APPLICATION OF RESPONSE SURFACE METHODOLOGY (RSM) - REDUCTION OF INDUSTRIAL WASTEWATER CHEMICAL OXYGEN DEMAND
Emmanuel Kweinor Tetteh () and
Sudesh Rathilal ()
Additional contact information
Emmanuel Kweinor Tetteh: Faculty of Engineering and the Built Environment, Durban University of Technology
Sudesh Rathilal: Faculty of Engineering and the Built Environment, Durban University of Technology
CBU International Conference Proceedings, 2017, vol. 5, issue 0, 1226-1232
Abstract:
Industrial waste oil in water from oil refineries and petrochemical processing poses a major environmental concern. Environmental pollution from these wastewaters is increasing and will continue to rise due to a growing demand for petrochemical products and energy. The composition of these industrial wastes varies from location to location as well as with manufacturing processes. In terms of water quality issues, chemical oxygen demand is considered one of the most problematic in oil refinery wastewater treatment. This study applies the response surface methodology to obtain a response model for industrial wastewater treatment. Operating parameters are optimized to enhance the treatment performance. The study, focusing on the effects of input variables for chemical oxygen demand removal, was experimentally carried out using dissolved air floatation jar tests. The experimental matrix incorporated the Box-Behnken design in the response surface methodology. In addition, the procedure evaluated the effect of the input variables and their interactions to obtain the optimum condition for the extent of efficiency. The results show that the chemical oxygen demand removal was sensitive to the effect of the input variables and their interactions. The statistical analysis established that the quadratic model was highly significant with a low probability (< 0.0001), indicating that the correlated regression scattering was unlikely random. The predicted model results corresponded well to the experimental results, with a coefficient of determination close to 1.0. The response surface of the model is presented in three-dimensional plots. These study results show that the addition of a coagulant to remove chemical oxygen demand is effective under acidic conditions when response surface methodology is applied.
Keywords: Chemical oxygen demandCOD; design of experiment; DOE; response surface methodology; RSM (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ojs.journals.cz/index.php/CBUIC/article/view/1101/1652 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aad:iseicj:v:5:y:2017:i:0:p:1226-1232
DOI: 10.12955/cbup.v5.1101
Access Statistics for this article
More articles in CBU International Conference Proceedings from ISE Research Institute
Bibliographic data for series maintained by Petr Hájek ().