Electro-Fenton oxidation of coking wastewater : optimization using the combination of central composite design and convex optimization method

The electro-Fenton treatment of coking wastewater was evaluated experimentally in a batch electrochemical reactor. Based on central composite design coupled with response surface methodology, a regression quadratic equation was developed to model the total organic carbon (TOC) removal efficiency. Th...

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Veröffentlicht in:Environmental technology. - 1998. - 38(2017), 19 vom: 03. Okt., Seite 2456-2464
1. Verfasser: Zhang, Bo (VerfasserIn)
Weitere Verfasser: Sun, Jiwei, Wang, Qin, Fan, Niansi, Ni, Jialing, Li, Weicheng, Gao, Yingxin, Li, Yu-You, Xu, Changyou
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:Environmental technology
Schlagworte:Journal Article Electro-Fenton central composite design coking wastewater convex optimization method optimization Coke Waste Water Hydrogen Peroxide BBX060AN9V mehr... Iron E1UOL152H7
Beschreibung
Zusammenfassung:The electro-Fenton treatment of coking wastewater was evaluated experimentally in a batch electrochemical reactor. Based on central composite design coupled with response surface methodology, a regression quadratic equation was developed to model the total organic carbon (TOC) removal efficiency. This model was further proved to accurately predict the optimization of process variables by means of analysis of variance. With the aid of the convex optimization method, which is a global optimization method, the optimal parameters were determined as current density of 30.9 mA/cm2, Fe2+ concentration of 0.35 mg/L, and pH of 4.05. Under the optimized conditions, the corresponding TOC removal efficiency was up to 73.8%. The maximum TOC removal efficiency achieved can be further confirmed by the results of gas chromatography-mass spectrum analysis
Beschreibung:Date Completed 05.01.2018
Date Revised 07.12.2022
published: Print-Electronic
Citation Status MEDLINE
ISSN:1479-487X
DOI:10.1080/09593330.2016.1265591