Show simple item record

dc.contributor.authorEl-Amin, Mohamed F.
dc.date.accessioned2024-05-26T05:07:06Z
dc.date.available2024-05-26T05:07:06Z
dc.date.issued2024-03-01
dc.identifier.doihttps://doi.org/10.1109/LT60077.2024.10469136en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/1683
dc.description.abstractThis study improves the mathematical modeling for the potential of atmospheric water harvesting (AWH) using desiccant materials. This research is crucial in highlighting the sustainable water management strategies of AWH systems in converting atmospheric moisture into a vital water source. The primary focus of our research methodology was the analytical derivation of sorption isotherms, essential for the hygrothermal simulation of desiccant materials. This was accomplished through the application of two established models, namely, the Guggenheim-Anderson-de Boer (GAB) and Van Genuchten (VG). Experimental data on various anhydrous salts from existing literature have been used. An in-depth comparative analysis of these models reveals that the VG model aligns more closely with the experimental data, thus asserting its superiority in enhancing the selection and efficiency of desiccant materials in AWH systems. By confirming the VG model’s superiority in accurately modeling sorption isotherms, our research not only improves the model of AWH systems but also, importantly, contributes to the development of advanced water harvesting technologies.en_US
dc.publisherIEEEen_US
dc.subjectWater;Adaptation models;Analytical models;Atmospheric modeling;Soil;Predictive models;Mathematical models;Atmospheric water harvesting (AWH);sorption isotherms;Guggenheim-Anderson-de Boer (GAB) model;Van Genuchten (VG) modelen_US
dc.titlePrediction of Adsorption and Desorption Isotherms for Atmospheric Water Harvestingen_US
dc.contributor.researcherCollege collaborationen_US
dc.contributor.labEnergy Laben_US
dc.subject.KSAENERGYen_US
dc.contributor.ugstudent0en_US
dc.contributor.alumnae0en_US
dc.source.indexScopusen_US
dc.contributor.departmentNSMTUen_US
dc.contributor.pgstudent0en_US
dc.contributor.firstauthorNarjisse, Kabbaj
dc.conference.locationEffat University, Jeddah, KSAen_US
dc.conference.name2024 21st Learning and Technology Conference (L&T)en_US
dc.conference.date2024-01-26


This item appears in the following Collection(s)

Show simple item record