Page 206 - C:\Users\am_se\OneDrive - Higher Education Commission\Desktop\FlipBook\
P. 206

International Conference on

                                  Recent Trends in Environmental Sustainability


                                                    ESCON22/NMsB/45
               Techno-economical optimization of RB 19 dye removal by electro-Fenton processes
               using carbon-felt cathode and DSA-O2 (Ti/ IrO2–Ta2O5) anode

               Hammad Khan1*, Muhammad Amad Ud Din1, Sajjad Hussain1, Javaid Rabbani Khan1,
               Saima Gul2
               1Faculty of Materials and Chemical Engineering, GIK Institute of Engineering Sciences and
               Technology, Topi, Swabi, KP
               2Department of Chemistry, Islamia College Peshawar, Post Box 25120, Pakistan

               Correspondence: hammad@giki.edu.pk

               Abstract

               Textile  effluents  comprises  complex  organic  pollutants,  synthetic  dyes,  and  other  toxic
               chemicals and such untreated discharge into the water bodies, originate severe problems in
               environment and human health. The conventional processes are deficient for complete removal
               of  such  persistent  pollutants,  therefore  utilizing  the  advance  oxidation  processes  such  as
               Electro-Fenton  (EF)  might  be  helpful  in  reducing,  removing,  and  transforming  of  such
               persistent pollutants. In the EF system, the electrode combination (DSA-O2 (Ti/IrO2-Ta2O5)
               anode  and  carbon  felt  cathode)  were  employed  to  degrade  the  model  dye  RB-19.  The
               determination  of  appropriate  condition  using  conventional  one  factor  at  a  time  (OFAT)
               optimization process is uneconomic and inoperative due to having large experimental runs and
               lack of precision. This study exploits the statistical and AI based methods for multivariate
               analysis of various factors on the cost-effective degradation performance of RB-19. Response
               surface methodology (RSM) and Artificial Neural Network (ANN) combined with genetic
               algorithm (GA) were employed to model the relationship between four predictors comprising
               voltage, initial electrolyte concentration, initial FeSO4 concentration and treatment time and
               the two responses (i.e., RB-19 degradation efficiency and energy consumption) in the given
               design space. The maximized degradation efficacy at least energy consumption was seen when
               voltage, initial electrolyte concentration, initial FeSO4 concentration and treatment time were
               maintained at 5.77v, 10.75 mM, 0.41mM and 34.45 min, respectively, for 87.15 % @ 0.458
               Wh. Sensitivity analysis showed RB-19 degradation performance is strongly dependent on
               reaction  time,  while  the  order  of  significance  on  RB-19  degradation  was  found  to  time>
               electrolyte>FeSO4>voltage.  This  work  validates  the  employing  of  such  combination  of
               electrodes in EF process for the wastewater decolorization at least energy consumption and
               also spell out the probability of optimizing and predicting the decontamination process utilizing
               the RSM & ANN approach.

               Keywords: dye; wastewater; degradation; decontamination















                 Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus

                                                           173
   201   202   203   204   205   206   207   208   209   210   211