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Palm Oil Mill Effluent Treatment Through Combined Process Adsorption and Membrane Filtration

机译:联合工艺吸附和膜过滤处理棕榈油厂废水

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The growth in palm oil production also leads to an Increase in the production of palm oil mill effluent (POME). Nowadays, POME was treated using an open lagoon but this method is ineffectiveness in complying with the standards for water disposal. Therefore, efficient and cohesive treatment system is highly desired to ensure the final discharge of the treated water meets the effluent discharge standards. Initially, the POME was treated through adsorption, followed by UF membranes roomates were intended to reduce COD, TSS and turbidity up to 88%, 99%, and 98%, while the final treatment of RO membranes can reduce BOD, COD and color up to 92%, 98% and 99%. To determine the optimum condition of the RO membrane, response surface methodology (RSM) was used. The results showed there was correlation between all key variables. POME concentration, trans-membrane pressure, pH and time would give significant effects in reducing the parameters in POME treatment with the optimum condition of 15.77% for POME concentration, 3.73 for pH, 0.5 bar trans-membrane pressure and 5 hours for filtration time. To predict COD removal, the results were analyzed by applying the artificial neural network (ANN) to derive a mathematical model.
机译:棕榈油产量的增长也导致棕榈油厂废液(POME)产量的增加。如今,使用开放式泻湖对POME进行了处理,但是这种方法无法满足水处理标准。因此,迫切需要一种高效,凝聚的处理系统,以确保处理后的水的最终排放量达到废水排放标准。最初,对POME进行吸附处理,然后用超滤膜将余留物减少多达88%,99%和98%的COD,TSS和浊度,而对RO膜的最终处理则可减少BOD,COD和着色分别达到92%,98%和99%。为了确定反渗透膜的最佳条件,使用了响应面法(RSM)。结果表明,所有关键变量之间都存在相关性。 POME浓度,跨膜压力,pH和时间将对降低POME处理中的参数产生重大影响,最佳条件为POME浓度为15.77%,pH为3.73、0.5 bar跨膜压力和5小时过滤时间。为了预测化学需氧量的去除,通过应用人工神经网络(ANN)来分析结果,以得出数学模型。

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