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Modeling Electrodialysis and Photochemical Process for their Integration in Saline Wastewater Treatment

机译:盐水废水处理中整合的电渗析和光化学过程建模

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Oxidation processes can be used to treat industrial wastewater containing nonbiodegradable 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 a NaCl in water solution containing phenol. The influence of process variables on the on the demineralization factor was investigated for ED in pilot scale. A phenomenological approach was used to relate 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 to ED and a continuous model, using a plug flow reactor approach, to the oxidation process. Finally, the hybrid resulting simulation could validate different scenarios of the integrated system and can be used for further optimization.
机译:氧化方法可用于治疗含有非耐脱铁有机化合物的工业废水。然而,溶解盐的存在可能抑制或延迟治疗过程。在该研究中,将与先进氧化过程(Photo-Fenton)相关的电渗析(ED)的废水脱盐施加到含有苯酚的水溶液中的NaCl上。在试验规模中研究了工艺变量对脱矿质因子的影响。使用现象学方法与驱动力递及苯酚,盐和水通量。在实验室批量反应器中研究了氧化过程,并且通过将描述反应速率的实验数据作为输入变量的函数来开发基于人工神经网络的基础模型。利用两个过程的实验参数,使用塞式流量反应器方法对ED和连续模型开发动态模型,以氧化过程。最后,混合产生的模拟可以验证集成系统的不同场景,可用于进一步优化。

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