IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v218y2023ics0960148123011710.html
   My bibliography  Save this article

Assessing the progression of wind turbine energy yield losses due to blade erosion by resolving damage geometries from lab tests and field observations

Author

Listed:
  • Castorrini, Alessio
  • Ortolani, Andrea
  • Campobasso, M. Sergio

Abstract

Predicting losses of wind turbine energy yield due to blade leading edge erosion is a major challenge, hindering blade predictive maintenance, and preventing further cost of energy reductions. Using jointly laser scans of operational offshore turbines, photographs of eroded leading edge samples from swirling arm rain erosion tests and validated simulation methods, this study estimates the growth of energy yield losses as erosion progresses from small-scale distributed roughness to severe damage of the leading edge. A multi-fidelity analysis is employed, combining high-fidelity computational fluid dynamics and blade element momentum theory. Erosion-induced aerodynamic performance losses are analyzed with a scale separation approach, modeling the effects of low-amplitude roughness with generalized rough-wall functions, and capturing the effects of larger geometry alterations by geometrically resolving them. The sensitivity of energy losses to the level of equivalent sand grain roughness, an uncertain parameter of the problem, is analyzed. For a typical North Sea installation site, the loss of energy grows from 0.6%, for moderate modeled roughness, to 2%, for resolved severe erosion. The largest loss at a typical Southern European onshore site is 2.5%. Severe erosion-induced energy losses are found to vary significantly with the damage topography, emphasizing the necessity or resolving larger erosion scales.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:renene:v:218:y:2023:i:c:s0960148123011710
    DOI: 10.1016/j.renene.2023.119256
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123011710
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2023.119256?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Y. & Hajj, M. & Bao, Y., 2022. "Review of robot-based damage assessment for offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. ASM Shihavuddin & Xiao Chen & Vladimir Fedorov & Anders Nymark Christensen & Nicolai Andre Brogaard Riis & Kim Branner & Anders Bjorholm Dahl & Rasmus Reinhold Paulsen, 2019. "Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis," Energies, MDPI, vol. 12(4), pages 1-15, February.
    3. 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.
    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. Gharali, Kobra & Johnson, David A., 2012. "Numerical modeling of an S809 airfoil under dynamic stall, erosion and high reduced frequencies," Applied Energy, Elsevier, vol. 93(C), pages 45-52.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. Deshun Li & Ting He & Qing Wang, 2023. "Experimental Research on the Effect of Particle Parameters on Dynamic Stall Characteristics of the Wind Turbine Airfoil," Energies, MDPI, vol. 16(4), pages 1-15, February.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Wekesa, David Wafula & Wang, Cong & Wei, Yingjie & Danao, Louis Angelo M., 2017. "Analytical and numerical investigation of unsteady wind for enhanced energy capture in a fluctuating free-stream," Energy, Elsevier, vol. 121(C), pages 854-864.
    16. Tariq Ullah & Krzysztof Sobczak & Grzegorz Liśkiewicz & Amjid Khan, 2022. "Two-Dimensional URANS Numerical Investigation of Critical Parameters on a Pitch Oscillating VAWT Airfoil under Dynamic Stall," Energies, MDPI, vol. 15(15), pages 1-19, August.
    17. 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.
    18. 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.
    19. Huang, Haoda & Liu, Qingsong & Yue, Minnan & Miao, Weipao & Wang, Peilin & Li, Chun, 2023. "Fully coupled aero-hydrodynamic analysis of a biomimetic fractal semi-submersible floating offshore wind turbine under wind-wave excitation conditions," Renewable Energy, Elsevier, vol. 203(C), pages 280-300.
    20. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:218:y:2023:i:c:s0960148123011710. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.