Methodology of the acoustic experiment for studying the aerodynamic noise of wind turbine blade segments

Purpose. This work focuses on developing and implementing the methodology for studying the aerodynamic noise generated by the rotor of a wind turbine. The acoustic characteristics of this noise are analyzed using a blade segment with NACA0012 airfoil. The study addresses the ongoing challenge of reducing wind turbine noise in renewable energy systems. Methodology. The aerodynamic noise of a wind turbine blade segment was experimentally investigated under laboratory conditions in an anechoic chamber. The measurement procedure complies with the national standard DSTU GOST ISO 5725-1:2005. Findings. The paper provides a brief overview of existing approaches to studying aerodynamic noise from wind turbines and presents a custom-designed experimental setup for studying acoustic noise characteristics of blade segments in an anechoic chamber. A method is proposed for analyzing both the acoustic signals of interest and the background noise components. Sound pressure levels were measured, and spectral characteristics of the noise generated by the blade segment with NACA0012 airfoil were analyzed in the presence of background noise. The method demonstrated effective operability for laboratory-based acoustic studies. Originality. The proposed method represents an original approach that differs from the traditional ones, in which test sections are integrated into an anechoic acoustic environment. Unlike conventional methods that assume a stationary model position and reversed flow conditions, this setup simulates the rotational motion of the blade airfoil. This enables a more realistic replication of operational rotor conditions and yields experimental data that better reflect actual aerodynamic noise behavior. Practical value. The developed methodology and experimental setup are applicable to parametric studies of various blade profiles to identify noise-reducing blade modifications. The results are also valuable for validating numerical models of aerodynamic noise prediction for turbine blades.