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A new wind turbine icing computational model based on Free Wake Lifting Line Model and Finite Area Method

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  • Wang, Qiang
  • Xiao, Jingping
  • Zhang, Tingting
  • Yang, Jianjun
  • Shi, Yu

Abstract

Based on the Free Wake Lifting Line (FWL) Model and Finite Area Method (FAM), a new wind turbine icing computational model, named FFICE, is developed in this paper. By utilizing the fast calculation characteristics of the FWL model, the 3D flow field of wind turbine can be computed. According to the results, the 3D icing problem is transformed into different 2D conditions along the span of the blade. Then, the Lagrangian Method is applied to calculate the collection efficiency on the surface of the local airfoil. In order to accurately simulate the ice accretion, the heat and mass transfer process in the water film is solved by the modified FAM numerical computational method. All the modules involved in FFICE model is validated according to the numerical or experimental results. After that, the dynamic characters of the water film during the icing process on NACA 0012 airfoil is analyzed. At last the icing analysis of NREL Phase VI wind turbine is performed and the results are discussed in detail. The FFICE model provides an effective way for wind turbine icing analysis, which could be easily incorporated into the Icing Protection System (IPS) design code.

Suggested Citation

  • Wang, Qiang & Xiao, Jingping & Zhang, Tingting & Yang, Jianjun & Shi, Yu, 2020. "A new wind turbine icing computational model based on Free Wake Lifting Line Model and Finite Area Method," Renewable Energy, Elsevier, vol. 146(C), pages 342-358.
    • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:342-358
    DOI: 10.1016/j.renene.2019.06.109
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    Citations

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    Cited by:

    1. Dong, Xinghui & Gao, Di & Li, Jia & Jincao, Zhang & Zheng, Kai, 2020. "Blades icing identification model of wind turbines based on SCADA data," Renewable Energy, Elsevier, vol. 162(C), pages 575-586.
    2. Sun, Haoyang & Lin, Guiping & Jin, Haichuan & Guo, Jinghui & Ge, Kun & Wang, Jiaqi & He, Xi & Wen, Dongsheng, 2023. "2D Numerical investigation of surface wettability induced liquid water flow on the surface of the NACA0012 airfoil," Renewable Energy, Elsevier, vol. 205(C), pages 326-339.
    3. Wang, Qiang & Yi, Xian & Liu, Yu & Ren, Jinghao & Yang, Jianjun & Chen, Ningli, 2024. "Numerical investigation of dynamic icing of wind turbine blades under wind shear conditions," Renewable Energy, Elsevier, vol. 227(C).
    4. 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.
    5. 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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