Articles | Volume 5, issue 3
Wind Energ. Sci., 5, 945–958, 2020
https://doi.org/10.5194/wes-5-945-2020
Wind Energ. Sci., 5, 945–958, 2020
https://doi.org/10.5194/wes-5-945-2020
Research article
24 Jul 2020
Research article | 24 Jul 2020

Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2

Paul Fleming et al.

Related authors

FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models
Michael J. LoCascio, Christopher J. Bay, Majid Bastankhah, Garrett E. Barter, Paul A. Fleming, and Luis A. Martínez-Tossas
Wind Energ. Sci., 7, 1137–1151, https://doi.org/10.5194/wes-7-1137-2022,https://doi.org/10.5194/wes-7-1137-2022, 2022
Short summary
Fast yaw optimization for wind plant wake steering using Boolean yaw angles
Andrew P. J. Stanley, Christopher Bay, Rafael Mudafort, and Paul Fleming
Wind Energ. Sci., 7, 741–757, https://doi.org/10.5194/wes-7-741-2022,https://doi.org/10.5194/wes-7-741-2022, 2022
Short summary
Wind farm flow control: prospects and challenges
Johan Meyers, Carlo Bottasso, Katherine Dykes, Paul Fleming, Pieter Gebraad, Gregor Giebel, Tuhfe Göçmen, and Jan-Willem van Wingerden
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2022-24,https://doi.org/10.5194/wes-2022-24, 2022
Preprint under review for WES
Short summary
Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model
Christopher J. Bay, Paul Fleming, Bart Doekemeijer, Jennifer King, Matt Churchfield, and Rafael Mudafort
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2022-17,https://doi.org/10.5194/wes-2022-17, 2022
Preprint under review for WES
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

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
Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance
Eric Simley, Paul Fleming, Nicolas Girard, Lucas Alloin, Emma Godefroy, and Thomas Duc
Wind Energ. Sci., 6, 1427–1453, https://doi.org/10.5194/wes-6-1427-2021,https://doi.org/10.5194/wes-6-1427-2021, 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

Cited articles

Altun, S. B.: Improving wake steering engineering models with wake deflection coupling effects, in: Presentation: Wind Energ. Sci. Conference, 2019. a
Annoni, J., Gebraad, P. M., Scholbrock, A. K., Fleming, P. A., and Wingerden, J.-W.: Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model, Wind Energ., 19, 1135–1150, 2016. 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, b, c
Bastankhah, M. and Porté-Agel, F.: Wind farm power optimization via yaw angle control: A wind tunnel study, J. Renew. Sustain. Energ., 11, 023301, https://doi.org/10.1063/1.5077038, 2019. a, b
Bastankhah, M. and Porté-Agel, F.: A new analytical model for wind-turbine wakes, Renew. Energ., 70, 116–123, 2014. a, b, c, d, e, f, g
Short summary
This paper presents the results of a field campaign investigating the performance of wake steering applied at a section of a commercial wind farm. It is the second phase of the study for which the first phase was reported in a companion paper (https://wes.copernicus.org/articles/4/273/2019/). The authors implemented wake steering on two turbine pairs and compared results with the latest FLORIS model of wake steering, showing good agreement in overall energy increase.