Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models
<p>Wake measurements of a scanning Doppler lidar mounted on the nacelle of a full-scale wind turbine during a wake-steering experiment were used for the characterization of the wake flow, the evaluation of the wake-steering set-up, and the validation of analytical wake models. Inflow-scanning...
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doaj-c76dde0324b344469e5941abda1385c82020-11-25T02:46:40ZengCopernicus PublicationsWind Energy Science2366-74432366-74512020-10-0151253127210.5194/wes-5-1253-2020Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical modelsP. Brugger0M. Debnath1A. Scholbrock2P. Fleming3P. Moriarty4E. Simley5D. Jager6J. Roadman7M. Murphy8H. Zong9F. Porté-Agel10Wind Engineering and Renewable Energy Laboratory (WiRE), École Polytechnique Fedérale de Lausanne (EPFL), 1015 Lausanne, SwitzerlandNational Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USANational Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USANational Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USANational Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USANational Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USANational Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USANational Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USANational Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USAWind Engineering and Renewable Energy Laboratory (WiRE), École Polytechnique Fedérale de Lausanne (EPFL), 1015 Lausanne, SwitzerlandWind Engineering and Renewable Energy Laboratory (WiRE), École Polytechnique Fedérale de Lausanne (EPFL), 1015 Lausanne, Switzerland<p>Wake measurements of a scanning Doppler lidar mounted on the nacelle of a full-scale wind turbine during a wake-steering experiment were used for the characterization of the wake flow, the evaluation of the wake-steering set-up, and the validation of analytical wake models. Inflow-scanning Doppler lidars, a meteorological mast, and the supervisory control and data acquisition (SCADA) system of the wind turbine complemented the set-up. Results from the wake-scanning Doppler lidar showed an increase in the wake deflection with the yaw angle and that the wake deflection was not in all cases beneficial for the power output of a downstream turbine due to a bias of the inflow wind direction perceived by the yawed wind turbine and the wake-steering design implemented. Both observations could be reproduced with an analytical model that was initialized with the inflow measurements. Error propagation from the inflow measurements that were used as model input and the power coefficient of a waked wind turbine contributed significantly to the model uncertainty. Lastly, the span-wise cross section of the wake was strongly affected by wind veer, masking the effects of the yawed wind turbine on the wake cross sections.</p>https://wes.copernicus.org/articles/5/1253/2020/wes-5-1253-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
P. Brugger M. Debnath A. Scholbrock P. Fleming P. Moriarty E. Simley D. Jager J. Roadman M. Murphy H. Zong F. Porté-Agel |
spellingShingle |
P. Brugger M. Debnath A. Scholbrock P. Fleming P. Moriarty E. Simley D. Jager J. Roadman M. Murphy H. Zong F. Porté-Agel Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models Wind Energy Science |
author_facet |
P. Brugger M. Debnath A. Scholbrock P. Fleming P. Moriarty E. Simley D. Jager J. Roadman M. Murphy H. Zong F. Porté-Agel |
author_sort |
P. Brugger |
title |
Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models |
title_short |
Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models |
title_full |
Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models |
title_fullStr |
Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models |
title_full_unstemmed |
Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models |
title_sort |
lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models |
publisher |
Copernicus Publications |
series |
Wind Energy Science |
issn |
2366-7443 2366-7451 |
publishDate |
2020-10-01 |
description |
<p>Wake measurements of a scanning Doppler lidar mounted on the nacelle of a full-scale wind turbine during a wake-steering experiment were used for the characterization of the wake flow, the evaluation of the wake-steering set-up, and the validation of analytical wake models. Inflow-scanning Doppler lidars, a meteorological mast, and the supervisory control and data acquisition (SCADA) system of the wind turbine complemented the set-up.
Results from the wake-scanning Doppler lidar showed an increase in the wake deflection with the yaw angle and that the wake deflection was not in all cases beneficial for the power output of a downstream turbine due to a bias of the inflow wind direction perceived by the yawed wind turbine and the wake-steering design implemented. Both observations could be reproduced with an analytical model that was initialized with the inflow measurements. Error propagation from the inflow measurements that were used as model input and the power coefficient of a waked wind turbine contributed significantly to the model uncertainty. Lastly, the span-wise cross section of the wake was strongly affected by wind veer, masking the effects of the yawed wind turbine on the wake cross sections.</p> |
url |
https://wes.copernicus.org/articles/5/1253/2020/wes-5-1253-2020.pdf |
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