With international strength demands rapidly growing, enhancing the performance of renewable strength structures is critical. This study at investigates the aerodynamic optimization of wind mills through the mixing of winglets—vertical extensions at blade hints—to enhance power capture. Using computational fluid dynamics (CFD) simulations and experimental validation, the consequences of winglet geometry and blade pitch attitude on turbine performance had been analyzed. The ultimate winglet layout, presenting a 4% blade period, a 45° can’t perspective, and a 50% top radius of curvature, extended the energy coefficient (Cp) via 17.36% as compared to the baseline blade without winglets. Additionally, optimum pitch angles of 50° at wind speeds of 7.2 m/s and 9 m/s maximized energy output, reaching increases of 33.4 W and 83.2 W, respectively. The CFD consequences established decreased tip vortex strength and stepped forward aerodynamic overall performance with winglet integration, tested by way of experimental wind tunnel tests. These findings make a contribution to the improvement of next-era wind turbines with improved performance and electricity output.
Abaza, A. (2025). Computational Optimization of Wind Turbine Winglets for Enhanced Energy Capture. The Egyptian International Journal of Engineering Sciences and Technology, (), -. doi: 10.21608/eijest.2025.333926.1303
MLA
Akrm Mohamed Abaza. "Computational Optimization of Wind Turbine Winglets for Enhanced Energy Capture", The Egyptian International Journal of Engineering Sciences and Technology, , , 2025, -. doi: 10.21608/eijest.2025.333926.1303
HARVARD
Abaza, A. (2025). 'Computational Optimization of Wind Turbine Winglets for Enhanced Energy Capture', The Egyptian International Journal of Engineering Sciences and Technology, (), pp. -. doi: 10.21608/eijest.2025.333926.1303
VANCOUVER
Abaza, A. Computational Optimization of Wind Turbine Winglets for Enhanced Energy Capture. The Egyptian International Journal of Engineering Sciences and Technology, 2025; (): -. doi: 10.21608/eijest.2025.333926.1303