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PublicationThe Potential of Hybrid Polymer in Treating Textile Wastewater: Optimization of pH and Dosage Using Response Surface Methodology( 2023)The study aimed to evaluate the effectiveness of hybrid polymer ZOPAT compared to single polymers in treating textile wastewater. The research analyzed reduction of color, chemical oxygen demand (COD), turbidity, and suspended solids using jar testing. Response Surface Methodology (RSM) was employed to optimize the treatment, analyze variance, and create pertur-bation and desirability plots for multiple responses. The storage conditions of the hybrid polymer were also investigated. The results showed that ZOPAT was highly effective in reducing color, with a 93% reduction compared to other treatments. Additionally, turbidity and suspended solids were reduced by 100%, and COD was reduced by up to 80%. The RSM multi-response outcome showed a desirability plot of 0.592. The hybrid polymer required only 17.5 min for coagulation treatment, while the other treatments re-quired more than 40 min to achieve maximum effectiveness. The validation test showed that the optimization model’s error rate was less than 1%. The study recommended that hybrid polymer solutions be stored in a cold room for up to 20 days to maintain consistency. The findings suggest that hybrid polymer is a highly effective coagulant for treating textile wastewater, with significant reductions in color, turbidity, and suspended solids. The use of RSM allowed for the optimization of the treatment, and the storage conditions were determined to ensure consistent results over time. Overall, the study’s results have significant implications for the water treatment industry, with potential applications in treating wastewater in other industries.
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PublicationAssessment of Hydrogen-Rich Syngas From Biogas Using Aspen HYSYS( 2023)This study aims to compare and assess the quality of two biogas reforming processes: steam reforming of biogas (SRB) and tri-reforming of biogas (TRB). SRB if the conventional method of producing hydrogen efficiently. TRB, on the other hand, is a relatively new innovative way to achieve higher hydrogen yield at less energy expense and lower carbon dioxide (CO2) production. Both processes still have room for improvement, so optimizations should be considered to attain higher hydrogen yields and assess the effectiveness of both processes. The process simulation and sensitivity analysis were carried out using chemical process simulator (CPS), Aspen HYSYS, and its built-in sensitivity analysis tool. Direct comparisons of the results and evaluations of specific parameters targeted in the sensitivity analysis were then conducted, where the effects of changing molar ratio, temperature, and pressure were analyzed. The conversion of methane, conversion of CO2, ratio of hydrogen to carbon monoxide (CO) produced, and hydrogen yield were also calculated. Since this study was only simulated on Aspen HYSYS, the results should be taken as an estimation of the processes under ideal conditions. The results lack chemical analysis and are limited to the software’s mathematical and computational abilities. However, the sensitivity analysis obtained decent correlation with literature and recorded trends that showed the feasibility of SRB and TRB in industrial conditions.
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