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Polishing of treated palm oil mill effluent (POME) from ponding system by electrocoagulation process

机译:通过电凝工艺抛光池塘系统中处理过的棕榈油厂废液(POME)

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摘要

As the ponding system used to treat palm oil mill effluent (POME) frequently fails to satisfy the discharge standard in Malaysia, the present study aimed to resolve this problem using an optimized electrocoagulation process. Thus, a central composite design (CCD) module in response surface methodology was employed to optimize the interactions of process variables, namely current density, contact time and initial pH targeted on maximum removal of chemical oxygen demand (COD), colour and turbidity with satisfactory pH of discharge POME. The batch study was initially designed by CCD and statistical models of responses were subsequently derived to indicate the significant terms of interactive process variables. All models were verified by analysis of variance showing model significances with Prob > F < 0.01. The optimum performance was obtained at the current density of 56 mA/cm(2), contact time of 65 min and initial pH of 4.5, rendering complete removal of colour and turbidity with COD removal of 75.4%. The pH of post-treated POME of 7.6 was achieved, which is suitable for direct discharge. These predicted outputs were subsequently confirmed by insignificant standard deviation readings between predicted and actual values. This optimum condition also permitted the simultaneous removal of NH3-N, and various metal ions, signifying the superiority of the electrocoagulation process optimized by CCD.
机译:由于用于处理棕榈油厂废水(POME)的池塘系统经常无法满足马来西亚的排放标准,因此本研究旨在通过优化的电凝工艺来解决此问题。因此,采用响应表面方法的中央复合设计(CCD)模块来优化过程变量之间的相互作用,即针对最大去除化学需氧量(COD),颜色和浑浊度的目标电流密度,接触时间和初始pH排放POME的pH。批处理研究最初是由CCD设计的,随后得到了响应的统计模型,以表明交互过程变量的重要术语。通过方差分析验证了所有模型,该模型显示了Prob> F <0.01的模型重要性。在56 mA / cm(2)的电流密度,65分钟的接触时间和4.5的初始pH值下可获得最佳性能,从而完全消除了颜色和浑浊,COD去除率为75.4%。后处理的POME的pH值为7.6,适合直接排放。随后,通过预测值与实际值之间的微小标准偏差读数确认了这些预测输出。这种最佳条件还允许同时去除NH3-N和各种金属离子,这表明了CCD优化的电凝过程的优越性。

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