Predicting flux and rejection of multicomponent salts mixture in nanofiltration membranes

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

This paper presents a modified Donnan-Steric-Pore model (DSPM) to predict the rejection of mixture of NaCl:Na2SO4 in nanofiltration (NF) membrane based on the extended Nernst-Planck equation with the incorporation of charge and steric effects for the transport of ions inside the membrane and incorporation of concentration polarization effect for mixture of ions/solutes. With this approach, the permeate flux can be calculated based on the concentration of ions at the membrane surface. The membrane performance was modelled using three parameters namely; effective pore radius, rp, effective ratio of membrane thickness to porosity, Δx/Ak, and the effective charge density, Xd. The simulation results shows that the model can predict the tendencies and patterns of rejection and flux reduction behaviour reasonably well for system containing NaCl:Na2SO4. The model can be used as a preliminary tool to assess the rejection capability as well as the flux behaviour of NF membranes in mixtures of solutions. For future works, the model can be improved further to account for non-ideal as well as real mixture solutions.

Original languageEnglish
Pages (from-to)105-111
Number of pages7
JournalDesalination
Volume157
Issue number1-3
DOIs
Publication statusPublished - 1 Aug 2003

Fingerprint

Nanofiltration membranes
Salts
Fluxes
membrane
salt
Membranes
Ions
ion
Charge density
Porosity
Polarization
solute
polarization
porosity
simulation

Keywords

  • Assessment tools
  • Multicomponent
  • Nanofiltration
  • Nernst-Planck equation

ASJC Scopus subject areas

  • Filtration and Separation

Cite this

Predicting flux and rejection of multicomponent salts mixture in nanofiltration membranes. / Mohammad, Abdul Wahab; Takriff, Mohd Sobri.

In: Desalination, Vol. 157, No. 1-3, 01.08.2003, p. 105-111.

Research output: Contribution to journalArticle

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