What is it about?
This work analyses dynamic stall phenomena on the S809 airfoil under 2D flow conditions. New flow separation and random noise models are developed based on a statistical approach for high angles of attack. These were integrated in the Beddeos-Leishman (BL) model for dynamic stall through a new algorithm. The numerical predictions of the lift and drag coefficients were compared with the measurements for the oscillating S809 airfoil at several reduced frequencies, and angles of attack.
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Why is it important?
The developed models can be integrated in a potential flow theory to predict the unsteady aerodynamic loads on wind turbine blades more efficiently. These models can also reduce uncertainties and make wind turbines more cost effective.
Perspectives
Dynamic stall phenomena are not fully understood. All existing semi-empirical models for dynamic stall are unable to capture the real physical process that triggers the boundary layer and development of the dynamic stall vortices. Improvement in this field is still required for better predictions of the unsteady aerodynamic loads acting on wind turbine blades. The present paper builds on existing work involving the use of the well-known Beddoes-Leishman (BL) model for modelling dynamic stall. A modified version of the BL model is proposed. It mainly involves the integration of two new sub-models: (1) a flow separation model derived from blade pressure measures and (2) a random noise model. The proposed model could contribute to improvements in predicting unsteady aerodynamic loads acting on wind turbine blades while still maintaining an acceptable level of computational cost which is desirable for designers and engineers.
Mr MOUTAZ ELGAMMI
University of Malta
Read the Original
This page is a summary of: Integrating a new flow separation model and the effects of the vortex shedding for improved dynamic stall predictions using the Beddoes-Leishman method, Wind Energy, March 2016, Wiley,
DOI: 10.1002/we.1971.
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