The aerodynamic noise generated from wind turbines is a growing concern with the ever increasing size of the turbine blades. The aerodynamic noise prediction is frequently based on unsteady CFD simulations, which can be expensive for the Reynolds numbers that are characteristic of wind turbines. The Random Particle-Mesh (RPM) method which is a stochastic approach to reconstruct the aerodynamic sources of sound in time domain from a solution to the averaged flow equations (RANS) is a promising alternative to high-fidelity unsteady CFD simulations. Since, trailing-edge noise constitutes a significant source of noise emitted by wind turbines, in this work the RPM method is applied to generate trailing-edge turbulence. The method is applied to a relatively simple Controlled-Diffusion airfoil geometry in 2D. Due to the stochastic nature of the method the choice of the simulation parameters has a significant impact on the statistics of the reconstructed turbulence. In the final paper a parametric study of the stochastic method will be presented with an aim to gain deeper understanding of the method and to propose guidelines for higher accuracy and lower computational cost. http://www.winercost.com/cost_files/WINERCOST17_Proceedings_Book.pdf ispartof: pages:362-369 ispartof: Proceedings of the International Conference on Wind Energy Harvesting 2017 pages:362-369 ispartof: International Conference on Wind Energy Harvesting location:Coimbra, Portugal date:20 Apr - 21 Apr 2017 status: published