Acoustic Characteristics of Stall on Rotor Blade Profiles

Due to yaw misalignment and design considerations, rotor blades of wind energy turbines are prone to dynamic stall, which leads to reduced plant efficiency and broad band acoustic emissions. CFD simulations can only predict the circumstances of stall and resulting acoustic signatures to a certain degree. For that reason, the BIMAQ is developing an in-process measurement system which eventually shall detect and localize dynamic stall on wind energy turbines in operation. As a first step, predefined stall events shall be investigated with regard to their acoustic signature.

The focus of this thesis lies on literature research and data evaluation. The topic can be realised as a master’s project.

Your Tasks:

• literature research concerning physical
  models of the acoustic spectra
• processing and evaluation of acoustic data
  from a field campaign

Your Profile:

• solid experience in Python
• basic understanding of aerodynamic processes
• (ideally) experience with
  acoustics