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dc.contributor.authorEl-Amin, Mohamed F.
dc.contributor.authorAl Kanay, Sedam
dc.contributor.authorBrahimi, Tayeb
dc.date.accessioned2023-03-12T09:14:33Z
dc.date.available2023-03-12T09:14:33Z
dc.date.issued10 November 2022
dc.identifier.doihttps://doi.org/10.3390/separations9110364en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/569
dc.description.abstractNowadays, harvesting water from the atmosphere is becoming a new alternative for generating fresh water. To the author’s best knowledge, no mathematical model has been established to describe the process of harvesting water from the atmosphere using porous materials. This research seeks to develop a new mathematical model for water moisture absorption in porous materials to simulate and assess harvesting atmospheric water. The mathematical model consists of a set of governing partial differential equations, including mass conservation equation, momentum equation, associated parameterizations, and initial/boundary conditions. Moreover, the model represents a two-phase fluid flow that contains phase-change gas–liquid physics. A dataset has been collected from the literature containing five porous materials that have been experimentally used in water generation from the air. The five porous materials include copper chloride, copper sulfate, magnesium sulfate, manganese oxides, and crystallites of lithium bromide. A group of empirical models to relate the relative humidity and water content have been suggested and combined with the governing to close the mathematical system. The mathematical model has been solved numerically for different times, thicknesses, and other critical parameters. A comparison with experimental findings was made to demonstrate the validity of the simulation model. The results show that the proposed mathematical model precisely predicts the water content during the absorption process. In addition, the simulation results show that; during the absorption process, when the depth is smaller, the water content reaches a higher saturation point quickly and at a lower time, i.e., quick process. Finally, the highest average error of the harvesting atmospheric water model is around 1.9% compared to experimental data observed in manganese oxides.en_US
dc.publisherMDPIen_US
dc.titleNumerical Modeling and Analysis of Harvesting Atmospheric Water Using Porous Materialsen_US
dc.source.journalSeparationsen_US
dc.source.volume9en_US
dc.source.issue11en_US
dc.contributor.researcherCollege Collaborationen_US
dc.contributor.labEnergy Laben_US
dc.subject.KSAWATERen_US
dc.source.indexScopusen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.contributor.firstauthorAl Kanay, Sedam


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