Performance Enhancement of Wind Turbine Blade Aerodynamics Using Computational Fluid Dynamics Optimization
Keywords:
Wind Turbine Blades, Computational Fluid Dynamics, Aerodynamic Optimization, Renewable Energy, Turbulence Analysis, Wind Energy SystemsAbstract
The increasing global demand for renewable energy has intensified research efforts toward improving the aerodynamic efficiency and power generation capability of wind turbine systems. This study presents a computational fluid dynamics (CFD)-based optimization approach for enhancing the aerodynamic performance of wind turbine blades under varying operating conditions. The proposed research framework integrates aerodynamic modeling, numerical simulation, and optimization techniques to analyze airflow behavior, pressure distribution, lift-to-drag characteristics, and turbulence effects around wind turbine blade profiles. A computational methodology based on CFD analysis was employed to evaluate blade performance under different wind speeds, blade geometries, and angle-of-attack conditions. Advanced optimization algorithms were implemented to identify optimal blade design parameters that maximize energy extraction efficiency while minimizing aerodynamic losses and structural loading effects. Simulation results demonstrated significant improvements in aerodynamic efficiency, power coefficient, airflow stability, and energy conversion performance compared with conventional blade configurations. The optimized blade designs also exhibited reduced flow separation, lower drag forces, and enhanced lift generation under dynamic wind conditions. Furthermore, the analysis revealed that aerodynamic optimization contributed to improved operational reliability, reduced vibration effects, and increased overall wind turbine performance. The study concludes that CFD-based aerodynamic optimization provides an effective and reliable solution for developing high-performance wind turbine blade systems capable of supporting sustainable and efficient renewable energy generation. The findings contribute to the advancement of modern wind energy technologies through improved blade design strategies, enhanced power production efficiency, and optimized aerodynamic behavior for large-scale offshore and onshore wind turbine applications.