前缘结节对风力机气动性能影响的数值研究

柯文亮, 张文武, 卢加兴, 祝宝山

太阳能学报 ›› 2022, Vol. 43 ›› Issue (7) : 334-339.

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (7) : 334-339. DOI: 10.19912/j.0254-0096.tynxb.2020-1181

前缘结节对风力机气动性能影响的数值研究

  • 柯文亮1, 张文武2, 卢加兴1, 祝宝山2
作者信息 +

NUMERICAL STUDY ON INFLUENCE OF LEADING EDGE TUBERCLES ON AERODYNAMIC PERFORMANCE OF WIND TURBINES

  • Ke Wenliang1, Zhang Wenwu2, Lu Jiaxing1, Zhu Baoshan2
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文章历史 +

摘要

基于座头鲸的鱼鳍前缘结节的流动特性,开展前缘结节对改造的Phase Ⅵ仿生风力机叶片性能及流动特性影响的数值研究。结果表明:在设计工况下(V=10 m/s),结节放置在叶片展向81%位置时,叶片根部的回流区域消除,但结节处的旋涡扰动会破坏叶片稳定流动,使叶片性能相对较低。在高风速下(V=15、20、25 m/s),由于前缘结节的结构特征,叶片表面产生旋涡,发生阻塞作用,叶片吸力侧压力减小,叶片正背面压差增大,升力增大,进而使仿生叶片的性能得到提升。

Abstract

Based on the flow characteristics of the leading edge tubercles of the humpback whale flipper, the performance and flow characteristics of a horizontal-axis wind turbine with bionic blades are numerically investigated. The NREL Phase VI wind turbine is chosen as the reference wind turbine for this study. The numerical results show that under design conditions (V=10 m/s), the backflow area can be eliminated when tubercles are placed over 81% of the blade span. However, the bionic blade performance is relatively reduced, which is the result of the vortices disturbance near the tubercles. At high wind speeds (V=15-25 m/s), the bionic blade is characterized by strong vortices, which by its role cause the blocking effect. Meanwhile, the increase of the pressure difference between upper and lower surfaces enhance the lift, thereby improving the aerodynamic performance of the bionic blade.

关键词

风力机 / 流场 / 数值分析 / 前缘结节 / 失速延迟

Key words

wind turbines / flow fields / numerical analysis / leading edge tubercles / stall delayed

引用本文

导出引用
柯文亮, 张文武, 卢加兴, 祝宝山. 前缘结节对风力机气动性能影响的数值研究[J]. 太阳能学报. 2022, 43(7): 334-339 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1181
Ke Wenliang, Zhang Wenwu, Lu Jiaxing, Zhu Baoshan. NUMERICAL STUDY ON INFLUENCE OF LEADING EDGE TUBERCLES ON AERODYNAMIC PERFORMANCE OF WIND TURBINES[J]. Acta Energiae Solaris Sinica. 2022, 43(7): 334-339 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1181
中图分类号: TK83   

参考文献

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基金

国家自然科学基金(51736008; 51679122); 国家重点研发计划(SQ2018YFB060154-02)

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