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A wind turbine blade leading edge rain erosion computational framework

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  • López, Javier Contreras
  • Kolios, Athanasios
  • Wang, Lin
  • Chiachio, Manuel

Abstract

Blades are one of the most important components, in terms of capital and operational costs, of wind turbines. The experienced acquired by the industry in the latest decades has shown that leading edge erosion is a problem of concern that impacts the reliability of the blade and the power production of the turbine, among others. This study provides a framework to estimate leading edge erosion evolution and energy production degradation throughout time to apply in operation and maintenance decision making. It is based on the generation of synthetic wind and rain data based on observations from the site and ERA5 reanalysis data, whirling arm test data of erosion protection coatings, along with aerodynamic polar curves for clean and eroded airfoils of the blade. Rain erosion is calculated based on impingement, and assumed to be linearly accumulated using the Palmgren–Miner rule. Synthetic wind and rain time series are used to evaluate 25-year erosion degradation and energy production scenarios. A case study using the 5MW NREL’s wind turbine located in the North Sea has been analysed with the proposed framework showing maximum annual energy production losses in the range of 1.6–1.75% and first erosion failure between years 2 and 6.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:203:y:2023:i:c:p:131-141
    DOI: 10.1016/j.renene.2022.12.050
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    References listed on IDEAS

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    1. Hasager, C. & Vejen, F. & Bech, J.I. & Skrzypiński, W.R. & Tilg, A.-M. & Nielsen, M., 2020. "Assessment of the rain and wind climate with focus on wind turbine blade leading edge erosion rate and expected lifetime in Danish Seas," Renewable Energy, Elsevier, vol. 149(C), pages 91-102.
    2. Slot, H.M. & Gelinck, E.R.M. & Rentrop, C. & van der Heide, E., 2015. "Leading edge erosion of coated wind turbine blades: Review of coating life models," Renewable Energy, Elsevier, vol. 80(C), pages 837-848.
    3. 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.
    4. 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.
    5. 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.
    6. Chiachío, Juan & Jalón, María L. & Chiachío, Manuel & Kolios, Athanasios, 2020. "A Markov chains prognostics framework for complex degradation processes," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
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    Cited by:

    1. Abel Arredondo-Galeana & Baran Yeter & Farhad Abad & Stephanie Ordóñez-Sánchez & Saeid Lotfian & Feargal Brennan, 2023. "Material Selection Framework for Lift-Based Wave Energy Converters Using Fuzzy TOPSIS," Energies, MDPI, vol. 16(21), pages 1-26, October.
    2. 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).
    3. Ansari, Quaiyum M. & Sánchez, Fernando & Mishnaevsky, Leon & Young, Trevor M., 2024. "Evaluation of offshore wind turbine blades coating thickness effect on leading edge protection system subject to rain erosion," Renewable Energy, Elsevier, vol. 226(C).
    4. 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).
    5. 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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