Detailed field test of yaw-based wake steering

Fleming, Paul; Churchfield, Matt; Scholbrock, Andrew; Clifton, Andrew; Schreck, Scott; Johnson, Kathryn; Wright, Alan; Gebraad, Pieter; Annoni, Jennifer; Naughton, Brian; Berg, Jon; Herges, Tommy; White, Jon; Mikkelsen, Torben; Sjoholm, Mikael; Angelou, Nicolas

doi:10.1088/1742-6596/753/5/052003

Detailed field test of yaw-based wake steering

Journal Article · Mon Oct 03 00:00:00 EDT 2016 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/753/5/052003· OSTI ID:1330799

Fleming, Paul ^[1]; Churchfield, Matt ^[1]; Scholbrock, Andrew ^[1]; Clifton, Andrew ^[1]; Schreck, Scott ^[1]; Johnson, Kathryn ^[1]; Wright, Alan ^[1]; Gebraad, Pieter ^[1]; Annoni, Jennifer ^[1]; Naughton, Brian ^[2]; Berg, Jon ^[2]; Herges, Tommy ^[2]; White, Jon ^[2]; Mikkelsen, Torben ^[3]; Sjoholm, Mikael ^[3]; Angelou, Nicolas ^[3]

National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Technical Univ. of Denmark Wind Energy, Roskilde (Denmark)

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:: NREL (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:: 1330799

Alternate ID(s):: OSTI ID: 22672343

Report Number(s):: NREL/JA--5000-66734

Journal Information:: Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 753; ISSN 1742-6588

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

References (13)

A spinner-integrated wind lidar for enhanced wind turbine control: Spinner-integrated wind lidar for enhanced steering and control Mikkelsen, T.; Angelou, N.; Hansen, K. Wind Energy, Vol. 16, Issue 4 https://doi.org/10.1002/we.1564	journal	October 2012
Simulation comparison of wake mitigation control strategies for a two-turbine case: Simulation comparison of wake mitigation control strategies for a two-turbine case Fleming, Paul; Gebraad, Pieter M. O.; Lee, Sang Wind Energy, Vol. 18, Issue 12 https://doi.org/10.1002/we.1810	journal	October 2014
Application of a LES technique to characterize the wake deflection of a wind turbine in yaw Jiménez, Ángel; Crespo, Antonio; Migoya, Emilio Wind Energy, Vol. 13, Issue 6 https://doi.org/10.1002/we.380	journal	December 2009
Evaluating techniques for redirecting turbine wakes using SOWFA Fleming, Paul A.; Gebraad, Pieter M. O.; Lee, Sang Renewable Energy, Vol. 70 https://doi.org/10.1016/j.renene.2014.02.015	journal	October 2014
Development of a high fidelity CFD code for wind farm control Santoni, Christian; Ciri, Umberto; Rotea, Mario 2015 American Control Conference (ACC) https://doi.org/10.1109/ACC.2015.7170980	conference	July 2015
A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods Marden, Jason R.; Ruben, Shalom D.; Pao, Lucy Y. IEEE Transactions on Control Systems Technology, Vol. 21, Issue 4 https://doi.org/10.1109/TCST.2013.2257780	journal	July 2013
Development of a high fidelity CFD code for wind farm control Santoni, Christian; Ciri, Umberto; Rotea, Mario 2015 American Control Conference (ACC) https://doi.org/10.1109/acc.2015.7170980	conference	July 2015
A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods Marden, Jason R.; Ruben, Shalom D.; Pao, Lucy Y. IEEE Transactions on Control Systems Technology, Vol. 21, Issue 4 https://doi.org/10.1109/tcst.2013.2257780	journal	July 2013
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 Johnson, Kathryn E.; Fritsch, Geraldine Wind Engineering, Vol. 36, Issue 6 https://doi.org/10.1260/0309-524X.36.6.701	journal	December 2012
Assessment of Extremum Seeking Control for Wind Farm Energy Production Johnson, Kathryn E.; Fritsch, Geraldine Wind Engineering, Vol. 36, Issue 6 https://doi.org/10.1260/0309-524x.36.6.701	journal	December 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 Berg, Jonathan; Bryant, Joshua; LeBlanc, Bruce 32nd ASME Wind Energy Symposium https://doi.org/10.2514/6.2014-1088	conference	January 2014

Cited By (8)

Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes Bromm, Marc; Rott, Andreas; Beck, Hauke Wind Energy, Vol. 21, Issue 11 https://doi.org/10.1002/we.2210	journal	June 2018
Modulation of turbulence scales passing through the rotor of a wind turbine Tobin, Nicolas; Chamorro, Leonardo P. Journal of Turbulence, Vol. 20, Issue 1 https://doi.org/10.1080/14685248.2018.1547387	journal	November 2018
High resolution wind turbine wake measurements with a scanning lidar Herges, T. G.; Maniaci, D. C.; Naughton, B. T. Journal of Physics: Conference Series, Vol. 854 https://doi.org/10.1088/1742-6596/854/1/012021	journal	May 2017
Wind turbine wake position detection and rotor speed-based wake steering validation in a wind tunnel wake simulator Castillo, Ricardo; Bayne, Stephen; Pol, Suhas Wind Engineering, Vol. 44, Issue 5 https://doi.org/10.1177/0309524x19852350	journal	June 2019
Estimation of Rotor Loads Due to Wake Steering White, Jonathan; Ennis, Brandon; Herges, Thomas G. 2018 Wind Energy Symposium https://doi.org/10.2514/6.2018-1730	conference	January 2018
Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms Ahmad, Tanvir; Basit, Abdul; Ahsan, Muneeb Energies, Vol. 12, Issue 7 https://doi.org/10.3390/en12071266	journal	April 2019
The Yawing Behavior of Horizontal-Axis Wind Turbines: A Numerical and Experimental Analysis Castellani, Francesco; Astolfi, Davide; Natili, Francesco Machines, Vol. 7, Issue 1 https://doi.org/10.3390/machines7010015	journal	February 2019
Field test of wake steering at an offshore wind farm Fleming, Paul; Annoni, Jennifer; Shah, Jigar J. Wind Energy Science, Vol. 2, Issue 1 https://doi.org/10.5194/wes-2-229-2017	journal	January 2017

Similar Records

Full-Scale Field Test of Wake Steering

Journal Article · Mon Jun 12 20:00:00 EDT 2017 · Journal of Physics. Conference Series · OSTI ID:1371522

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

Journal Article · Wed Oct 07 20:00:00 EDT 2020 · Wind Energy Science (Online) · OSTI ID:1671146

Related Subjects

17 WIND ENERGY
A2e
atmosphere to electrons
wake steering
wind energy
wind farm control

Detailed field test of yaw-based wake steering

Citation Formats

References (13)

Cited By (8)

Similar Records

Related Subjects