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Development of electrocoagulation process for wastewater treatment: optimization by response surface methodology.
Million Ebba1, Perumal Asaithambi1, Esayas Alemayehu1,2
1Department of Water Supply and Environmental Engineering, Faculty of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, Po Box - 378, Jimma, Ethiopia.
Heliyon
|May 20, 2022
Summary
Electrocoagulation (EC) effectively removes pollutants like color, COD, and turbidity from wastewater. Optimization of parameters like pH and current achieved high removal efficiencies, demonstrating EC
Area of Science:
- Environmental Engineering
- Water Treatment Technologies
- Electrochemistry
Background:
- Wastewater treatment is critical for environmental protection.
- Electrocoagulation (EC) offers a promising method for pollutant removal.
- Hospital wastewater presents unique treatment challenges due to its complex pollutant profile.
Purpose of the Study:
- To optimize electrocoagulation operational parameters for hospital wastewater treatment.
- To determine the impact of various factors on pollutant removal efficiency and energy consumption.
- To establish optimal conditions for maximum pollutant removal and minimum energy usage.
Main Methods:
- Experimental investigation of electrocoagulation using aluminum electrodes.
- Systematic variation of parameters: pH, current, electrode distance, electrolyte concentration, and electrolysis time.
- Application of Central Composite Design (CCD) and Analysis of Variance (ANOVA) for process optimization and modeling.
Main Results:
- High removal efficiencies achieved: 92.30% for color, 95.28% for COD, and 83.33% for turbidity.
- Optimal conditions identified as pH 7.5, current 0.09A, electrolyte concentration 3g/L, electrode distance 2 cm, and reaction time 60 min.
- Quadratic model successfully predicted removal efficiencies and energy consumption, with significant variable interactions identified.
Conclusions:
- Electrocoagulation is a viable and efficient technology for treating hospital wastewater.
- Optimized EC parameters significantly enhance pollutant removal and minimize energy consumption.
- The study provides a data-driven approach for applying EC to diverse industrial effluents.
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