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SCIENCE CHINA Technological Sciences, Volume 60 , Issue 4 : 593-601(2017) https://doi.org/10.1007/s11431-016-0558-1

Experimental study of the wake characteristics of a two-blade horizontal axis wind turbine by time-resolved PIV

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  • ReceivedJul 23, 2016
  • AcceptedNov 11, 2016
  • PublishedMar 2, 2017

Abstract

Wind tunnel experiments of the wake characteristics of a two-blade wind turbine, in the downstream region of 0<x/R<10, have been carried out. With the help of the time resolved particle image velocimetry (TRPIV), flow properties such as the vortex structure, average velocity, fluctuations velocities and Reynolds stresses are obtained at different tip speed ratios (TSR). It is found that the wind turbine wake flow can be divided into velocity deficit region, velocity remained region and velocity increased region, with generally higher velocity deficit compared with a three-blade wind turbine wake. Once a blade rotates to the reference 0° plane, the tip vortices generate, shed and move downstream with the intensity gradually decreased. The leapfrogging phenomenon of tip vortices caused by the force interaction of adjacent vortices is found and more apparent in the far wake region. The axial fluctuation velocity is larger than radial fluctuation velocity at the blade root region, and the turbulent kinetic energy shares the similar trend as the axial fluctuation velocity. The axial normalized Reynolds normal stress is much larger than the radial normalized Reynolds normal stress and Reynolds shear stress at the blade root region. As the TSR increases, the radial location where the peak axial normalized Reynolds normal stress uu¯/U2 and axial fluctuation velocity appear descends in the radial direction.


Funded by

Inner Mongolia Autonomous Region Open Major Basic Research Project(20120905)

National Natural Science Foundation of China(51666014)


Acknowledgment

This work was supported by the Inner Mongolia Autonomous Region Open Major Basic Research Project (Grant No. 20120905), and the National Natural Science Foundation of China (Grant No. 51666014).


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