An empirical/theoretical model with dimensionless numbers to predict the performance of electrodialysis systems on the basis of operating conditions.

Among the different technologies developed for desalination, the electrodialysis/electrodialysis reversal (ED/EDR) process is one of the most promising for treating brackish water with low salinity when there is high risk of scaling. Multiple researchers have investigated ED/EDR to optimize the process, determine the effects of operating parameters, and develop theoretical/empirical models. Previously published empirical/theoretical models have evaluated the effect of the hydraulic conditions of the ED/EDR on the limiting current density using dimensionless numbers. The reason for previous studies' emphasis on limiting current density is twofold: 1) to maximize ion removal, most ED/EDR systems are operated close to limiting current conditions if there is not a scaling potential in the concentrate chamber due to a high concentration of less-soluble salts; and 2) for modeling the ED/EDR system with dimensionless numbers, it is more accurate and convenient to use limiting current density, where the boundary layer's characteristics are known at constant electrical conditions. To improve knowledge of ED/EDR systems, ED/EDR models should be also developed for the Ohmic region, where operation reduces energy consumption, facilitates targeted ion removal, and prolongs membrane life compared to limiting current conditions. In this paper, theoretical/empirical models were developed for ED/EDR performance in a wide range of operating conditions. The presented ion removal and selectivity models were developed for the removal of monovalent ions and divalent ions utilizing the dominant dimensionless numbers obtained from laboratory scale electrodialysis experiments. At any system scale, these models can predict ED/EDR performance in terms of monovalent and divalent ion removal.

[1]  Osamu Kuroda,et al.  Characteristics of flow and mass transfer rate in an electrodialyzer compartment including spacer , 1983 .

[2]  O. V. Grigorchuk,et al.  Mathematical model of electrodialysis with ion-exchange membranes and inert spacers , 2010 .

[3]  M. Turek,et al.  Concentration distribution along the electrodialyzer , 2014 .

[4]  Ain A. Sonin,et al.  A turbulent flow theory of electrodialysis , 1972 .

[5]  A. Ghassemi,et al.  A prediction model of mass transfer through an electrodialysis cell , 2016 .

[6]  S. Chattopadhyay,et al.  Optimum Concentrate Stream Concentration in CaCl2 Removal from SugarSolution Using Electrodialysis , 2015 .

[7]  M. Moresi,et al.  Assessment of the main engineering parameters controlling the electrodialytic recovery of sodium propionate from aqueous solutions , 2006 .

[8]  Ain A. Sonin,et al.  Optimization of Flow Design in Forced Flow Electrochemical Systems, with Special Application to Electrodialysis , 1974 .

[9]  Ain A. Sonin,et al.  A hydrodynamic theory of desalination by electrodialysis , 1968 .

[10]  A. Ghassemi,et al.  How Operational Parameters and Membrane Characteristics Affect the Performance of Electrodialysis Reversal Desalination Systems: The State of the Art , 2016 .

[11]  Gerrit Kraaijeveld,et al.  Modelling electrodialysis using the Maxwell-Stefan description , 1995 .

[12]  Richard D. Noble,et al.  Membrane separations technology : principles and applications , 1995 .

[13]  A. Ghassemi,et al.  High-recovery electrodialysis reversal for the desalination of inland brackish waters , 2016 .

[14]  Vítor Geraldes,et al.  Limiting current density in the electrodialysis of multi-ionic solutions , 2010 .

[15]  V. Vasil'eva,et al.  Local characteristics of mass transfer under electrodialysis demineralization , 2005 .

[16]  A. Ghassemi,et al.  Effects of operating conditions on ion removal from brackish water using a pilot-scale electrodialysis reversal system , 2016 .

[17]  Mauro Moresi,et al.  Optimal strategy to model the electrodialytic recovery of a strong electrolyte , 2005 .

[18]  Leila Karimi,et al.  Technical feasibility comparison of off-grid PV-EDR and PV-RO desalination systems via their energy consumption , 2015 .

[19]  A. Bernardes,et al.  Current-voltage curves for treating effluent containing HEDP : determination of the limiting current , 2015 .

[20]  Ting-Chia Huang Correlations of ionic mass transfer rate in ion exchange membrane electrodialysis , 1977 .

[21]  L. Karimi Theoretical, experimental, and predictive models for ion removal in electrodialysis and electrodialysis reversal , 2015 .

[22]  Application of the Nernst–Planck approach to model the electrodialytic recovery of disodium itaconate , 2010 .

[23]  Asashi Kitamoto,et al.  Transfer rates in electrodialysis with ion exchange membranes , 1971 .