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  4. Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer
 
research article

Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer

Brugger, Peter  
•
Fuertes, Fernando Carbajo  
•
Vahidzadeh, Mohsen
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September 26, 2019
Remote Sensing

Accurate prediction of wind turbine wakes is important for more efficient design and operation of wind parks. Volumetric wake measurements of nacelle-mounted Doppler lidars are used to characterize the wake of a full-scale wind turbine and to validate an analytical wake model that incorporates the effect of wind veer. Both, measurements and model prediction, show an elliptical and tilted spanwise cross-section of the wake in the presence of wind veer. The error between model and measurements is reduced compared to a model without the effect of wind veer. The characterization of the downwind velocity deficit development and wake growth is robust. The wake tilt angle can only be determined for elliptical wakes.

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Type
research article
DOI
10.3390/rs11192247
Web of Science ID

WOS:000496827100061

Author(s)
Brugger, Peter  
Fuertes, Fernando Carbajo  
Vahidzadeh, Mohsen
Markfort, Corey D.
Porté-Agel, Fernando  
Date Issued

2019-09-26

Published in
Remote Sensing
Volume

11

Issue

19

Article Number

2247

Subjects

wind turbine wake

•

wind veer

•

Doppler lidar

•

field experiment

•

atmospheric boundary layer

•

wake modeling

•

wake characterization

•

wind energy

Note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
WIRE  
FunderGrant Number

Swiss foundations

200021-172538

Swiss federal funding

SI/501337-01

Available on Infoscience
March 16, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/167306
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