Conditional Optimization for Treatment of Wastewater from Ethanol Production Process Using Ozonation
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Abstract
This study aimed to determine the optimal conditions for removing COD and color from ethanol production effluent using the ozonation process. The investigation employed Response Surface Methodology (RSM) with a Central Composite Design (CCD) model, focusing on two key variables: ozone dosage rate (900, 1,200, and 1,500 mg/hr) and contact time (60, 90, and 120 minutes). The results showed that the highest COD and color removal efficiencies—63.32±1.28% and 75.65±1.42%, respectively—were achieved at an ozone dosage of 1,500 mg/hr and a contact time of 120 minutes. Based on the ANOVA statistical analysis of the treatment results, the Quadratic Model and the Linear Model were found to be suitable for describing the relationship between the variables (ozone dosage rate and contact time) and the COD and color removal efficiencies of effluent from a UASB tank, which is the wastewater after preliminary treatment, using the ozonation process. According to the model, the optimal conditions for maximum treatment efficiency were an ozone dosage rate of 1,500 mg/hr and a contact time of 116.881 minutes, which predicted COD and color removal efficiencies of 63.99% and 75.79%, respectively. To validate these findings, a series of experiments was conducted under the recommended optimal conditions. The average COD removal efficiency observed was 62.99±0.68%, which closely aligns with the model prediction, with a deviation of only 1.60%. Similarly, the average color removal efficiency was 73.22±0.62%, showing a minor deviation of 3.51% from the predicted value. These results confirm the reliability and suitability of the CCD model in optimizing the ozonation process for treating effluent from ethanol production.
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References
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