Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis

Taking a wind farm in the Qinghai–Tibet Plateau as the experimental site, the ZephiR Dual Mode (ZDM) LiDAR and ground-based laser LiDAR were used to scan the incoming flow and wake of the wind turbine separately. Based on wavelet analysis, the experimental study was conducted on the influence of dif...

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Main Authors: Hongtao Niu, Congxin Yang, Yin Wang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/16/6003
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author Hongtao Niu
Congxin Yang
Yin Wang
author_facet Hongtao Niu
Congxin Yang
Yin Wang
author_sort Hongtao Niu
collection DOAJ
description Taking a wind farm in the Qinghai–Tibet Plateau as the experimental site, the ZephiR Dual Mode (ZDM) LiDAR and ground-based laser LiDAR were used to scan the incoming flow and wake of the wind turbine separately. Based on wavelet analysis, the experimental study was conducted on the influence of different incoming wind speeds on the power and wake of the wind turbine. It is found that the incoming wind speeds have a great influence on the wind turbine power, and the fluctuation frequency of the wind speed is obviously higher than that of the power, that is, the scale effects of turbulence are magnified. The rotation of the wind wheel can accelerate the collapse of the large-scale turbulent structures of the incoming flow, and large-scale vortices continue to collapse into small-scale vortices, that is, the energy cascade evolution occurs. And in the wake diffusion process, the dissipation degree of the upper blade tip vortex is greater than that of the lower blade tip vortex caused by the rotation of the wind turbine. Under the same incoming flow conditions, due to the influence of tower and ground turbulence structure, the energy level connection phenomenon of the measuring points below the hub height is stronger than that above the hub height, and it weakens with the increase of the measuring distance. That is, the energy cascade of the measuring points below the hub height at 1.5 D (D is the diameter of the wind wheel) of the wake is weaker than that at 1 D of the wake. With the increase of the measuring distance of the wake, the influx of the external flow field further aggravates the momentum exchange and energy transport between the vortex clusters, that is, the influence of the external flow field gradually increases in the wake vortex pulsation.
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spelling doaj.art-f293eee3293149b69eae4e9f8b17a8ec2023-11-19T00:57:22ZengMDPI AGEnergies1996-10732023-08-011616600310.3390/en16166003Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet AnalysisHongtao Niu0Congxin Yang1Yin Wang2School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaSchool of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaWind Power Division, Zhuzhou Electric Locomotive Research Institute Co., Zhuzhou 412000, ChinaTaking a wind farm in the Qinghai–Tibet Plateau as the experimental site, the ZephiR Dual Mode (ZDM) LiDAR and ground-based laser LiDAR were used to scan the incoming flow and wake of the wind turbine separately. Based on wavelet analysis, the experimental study was conducted on the influence of different incoming wind speeds on the power and wake of the wind turbine. It is found that the incoming wind speeds have a great influence on the wind turbine power, and the fluctuation frequency of the wind speed is obviously higher than that of the power, that is, the scale effects of turbulence are magnified. The rotation of the wind wheel can accelerate the collapse of the large-scale turbulent structures of the incoming flow, and large-scale vortices continue to collapse into small-scale vortices, that is, the energy cascade evolution occurs. And in the wake diffusion process, the dissipation degree of the upper blade tip vortex is greater than that of the lower blade tip vortex caused by the rotation of the wind turbine. Under the same incoming flow conditions, due to the influence of tower and ground turbulence structure, the energy level connection phenomenon of the measuring points below the hub height is stronger than that above the hub height, and it weakens with the increase of the measuring distance. That is, the energy cascade of the measuring points below the hub height at 1.5 D (D is the diameter of the wind wheel) of the wake is weaker than that at 1 D of the wake. With the increase of the measuring distance of the wake, the influx of the external flow field further aggravates the momentum exchange and energy transport between the vortex clusters, that is, the influence of the external flow field gradually increases in the wake vortex pulsation.https://www.mdpi.com/1996-1073/16/16/6003Qinghai–Tibet Plateauwind turbinewavelet analysisLiDARexperimental measurement
spellingShingle Hongtao Niu
Congxin Yang
Yin Wang
Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis
Energies
Qinghai–Tibet Plateau
wind turbine
wavelet analysis
LiDAR
experimental measurement
title Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis
title_full Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis
title_fullStr Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis
title_full_unstemmed Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis
title_short Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis
title_sort experimental study on the influence of incoming flow on wind turbine power and wake based on wavelet analysis
topic Qinghai–Tibet Plateau
wind turbine
wavelet analysis
LiDAR
experimental measurement
url https://www.mdpi.com/1996-1073/16/16/6003
work_keys_str_mv AT hongtaoniu experimentalstudyontheinfluenceofincomingflowonwindturbinepowerandwakebasedonwaveletanalysis
AT congxinyang experimentalstudyontheinfluenceofincomingflowonwindturbinepowerandwakebasedonwaveletanalysis
AT yinwang experimentalstudyontheinfluenceofincomingflowonwindturbinepowerandwakebasedonwaveletanalysis