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Dr. Mina Gamal Mourad Abd Elmalek :: Theses :

Title Effect of Winglet on Wind Turbine Performance and Wake Characteristics
Type PhD
Supervisors Prof.Dr.Samir Sobhy Ayad Prof.Dr.Osama Ezzat Abdellatif Prof.Dr.Tarek Abdelamalak Mekhail Dr. Ibrahim Mahmoud Shahin
Year 2020
Abstract Winglet (WL) has recently been used to improve the performance of horizontal axis wind turbine (HAWT). The WL geometry is a key parameter for diverging blade tip vortices away from turbine blades and reducing their induced drag. The present study focuses on the effect of winglet height (H) and toe angle (α w ) on the turbine performance and turbine wake characteristics. Both computational and experimental investigations are carried out. The performance of a three-bladed rotor of 1m diameter with SD8000 aerofoil is numerically investigated using ANSYS 17.2 CFD on a polyhedral mesh. The model is hence validated by comparing results for power coefficient (C pw ) with experimental values available in the literature. The pressure coefficient (C p ) results around blade aerofoil are compared to those of the literature. Four upwind WLs with different values of H are considered while keeping α w constant at 0 o . The winglet of H=0.8%R is proved to be the best height for performance enhancement. It increases C pw by 2.4% at tip speed ratio =7. The toe angle effect is studied for upwind and downwind WLs while keeping H=0.8%R. The results show that C pw increases as α w increases up to α w =+20 o ii Abstract at all values of . C pw increases by 6% at =7. Downwind WL always reduces C pw . The present results are well explained by the resulting vectors map near the blade tip. Using WL with the optimum H and α w , causes 6% increase in C pw as compared to rotor blades without WL. The effects of four selected WLs namely H=8%R, H=0.8%R (α w =0), α w =30 o (H=0.8%R) on the wake up to X/R=5.4 downstream of the turbine are studied numerically at λ=7. The optimum WL (H=0.8%R and α w =+20 o ) increases the velocity deficit in the mixing region as a result of thrust increase. It produces higher Reynolds’s shear stress and wider mixing region by comparison to the other WLs. The results prove that optimum winglet plays crucial role in wake re-energizing process. Experiments are performed using free-jet wind tunnel and three-dimensional printed model with the same CFD model dimensions. Four samples of WLs are manufactured for the experimental study. The WL of α w =+20 o shows experimentally the same percent of power enhancement (6% at λ=7) that is previously predicted by the present CFD.
Keywords Wind Turbine, Winglet, Wakes, CFD, Toe angle
University Benha University
Country Egypt
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