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Performance evaluation and optimization of a fluidized three-dimensional electrode reactor combining pre-exposed granular activated carbon as a moving particle electrode for greywater treatment

机译:结合预先暴露的颗粒状活性炭作为移动颗粒电极处理灰水的流化三维电极反应器的性能评估和优化

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This study deals with the application of a fluidized three-dimensional electrode reactor (F-TDER) system combining granular activated carbon (GAC) as a moving particle electrode and an electric field for greywater treatment by electrocoagulation. In order to eliminate the adsorption capacity of GAC, pre-exposed GAC (20 cycles) to greywater was employed. Through a series batch test, the four main key parameters as independent variables and each experimental range were determined (applied current, GAC dosage, initial pH, and reaction time). Statistical optimization of the F-TDER system was subsequently carried out by the response surface methodology with a Box-Behnken design to describe interactive effects of determined independent variables on the maximization of COD removal efficiency. From an analysis of variance, it was found that a quadratic polynomial model fitted with the actual data well (R-2 = 0.9709). The response surface analysis showed that GAC dosage, initial pH, and reaction time were more influential factors than applied current, and they had either slightly interdependent or significantly interactive effects on COD removal efficiency. The optimum conditions found were applied current of 354.3 mA, GAC dosage of 47.1 g/L, initial pH of 5.4, and reaction time of 55 min which resulted in 98.56 +/- 0.14% of COD removal efficiency. (C) 2015 Elsevier B.V. All rights reserved.
机译:这项研究涉及流化三维电极反应器(F-TDER)系统的应用,该系统结合了颗粒活性炭(GAC)作为移动粒子电极和电场进行电凝法处理灰水。为了消除GAC的吸附能力,使用了预先暴露的GAC(20个循环)对灰水的吸附。通过一系列批处理测试,确定了四个主要的关键参数作为自变量和每个实验范围(施加电流,GAC剂量,初始pH值和反应时间)。随后,采用Box-Behnken设计的响应面方法对F-TDER系统进行了统计优化,以描述确定的独立变量对COD去除效率最大化的交互作用。从方差分析中发现,二次多项式模型与实际数据拟合良好(R-2 = 0.9709)。响应表面分析表明,GAC剂量,初始pH值和反应时间比施加电流更具影响力,并且它们对COD去除效率具有轻微的相互依赖性或显着的相互作用。找到的最佳条件是施加的电流为354.3 mA,GAC剂量为47.1 g / L,初始pH值为5.4,反应时间为55分钟,从而获得了98.56 +/- 0.14%的COD去除效率。 (C)2015 Elsevier B.V.保留所有权利。

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