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Simulation and analysis of wind turbine ice accretion under yaw condition via an Improved Multi-Shot Icing Computational Model

Author

Listed:
  • Wang, Qiang
  • Yi, Xian
  • Liu, Yu
  • Ren, Jinghao
  • Li, Weihao
  • Wang, Qiao
  • Lai, Qingren

Abstract

Wind turbine icing under yaw condition is a special phenomenon affecting the operation of wind turbine in cold climate. Under yaw condition, the periodical change of flow field significantly enhances the blade unsteady icing characteristics, which poses a great challenge for icing research. In order to simulate the yaw icing process, an Improved Multi-Shot Icing Computational Model (IMSICM) is proposed, in which an efficient computational strategy is designed according to different time scales. An icing experiment of NACA0012 airfoil is carried out in the Icing Wind Tunnel of CARDC to validate IMSICM. Then, the yaw icing process of NREL Phase VI wind turbine is simulated. The results show that, influenced by yaw condition, the ice horns rotate to the upper side of airfoil due to the reduction of AoA. At the same time, the height of the lower ice horn is enhanced while the angle between the upper and lower ice horns is decreased. The yaw icing features result in different aerodynamic performance of ice accreted airfoils along the blade, which has a close relationship with the flow separation. The IMSICM can be used as an efficient tool to shed light on the complex icing problems of wind turbine.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:1854-1873
    DOI: 10.1016/j.renene.2020.09.107
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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. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    3. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    4. Daniliuk, Vladislav & Xu, Yuanming & Liu, Ruobing & He, Tianpeng & Wang, Xi, 2020. "Ultrasonic de-icing of wind turbine blades: Performance comparison of perspective transducers," Renewable Energy, Elsevier, vol. 145(C), pages 2005-2018.
    5. 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.
    6. Gao, Linyue & Liu, Yang & Ma, Liqun & Hu, Hui, 2019. "A hybrid strategy combining minimized leading-edge electric-heating and superhydro-/ice-phobic surface coating for wind turbine icing mitigation," Renewable Energy, Elsevier, vol. 140(C), pages 943-956.
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    Cited by:

    1. Fan Cai & Yuesong Jiang & Wanqing Song & Kai-Hung Lu & Tongbo Zhu, 2024. "Short-Term Wind Turbine Blade Icing Wind Power Prediction Based on PCA-fLsm," Energies, MDPI, vol. 17(6), pages 1-15, March.
    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. Miguel Moreira & Frederico Rodrigues & Sílvio Cândido & Guilherme Santos & José Páscoa, 2023. "Development of a Background-Oriented Schlieren (BOS) System for Thermal Characterization of Flow Induced by Plasma Actuators," Energies, MDPI, vol. 16(1), pages 1-17, January.
    4. 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.
    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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