Articles | Volume 6, issue 6
Wind Energ. Sci., 6, 1427–1453, 2021
https://doi.org/10.5194/wes-6-1427-2021
Wind Energ. Sci., 6, 1427–1453, 2021
https://doi.org/10.5194/wes-6-1427-2021
Research article
12 Nov 2021
Research article | 12 Nov 2021

Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance

Eric Simley et al.

Related authors

Experimental results of wake steering using fixed angles
Paul Fleming, Michael Sinner, Tom Young, Marine Lannic, Jennifer King, Eric Simley, and Bart Doekemeijer
Wind Energ. Sci., 6, 1521–1531, https://doi.org/10.5194/wes-6-1521-2021,https://doi.org/10.5194/wes-6-1521-2021, 2021
Short summary
On turbulence models and lidar measurements for wind turbine control
Liang Dong, Wai Hou Lio, and Eric Simley
Wind Energ. Sci., 6, 1491–1500, https://doi.org/10.5194/wes-6-1491-2021,https://doi.org/10.5194/wes-6-1491-2021, 2021
Short summary
Design and analysis of a wake model for spatially heterogeneous flow
Alayna Farrell, Jennifer King, Caroline Draxl, Rafael Mudafort, Nicholas Hamilton, Christopher J. Bay, Paul Fleming, and Eric Simley
Wind Energ. Sci., 6, 737–758, https://doi.org/10.5194/wes-6-737-2021,https://doi.org/10.5194/wes-6-737-2021, 2021
Short summary
Control-oriented model for secondary effects of wake steering
Jennifer King, Paul Fleming, Ryan King, Luis A. Martínez-Tossas, Christopher J. Bay, Rafael Mudafort, and Eric Simley
Wind Energ. Sci., 6, 701–714, https://doi.org/10.5194/wes-6-701-2021,https://doi.org/10.5194/wes-6-701-2021, 2021
Short summary
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, and Fernando Porté-Agel
Wind Energ. Sci., 5, 1253–1272, https://doi.org/10.5194/wes-5-1253-2020,https://doi.org/10.5194/wes-5-1253-2020, 2020
Short summary

Related subject area

Control and system identification
Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach
Yichao Liu, Riccardo Ferrari, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 523–537, https://doi.org/10.5194/wes-7-523-2022,https://doi.org/10.5194/wes-7-523-2022, 2022
Short summary
A reference open-source controller for fixed and floating offshore wind turbines
Nikhar J. Abbas, Daniel S. Zalkind, Lucy Pao, and Alan Wright
Wind Energ. Sci., 7, 53–73, https://doi.org/10.5194/wes-7-53-2022,https://doi.org/10.5194/wes-7-53-2022, 2022
Short summary
Experimental results of wake steering using fixed angles
Paul Fleming, Michael Sinner, Tom Young, Marine Lannic, Jennifer King, Eric Simley, and Bart Doekemeijer
Wind Energ. Sci., 6, 1521–1531, https://doi.org/10.5194/wes-6-1521-2021,https://doi.org/10.5194/wes-6-1521-2021, 2021
Short summary
Model-based design of a wave-feedforward control strategy in floating wind turbines
Alessandro Fontanella, Mees Al, Jan-Willem van Wingerden, and Marco Belloli
Wind Energ. Sci., 6, 885–901, https://doi.org/10.5194/wes-6-885-2021,https://doi.org/10.5194/wes-6-885-2021, 2021
Short summary
Active flap control with the trailing edge flap hinge moment as a sensor: using it to estimate local blade inflow conditions and to reduce extreme blade loads and deflections
Sebastian Perez-Becker, David Marten, and Christian Oliver Paschereit
Wind Energ. Sci., 6, 791–814, https://doi.org/10.5194/wes-6-791-2021,https://doi.org/10.5194/wes-6-791-2021, 2021
Short summary

Cited articles

Adaramola, M. S. and Krogstad, P. Å.: Experimental investigation of wake effects on wind turbine performance, Renew. Energ., 36, 2078–2086, 2011. a
Ahmad, T., Coupiac, O., Petit, A., Guignard, S., Girard, N., Kazemtabrizi, B., and Matthews, P.: Field Implementation and Trial of Coordinated Control of Wind Farms, IEEE T. Sustain. Energ., 9, 1169–1176, https://doi.org/10.1109/TSTE.2017.2774508, 2017. a
Annoni, J., Bay, C., Johnson, K., Dall'Anese, E., Quon, E., Kemper, T., and Fleming, P.: Wind direction estimation using SCADA data with consensus-based optimization, Wind Energ. Sci., 4, 355–368, https://doi.org/10.5194/wes-4-355-2019, 2019. a
Bastankhah, M. and Porté-Agel, F.: A new analytical model for wind-turbine wakes, Renew. Energ., 70, 116–123, 2014. a
Bastankhah, M. and Porté-Agel, F.: Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech., 806, 506–541, 2016. a
Download
Short summary
Wake steering is a wind farm control strategy in which upstream wind turbines are misaligned with the wind to deflect their low-velocity wakes away from downstream turbines, increasing overall power production. Here, we present results from a two-turbine wake-steering experiment at a commercial wind plant. By analyzing the wind speed dependence of wake steering, we find that the energy gained tends to increase for higher wind speeds because of both the wind conditions and turbine operation.