Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models
Abstract
Abstract. 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.
- Authors:
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1671146
- Alternate Identifier(s):
- OSTI ID: 1772450
- Report Number(s):
- NREL-JA-5000-79537
Journal ID: ISSN 2366-7451
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Published Article
- Journal Name:
- Wind Energy Science (Online)
- Additional Journal Information:
- Journal Name: Wind Energy Science (Online) Journal Volume: 5 Journal Issue: 4; Journal ID: ISSN 2366-7451
- Publisher:
- European Wind Energy Association - Copernicus
- Country of Publication:
- Germany
- Language:
- English
- Subject:
- 17 WIND ENERGY; wind energy; lidar; wakes; wake measurements
Citation Formats
Brugger, Peter, Debnath, Mithu, Scholbrock, Andrew, Fleming, Paul, Moriarty, Patrick, Simley, Eric, Jager, David, Roadman, Jason, Murphy, Mark, Zong, Haohua, and Porté-Agel, Fernando. Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models. Germany: N. p., 2020.
Web. doi:10.5194/wes-5-1253-2020.
Brugger, Peter, Debnath, Mithu, Scholbrock, Andrew, Fleming, Paul, Moriarty, Patrick, Simley, Eric, Jager, David, Roadman, Jason, Murphy, Mark, Zong, Haohua, & Porté-Agel, Fernando. Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models. Germany. https://doi.org/10.5194/wes-5-1253-2020
Brugger, Peter, Debnath, Mithu, Scholbrock, Andrew, Fleming, Paul, Moriarty, Patrick, Simley, Eric, Jager, David, Roadman, Jason, Murphy, Mark, Zong, Haohua, and Porté-Agel, Fernando. Thu .
"Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models". Germany. https://doi.org/10.5194/wes-5-1253-2020.
@article{osti_1671146,
title = {Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models},
author = {Brugger, Peter and Debnath, Mithu and Scholbrock, Andrew and Fleming, Paul and Moriarty, Patrick and Simley, Eric and Jager, David and Roadman, Jason and Murphy, Mark and Zong, Haohua and Porté-Agel, Fernando},
abstractNote = {Abstract. 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.},
doi = {10.5194/wes-5-1253-2020},
journal = {Wind Energy Science (Online)},
number = 4,
volume = 5,
place = {Germany},
year = {Thu Oct 08 00:00:00 EDT 2020},
month = {Thu Oct 08 00:00:00 EDT 2020}
}
https://doi.org/10.5194/wes-5-1253-2020
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