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

被引:2
|
作者
Akhtar, Adnan [1 ]
Suleman, Malik Shoaib [1 ]
Gillani, Syed Muzammil Awais [1 ]
Aslam, Zaheer [2 ]
机构
[1] Sharif Coll Engn & Technol, Dept Chem Engn, Lahore 55150, Pakistan
[2] Univ Engn & Technol, Dept Chem Engn, Lahore 54000, Pakistan
关键词
Box Behnken design; Electrocoagulation; Removal of pollutants; Response surface methodology; Wastewater treatment; WASTE-WATER TREATMENT; LANDFILL LEACHATE; DYE REMOVAL; OPERATING PARAMETERS; PHOTOCATALYTIC DEGRADATION; ELECTROCHEMICAL TREATMENT; ELECTRO-COAGULATION; INDUSTRY EFFLUENT; OIL REMOVAL; COD REMOVAL;
D O I
10.1002/cben.202300031
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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
引用
收藏
页码:136 / 152
页数:17
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