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Issue
Korean Journal of Chemical Engineering,
Vol.30, No.3, 664-670, 2013
Statistical optimization of chemical oxygen demand removal from wastewater by electrochemical oxidation
Kim D, Song Y, Park Y
The independent and combined effects of four variables (current density, electrolyte concentration, air flow rate and pH) on COD removal from wastewater by electrochemical oxidation were optimized using 24 full factorial experimental design. ANOVA was conducted to test the combined effects of the independent variables (the four control factors and time) on COD removal. To determine the reaction order of COD removal, 1st, 2nd or 3rd reaction orders were considered; 1st order kinetics showed the highest average r2 value. The backward elimination regression method was used to determine the 1st order kCOD equation, and main effects and 2-way interaction effects on the 1st order equation were investigated. Using this equation, kCOD values for the 16 experimental conditions were predicted and COD values were calculated with respect to time. Finally, we tried to determine optimal operating conditions using color and COD removal as endpoints using the multiple response surface method.
Keywords: Factorial Design; Reaction Rate Constant; COD Removal; Electrochemical Treatment; Multiple Response Surface Methodology
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[Cited By]
  1. Esfahani AR, Hojati S, Azimi A, Alidokht L, Khataee A, Farzadian M, Korean Journal of Chemical Engineering, 31(4), 630, 2014
  2. Khamforoush M, Asgari T, Hatami T, Dabirian F, Korean Journal of Chemical Engineering, 31(9), 1695, 2014
  3. Brahim MB, Ammar HB, Abdelhedi R, Samet Y, Korean Journal of Chemical Engineering, 33(9), 2602, 2016
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