Airfoil profile modifications based on Bezier Curve and Optimization using PSO

This research focuses on optimizing the profile of wind turbine blades to improve performance by increasing the ratio of the Coefficient Lift (C-L) to the Coefficient Drag (C-D). Utilizing Particle Swarm Optimization (PSO) and Computational Fluid Dynamics (CFD), specifically through OpenFOAM and ParaView software, the aerodynamic efficiency of various airfoil geometries is evaluated. Initial simulations involved a two-dimensional airfoil design using Bezier Curves to establish geometric parameters. ADflow solver is used for CFD analysis, supporting turbulence models. The optimization process is twofold: first, increasing the C-L/C-D ratio, followed by minimizing the C-D value. Among the 16 airfoil variations generated through Bezier curves, the best performance was sought to become the basis for further PSO optimization. CFD simulation results to analyze the significant improvement in aerodynamic performance with airfoil optimization.