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Prediction of ice accretion and anti-icing heating power on wind turbine blades using standard commercial software

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  • Villalpando, Fernando
  • Reggio, Marcelo
  • Ilinca, Adrian

Abstract

An approach to numerically simulate ice accretion on 2D sections of a wind turbine blade is presented. The method uses standard commercial ANSYS-Fluent and Matlab tools. The Euler-Euler formulation is used to calculate the water impingement on the airfoil, and a UDF (Used Defined Function) has been devised to turn the airfoil's solid wall into a permeable boundary. Mayer's thermodynamic model is implemented in Matlab for computing ice thickness and for updating the airfoil contour. A journal file is executed to systematize the procedure: meshing, droplet trajectory calculation, thermodynamic model application for computing ice accretion, and the updating of airfoil contours. The proposed ice prediction strategy has been validated using iced airfoil contours obtained experimentally in the AMIL refrigerated wind tunnel (Anti-icing Materials International Laboratory). Finally, a numerical prediction method has been generated for anti-icing assessment, and its results compared with data obtained in this laboratory.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:114:y:2016:i:c:p:1041-1052
    DOI: 10.1016/j.energy.2016.08.047
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    Citations

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    Cited by:

    1. Wu, Zhenlong, 2019. "Rotor power performance and flow physics in lateral sinusoidal gusts," Energy, Elsevier, vol. 176(C), pages 917-928.
    2. 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.
    3. Wang, Haipeng & Zhang, Bo & Qiu, Qinggang & Xu, Xiang, 2017. "Flow control on the NREL S809 wind turbine airfoil using vortex generators," Energy, Elsevier, vol. 118(C), pages 1210-1221.
    4. Chen, Wanqiu & Qiu, Yingning & Feng, Yanhui & Li, Ye & Kusiak, Andrew, 2021. "Diagnosis of wind turbine faults with transfer learning algorithms," Renewable Energy, Elsevier, vol. 163(C), pages 2053-2067.
    5. Sun, Wen & Wei, Yutong & Feng, Yanhui & Chu, Fuqiang, 2024. "Anti-icing and deicing characteristics of photothermal superhydrophobic surfaces based on metal nanoparticles and carbon nanotube materials," Energy, Elsevier, vol. 286(C).
    6. Maddi Aizpurua-Etxezarreta & Sheila Carreno-Madinabeitia & Alain Ulazia & Jon Sáenz & Aitor Saenz-Aguirre, 2022. "Long-Term Freezing Temperatures Frequency Change Effect on Wind Energy Gain (Eurasia and North America, 1950–2019)," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    7. 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).
    8. 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).
    9. Fahed Martini & Hussein Ibrahim & Leidy Tatiana Contreras Montoya & Patrick Rizk & Adrian Ilinca, 2022. "Turbulence Modeling of Iced Wind Turbine Airfoils," Energies, MDPI, vol. 15(22), pages 1-20, November.
    10. Fahed Martini & Adrian Ilinca & Patrick Rizk & Hussein Ibrahim & Mohamad Issa, 2022. "A Survey of the Quasi-3D Modeling of Wind Turbine Icing," Energies, MDPI, vol. 15(23), pages 1-32, November.
    11. Rongjia Li & Guangya Zhu & Dalin Zhang, 2020. "Investigation on the Mechanism of Heat Load Reduction for the Thermal Anti-Icing System," Energies, MDPI, vol. 13(22), pages 1-19, November.
    12. Cheng Tao & Tao Tao & Xinjian Bai & Yongqian Liu, 2023. "Wind Turbine Blade Icing Prediction Using Focal Loss Function and CNN-Attention-GRU Algorithm," Energies, MDPI, vol. 16(15), pages 1-15, July.
    13. Wu, Zhenlong & Bangga, Galih & Cao, Yihua, 2019. "Effects of lateral wind gusts on vertical axis wind turbines," Energy, Elsevier, vol. 167(C), pages 1212-1223.
    14. 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.

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