COD Removal of Coal Gasifier Effluent by Electro Coagulation and Optimization Using Response Surface Methodology

Volume 12 Issue 2 November - January 2017

Research Paper

COD Removal of Coal Gasifier Effluent by Electro Coagulation and Optimization Using Response Surface Methodology

Uma Shankar B.*, Chandana Lakshmi M.V.V.**, V. Sridevi***, Neelima Chandra Lekha L.****

* Postgraduate, Industrial Pollution Control Engineering, Andhra University, Andhra Pradesh, India.

**,*** Professor, Department of Chemical Engineering, Andhra University, Andhra Pradesh, India.

**** Assistant Professor, Department of Chemical Engineering, SVKR Engineering College, Andhra Pradesh, India.

Shankar, B.U., Lakshmi, M.V.V.C., Sridevi, V., and L. Neelima Chandra Lekha (2017). COD Removal of Coal Gasifier Effluent by Electro Coagulation and Optimization Using Response Surface Methodology. i-manager’s Journal on Future Engineering and Technology, 12(2), 9-15. https://doi.org/10.26634/jfet.12.2.10361

Abstract

Coal Gasification is considered as an ace technology compared to other non renewable energy producing technologies such as petroleum and natural gas. The effluent generated from coal gasification contains high amounts of organic and toxic compounds. The present work is focused on removal of COD from the Coal Gasifier effluent by Electro-Coagulation (EC) using Aluminium electrode. The purpose of this research is to reduce the pollution, which is generally caused by Coal Gasifier effluent. In the process of EC, metal cations are released into water through dissolving metal electrodes. Simultaneously, beneficial side reactions can remove flocculated material from the water, which is an advanced alternative for chemical coagulation and flocculation. The electrochemical reactor performance was analysed in batch reactor of the effluent having constant inter-electrodes distance. The effect of process parameters such as Electrolysis Time, pH, and Voltage on COD removal % was studied. During EC process, the optimum values of process parameters are found to be Electrolysis Time-60 min, pH-8, and Voltage-9 V. The parameters used in this experiment were optimized by using Response Surface Methodology. It has been observed that the predicted values are in good agreement with experimental values with a correlation coefficient of 0.998.