NDLI: The spectral analysis on PIV testing data in Near wake of the wind turbine

Content Provider	IEEE Xplore Digital Library
Author	Zhiying Gao Jianwen Wang
Copyright Year	2010
Description	Author affiliation: Energy and Power Engineering College, Inner Mongolia University of Technology, Hohhot, China (Zhiying Gao) \|\| Inner Mongolia Autonomous Region's Renewable Energy Key Laboratory, Hohhot, China (Jianwen Wang)
Abstract	The measure on instantaneous velocity field in near wake of horizontal axis wind turbine (HAWT) were carried out using cross correlation particle image velocimetry (PIV) and axis-coder positioning period sampling system at wind tunnel opening. Near wake spectral characteristics were obtained by spectral analysis on PIV testing data at six tip speed ratios. The research result serves as a reference for model updating and numerical simulation of the wind turbine wake. In near wake, the blade passage frequency and its harmonics are the main elements in the axial velocity spectrum, the radial velocity spectrum and the turbulent kinetic energy spectrum. The axial velocity has similar spectral characteristics with the turbulent kinetic energy and has more influence on wake fluctuation than the radial velocity. At rated tip speed ratio, the rotor draws the most energy from wind and has top power coefficient, momentum difference of air pasting the rotor is maximum, so there is the highest fluctuation of the turbulent kinetic energy behind the rotor, at the same time, there is the largest proportion of noise signal in the spectrogram.
Starting Page	5203
Ending Page	5206
File Size	319756
Page Count	4
File Format	PDF
ISBN	9781424477371
e-ISBN	9781424477395
DOI	10.1109/MACE.2010.5535438
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fluctuations Horizontal axis wind turbine Image sampling Spectral analysis Near wake Position measurement Particle measurements Wind turbines Numerical models Kinetic energy Velocity measurement PIV Testing
Content Type	Text
Resource Type	Article

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