skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Detailed field test of yaw-based wake steering

Journal Article · · Journal of Physics. Conference Series

This study describes a detailed field-test campaign to investigate yaw-based wake steering. In yaw-based wake steering, an upstream turbine intentionally misaligns its yaw with respect to the inflow to deflect its wake away from a downstream turbine, with the goal of increasing total power production. In the first phase, a nacelle-mounted scanning lidar was used to verify wake deflection of a misaligned turbine and calibrate wake deflection models. In the second phase, these models were used within a yaw controller to achieve a desired wake deflection. This paper details the experimental design and setup. Lastly, all data collected as part of this field experiment will be archived and made available to the public via the U.S. Department of Energy's Atmosphere to Electrons Data Archive and Portal.

Research Organization:
National Renewable Energy Lab. (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:
1330799
Report Number(s):
NREL/JA-5000-66734
Journal Information:
Journal of Physics. Conference Series, Vol. 753; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 20 works
Citation information provided by
Web of Science

References (10)

Evaluating techniques for redirecting turbine wakes using SOWFA journal October 2014
Simulation comparison of wake mitigation control strategies for a two-turbine case: Simulation comparison of wake mitigation control strategies for a two-turbine case journal October 2014
Development of a high fidelity CFD code for wind farm control conference July 2015
A spinner-integrated wind lidar for enhanced wind turbine control: Spinner-integrated wind lidar for enhanced steering and control journal October 2012
A Large-Eddy Simulations of Wind-Plant Aerodynamics
  • Churchfield, Matthew; Lee, Sang; Moriarty, Patrick
  • 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition https://doi.org/10.2514/6.2012-537
conference November 2012
Scaled Wind Farm Technology Facility Overview conference January 2014
Application of a LES technique to characterize the wake deflection of a wind turbine in yaw journal December 2009
Wind farm power maximization based on a cooperative static game approach
  • Park, Jinkyoo; Kwon, Soonduck; Law, Kincho H.
  • SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, SPIE Proceedings https://doi.org/10.1117/12.2009618
conference April 2013
Assessment of Extremum Seeking Control for Wind Farm Energy Production journal December 2012
A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods journal July 2013

Cited By (8)

The Yawing Behavior of Horizontal-Axis Wind Turbines: A Numerical and Experimental Analysis journal February 2019
Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms journal April 2019
Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes journal June 2018
Modulation of turbulence scales passing through the rotor of a wind turbine journal November 2018
High resolution wind turbine wake measurements with a scanning lidar journal May 2017
Estimation of Rotor Loads Due to Wake Steering conference January 2018
Wind turbine wake position detection and rotor speed-based wake steering validation in a wind tunnel wake simulator journal June 2019
Field test of wake steering at an offshore wind farm journal January 2017

Similar Records

Full-Scale Field Test of Wake Steering
Journal Article · Tue Jun 13 00:00:00 EDT 2017 · Journal of Physics. Conference Series · OSTI ID:1330799

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) · OSTI ID:1330799

Analysis of Control-Oriented Wake Modeling Tools Using Lidar Field Results
Journal Article · Thu Feb 08 00:00:00 EST 2018 · Wind Energy Science Discussions · OSTI ID:1330799