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Physical De-Icing Techniques for Wind Turbine Blades

Author

Listed:
  • Valery Okulov

    (Kutateladze Institute of Thermophysics, SB RAS, 630090 Novosibirsk, Russia)

  • Ivan Kabardin

    (Kutateladze Institute of Thermophysics, SB RAS, 630090 Novosibirsk, Russia)

  • Dmitry Mukhin

    (Kutateladze Institute of Thermophysics, SB RAS, 630090 Novosibirsk, Russia)

  • Konstantin Stepanov

    (Kutateladze Institute of Thermophysics, SB RAS, 630090 Novosibirsk, Russia)

  • Nastasia Okulova

    (Inmold A/S, Savsvinget 4B, DK-2970 Horsholm, Denmark)

Abstract

The review reflects physical solutions for de-icing, one of the main problems that impedes the efficient use of wind turbines for autonomous energy resources in cold regions. This topic is currently very relevant for ensuring the dynamic development of wind energy in the Arctic. The review discusses an effective anti-icing strategy for wind turbine blades, including various passive and active physical de-icing techniques using superhydrophobic coatings, thermal heaters, ultrasonic and vibration devices, operating control to determine the optimal methods and their combinations. After a brief description of the active methods, the energy consumption required for their realization is estimated. Passive methods do not involve extra costs, so the review focuses on the most promising solutions with superhydrophobic coatings. Among them, special attention is paid to plastic coatings with a lithographic method of applying micro and nanostructures. This review is of interest to researchers who develop new effective solutions for protection against icing, in particular, when choosing systems for protecting wind turbines.

Suggested Citation

  • Valery Okulov & Ivan Kabardin & Dmitry Mukhin & Konstantin Stepanov & Nastasia Okulova, 2021. "Physical De-Icing Techniques for Wind Turbine Blades," Energies, MDPI, vol. 14(20), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6750-:d:658160
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    References listed on IDEAS

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    1. Stoyanov, D.B. & Nixon, J.D. & Sarlak, H., 2021. "Analysis of derating and anti-icing strategies for wind turbines in cold climates," Applied Energy, Elsevier, vol. 288(C).
    2. Young Soo Joung & Cullen R. Buie, 2015. "Aerosol generation by raindrop impact on soil," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
    3. Sima Rastayesh & Lijia Long & John Dalsgaard Sørensen & Sebastian Thöns, 2019. "Risk Assessment and Value of Action Analysis for Icing Conditions of Wind Turbines Close to Highways," Energies, MDPI, vol. 12(14), pages 1-15, July.
    4. Wang, Yibing & Xu, Yuanming & Lei, Yuyong, 2018. "An effect assessment and prediction method of ultrasonic de-icing for composite wind turbine blades," Renewable Energy, Elsevier, vol. 118(C), pages 1015-1023.
    5. Konstantin Osintsev & Seregei Aliukov & Alexander Shishkov, 2021. "Improvement Dependability of Offshore Horizontal-Axis Wind Turbines by Applying New Mathematical Methods for Calculation the Excess Speed in Case of Wind Gusts," Energies, MDPI, vol. 14(11), pages 1-22, May.
    6. Yong Liu & Qiran Li & Masoud Farzaneh & B. X. Du, 2020. "Image Characteristic Extraction of Ice-Covered Outdoor Insulator for Monitoring Icing Degree," Energies, MDPI, vol. 13(20), pages 1-12, October.
    7. Hu, Liangquan & Zhu, Xiaocheng & Hu, Chenxing & Chen, Jinge & Du, Zhaohui, 2017. "Wind turbines ice distribution and load response under icing conditions," Renewable Energy, Elsevier, vol. 113(C), pages 608-619.
    8. Wang, Yibing & Xu, Yuanming & Huang, Qi, 2017. "Progress on ultrasonic guided waves de-icing techniques in improving aviation energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 638-645.
    9. Villalpando, Fernando & Reggio, Marcelo & Ilinca, Adrian, 2016. "Prediction of ice accretion and anti-icing heating power on wind turbine blades using standard commercial software," Energy, Elsevier, vol. 114(C), pages 1041-1052.
    10. Erik Janzon & Heiner Körnich & Johan Arnqvist & Anna Rutgersson, 2020. "Single Column Model Simulations of Icing Conditions in Northern Sweden: Sensitivity to Surface Model Land Use Representation," Energies, MDPI, vol. 13(16), pages 1-23, August.
    11. Xiyun Yang & Tianze Ye & Qile Wang & Zhun Tao, 2020. "Diagnosis of Blade Icing Using Multiple Intelligent Algorithms," Energies, MDPI, vol. 13(11), pages 1-15, June.
    12. James C. Bird & Rajeev Dhiman & Hyuk-Min Kwon & Kripa K. Varanasi, 2013. "Reducing the contact time of a bouncing drop," Nature, Nature, vol. 503(7476), pages 385-388, November.
    13. Sudhakar Gantasala & Narges Tabatabaei & Michel Cervantes & Jan-Olov Aidanpää, 2019. "Numerical Investigation of the Aeroelastic Behavior of a Wind Turbine with Iced Blades," Energies, MDPI, vol. 12(12), pages 1-24, June.
    14. Viktor Elistratov & Mikhail Konishchev & Roman Denisov & Inna Bogun & Aki Grönman & Teemu Turunen-Saaresti & Afonso Julian Lugo, 2021. "Study of the Intelligent Control and Modes of the Arctic-Adopted Wind–Diesel Hybrid System," Energies, MDPI, vol. 14(14), pages 1-14, July.
    15. 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.
    16. Madi, Ezieddin & Pope, Kevin & Huang, Weimin & Iqbal, Tariq, 2019. "A review of integrating ice detection and mitigation for wind turbine blades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 269-281.
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    Cited by:

    1. Han Peng & Songyin Li & Linjian Shangguan & Yisa Fan & Hai Zhang, 2023. "Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research," Sustainability, MDPI, vol. 15(10), pages 1-35, May.
    2. Kirill A. Bashmur & Oleg A. Kolenchukov & Vladimir V. Bukhtoyarov & Vadim S. Tynchenko & Sergei O. Kurashkin & Elena V. Tsygankova & Vladislav V. Kukartsev & Roman B. Sergienko, 2022. "Biofuel Technologies and Petroleum Industry: Synergy of Sustainable Development for the Eastern Siberian Arctic," Sustainability, MDPI, vol. 14(20), pages 1-25, October.

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