This paper aims at developing an artificial intelligence model to forecast the water yield of a
modified solar distiller integrated with evacuated tubes and an external condenser. The …

In this paper, a new productivity prediction model of active solar still was developed
depending on improving the performance of the traditional artificial neural networks using …

Recently, accurate prediction of the distilled productivity is a decisive issue to assess and
compare the ability of these designs of solar stills to provide distilled water to a certain …

Here we present a new compact design of a vertical water distillation tower based on solar
stills. The experimental setup consisted of a vertical tower with five water trays, supported by …

An enhanced design for a solar still desalination system which has been proposed in the
previously conducted study of the research team is considered here, and the experimental …

Abstract Solar Stills (SSs) are an eco-friendly and efficient approach to generating drinking
water from brackish or saline sources. In this paper, a novel model for predicting the …

Distillation is an energy‐consuming process in the chemical industry. Optimizing operating
conditions can reduce the amount of energy consumed and improve the efficiency of …

Today artificial intelligence is a major utility technology that can help industry and research
in many fields, including solar thermal energy for water desalination purposes. Hence, the …

In this work, the artificial neural network model was developed to predict the energy
performance of a photovoltaic-thermal evaporator used in solar assisted heat pumps. The …

An assessment of using different passive condenser designs of the solar distiller based on
productivity, exergy, energy, energyeconomic, exergyeconomic, enviroeconomic is …