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Title: Enhanced Modeling of Joint Yaw and Axial Induction Control Using Blade Element Momentum Methods
Wind turbine control via concurrent yaw misalignment and axial induction control has demonstrated potential for improving wind farm power output and mitigating structural loads. However, the complex aerodynamic interplay between these two effects requires deeper investigation. This study presents a modified blade element momentum (BEM) model that matches rotor-averaged quantities to an actuator disk model of yawed rotor induction, enabling analysis of joint yaw-induction control using realistic turbine control inputs. The BEM approach reveals that common torque control strategies such as K−Ω^2 exhibit sub-optimal performance under yawed conditions. Notably, the power-yaw and thrust-yaw sensitivities vary significantly depending on the chosen control strategy, contrary to common modeling assumptions. In the context of wind farm control, employing induction control which minimizes the thrust coefficient proves most effective at reducing wake strength for a given power output across all yaw angles. Results indicate that while yaw control deflects wakes effectively, induction control more directly influences wake velocity magnitude, underscoring their complementary effects. This study advances a fundamental understanding of turbine aerodynamic responses in yawed operation and sets the stage for modeling joint yaw and induction control in wind farms.  more » « less
Award ID(s):
2226053
PAR ID:
10520202
Author(s) / Creator(s):
; ;
Publisher / Repository:
IOP Science
Date Published:
Journal Name:
Journal of Physics: Conference Series
Volume:
2767
Issue:
3
ISSN:
1742-6588
Page Range / eLocation ID:
032018
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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