光催化处理石化工业废碱废水

A. H. Asl, A. Ahmadpour, N. Fallah
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引用次数: 5

摘要

本研究采用光催化法处理石油化工烯烃装置废水中含有大量总溶解固体(TDS)的废苛性碱。采用悬浮二氧化钛合成光催化剂,测定光催化剂(lbc)过程中化学需氧量(COD),采用Box-Behnken (BBD)法和人工神经网络(ANN)法在双圆柱壳光反应器中进行了实验测试,并对COD进行了建模和评价。应用计算表明,人工神经网络比实验设计更适合于COD去除率的建模和预测。本研究采用的模型表明,在pH为中性的状态下,增加光催化剂的浓度,COD去除率达到最佳,无限制时为1.31 g/L,有限制时为2 g/L,去除率分别为81%和79%。此外,对氧化剂用量、曝气率、pH、催化剂负载量等参数影响的研究表明,除pH外,其他因素对模型均有正向影响;此外,如果忽略相互作用,COD的去除效率会随着这些因素的增加而增加(pH除外)。此外,曝气与光催化剂浓度之间没有相互作用,酸性pH值更适合于低浓度的光催化剂。此外,当氧化剂处于较低水平时,随着pH的增加,去除率降低。结果表明,与光催化剂相比,光解和吸附对COD去除率的影响很小,且不显著。此外,光催化法对废水样品中的苯酚具有可接受的去除能力,而对废水中的硫化物溶液的还原效率较低。
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Photocatalytic treatment of spent caustic wastewater in petrochemical industries
In this study, the photocatalytic method was used for treating the spent caustic in the wastewater of Olefin units used in petrochemical industries which contain large amounts of total dissolved solids (TDS). By using the synthetic photocatalyst of suspended titanium dioxide and measuring the chemical oxygen demand (COD) which was reduced in the photocatalyst (lbc) process, the values of COD were modeled and evaluated by means of the Box-Behnken (BBD) and the artificial neural network (ANN) using experimental tests in a double-cylindrical-shell photo reactor. According to the applied calculations, it was found that the artificial neural network was a more suitable method than the experimental design in modeling and forecasting the amount of COD removal. The modeling employed in this research showed that increasing the concentration of the photocatalyst in a state of neutral pH enhanced the COD removal up to the optimal amount of 1.31 g/L without restrictions and 2 g/L with restrictions at the rate of 81% and 79%, respectively. In addition, the study of the parameter effects including oxidizer amount, aeration rate, pH, and the amount of loaded catalyst indicated that all factors except pH  had a positive effect on the model; furthermore, if the interactions were neglected, the COD removal efficiency would increase by increasing each of these factors (except pH). In addition, there was no interaction between the aeration and the concentration of the photocatalyst, and the acidic pH was more suitable at low concentrations of the photocatalyst. Besides that, by increasing the pH, the efficiency of removal was reduced when the oxidant was at its low level. The results showed that photolysis and adsorption adoptions had a very small effect on the efficiency of the removal of COD compared to the photocatalyst adoptions, and it was insignificant. In addition, the photocatalytic method had an acceptable capacity for removing the phenol in the wastewater sample, whereas it was inefficient in reducing the sulfide solution in the wastewater.
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