4.5 Article

Utilization of Response Surface Methodology in Electrocoagulation for Process Optimization and Parametric Analysis

期刊

CHEMBIOENG REVIEWS
卷 -, 期 -, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/cben.202300031

关键词

Box Behnken design; Electrocoagulation; Removal of pollutants; Response surface methodology; Wastewater treatment

向作者/读者索取更多资源

Electrocoagulation (EC) is a feasible treatment technique for wastewater treatment, and the use of response surface methodology (RSM) for process optimization and analysis of parameters can improve the efficiency. This review examines the application of RSM in wastewater treatment and describes the latest advancements in its implementation as part of an integrated system.
Electrocoagulation (EC) is a well-recognized and feasible treatment technique for wastewater treatment. The process optimization and analysis of process parameters of EC not only aid to scale up the EC process at an industrial level but also help to explore the economic and environmental considerations to achieve higher efficiency. Response surface methodology (RSM) is a prominent chemometric approach for both process optimization and evaluation of different factors for the removal of target pollutants from wastewater. This review provides a thorough examination of notable scholarly works that focus on the use of the RSM in EC for the purpose of wastewater treatment. Furthermore, the current advancements in implementing the RSM approach not only for standalone EC processes but also for the case are described where it is being practiced as a part in the integrating system for wastewater treatment. The implementation of response surface methodology (RSM) in electrocoagulation, used for treatment of industrial and synthetic wastewater, is reviewed. The main significance of RSM is to analyze the parametric effect on procedure and process optimization. Several parameters including temperature, electrode distance, pollutant concentration, and mixing speed were investigated in different water samples. image

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据