Observations and Analysis of Turbulent Wake of Wind Turbine by Coherent Doppler Lidar

Wu, Songhua; Yin, Jian; Li, Rongzhong; Wang, Xitao; Liu, Bingyi; Liu, Jintao

doi:10.1051/epjconf/201611914007

Cited by 3 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This system effectively improved the accuracy of the wind measurement under lidar motions. A ship-borne wind lidar was developed, and a motion compensation algorithm was designed by the Ocean University of China in 2015 [23,24]. The wind field measurement test of Dongfanghong 2 showed apparent changes in the wind direction during the fixed-point measurement.…”

Section: Introductionmentioning

confidence: 99%

Research on attitude correction algorithm for mobile wind lidars

Zhao,

Shan

2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

The laser wind measurement technology is remarkable for detecting clear-sky wind fields. The Doppler Beam Swinging (DBS) algorithm for wind lidars has been developed to obtain vertical wind profiles based on fixed observation methods. However, the Doppler frequencies are superposed due to the self-motions of lidars caused by carrier motions when lidars are used on motion carrier platforms. Meanwhile, the emission directions of laser beams are uncertain due to changes in carriers’ motion directions and tilts. Thus, a new wind measurement correction model must be studied with lidar attitudes. This study considers the influences of the motion velocities, the carrier's tilt angles, and the laser beams' yaw angles at the 0° azimuth angle on the measured results under lidar motions, a correction model of motion attitudes for mobile wind lidars was designed. Sensitivity simulation tests for motion attitude parameters were carried out, and the influences of different attitude parameters of the carrier on the measured results were investigated to evaluate and verify the effects of the correction model. Results indicated that the wind measurement correction model could correct data errors caused by the carrier’s motion and tilts. The motion velocities, carrier directions, and the yaw angles of the laser beams at the 0° azimuth angle had an essential influence on the wind velocity measurements. Besides, the carrier’s pitch angles and the roll angles, which did not influence the wind velocity measurements, only affected the altitudes of the wind field data. Furthermore, the pitch angles exerted more significant influences on the data altitudes than the roll angles.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on attitude correction algorithm for mobile wind lidars

Zhao,

Shan

2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Yang et al [19] used remote sensing technology to measure the incoming flow of a 3.6 MW horizontal axis wind turbine, and revealed the influence of atmospheric boundary layer turbulence scale on the power fluctuation of the large horizontal axis wind turbine. Wu et al [20][21][22][23] carried out field tests on different topography and surface roughness by using a Pulse Coherent Doppler LiDAR (PCDL), revealing the loss of wind speed along the longitudinal dimension, wake size, turbulent energy dissipation rate, and its influence on the wake length of the unit. Gao et al [24] carried out comparative experimental measurements of the wind turbine wake in three wind farm regions with different complexity by laser Doppler LiDAR and discussed three wake interaction conditions of separate, full, and half wakes, respectively.…”

Section: Introductionmentioning

confidence: 99%

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

Niu

Yang

Wang³

2023

Energies

View full text Add to dashboard Cite

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.

show abstract