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Damage accumulation model of ice detach behavior in ultrasonic de-icing technology

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  • Wang, Yibing
  • Xu, Yuanming
  • Su, Fei

Abstract

Wind turbines that operate under cold climates sustain icing events. Ice accretion on the surfaces of wind turbine blades not only constitutes a severe threat to operation safety, but also reduces wind energy output. As a novel mechanical de-icing method, the ultrasonic de-icing technique has attracted high attention in both wind energy and aviation industry, due to its low energy consumption, light weight and low cost. According to the ultrasonic de-icing mechanism, a damage accumulation model was proposed to describe the ice detachment behavior under ultrasonic wave. This model that was constructed with damage mechanics provided an assessment method for the ultrasonic de-icing effect and predicted the time consumption of ice layer detachment. This method was numerically simulated with the finite element method. In addition, a set of experimental apparatus for ultrasonic de-icing method was designed. Following, a confirmatory experiment was carried out in laboratory environment. The parameters of the damage accumulation model were determined by the experimental data. The ice detachment behavior in the experiment was consistent with the prediction assessment proposed in this paper.

Suggested Citation

  • Wang, Yibing & Xu, Yuanming & Su, Fei, 2020. "Damage accumulation model of ice detach behavior in ultrasonic de-icing technology," Renewable Energy, Elsevier, vol. 153(C), pages 1396-1405.
    • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:1396-1405
    DOI: 10.1016/j.renene.2020.02.069
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    References listed on IDEAS

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    1. 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.
    2. Kraj, Andrea G. & Bibeau, Eric L., 2010. "Phases of icing on wind turbine blades characterized by ice accumulation," Renewable Energy, Elsevier, vol. 35(5), pages 966-972.
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    4. 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.
    5. 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.
    6. Wang, Zhenjun & Xu, Yuanming & Su, Fei & Wang, Yibing, 2016. "A light lithium niobate transducer for the ultrasonic de-icing of wind turbine blades," Renewable Energy, Elsevier, vol. 99(C), pages 1299-1305.
    7. Habibi, Hossein & Cheng, Liang & Zheng, Haitao & Kappatos, Vassilios & Selcuk, Cem & Gan, Tat-Hean, 2015. "A dual de-icing system for wind turbine blades combining high-power ultrasonic guided waves and low-frequency forced vibrations," Renewable Energy, Elsevier, vol. 83(C), pages 859-870.
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    Cited by:

    1. Yan Li & He Shen & Wenfeng Guo, 2021. "Simulation and Experimental Study on the Ultrasonic Micro-Vibration De-Icing Method for Wind Turbine Blades," Energies, MDPI, vol. 14(24), pages 1-15, December.

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