Lidar Measurements of Yawed-Wind-Turbine Wakes: Characterization and Validation of Analytical Models

Peter Brugger, Mithu Debnath, Andrew Scholbrock, Paul Fleming, Patrick Moriarty, Eric Simley, David Jager, Jason Roadman, Mark Murphy, Haohua Zong, Fernando Porté-Agel

Research output: Contribution to journalArticlepeer-review

23 Scopus Citations

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.

Original languageAmerican English
Pages (from-to)1253-1272
Number of pages20
JournalWind Energy Science
Volume5
Issue number4
DOIs
StatePublished - 2020

Bibliographical note

See NREL/JA-5000-77071 for article as published in Wind Energy Science Discussions

NREL Publication Number

  • NREL/JA-5000-79537

Keywords

  • lidar
  • wake measurements
  • wakes
  • wind energy

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