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Statistical optimization of chemical cleaning conditions of reverse osmosis membrane process in forward osmosis testing set-up

机译：正向渗透测试装置中反渗透膜工艺化学清洗条件的统计优化

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摘要

A chemical cleaning process is widely used to restore flux decline and solute rejection in membrane-based water treatment processes such as reverse osmosis (RO) process. In this study, the protocols for the chemical cleaning conditions in the RO process were optimized using a response surface methodology (RSM) for minimizing the experiment time and forward osmosis testing set-up, which can be operated with low or no hydraulic pressure, for reducing the usage of high hydraulic pressure pump. Fouled membranes were cleaned in accordance with the statistically designed conditions of various acid and alkaline agents with concentration, pH, and temperature as variables. Based on response surface plots, the chemical agent concentration was found to be the most influential factor to the membrane permeability. The optimum cleaning conditions obtained from RSM were 3% of the acid agent concentration at pH of 2.2 followed by 3% of the alkaline agent concentration at pH lower than 13. At these optimum conditions, the water flux was recovered about 86.1% with the salt rejection of 83.6%, compared with those of virgin membrane in RO process. Furthermore, this method could provide better understanding of the relationship among chemical cleaning agent concentration, pH, and temperature.
机译：在基于膜的水处理工艺（例如反渗透（RO）工艺）中，化学清洗工艺被广泛用于恢复通量下降和溶质排除。在这项研究中，使用响应表面方法（RSM）优化了RO工艺中化学清洗条件的协议，以最大程度地缩短实验时间和正向渗透测试设置，从而可以在低或无液压的情况下进行操作，减少高液压泵的使用。根据各种酸和碱剂的统计设计条件，以浓度，pH和温度为变量，清洁结垢的膜。根据响应表面图，发现化学试剂浓度是影响膜渗透性的最主要因素。从RSM获得的最佳清洗条件是pH值为2.2时酸剂浓度的3％，然后是低于13的pH值时碱剂浓度的3％。在这些最佳条件下，用盐回收的水通量约为86.1％。与反渗透过程中的原始膜相比，截留率为83.6％。此外，该方法可以更好地理解化学清洗剂浓度，pH和温度之间的关系。

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