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Effects of ambient temperature and wind speed on icing characteristics and anti-icing energy demand of a blade airfoil for wind turbine

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  • Xu, Zhi
  • Zhang, Ting
  • Li, Xiaojuan
  • Li, Yan

Abstract

The icing on wind turbines causes liability issues in cold and humid climate regions with extreme climatic conditions. Accordingly, in this study, numerical simulation is employed to investigate the icing characteristics and anti-icing energy demand of a blade airfoil for wind turbines under various icing conditions. The findings indicate that the distribution range of ice accretion at 268 K is broader than that at 253 K. The maximum water film thickness experiences a significant increase at 6–8 m/s, while exhibiting a slight change at 8–14 m/s for an ambient temperature of 268 K. As the wind speed rises (6–14 m/s), the maximum heat flux demanded for anti-icing increases by 2717 W/m2 and 745 W/m2 for 253 K and 268 K, respectively. The heat flux demanded for anti-icing on the positions (0–0.02 m) of the blade airfoil declines sharply, as the latent heat released by solidification elevates the blade surface temperature. The heat flux demanded for anti-icing on the positions (0.06–0.18 m) of the blade airfoil rises at 6–8 m/s and diminishes at 14 m/s due to the change in growth rate of water film caused by airflow. This research contributes to the development of anti-icing method design for wind turbines.

Suggested Citation

  • Xu, Zhi & Zhang, Ting & Li, Xiaojuan & Li, Yan, 2023. "Effects of ambient temperature and wind speed on icing characteristics and anti-icing energy demand of a blade airfoil for wind turbine," Renewable Energy, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:renene:v:217:y:2023:i:c:s0960148123010492
    DOI: 10.1016/j.renene.2023.119135
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    References listed on IDEAS

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    1. Gao, Linyue & Liu, Yang & Zhou, Wenwu & Hu, Hui, 2019. "An experimental study on the aerodynamic performance degradation of a wind turbine blade model induced by ice accretion process," Renewable Energy, Elsevier, vol. 133(C), pages 663-675.
    2. Wang, Qiang & Yi, Xian & Liu, Yu & Ren, Jinghao & Li, Weihao & Wang, Qiao & Lai, Qingren, 2020. "Simulation and analysis of wind turbine ice accretion under yaw condition via an Improved Multi-Shot Icing Computational Model," Renewable Energy, Elsevier, vol. 162(C), pages 1854-1873.
    3. 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.
    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. Zhang, Yuning & Tang, Ningning & Niu, Yuguang & Du, Xiaoze, 2016. "Wind energy rejection in China: Current status, reasons and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 322-344.
    6. 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.
    7. Manatbayev, Rustem & Baizhuma, Zhandos & Bolegenova, Saltanat & Georgiev, Aleksandar, 2021. "Numerical simulations on static Vertical Axis Wind Turbine blade icing," Renewable Energy, Elsevier, vol. 170(C), pages 997-1007.
    8. Kusiak, Andrew & Zhang, Zijun & Verma, Anoop, 2013. "Prediction, operations, and condition monitoring in wind energy," Energy, Elsevier, vol. 60(C), pages 1-12.
    9. Son, Chankyu & Kelly, Mark & Kim, Taeseong, 2021. "Boundary-layer transition model for icing simulations of rotating wind turbine blades," Renewable Energy, Elsevier, vol. 167(C), pages 172-183.
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