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• Numerical simulation for fully transparent solar distiller is performed. • The proposed numerical models are validated using experimental data. • A parametric study is carried out to investigate the operating conditions effect. • The on-roof transparent distillers can provide 37.5% of irrigation water demand. • The on-roof distillers reduce the power consumption for the cooling system by 60%. Solar distillers are the simplest desalination equipment used to produce fresh water using the most sustainable source of energy. In this research, a new fully transparent solar distiller is designed to be integrated into the roof of an agricultural greenhouse using the excess solar radiation to produce desalinated water for plant irrigation. A numerical technique is proposed to analyse the performance of the distiller. This technique couples a lumped model based on transient mass and energy balance equations for different components of the distiller with a computational fluid dynamics (CFD) model to simulate the flow, heat transfer, and phase change of humid air and water with a free surface inside the distiller. The predicted temperature variations of the glass and basin by the lumped model are used as boundary conditions for the CFD model to improve the accuracy of the water production estimations. The results of the lumped model and the coupled lumped–CFD model are compared with the experimental data from a transparent distiller test performed at Alexandria, Egypt. The same average daily efficiency of 12.4% for both the experimental measurements and the coupled lumped–CFD model is shown. The results of the validated numerical model indicate that the daily yield can be increased by approximately 22% by increasing the basin insulation. Additionally, the predicted maximum yield is 618.2 mL/day in August. Integrating transparent distillers into a greenhouse roof can provide 37.5% of irrigation water and reduce the power consumption of the greenhouse cooling system by 60%. [ABSTRACT FROM AUTHOR]

Methylene blue (MB) immobilized onto a sulfonated poly(glycidyl methacrylate) (SPGMA) polymer composite has been developed as a novel adsorbent for water treatment applications. The MB adsorptions onto sulfonated poly(glycidyl methacrylate) polymer characters have been studied. The adsorption isotherms, namely Langmuir and Freundlich, have been investigated. Other isotherm models. As a compromise between the Freundlich and Langmuir isotherm models, such as the D–R isotherm and the Temkin isotherm, have been compared. The results indicated that the adsorption process followed the Freundlich isotherm model, indicating heterogeneous surface site energies and multi-layer levels of sorption. This study selected three linear kinetic models, namely pseudo-first order, pseudo-second order, and Elovich, to describe the MB sorption process using SPGMA negatively charged nanoparticles (430 nm). The obtained data revealed that the adsorption process obeyed the pseudo-second-order kinetic model, suggesting that the rate-limiting step in these sorption processes may be chemisorption. Furthermore, the thermodynamic parameters have been evaluated. Moreover, the interaction of the MB molecules with SPGMA nanoparticles has been simulated using the governing equation that describes ion exchange resin derived from Nernst—Plank equations between two ion species. Finally, the developed MB-SPGMA composite adsorbent (27 mg/g) wastested for the first time for the removal of Cr6+ ions and Mn7+ metal ions from dichromate and permanganate-contaminated waters under mild adsorption conditions, opening a new field of multiuse of the same adsorbent in the removal of more than one contaminant. [ABSTRACT FROM AUTHOR]