Emerging trends in sequencing batch reactor operation and enhancement for improved phenol removal

Elnakar, Haitham; Khan, Muhammad Faizan; Ismail, Usman M.

doi:10.1016/j.dwt.2024.100310

Cited by 3 publications

(1 citation statement)

References 79 publications

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“…Greywater treatment technologies encompass a range of methods designed to purify water from household sources, excluding toilet waste, making it suitable for reuse. Common approaches include biological treatments, filtration, sedimentation, and chemical coagulation, each with its specific utility and limitations based on the greywater's composition and the desired quality of the treated water 6 – 8 . Electrocoagulation (EC) stands out among these methods due to its versatility and efficiency 9 , 10 .…”

Section: Introductionmentioning

confidence: 99%

Optimization of iron electrocoagulation parameters for enhanced turbidity and chemical oxygen demand removal from laundry greywater

Tabash,

Elnakar,

Khan

2024

Sci Rep

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This study explores the optimization of iron electrocoagulation for treating laundry greywater, which accounts for up to 38% of domestic greywater. Characterized by high concentrations of surfactants, detergents, and suspended solids, laundry greywater presents complex challenges for treatment processes, posing significant environmental and health risks. Utilizing response surface methodology (RSM), this research developed a second-order polynomial regression model focused on key operational parameters such as the area-to-volume ratio (A/V), current density, electrolysis time, and settling time. Optimal treatment conditions were identified: an A/V ratio of 30 m2/m3, a current density of 10 mA/cm2, an electrolysis duration of 50 min, and a settlement period of 12 h. Under these conditions, exceptional treatment outcomes were achieved, with turbidity removal reaching 94.26% and COD removal at 99.64%. The model exhibited high effectiveness for turbidity removal, with an R2 value of 94.16%, and moderate effectiveness for COD removal, with an R2 value of 75.90%. The interaction between the A/V ratio and electrolysis time particularly underscored their critical role in electrocoagulation system design. Moreover, these results highlight the potential for optimizing electrocoagulation parameters to adapt to daily fluctuations in greywater production and meet specific household reuse needs, such as toilet flushing. This tailored approach aims to maximize contaminant separation and coagulant efficiency, balance energy use and operational costs, and contribute to sustainable water management.

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Section: Introductionmentioning

confidence: 99%

Optimization of iron electrocoagulation parameters for enhanced turbidity and chemical oxygen demand removal from laundry greywater

Tabash,

Elnakar,

Khan

2024

Sci Rep

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Accurate prediction and intelligent control of COD and other parameters removal from pharmaceutical wastewater using electrocoagulation coupled with catalytic ozonation process

Li,

Jia

et al. 2024

Water Environment Research

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In this study, we employed the response surface method (RSM) and the long short‐term memory (LSTM) model to optimize operational parameters and predict chemical oxygen demand (COD) removal in the electrocoagulation‐catalytic ozonation process (ECOP) for pharmaceutical wastewater treatment. Through RSM simulation, we quantified the effects of reaction time, ozone dose, current density, and catalyst packed rate on COD removal. Then, the optimal conditions for achieving a COD removal efficiency exceeding 50% were identified. After evaluating ECOP performance under optimized conditions, LSTM predicted COD removal (56.4%), close to real results (54.6%) with a 0.2% error. LSTM outperformed RSM in predictive capacity for COD removal. In response to the initial COD concentration and effluent discharge standards, intelligent adjustment of operating parameters becomes feasible, facilitating precise control of the ECOP performance based on this LSTM model. This intelligent control strategy holds promise for enhancing the efficiency of ECOP in real pharmaceutical wastewater treatment scenarios.Practitioner Points This study utilized the response surface method (RSM) and the long short‐term memory (LSTM) model for pharmaceutical wastewater treatment optimization. LSTM predicted COD removal (56.4%) closely matched experimental results (54.6%), with a minimal error of 0.2%. LSTM demonstrated superior predictive capacity, enabling intelligent parameter adjustments for enhanced process control. Intelligent control strategy based on LSTM holds promise for improving electrocoagulation‐catalytic ozonation process efficiency in pharmaceutical wastewater treatment.

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Hexavalent chromium adsorption from aqueous solution utilizing activated carbon developed from Rumex abyssinicus

Abewaa,

Arka,

Haddis

et al. 2024

Results in Engineering

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Emerging trends in sequencing batch reactor operation and enhancement for improved phenol removal

Cited by 3 publications

References 79 publications

Optimization of iron electrocoagulation parameters for enhanced turbidity and chemical oxygen demand removal from laundry greywater

Optimization of iron electrocoagulation parameters for enhanced turbidity and chemical oxygen demand removal from laundry greywater

Accurate prediction and intelligent control of COD and other parameters removal from pharmaceutical wastewater using electrocoagulation coupled with catalytic ozonation process

Hexavalent chromium adsorption from aqueous solution utilizing activated carbon developed from Rumex abyssinicus

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