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Wind tunnel test of ice accretion on blade airfoil for wind turbine under offshore atmospheric condition

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  • Mu, Zhongqiu
  • Guo, Wenfeng
  • Li, Yan
  • Tagawa, Kotaro

Abstract

For wind turbines under offshore conditions, ice accretion occurs on the blade surface in winter because of the cold and humid environment, which leads to the performance degradation of the wind turbine. The characteristics of icing on the wind turbine blade surface under the in-cloud condition with salinity are explored. A blade segment with an airfoil of NACA0018 is selected. The tests of icing on the blade surface in different conditions of salinities, temperatures, and wind speeds are conducted in a return-flow icing wind tunnel. Two parameters are defined to evaluate icing characteristics. The distribution and amount of ice are analyzed quantitatively. Results show that salinity can restrain the amount of ice accretion. Oppositely, low temperatures and high wind speeds can increase the amount of ice. A self-developed device was manufactured to measure the adhesion strength of ice. The effects of salinity, temperature, and wind speed on adhesion strength are studied. Research indicates that adhesion strength decreases sharply first and then slowly with an increase in salinity. Even though low temperature and high wind speed both increase the adhesion strength, the growth rate decreases. The research provides a reference for anti- and de-icing technologies of offshore wind turbines.

Suggested Citation

  • Mu, Zhongqiu & Guo, Wenfeng & Li, Yan & Tagawa, Kotaro, 2023. "Wind tunnel test of ice accretion on blade airfoil for wind turbine under offshore atmospheric condition," Renewable Energy, Elsevier, vol. 209(C), pages 42-52.
    • Handle: RePEc:eee:renene:v:209:y:2023:i:c:p:42-52
    DOI: 10.1016/j.renene.2023.03.126
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    References listed on IDEAS

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    1. Tao, Tao & Liu, Yongqian & Qiao, Yanhui & Gao, Linyue & Lu, Jiaoyang & Zhang, Ce & Wang, Yu, 2021. "Wind turbine blade icing diagnosis using hybrid features and Stacked-XGBoost algorithm," Renewable Energy, Elsevier, vol. 180(C), pages 1004-1013.
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    3. Guo, Peng & Infield, David, 2021. "Wind turbine blade icing detection with multi-model collaborative monitoring method," Renewable Energy, Elsevier, vol. 179(C), pages 1098-1105.
    4. Tong, Guoqiang & Li, Yan & Tagawa, Kotaro & Feng, Fang, 2023. "Effects of blade airfoil chord length and rotor diameter on aerodynamic performance of straight-bladed vertical axis wind turbines by numerical simulation," Energy, Elsevier, vol. 265(C).
    5. Guo, Wenfeng & Shen, He & Li, Yan & Feng, Fang & Tagawa, Kotaro, 2021. "Wind tunnel tests of the rime icing characteristics of a straight-bladed vertical axis wind turbine," Renewable Energy, Elsevier, vol. 179(C), pages 116-132.
    6. Sun, Haoyang & Lin, Guiping & Jin, Haichuan & Bu, Xueqin & Cai, Chujiang & Jia, Qi & Ma, Kuiyuan & Wen, Dongsheng, 2021. "Experimental investigation of surface wettability induced anti-icing characteristics in an ice wind tunnel," Renewable Energy, Elsevier, vol. 179(C), pages 1179-1190.
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    Cited by:

    1. Zhijin Zhang & Hang Zhang & Xu Zhang & Qin Hu & Xingliang Jiang, 2024. "A Review of Wind Turbine Icing and Anti/De-Icing Technologies," Energies, MDPI, vol. 17(12), pages 1-34, June.
    2. Jargalsaikhan, Nyam & Ueda, Soichiro & Masahiro, Furukakoi & Matayoshi, Hidehito & Mikhaylov, Alexey & Byambaa, Sergelen & Senjyu, Tomonobu, 2024. "Exploring influence of air density deviation on power production of wind energy conversion system: Study on correction method," Renewable Energy, Elsevier, vol. 220(C).

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