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Title: Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution

Journal Article · · Journal of Physics. Conference Series
 [1];  [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)

Optimal wind power plant design requires understanding of wind turbine wake physics and validation of engineering wake models under wake-controlled operating conditions. In this work, we have developed and investigated several different wake identification and characterization methods for analyzing wake evolution and dynamics. The accuracy and robustness of these methods, based on Gaussian function fitting and adaptive contour identification, have been assessed by application to a large-eddy simulation data set. A new contour-based method based on downstream momentum deficit has been considered. Uncertainties arising from wake-identification errors result in characterizations of the wake expansion, recovery, and meandering motion that differ by 19% of the rotor area, 4% of the freestream, and 15% rotor diameter, respectively.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1603920
Report Number(s):
NREL/JA--5000-74643
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 1452; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

References (15)

On atmospheric stability in the dynamic wake meandering model: On atmospheric stability in the dynamic wake meandering model journal September 2013
Application of a LES technique to characterize the wake deflection of a wind turbine in yaw journal December 2009
Spatial study of the wake meandering using modelled wind turbines in a wind tunnel journal October 2011
A new analytical model for wind-turbine wakes journal October 2014
Evaluating techniques for redirecting turbine wakes using SOWFA journal October 2014
Wake structure in actuator disk models of wind turbines in yaw under uniform inflow conditions journal July 2016
Benchmarks for Model Validation based on LiDAR Wake Measurements journal July 2019
Using High-Fidelity Computational Fluid Dynamics to Help Design a Wind Turbine Wake Measurement Experiment journal September 2016
High resolution wind turbine wake measurements with a scanning lidar journal May 2017
Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data journal April 2014
Does median filtering truly preserve edges better than linear filtering? journal June 2009
Towards a Simplified DynamicWake Model Using POD Analysis journal January 2015
Wind Turbine Wake Characterization from Temporally Disjunct 3-D Measurements journal November 2016
Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: an LES study journal January 2016
Wake behavior and control: comparison of LES simulations and wind tunnel measurements journal January 2019

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