作者：东雪青1,2, 刘钊1, 汪建文1,2, 章书成1,2
作者单位：1. 内蒙古工业大学能源与动力工程学院, 内蒙古 呼和浩特 010051;
2. 风能太阳能利用技术省部共建教育部重点实验室, 内蒙古 呼和浩特 010051
关键词：高频PIV;尾流;尾迹掺混;输运作用
摘要：
为研究风力机尾迹的流动状态以及掺混规律，在水平轴风力机模型不同尖速比、不同风速的条件下，利用高频PIV系统对风力机下游远至4.5倍风轮直径范围内的尾流数据进行采集。首先对轴向平均速度云图和曲线图进行分析，发现尾迹流场与外部主流区的掺混现象；对比尖速比为4和6，相对半径为0.1R处的平均轴向速度曲线图，发现随着尖速比的增加，尾迹区域的轴向速度恢复的更快，掺混现象更加严重。然后观察径向平均速度云图，发现风轮后方的流体在径向方向的运动规律是外部主流区的流体通过叶尖涡诱导效应区的输运和卷吸作用下持续进入尾迹区域，并与之掺混。最后通过对比不同相对半径处的径向曲线图，得到尾迹流场的状态：先节流降压膨胀，然后压力恢复尾迹收缩；随着外部高压流体的的持续流入，尾迹再次膨胀，直至恢复到来流状态。
Experimental study on the blending flow of wake field of horizontal axis wind turbine
DONG Xueqing1,2, LIU Zhao1, WANG Jianwen1,2, ZHANG Shucheng1,2
1. College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China;
2. Key Laboratory of Wind Energy and Solar Energy Technology Ministry of Education, Hohhot 010051, China
Abstract: The wake data within the range from downstream of wind turbine to 4.5 times of the wind wheel were collected by utilizing the TR-PIV under different wind velocities and tip speed ratio to research the flow regime and the rule of blending on the wake of the wind turbine. Firstly, the phenomenon of blending between the wake field and external mainstream was discovered based on the analysis of cloud chart and curve graph of the average axial velocity, and after comparing the curve graph of the average axial velocity with the tip speed ratios of 4 and 6 and relative radius of 0.1R, it was found that the recovery of the axial velocity in the wake region was faster and the blending was more serious with the increase of the tip speed ratio. Next, by observing the cloud chart of average radial velocity, it is found that the motion of the fluid behind the wind wheel in the radial direction is that through the transport and entrainment of the region of inductive effect of the tip vortex, the fluid of external mainstream continuously comes into wake region and blends with wake field. Finally, by comparing the curve graph of average radial velocity at different relative radius, the result shows that the state of the wake field is:the fluid throttles before the recovery of the pressure and the contraction of wake; with the continuously inflow of external high pressure fluid, the wake re-expands until the recovery of incoming flow state.
Keywords: TR-PIV;wake flow;blending of the wake;effect of transport
2017, 43(9): 24-28 收稿日期: 2016-11-01;收到修改稿日期: 2017-01-15
基金项目: 国家自然科学基金项目（51366010）；风能太阳能利用技术省部共建教育部重点实验室开放基金项目（201504）
作者简介: 东雪青(1972-),男,副教授,博士,主要从事风力机尾迹流场方向的研究。
参考文献
[1] 鲁南. 新能源概论[M]. 北京:中国农业出版社,1995:11-25.
[2] 张希良,汪婧,顾树华. 利用清洁发展机制促进我国风力发电产业的发展[C]//中国太阳能学会学术年会.上海:上海交通大学出版社,2003.
[3] 吕靖峰. 我国风能产业发展及政策研究[D]. 北京:中央民族大学,2013.
[4] 李俊峰,蔡丰波,乔黎明,等. 2015中国风电发展报告[M]. 北京:中国环境科学出版社,2015:120-127.
[5] HERBERT G M J, INIYAN S, SREEVALSAN E, et al. A review of wind energy technologies[J]. Renewable & Sustainable Energy Reviews,2007,11(6):1117-1145.
[6] MAGNUSSON M. Near-wake behaviour of wind turbines[J]. Journal of Wind Engineering and Industrial Aerodynamics,1999,80(1-2):147-167.
[7] 李少华,岳巍澎,匡青峰,等. 双机组风力机尾流互扰及阵列的数值模拟[J]. 中国电机工程学报,2011,31(5):101-107.
[8] MULLER Y A, AUBRUN S, MASSON C. Determination of real-time predictors of the wind turbine wake meandering[J]. Experiments in Fluids,2015,56(3):1-11.
[9] 杨瑞,王小丽,王强,等. 不同布置方案风力机尾流及相互作用的实验研究[J]. 西华大学学报(自然科学版),2016, 35(3):80-88.
[10] GONZALEZ J S,PAYAN MB,SANTOS J R. Optimal control of wind turbines for minimizing overall wake effect losses in offshore wind farms[C]//Eurocon,2013:1129-1134.
[11] ADARAMOLA M S, KROGSTAD PÅ. Experimental investigation of wake effects on wind turbine performance[J]. Renewable Energy,2011,36(8):2078-2086.
[12] 胡丹梅,郑筱凯,张建平. 风力机不同排列方式下尾迹数值模拟[J]. 可再生能源,2015,33(5):684-692.
[13] 高填. 水平轴风力机组尾流互扰分析及风场布置研究[D].乌鲁木齐:新疆大学,2013.
