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Issues concerning roughness on wind turbine blades

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  • Sagol, Ece
  • Reggio, Marcelo
  • Ilinca, Adrian

Abstract

This paper reviews the effects of surface roughness, accreted on wind turbine blades, on the flow field and power generation. Contamination agents, like dust, dirt, ice, and even insects accumulate on the blades and generate roughness to varying degrees. These roughness elements, depending on their size, location, and density, may disturb the flow field and reduce the power produced by the machine. A review of papers addressing similar flow patterns is provided, along with an analysis of the ability of numerical algorithms to correctly predict the power performance and the flow characteristics in the presence of surface irregularities. Finally, solutions are given to mitigate the effects of roughness on power production.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:23:y:2013:i:c:p:514-525
    DOI: 10.1016/j.rser.2013.02.034
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    References listed on IDEAS

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    1. Gustave P. Corten & Herman F. Veldkamp, 2001. "Insects can halve wind-turbine power," Nature, Nature, vol. 412(6842), pages 41-42, July.
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    Cited by:

    1. Pugh, K. & Nash, J.W. & Reaburn, G. & Stack, M.M., 2021. "On analytical tools for assessing the raindrop erosion of wind turbine blades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    2. Hcini, Cherif & Abidi, Essia & Kamoun, Badreddine & Afungchui, David, 2016. "Numerical prediction for the aerodynamic performance of Turbosail type wind turbine using a vortex model," Energy, Elsevier, vol. 109(C), pages 287-293.
    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. Yang, Muchen & Xiao, Zhixiang, 2019. "Distributed roughness induced transition on wind-turbine airfoils simulated by four-equation k-ω-γ-Ar transition model," Renewable Energy, Elsevier, vol. 135(C), pages 1166-1177.
    5. 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.
    6. Dollinger, Christoph & Balaresque, Nicholas & Gaudern, Nicholas & Gleichauf, Daniel & Sorg, Michael & Fischer, Andreas, 2019. "IR thermographic flow visualization for the quantification of boundary layer flow disturbances due to the leading edge condition," Renewable Energy, Elsevier, vol. 138(C), pages 709-721.
    7. de Oliveira Nogueira, Tiago & Palacio, Gilderlânio Barbosa Alves & Braga, Fabrício Damasceno & Maia, Pedro Paulo Nunes & de Moura, Elineudo Pinho & de Andrade, Carla Freitas & Rocha, Paulo Alexandre C, 2022. "Imbalance classification in a scaled-down wind turbine using radial basis function kernel and support vector machines," Energy, Elsevier, vol. 238(PC).
    8. 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).
    9. 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).
    10. Al-Yahyai, Sultan & Charabi, Yassine, 2015. "Assessment of large-scale wind energy potential in the emerging city of Duqm (Oman)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 438-447.
    11. Melo Junior, Francisco Erivan de Abreu & de Moura, Elineudo Pinho & Costa Rocha, Paulo Alexandre & de Andrade, Carla Freitas, 2019. "Unbalance evaluation of a scaled wind turbine under different rotational regimes via detrended fluctuation analysis of vibration signals combined with pattern recognition techniques," Energy, Elsevier, vol. 171(C), pages 556-565.
    12. Fakorede, Oloufemi & Feger, Zoé & Ibrahim, Hussein & Ilinca, Adrian & Perron, Jean & Masson, Christian, 2016. "Ice protection systems for wind turbines in cold climate: characteristics, comparisons and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 662-675.
    13. 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.
    14. Chehouri, Adam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Review of performance optimization techniques applied to wind turbines," Applied Energy, Elsevier, vol. 142(C), pages 361-388.
    15. Mohammad Hassan Khanjanpour & Akbar A. Javadi, 2020. "Experimental and CFD Analysis of Impact of Surface Roughness on Hydrodynamic Performance of a Darrieus Hydro (DH) Turbine," Energies, MDPI, vol. 13(4), pages 1-18, February.
    16. Ge, Mingwei & Sun, Haitao & Meng, Hang & Li, Xintao, 2024. "An improved B-L model for dynamic stall prediction of rough-surface airfoils," Renewable Energy, Elsevier, vol. 226(C).

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