Development of a Predictive and Mechanistic Model for Capacitive Deionization

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dc.contributor.advisorLi, Qilinen_US
dc.contributor.committeeMemberAlvarez, Pedro J.J.en_US
dc.contributor.committeeMemberTomson, Mason Ben_US
dc.creatorHeldenbrand, Amy Men_US
dc.date.accessioned2016-01-22T17:37:01Zen_US
dc.date.available2016-01-22T17:37:01Zen_US
dc.date.created2015-12en_US
dc.date.issued2015-10-22en_US
dc.date.submittedDecember 2015en_US
dc.date.updated2016-01-22T17:37:01Zen_US
dc.description.abstractThe objective of this research was to develop a mechanistic and predictive model for capacitive deionization (CDI). The commonly-known Gouy Chapman Stern (GCS) model was modified to account for finite ion size and pore geometry by including the Carnahan-Starling (CS) equation of state and considering boundary conditions resulting from difference in pore shape and size and the subsequent impact on potential and concentration profiles. This GCS-CS model with pore geometry was applied to six model activated carbons (MACs) of uniform pore size to analyze the effect of influent salt concentration, pore size and geometry, and applied voltage on ion removal. The general trends found in modeling results were consistent with data presented in the literature. These findings were then compared with the commonly used CDI models, which could not replicate them. This indicates the complexity present in this new model is necessary for accurate representation of ion adsorption in CDI.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHeldenbrand, Amy M. "Development of a Predictive and Mechanistic Model for Capacitive Deionization." (2015) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/88081">https://hdl.handle.net/1911/88081</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/88081en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectCapacitive deionizationen_US
dc.subjectmodelingen_US
dc.subjectdouble-layer overlapen_US
dc.subjectdesalinationen_US
dc.subjectelectrosorptionen_US
dc.subjection volume effectsen_US
dc.titleDevelopment of a Predictive and Mechanistic Model for Capacitive Deionizationen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentCivil and Environmental Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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