Abd Elnaby Kabeel

TL;DR: An attempt has been made to scrutinize the applications of artificial neural network (ANN) as an intelligent system-based method for optimizing and the prediction of different solar energy devices’ performance.

TL;DR: In this paper, a review on solar still performance is presented, the results indicated that, the basin water depth is considered the main parameter that affects the still performance, the review showed that; the solar still cover with inclination equal to latitude angle receives sun rays close to normal sun rays throughout the year.

TL;DR: In this paper, a concave wick surface was used for evaporation, whereas four sides of a pyramid shaped still were used for condensation, and a jute wick increased the amount of absorbed solar radiation and enhanced the surface area.

TL;DR: In this article, the design modification of a single basin solar still has been investigated to improve the solar still performance through increasing the productivity of distilled water by using nanofluids and integrating the still basin with external condenser.

TL;DR: In this article, the use of graphite and copper oxide micro-flakes with different concentrations, different basin water depths, and different film cooling flow rates is experimentally investigated in an attempt to improve the performance of solar still.