Electrocoagulation Treatment of Petroleum Refinery Wastewater: Optimization through RSM

GIWA, Saidat Olanipekun and GIWA, Abdulwahab and Zeybek, Zehra and Hapoglu, Hale (2013) Electrocoagulation Treatment of Petroleum Refinery Wastewater: Optimization through RSM. Electrocoagulation Treatment of Petroleum Refinery Wastewater: Optimization through RSM, 2 (8). pp. 606-615. ISSN 2278-0181

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Abstract

The optimization of the electrocoagulation process used to accomplish the treatment of a turbid petroleum refinery wastewater has been carried out in this work.The turbidity removal and the operating cost of the process were chosen as the response (dependent) variables whilethe current density, the initial wastewater conductivity, the initial pH and the electrolysis time were selected as the input (independent) variables. A set of 30 experimental runs were designed using Central Composite Design of Response Surface Methodology. The designed experiments were run in the experimental setup of the process from where the data used for model development were obtained. The developed models were, thereafter, analyzed and optimized to obtain the optimum values of the electrocoagulation system. The results obtained revealed that the turbidity removal and the operating cost were largely affected by the current density and the electrolysis time. Also, the analyses of variance (ANOVA) of the models showed that the developed models for the turbidity removal and the operating cost were significant with p-values of 0.0003 and less than 0.0001, respectively. In addition, the estimated optimum conditions of the treatment system were 9.9 mA/cm2, 5 mS/cm, 9 and 18 min for the current density, the conductivity, the pH and the electrolysis time, respectively. Using the estimated optimum values to run the experimental system, 96.94% of turbidity and 78.77% of chemical oxygen demand (COD) removals were achieved at the operating cost of 0.654 US$/m3.

Item Type: Article
Uncontrolled Keywords: Electrocoagulation, Petroleum refinery wastewater, Optimization, Response Surface Methodology (RSM), Central Composite Design, ANOVA.
Subjects: T Technology > TP Chemical technology
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Mr Tayo Okunlola
Date Deposited: 22 Dec 2015 09:11
Last Modified: 22 Dec 2015 09:11
URI: http://eprints.abuad.edu.ng/id/eprint/455

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