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The Influence of Eroded Blades on Wind Turbine Performance Using Numerical Simulations

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  • Matthias Schramm

    (Fraunhofer Institute for Wind Energy and Energy System Technology, Küpkersweg 70, Oldenburg 26129, Germany
    ForWind, University of Oldenburg, Ammerländer Heerstr. 114-118, Oldenburg 26129, Germany)

  • Hamid Rahimi

    (Fraunhofer Institute for Wind Energy and Energy System Technology, Küpkersweg 70, Oldenburg 26129, Germany
    ForWind, University of Oldenburg, Ammerländer Heerstr. 114-118, Oldenburg 26129, Germany)

  • Bernhard Stoevesandt

    (Fraunhofer Institute for Wind Energy and Energy System Technology, Küpkersweg 70, Oldenburg 26129, Germany)

  • Kim Tangager

    (Blade Repair Solutions, Hedevej 25, Hadsund 9560, Denmark)

Abstract

During their operation, wind turbine blades are eroded due to rain and hail, or they are contaminated with insects. Since the relative inflow velocity is higher at the outer than at the inner part of the blades, erosion occurs mostly at the outer blade region. In order to prevent strong erosion, it is possible to install a leading edge protection, which can be applied to the blades after the initial installation, but changes the shape of the initial airfoil sections. It is unclear how this modification influences the aerodynamic performance of the turbine. Hence, it is investigated in this work. The NREL 5 MW turbine is simulated with clean and eroded blades, which are compared to coated blades equipped with leading edge protection. Aerodynamic polars are generated by means of Computational Fluid Dynamics, and load calculations are conducted using the blade element momentum theory. The analysis in this work shows that, compared to clean rotor blades, the worse aerodynamic behaviour of strongly eroded blades can lead to power losses of 9 % . In contrast, coated blades only have a small impact on the turbine power of less than 1 % .

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1420-:d:112199
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Jung-Bo Sim & Se-Jin Yook & Young Won Kim, 2023. "Development of 180 kW Organic Rankine Cycle (ORC) with a High-Efficiency Two-Stage Axial Turbine," Energies, MDPI, vol. 16(20), pages 1-20, October.
    3. 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.
    4. 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.
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    6. Aitor Saenz-Aguirre & Unai Fernandez-Gamiz & Ekaitz Zulueta & Alain Ulazia & Jon Martinez-Rico, 2019. "Optimal Wind Turbine Operation by Artificial Neural Network-Based Active Gurney Flap Flow Control," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    7. Dimitris Al. Katsaprakakis & Nikos Papadakis & Ioannis Ntintakis, 2021. "A Comprehensive Analysis of Wind Turbine Blade Damage," Energies, MDPI, vol. 14(18), pages 1-31, September.
    8. 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).
    9. Mikkel Schou Nielsen & Ivan Nikolov & Emil Krog Kruse & Jørgen Garnæs & Claus Brøndgaard Madsen, 2020. "High-Resolution Structure-from-Motion for Quantitative Measurement of Leading-Edge Roughness," Energies, MDPI, vol. 13(15), pages 1-17, July.
    10. Francesco Papi & Lorenzo Cappugi & Simone Salvadori & Mauro Carnevale & Alessandro Bianchini, 2020. "Uncertainty Quantification of the Effects of Blade Damage on the Actual Energy Production of Modern Wind Turbines," Energies, MDPI, vol. 13(15), pages 1-18, July.
    11. Giani, Paolo & Tagle, Felipe & Genton, Marc G. & Castruccio, Stefano & Crippa, Paola, 2020. "Closing the gap between wind energy targets and implementation for emerging countries," Applied Energy, Elsevier, vol. 269(C).
    12. 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.
    13. 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.
    14. 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.
    15. Andrés Meana-Fernández & Jesús Manuel Fernández Oro & Katia María Argüelles Díaz & Sandra Velarde-Suárez, 2019. "Turbulence-Model Comparison for Aerodynamic-Performance Prediction of a Typical Vertical-Axis Wind-Turbine Airfoil," Energies, MDPI, vol. 12(3), pages 1-16, February.
    16. Gregory Duthé & Imad Abdallah & Sarah Barber & Eleni Chatzi, 2021. "Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades," Energies, MDPI, vol. 14(21), pages 1-33, November.
    17. 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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