Article ID Journal Published Year Pages File Type
638434 Journal of Membrane Science 2007 8 Pages PDF
Abstract

The aim of this work was to develop a simple and accurate model for predicting the concentration polarization index in the nanofiltration (NF)/reverse osmosis (RO) of dilute multi-ionic solutions. On the grounds of this model, the total flux of the ion i at the feed-solution/membrane interface consists of the sum of the diffusion, convection and migration fluxes, the former of which is determined by conventional mass-transfer correlations duly corrected to take into account the permeation through the membrane (suction effect). The coupling of the ionic fluxes is enforced by the electroneutrality requirement at the feed-solution/membrane interface. The model developed dispenses with the arbitrary assumption of the thickness of a film layer in the vicinity of the membrane surface.Assessing the accuracy/validity of this model with multi-ionic solutions would be rather harsh, thus the model accuracy and ranges of validity were ascertained for a benchmark case: NF/RO of single salt solutions. The model predicts approximate concentration polarization indexes of the salts A+B−, A+2B2− and A+3B3− (or A2B−2 and A3+B−3) with positive deviations lower than 10% with respect to the benchmark concentration polarization index, for ions diffusivities ratios, D1/D2 (or D2/D1), in the range 0.16–5.5 and ϕ≡Jv/kc<3ϕ≡Jv/kc<3, where Jv is the permeation flux and kc is the mass-transfer coefficient of the salt for vanishing mass-transfer rates at impermeable walls. The main assumption of the model – the individual mass-transfer coefficients of the ions are independent of each other – appears to hold in a broad range of conditions, for single salt solutions.The model developed was expeditely applied to predict the concentration polarization in the nanofiltration of solutions containing Na+, Cl− and a dye3− (experimental data of Bowen and Mohammad [AIChE J. 44 (8) (1998) 1799–1812]), and its predictions are in fair agreement with the predictions of the extended Nernst–Planck equations in the film layer of the “slowest” ion.

Related Topics
Physical Sciences and Engineering Chemical Engineering Filtration and Separation
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