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Modeling electrodialysis and a photochemical process for their integration in saline wastewater treatment

机译:建模电渗析及其光化学过程以将其整合到盐水处理中

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摘要

Oxidation processes can be used to treat industrial wastewater containing non-biodegradable organic compounds. However, the presence of dissolved salts may inhibit or retard the treatment process. In this study, wastewater desalination by electrodialysis (ED) associated with an advanced oxidation process (photo-Fenton) was applied to an aqueous NaCl solution containing phenol. The influence of process variables on the demineralization factor was investigated for ED in pilot scale and a correlation was obtained between the phenol, salt and water fluxes with the driving force. The oxidation process was investigated in a laboratory batch reactor and a model based on artificial neural networks was developed by fitting the experimental data describing the reaction rate as a function of the input variables. With the experimental parameters of both processes, a dynamic model was developed for ED and a continuous model, using a plug flow reactor approach, for the oxidation process. Finally, the hybrid model simulation could validate different scenarios of the integrated system and can be used for process optimization.
机译:氧化工艺可用于处理含有不可生物降解的有机化合物的工业废水。但是,溶解盐的存在可能会抑制或延缓治疗过程。在这项研究中,将通过电渗析(ED)进行的废水脱盐与先进的氧化过程(光芬顿)相结合,将其应用于含苯酚的NaCl水溶液。以中试规模研究了工艺变量对脱盐因子的影响,并得出了酚,盐和水通量与驱动力之间的相关性。在实验室间歇式反应器中研究了氧化过程,并通过拟合描述反应速率随输入变量变化的实验数据,开发了基于人工神经网络的模型。利用这两个过程的实验参数,开发了用于ED的动力学模型和使用活塞流反应器方法的用于氧化过程的连续模型。最后,混合模型仿真可以验证集成系统的不同场景,并可以用于过程优化。

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