Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models

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

doi:10.5194/wes-5-1253-2020

Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models

Journal Article · Thu Oct 08 00:00:00 EDT 2020 · Wind Energy Science (Online)

DOI:https://doi.org/10.5194/wes-5-1253-2020· OSTI ID:1671146

; Debnath, Mithu; Scholbrock, Andrew; ; ; ; ; ; Murphy, Mark; Zong, Haohua; Porté-Agel, Fernando

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.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1671146

Alternate ID(s):: OSTI ID: 1772450

Report Number(s):: NREL-JA--5000-79537

Journal Information:: Wind Energy Science (Online), Journal Name: Wind Energy Science (Online) Journal Issue: 4 Vol. 5; ISSN 2366-7451

Publisher:: European Wind Energy Association - CopernicusCopyright Statement

Country of Publication:: Germany

Language:: English

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