Articles | Volume 5, issue 1
Wind Energ. Sci., 5, 427–437, 2020
Wind Energ. Sci., 5, 427–437, 2020
Research article
31 Mar 2020
Research article | 31 Mar 2020

Analytical model for the power–yaw sensitivity of wind turbines operating in full wake

Jaime Liew et al.

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Cited articles

Aagaard Madsen, H., Sørensen, N., and Schreck, S.: Yaw aerodynamics analyzed with three codes in comparison with experiment, in: AIAA Paper 2003-519, American Institute of Aeronautics and Astronautics, Reno, Nevada, USA, 2003. a
Andersen, S. J.: LES of wake flow behind 2.3 MW wind turbine, DTU Data,, 2020. 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,, 2019. a
Archer, C. L. and Vasel-Be-Hagh, A.: Wake steering via yaw control in multi-turbine wind farms: Recommendations based on large-eddy simulation, Sustain. Energ. Technol. Assess., 33, 34–43,, 2019. a
Bartl, J., Mühle, F., and Sætran, L.: Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines, Wind Energ. Sci., 3, 489–502,, 2018. a
Short summary
In wind farms, the interaction between neighboring turbines can cause notable power losses. The focus of the paper is on how the combination of turbine yaw misalignment and wake effects influences the power loss in a wind turbine. The results of the paper show a more notable power loss due to turbine misalignment when turbines are closely spaced. The presented conclusions enable better predictions of a turbine's power production, which can assist the wind farm design process.