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Research on experiment and numerical simulation of ultrasonic de-icing for wind turbine blades

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  • Zeng, Jing
  • Song, Bingliang

Abstract

Recently, wind energy as a kind of renewable energy for replacing fuel energy has been explored by more and more people. However, icing on the blade surfaces of wind turbines is a serious problem in cold regions, which greatly affects the performance of wind turbines. In this paper, numerical simulation and experiment testing of ultrasonic de-icing using sandwich transducers is investigated. Results show that 2 mm thick ice layer on an aluminum alloy plate (approximately of dimensions 200mm×140mm×2mm) can be debonded quickly using two smaller sandwich transducers in less than a minute. In addition, numerical simulation of ultrasonic de-icing technique and ultrasonic de-icing experiment for composite plate are also investigated and carried out respectively. Two experiments all prove that ultrasonic de-icing technique is feasible for the purpose of wind turbine blade de-icing. The authors hope this paper can provide theoretical and experimental support for the further development of an ultrasonic de-icing technique in the field of wind turbine blade de-icing.

Suggested Citation

  • Zeng, Jing & Song, Bingliang, 2017. "Research on experiment and numerical simulation of ultrasonic de-icing for wind turbine blades," Renewable Energy, Elsevier, vol. 113(C), pages 706-712.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:706-712
    DOI: 10.1016/j.renene.2017.06.045
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    References listed on IDEAS

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    1. 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.
    2. 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. Ma, Liqun & Zhang, Zichen & Gao, Linyue & Liu, Yang & Hu, Hui, 2020. "An exploratory study on using Slippery-Liquid-Infused-Porous-Surface (SLIPS) for wind turbine icing mitigation," Renewable Energy, Elsevier, vol. 162(C), pages 2344-2360.
    2. 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.
    3. Jiménez, Alfredo Arcos & García Márquez, Fausto Pedro & Moraleda, Victoria Borja & Gómez Muñoz, Carlos Quiterio, 2019. "Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis," Renewable Energy, Elsevier, vol. 132(C), pages 1034-1048.
    4. Cheng, Xu & Shi, Fan & Liu, Yongping & Liu, Xiufeng & Huang, Lizhen, 2022. "Wind turbine blade icing detection: a federated learning approach," Energy, Elsevier, vol. 254(PC).
    5. Liu, Zhiyuan & Li, Yan & Sun, Yong & Feng, Fang & Tagawa, Kotaro, 2023. "Preparation of biochar-based photothermal superhydrophobic coating based on corn straw biogas residue and blade anti-icing performance by wind tunnel test," Renewable Energy, Elsevier, vol. 210(C), pages 618-626.
    6. Yan Li & Ce Sun & Yu Jiang & Fang Feng, 2019. "Scaling Method of the Rotating Blade of a Wind Turbine for a Rime Ice Wind Tunnel Test," Energies, MDPI, vol. 12(4), pages 1-15, February.

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