Although the FO process steady state performance has been extensively investigated, there is a huge gap in forward osmosis dynamic studies especially for water desalination applications. In this paper, an appropriate dynamic model was developed based on the phenomena involved in the FO process. For its validation, an experimental study was carried out using a FO test bench and flat-sheet membrane for two draw solutes (MgCl₂ and NaCl), to measure the water flux, $J_{w,}$ and the reverse solute flux (RSF), $J_s$. The time evolution of these two experimentally obtained fluxes were compared to those calculated using a dynamic model developed using Python language for both draw solute. This comparison shows that the mean absolute error did not exceed 5.25% for water flux and 5.63% for RSF. The dynamic model can thus be considered reliable when considering experimental errors. The resulting model can thus analyze the influence of the initial draw solute (DS) concentration on both water flux and reverse solute flux dynamics, and subsequently compare the osmotic performances of MgCl₂ and NaCl based on the specific RSF ratio. The water flux obtained with MgCl₂ is on average 8.23% lower than for NaCl. MgCl₂ nevertheless performed better in terms of reverse solute flux and has been demonstrated to be 28.87% lower than NaCl. The calculated specific RSF ratio is shown to be independent of both time and DS concentration.

尽管已对FO工艺的稳态性能进行了广泛研究，但在正向渗透动力学研究中，尤其是在水脱盐应用中，仍存在巨大差距。在本文中，基于FO过程中涉及的现象开发了合适​​的动力学模型。为了验证其有效性，我们使用FO测试台和平板膜对两种牵引溶质（MgCl ₂和NaCl）进行了实验研究，以测量水通量，${Ĵ}_{w，}$ 和反向溶质通量（RSF）， ${Ĵ}_s$。将这两种实验获得的通量的时间演化与使用动态模型计算的通量进行比较，动态模型是使用Python语言开发的，用于两种溶质。该比较表明，水流量的平均绝对误差不超过5.25％，RSF的平均绝对误差不超过5.63％。因此，在考虑实验误差时，可以将动态模型视为可靠的。因此，生成的模型可以分析初始抽取溶质（DS）浓度对水通量和反向溶质通量动力学的影响，然后根据特定的RSF比值比较MgCl ₂和NaCl的渗透性能。用MgCl ₂获得的水通量平均比NaCl低8.23％。氯化镁₂然而，在反向溶质通量方面表现更好，并且已被证明比NaCl低28.87％。计算得出的特定RSF比值与时间和DS浓度均无关。