Abstract
In the present work, Large Eddy Simulation (LES) of turbulent flows over a NACA 0015 airfoil is performed. The purpose of such numerical study is to relate the aerodynamic surface pressure with the noise generation. The results from LES are validated against detailed surface pressure measurements where the time history pressure data are recorded by the surface pressure microphones. After the flow-field is stabilized, the generated noise from the airfoil Trailing Edge (TE) is predicted using the acoustic analogy solver, where the results from LES are the input. It is found that there is a strong relation between TE noise and the aerodynamic pressure. The results of power spectrum density show that the fluctuation of aerodynamic pressure is responsible for noise generation.
Highlights
As one of the important renewable energy source, wind energy development is growing very fast in recent years
The microphones are placed along the chord direction, e.g., from leading edge to the trailing edge
The deviation at higher frequencies is due to two reasons: the limited grid size used for Large Eddy Simulation (LES) filter; the wind tunnel fan noise causes high frequency noise, especially the tonal components
Summary
As one of the important renewable energy source, wind energy development is growing very fast in recent years. The issue of wind turbine noise becomes a large factor of uncertainty during wind turbine design and wind farm planning. There is a need of developing wind turbine noise prediction tool that can be used to design low noise wind turbines and silent wind farms. (2015) Airfoil Trailing Edge Noise Generation and Its Surface Pressure Fluctuation. The CAA methods are able to give physical understanding of the flow induced noise mechanisms. The aim of the present study is to focus on turbulent flows over an airfoil and its noise generation. By understanding more about the flow characteristics with respect to noise generation, it is possible to design low noise airfoils with special treatment at trailing edge
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