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http://dx.doi.org/10.4491/eer.2018.216

Optimization of photo-catalytic degradation of oil refinery wastewater using Box-Behnken design  

Tetteh, Emmanuel Kweinor (Faculty of Engineering and the Built Environment, Department of Chemical Engineering, Durban University of Technology)
Naidoo, Dushen Bisetty (Faculty of Engineering and the Built Environment, Department of Chemical Engineering, Durban University of Technology)
Rathilal, Sudesh (Faculty of Engineering and the Built Environment, Department of Chemical Engineering, Durban University of Technology)
Publication Information
Environmental Engineering Research / v.24, no.4, 2019 , pp. 711-717 More about this Journal
Abstract
The application of advanced oxidation for the treatment of oil refinery wastewater under UV radiation by using nanoparticles of titanium dioxide was investigated. Synthetic wastewater prepared from phenol crystals; Power Glide SAE40 motor vehicle oil and water was used. Response surface methodology (RSM) based on the Box-Behnken design was employed to design the experimental runs, optimize and study the interaction effects of the operating parameters including catalyst concentration, run time and airflow rate to maximize the degradation of oil (SOG) and phenol. The analysis of variance and the response models developed were used to evaluate the data obtained at a 95% confidence level. The use of the RSM demonstrated the graphical relationship that exists between individual factors and their interactive effects on the response, as compared to the one factor at time approach. The obtained optimum conditions of photocatalytic degradation are the catalyst concentration of 2 g/L, the run time of 30 min and the airflow rate of 1.04 L/min. Under the optimum conditions, a 68% desirability performance was obtained, representing 81% and 66% of SOG and phenol degradability, respectively. Thus, the hydrocarbon oils were readily degradable, while the phenols were more resistant to photocatalytic degradation.
Keywords
Box-Behnken design; Oil refinery; Photocatalytic degradation; Response surface methodology; $TiO_2$;
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