, Elsevier, vol. 170(C), pages 236-250.
    2. Verma, Amrit Shankar & Jiang, Zhiyu & Caboni, Marco & Verhoef, Hans & van der Mijle Meijer, Harald & Castro, Saullo G.P. & Teuwen, Julie J.E., 2021. "A probabilistic rainfall model to estimate the leading-edge lifetime of wind turbine blade coating system," Renewable Energy, Elsevier, vol. 178(C), pages 1435-1455.
    3. Igwemezie, Victor & Mehmanparast, Ali & Kolios, Athanasios, 2019. "Current trend in offshore wind energy sector and material requirements for fatigue resistance improvement in large wind turbine support structures – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 181-196.
    4. 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).
    5. Dalili, N. & Edrisy, A. & Carriveau, R., 2009. "A review of surface engineering issues critical to wind turbine performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 428-438, February.
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    Cited by:

    1. 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.
    2. 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.
    3. Castorrini, Alessio & Barnabei, Valerio F. & Domenech, Luis & Šakalyté, Asta & Sánchez, Fernando & Campobasso, M. Sergio, 2024. "Impact of meteorological data factors and material characterization method on the predictions of leading edge erosion of wind turbine blades," Renewable Energy, Elsevier, vol. 227(C).

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