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Ahmed S. Shehata
Researcher at Arab Academy for Science, Technology & Maritime Transport
Publications - 43
Citations - 434
Ahmed S. Shehata is an academic researcher from Arab Academy for Science, Technology & Maritime Transport. The author has contributed to research in topics: Engineering & Environmental science. The author has an hindex of 9, co-authored 20 publications receiving 288 citations. Previous affiliations of Ahmed S. Shehata include University of Strathclyde.
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Performance study of ducted nozzle Savonius water turbine, comparison with conventional Savonius turbine
TL;DR: In this paper, the authors proposed a novel system of ducted nozzle configuration around the Savonius rotor to increase the efficiency of the turbine, and the maximum power coefficient of the ducted turbine was increased by 78% compared to the conventional modified rotor.
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Wells turbine for wave energy conversion: a review
TL;DR: In this article, the authors provide an updated and a comprehensive account of the state of the art research on Wells turbine and draw a roadmap for the contemporary challenges which may hinder future reliance on such systems in the renewable energy sector.
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Performance analysis of wells turbine blades using the entropy generation minimization method
TL;DR: In this paper, the second law efficiency and entropy generation characteristics around different blades that are used in Wells turbine under oscillating flow conditions were investigated by using time-dependent CFD models of different NACA airfoils under sinusoidal flow boundary conditions.
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Passive flow control for aerodynamic performance enhancement of airfoil with its application in Wells turbine – Under oscillating flow condition
TL;DR: In this article, the authors employed an entropy generation minimization method to examine the impact of the flow control method on the entropy generation characteristics around the turbine blade, which is performed using a time-dependent CFD model of isolated NACA airfoil, which refers to the turbine blades under sinusoidal flow boundary conditions, which emulates the actual operating conditions.
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Enhancement of performance of wave turbine during stall using passive flow control: First and second law analysis
TL;DR: In this article, the authors used an entropy generation minimization method to examine the impact of the multi-suction slots method on the entropy generation characteristics around the turbine blade and found that the airfoil with three suction slots located at 40, 55% and 90% from leading edge in chord percentage gave the highest torque coefficient by 267% before the stall and 51% after the stall.