CLC number: TK83
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-06-16
Cited: 2
Clicked: 5890
Citations: Bibtex RefMan EndNote GB/T7714
Jian-wen Wang, Ren-yu Yuan, Xue-qing Dong, San-xia Zhang, Yang Song, Zhi-ying Gao, Kun Luo, Kun-zan Qiu, Ming-jiang Ni, Ke-fa Cen. Time resolved particle image velocimetry experimental study of the near wake characteristics of a horizontal axis wind turbine[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A1400332 @article{title="Time resolved particle image velocimetry experimental study of the near wake characteristics of a horizontal axis wind turbine", %0 Journal Article TY - JOUR
Abstract: This manuscript uses PIV system to measure the turbulent characteristics in the near wake region of a horizontal wind turbine. It provides important information that is likely valuable to those designing wind turbines. The authors have revised the manuscript according the reviewer's comments.
基于时间分辨粒子图像测速技术的水平轴风力机近尾迹特性的实验研究创新点:将时间分辨粒子图像测速技术应用于风力机近尾迹测量可以捕捉到较高时间分辨率和高精度的流动信息,进而揭示风力机近尾迹详细的流动机理。 方法:实验在风洞里面进行,利用时间分辨粒子图像测速技术获得风力机瞬时流场(图1~3),通过调节风力机配套电机的负荷输出可以得到不同的运行尖速比。对测量得到的瞬时速度的后处理可以得到瞬时涡量以及湍动能和雷诺应力的时均值。 结论:1.风力机近尾迹区域沿径向可分为速度增益区、速度保持区和速度亏损区,不同尖速比下速度恢复到主流速度的径向位置基本相同;2.在后半个半径长度区域内,径向平均速度沿径向方向有增加的趋势,而在叶尖以上,径向平均速度沿径向减小;3.近尾迹湍动能在径向方向上0.3倍和0.9倍半径高度处会出现峰值,而在0.6倍半径附近位置会出现湍动能最低值;4.在风力机近尾迹,雷诺剪切应力小于雷诺正应力,在叶根附近,轴向雷诺正应力大于径向雷诺正应力以及雷诺剪切应力,而在叶尖处,径向雷诺正应力大于轴向雷诺正应力以及雷诺剪切应力。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Abdelsalam, A.M., Boopathi, K., Gomathinayagam, S., et al., 2014. Experimental and numerical studies on the wake behavior of a horizontal axis wind turbine. Journal of Wind Engineering and Industrial Aerodynamics, 128: 54-65. [2]Angele, K.P., Muhammad-Klingmann, B., 2006. PIV measurements in a weakly separating and reattaching turbulent boundary layer. European Journal of Mechanics-B/Fluids, 25(2):204-222. [3]Breton, S.P., Nilsson, K., Olivares-Espinosa, H., et al., 2014. Study of the influence of imposed turbulence on the asymptotic wake deficit in a very long line of wind turbines. Renewable Energy, 70:153-163. [4]Chen, T.Y., Liou, L.R., 2011. Blockage corrections in wind tunnel tests of small horizontal-axis wind turbines. Experimental Thermal and Fluid Science, 35(3):565-569. [5]Chu, C., Chiang, P.H., 2014. Turbulence effects on the wake flow and power production of a horizontal-axis wind turbine. Journal of Wind Engineering and Industrial Aerodynamics, 124:82-89. [6]Hirahara, H., Hossain, M.Z., Kawahashi, M., et al., 2005. Testing basic performance of a very small wind turbine designed for multi-purposes. Renewable Energy, 30(8):1279-1297. [7]Hu, D.M., Du, Z.H., 2009. Near wake of a model horizontal-axis wind turbine. Journal of Hydrodynamics, Ser. B, 21(2):285-291. [8]Ivanell, S., Sørensen, J.N., Mikkelsen, R., et al., 2009. Analysis of numerically generated wake structures. Wind Energy, 12(1):63-80. [9]Jiang, Z.C., Doi, Y., Zhang, S.Y., 2007. Numerical investigation on the flow and power of small-sized multi-bladed straight Darrieus wind turbine. Journal of Zhejiang University-SCIENCE A, 8(9):1414-1421. [10]Jin, Z., Dong, Q., Yang, Z., 2014. A stereoscopic PIV study of the effect of rime ice on the vortex structures in the wake of a wind turbine. Journal of Wind Engineering and Industrial Aerodynamics, 134:139-148. [11]Lee, H.M., Wu, Y., 2013. An experimental study of stall delay on the blade of a horizontal-axis wind turbine using tomographic particle image velocimetry. Journal of Wind Engineering and Industrial Aerodynamics, 123:56-68. [12]Lignarolo, L.E.M., Ragni, D., Krishnaswami, C., et al., 2014. Experimental analysis of the wake of a horizontal-axis wind-turbine model. Renewable Energy, 70:31-46. [13]Liu, X., Bao, Y., Li, Z., et al., 2010. Analysis of turbulence structure in the stirred tank with a deep hollow blade disc turbine by time-resolved PIV. Chinese Journal of Chemical Engineering, 18(4):588-599. [14]Stafford, J., Walsh, E., Egan, V., 2012. A statistical analysis for time-averaged turbulent and fluctuating flow fields using Particle Image Velocimetry. Flow Measurement and Instrumentation, 26:1-9. [15]Vermeer, L.J., 2001. A review of wind turbine wake research at TU Delft. ASME Wind Energy Symposium, AIAA-2001-00030, p.103-113. [16]Vermeer, L.J., Sørensen, J.N., Crespo, A., 2003. Wind turbine wake aerodynamics. Progress in Aerospace Sciences, 39(6-7):467-510. [17]Whale, J., Anderson, C.G., 1993. An experimental investigation of wind turbine wake using particle image velocimetry. Proceedings of the European Community Wind Energy Conference, Lubeck-Travemunde, Germany, p.457-460. [18]Whale, J., Papadopoulos, K.H., Anderson, C.G., et al., 1996. A study of the near wake structure of a wind turbine comparing measurements from laboratory and full-scale experiments. Solar Energy, 56(6):621-633. [19]Whale, J., Anderson, C.G., Bareiss, R., et al., 2000. An experimental and numerical study of the vortex structure in the wake of a wind turbine. Journal of Wind Engineering and Industrial Aerodynamics, 84(1):1-21. [20]Yang, Z., Sarkar, P., Hu, H., 2012. Visualization of the tip vortices in a wind turbine wake. Journal of Visualization, 15(1):39-44. [21]Zhang, W., Markfort, C.D., Porté-Agel, F., 2012. Near-wake flow structure downwind of a wind turbine in a turbulent boundary layer. Experiments in Fluids, 52(5):1219-1235. Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn Copyright © 2000 - 2025 Journal of Zhejiang University-SCIENCE |
Open peer comments: Debate/Discuss/Question/Opinion
<1>