首页> 外文期刊>Polish Journal of Environmental Studies >Optimization of Turbidity and COD Removal from Pharmaceutical Wastewater by Electrocoagulation. Isotherm Modeling and Cost Analysis
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Optimization of Turbidity and COD Removal from Pharmaceutical Wastewater by Electrocoagulation. Isotherm Modeling and Cost Analysis

机译:电凝法优化制药废水中浊度和COD去除率的方法。等温线建模和成本分析

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The present work was conducted to optimize operating parameters for electrocoagulation treatment of a pharmaceutical effluent. Chemical oxygen demand (COD) and turbidity removals were monitored for each experiment since they are good indicators of wastewater quality The effects of three parameters such as pH (4-10), current density (i=20-80 mA/cm(2)), and time of reaction (t=10-30 min) were evaluated using a response surface methodology (RSM) and in particular a full factorial central composite face-centered (CCF) design. The obtained experimental data were fit to a second-order polynomial equation using multiple regressions and were also analyzed by variance analysis (ANOVA). The contour plots derived from the mathematical models were applied to determine the optimal conditions (pH of 5.31, current density of 46.83 mA/cm(2), and electrolysis time of 17.99 min). Under these conditions, the experimental COD and turbidity removals were found equal to 75.64 and 96.34%, respectively, which were in agreement with the values predicted by the models. The electrocoagulation mechanism was modeled using Freundlich and Dubinin-Radushkevich isotherms. The obtained results showed that the Freundlich isotherm correctly predicted the experimental data. Operating costs included energy and electrode consumption as performed for the process of treatment. It was noted that the general cost varied from 0.1053-2.8289 US$ for current densities ranging from 20-80 mA/cm(2) and electrolysis times from 10-30 min. Under optimal conditions, the general cost was found equal to 0.8113 US$/m(3).
机译:进行本工作以优化用于药物流出物的电凝处理的操作参数。由于它们是废水质量的良好指标,因此需要监测每个实验的化学需氧量(COD)和浊度去除率。这三个参数的影响如pH(4-10),电流密度(i = 20-80 mA / cm(2) )和反应时间(t = 10-30分钟)使用响应表面方法(RSM)进行评估,尤其是采用全因式中心复合材料面心(CCF)设计进行评估。使用多重回归将获得的实验数据拟合到二阶多项式方程,并通过方差分析(ANOVA)进行分析。应用数学模型得出的轮廓图确定最佳条件(pH为5.31,电流密度为46.83 mA / cm(2),电解时间为17.99分钟)。在这些条件下,实验的化学需氧量和浊度去除率分别等于75.64%和96.34%,与模型预测的值相符。使用Freundlich和Dubinin-Radushkevich等温线对电凝机制进行建模。获得的结果表明,弗氏等温线正确地预测了实验数据。运营成本包括用于处理过程的能量和电极消耗。需要注意的是,电流密度为20-80 mA / cm(2),电解时间为10-30分钟,一般成本在0.1053-2.8289美元之间。在最佳条件下,总成本等于0.8113美元/平方米(3)。

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