Articles | Volume 6, issue 3
https://doi.org/10.5194/wes-6-701-2021
https://doi.org/10.5194/wes-6-701-2021
Research article
 | 
21 May 2021
Research article |  | 21 May 2021

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

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Cited articles

Abkar, M. and Porté-Agel, F.: The effect of atmospheric stability on wind-turbine wakes: A large-eddy simulation study, J. Phys. Conf. Ser., 524, No. 1, IOP Publishing, 2014. a
Abkar, M. and Porté-Agel, F.: Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study, Phys. Fluids, 27, 035104, https://doi.org/10.1063/1.4913695, 2015. a, b, c, d
Annoni, J., Fleming, P., Scholbrock, A., Roadman, J., Dana, S., Adcock, C., Porte-Agel, F., Raach, S., Haizmann, F., and Schlipf, D.: Analysis of control-oriented wake modeling tools using lidar field results, Wind Energ. Sci., 3, 819–831, https://doi.org/10.5194/wes-3-819-2018, 2018. a, b
Annoni, J., Dall'Anese, E., Hong, M., and Bay, C. J.: Efficient Distributed Optimization of Wind Farms Using Proximal Primal-Dual Algorithms, in: Proceedings of the 2019 American Control Conference (ACC), American Control Conference (ACC) IEEE, July 2019, Philadelphia, PA, 4173–4178, 2019. a
Bastankhah, M. and Porté-Agel, F.: A new analytical model for wind-turbine wakes, Renew. Energ., 70, 116–123, 2014. a, b, c
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Short summary
This paper highlights the secondary effects of wake steering, including yaw-added wake recovery and secondary steering. These effects enhance the value of wake steering especially when applied to a large wind farm. This paper models these secondary effects using an analytical model proposed in the paper. The results of this model are compared with large-eddy simulations for several cases including 2-turbine, 3-turbine, 5-turbine, and 38-turbine cases.
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