A
Ahmad Sharifian
Researcher at University of Southern Queensland
Publications - 33
Citations - 160
Ahmad Sharifian is an academic researcher from University of Southern Queensland. The author has contributed to research in topics: Wind speed & Refrigerant. The author has an hindex of 5, co-authored 33 publications receiving 124 citations.
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Geometrical optimization of a swirling Savonius wind turbine using an open jet wind tunnel
TL;DR: In this paper, wind tunnel experiments have been carried out to optimize the swirling Savonius turbine geometry in terms of maximum power coefficient by considering several design parameters, such as blade overlap ratio, hot air inlet diameter and the condition of the top end plate.
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Flow Field and Performance Study of Vertical Axis Savonius Type SST Wind Turbine
TL;DR: In this paper, a new hybrid power system has been proposed combining the conventional Savonius wind turbine and split channel mechanisms, and a simulation method for predicting their aerodynamic performance using control volume based CFD package of ANSYS CFX.
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Power and velocity control of wind turbines by adaptive fuzzy controller during full load operation
TL;DR: Results, which are compared with verified results of reference controller, show that the proposed adaptive fuzzy controller in full load operation has a higher efficiency than that of reference ones, insensitive to fast wind speed variation that is considered as disturbance.
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A novel ember shower simulator for assessing performance of low porosity screens at high wind speeds against firebrand attacks
Ahmad Sharifian,Javad Hashempour +1 more
TL;DR: In this article, a low-cost laboratory-scale fire ember shower simulator has been designed and manufactured in-house, which is able to assess the performance of low porosity screens at high wind speeds without any reverse flow and possible consequent safety hazards.
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Effects of flow parameters on the performance of vertical axis swirling type Savonius wind turbine
TL;DR: In this paper, wind tunnel experiments were carried out on a geometrically optimal swirling Savonius turbine by varying flow parameters to determine their effects on power and torque coefficients.