Prediction of multicomponent ION exchange equilibria by using the e-NRTL model for computing the activity coefficients in solution

dc.contributor.authorGarcía Polo, Eva María
dc.contributor.authorRodríguez Mayor, María Lourdes
dc.contributor.authorFerro Fernández, Víctor Roberto
dc.contributor.authorValverde Palomino, José Luis
dc.date.accessioned2020-02-29T19:10:27Z
dc.date.available2020-02-29T19:10:27Z
dc.date.issued2019
dc.description.abstractThe e-NRTL model for computing the activity coefficients in solution of electrolytes was used for the first time, as the best of our knowledge, together with the Wilson's equation for evaluating the non-ideal behavior of the resin phase, in the prediction of multicomponent ion exchange equilibria. For this purpose, experimental data for the binary systems Ni2+/Na+ and Zn2+/Na+ and the ternary system Ni2+/Zn2+/Na+ using Amberlite IR-120 reported by Franco et al. [1] were considered. The results obtained showed that the major impact over the equilibrium modelling was caused by the inclusion of the Wilson's equation demonstrating the predominant effect of the non-ideality of the resin phase. No significant differences in the results (for the systems and ionic concentrations explored here) were observed when Bromley, Pitzer and e-NRTL equations were used to predict the activity coefficients in solution. Regarding the prediction of the multicomponent equilibria, it can be said that the most complex models: Pitzer's and e-NRTL ones, yield the best results. Again, the major impact in the improvement of the prediction was the inclusion of the Wilson's parameters. Finally, since the e-NRTL model allows to indistinctly work with both electrolytes and non-electrolytes, it could be possible to design modules for simulating the ion exchange operation in process simulations software like Aspen Plus®.spa
dc.description.filiationUEMspa
dc.description.impact2.838 JCR (2019) Q2, 16/61 Thermodynamics, 55/143 Engineering, Chemical; Q3, 81/159 Chemistry, Physicalspa
dc.description.impact0.762 SJR (2019) Q1, 64/376 Chemical Engineering (miscellaneous)spa
dc.description.impactNo data IDR 2019spa
dc.description.sponsorshipSin financiaciónspa
dc.identifier.citationGarcía, E., Rodríguez, L., Ferro, V., & Valverde, J. L. (2019). Prediction of multicomponent ION exchange equilibria by using the e-NRTL model for computing the activity coefficients in solution. Fluid Phase Equilibria, 498, 132–143. https://doi.org/10.1016/j.fluid.2019.07.002spa
dc.identifier.doi10.1016/j.fluid.2019.07.002
dc.identifier.issn0378-3812
dc.identifier.issn1879-0224
dc.identifier.urihttp://hdl.handle.net/11268/8686
dc.language.isoengspa
dc.peerreviewedSispa
dc.rights.accessRightsrestricted accessspa
dc.subject.uemDinámica de fluidosspa
dc.subject.uemMétodos de simulaciónspa
dc.subject.unescoDinámica de fluidosspa
dc.subject.unescoModelo de simulaciónspa
dc.titlePrediction of multicomponent ION exchange equilibria by using the e-NRTL model for computing the activity coefficients in solutionspa
dc.typejournal articlespa
dspace.entity.typePublication
relation.isAuthorOfPublication9311ad0c-1ee6-4366-8428-0c5a0b35b5cd
relation.isAuthorOfPublication.latestForDiscovery9311ad0c-1ee6-4366-8428-0c5a0b35b5cd

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