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dc.contributor.advisor Li, Qilin
dc.creatorHeldenbrand, Amy M
dc.date.accessioned 2016-01-22T17:37:01Z
dc.date.available 2016-01-22T17:37:01Z
dc.date.created 2015-12
dc.date.issued 2015-10-22
dc.date.submitted December 2015
dc.identifier.citation Heldenbrand, Amy M. "Development of a Predictive and Mechanistic Model for Capacitive Deionization." (2015) Master’s Thesis, Rice University. https://hdl.handle.net/1911/88081.
dc.identifier.urihttps://hdl.handle.net/1911/88081
dc.description.abstract The 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.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectCapacitive deionization
modeling
double-layer overlap
desalination
electrosorption
ion volume effects
dc.title Development of a Predictive and Mechanistic Model for Capacitive Deionization
dc.contributor.committeeMember Alvarez, Pedro J.J.
dc.contributor.committeeMember Tomson, Mason B
dc.date.updated 2016-01-22T17:37:01Z
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Civil and Environmental Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science


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