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<p>Electrodeionization combines ion-exchange resins and ion exchange membranes for water purification, but hydrodynamic resistance and mass-transfer limitations in resin-packed modules still constrain pressure loss, energy consumption, and removal efficiency. This study explores the influence of Reynolds number (Re) and bed porosity on key hydrodynamic and mass transfer characteristics such as pressure drop (∆P), Sherwood number (Sh), and power number (Pn). A three-dimensional steady-state model in Computational Fluid Dynamics (CFD) coupled with RSM-CCD, which helps to develop accurate predictive models for pressure drop, Sherwood number, and power number to analyze and optimize these parameters. The integration of this statistical approach with CFD simulations ensures robust validation and practical applicability of the optimization results. The ANOVA analysis indicates that the quadratic model used in this study is statistically significant. The coefficient of determination (R<sup>2</sup>) values of 0.9971, 1.0000, and 0.9938 for pressure drop, Sherwood number, and Power number indicate an excellent fit of the quadratic regression models to the experimental simulated data. At the optimized conditions of Reynolds number of 2000 and porosity of 0.591329, RSM predicts pressure drop of 436.73&#xa0;Pa, Sherwood number of 559.09, and power number of 8.71 × 10<sup>8</sup>. These values closely match CFD simulation results with pressure drop of 462.4&#xa0;Pa, Sherwood number of 558.85 and power number of 9.18 × 10<sup>8</sup>, thereby validating the accuracy of RSM model. The present study provides a design-oriented hydrodynamic and mass-transfer framework for preliminary EDI module optimization, while acknowledging the absence of transient and electrochemical effects; related limitations and future extensions are discussed.</p>

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Hydrodynamics Investigation of Electrodeionization Resin Bed for Improved Ultrapure Water Production

  • 期刊论文

  • 发表日期：

    2026年1月24日

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  • Pankaj D. Indurkar,
  • Parthiv Dixit,
  • Bhupendra K. Markam,
  • Atul Maldhure,
  • Vaibhav Kulshrestha

摘要

Electrodeionization combines ion-exchange resins and ion exchange membranes for water purification, but hydrodynamic resistance and mass-transfer limitations in resin-packed modules still constrain pressure loss, energy consumption, and removal efficiency. This study explores the influence of Reynolds number (Re) and bed porosity on key hydrodynamic and mass transfer characteristics such as pressure drop (∆P), Sherwood number (Sh), and power number (Pn). A three-dimensional steady-state model in Computational Fluid Dynamics (CFD) coupled with RSM-CCD, which helps to develop accurate predictive models for pressure drop, Sherwood number, and power number to analyze and optimize these parameters. The integration of this statistical approach with CFD simulations ensures robust validation and practical applicability of the optimization results. The ANOVA analysis indicates that the quadratic model used in this study is statistically significant. The coefficient of determination (R2) values of 0.9971, 1.0000, and 0.9938 for pressure drop, Sherwood number, and Power number indicate an excellent fit of the quadratic regression models to the experimental simulated data. At the optimized conditions of Reynolds number of 2000 and porosity of 0.591329, RSM predicts pressure drop of 436.73 Pa, Sherwood number of 559.09, and power number of 8.71 × 108. These values closely match CFD simulation results with pressure drop of 462.4 Pa, Sherwood number of 558.85 and power number of 9.18 × 108, thereby validating the accuracy of RSM model. The present study provides a design-oriented hydrodynamic and mass-transfer framework for preliminary EDI module optimization, while acknowledging the absence of transient and electrochemical effects; related limitations and future extensions are discussed.