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The paper presents a stochastic approach to estimate the aerodynamic forceswith local dynamics on wind turbine blades in unsteady wind inflow. This isdone by integrating a stochastic model of lift and drag dynamics for an airfoilinto the aerodynamic simulation software AeroDyn. The model is added as analternative to the static table lookup approach in blade element momentum (BEM)wake model used by AeroDyn. The stochastic forces are obtained for a rotorblade element using full field turbulence simulated wind data input andcompared with the classical BEM and dynamic stall models for identicalconditions. The comparison shows that the stochastic model generates additionalextended dynamic response in terms of local force fluctuations. Further, thecomparison of statistics between the classical BEM, dynamic stall andstochastic models' results in terms of their increment probability densityfunctions gives consistent results.

Stochastic model for aerodynamic force dynamics on wind turbine blades in unsteady wind inflow