Modeling of transport phenomena in a hybrid forward osmosis-directional freeze crystallization process for clean water recovery from hydrometallurgical effluents

Abstract

Sustainable water recovery and reuse are critical yet challenging, especially from industrial effluents in cold regions. This work presents a robust numerical model of the transport phenomena in a hybrid two-step forward osmosis (FO)-directional freeze crystallization (DFC) desalination process, whose application in areas with cold climates is advantageous. Deionized (DI) water and a hydrometallurgical effluent were considered as the feed solution in the FO step, while three aqueous solutions of inorganic salts were considered as the draw solutions (DS): NaCl, CaCl2, and MgCl2. The effects of temperature and initial DS concentration were investigated on water flux, reverse solute flux, and specific water flux using computational fluid dynamics (CFD). Based on the simulation results, the highest water flux (18 L/m2/h for DI water and 5 L/m2/h for the hydrometallurgical effluent) and lowest reverse solute flux (consistently below 0.3 mol/m2/h) were obtained when MgCl2 was used as the DS. The effect of solute type in the DS on both water recovery yield and purity was in turn studied in the subsequent DFC step, allowing to visualize the solute distribution during the freezing process. HIGHLIGHTS Model development and validation of a forward osmosis-directional freeze crystallization (FO-DFC) desalination process.; MgCl2 exhibited the highest water flux and lowest reverse solute flux in FO.; MgCl2 showed the highest rejection flux among the inorganic salts tested during DFC.; The highest impurity rejection flux rate during ice growth occurred at the solid–liquid interface.;

Keywords

• computational fluid dynamics
• desalination
• directional freeze crystallization
• forward osmosis
• sustainable processing
• water recovery