Optimization of aluminium recovery from water treatment sludge using Response Surface Methodology

Ooi, Theam Yiew; Yong, Ee Ling; Din, Mohd Fadhil Md; Rezania, Shahabaldin; Aminudin, Eeydzah; Chelliapan, Shreeshivadasan; Rahman, Fuad; Park, Junboum

doi:10.1016/j.jenvman.2018.09.008

Cited by 76 publications

(30 citation statements)

References 35 publications

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“…The experimental factors and levels are shown in Table 2. In this experiment, the quadratic polynomial was used to fit the experimental data (Ooi et al, 2018;Zi et al, 2013):…”

Section: Response Surface Optimization Designmentioning

confidence: 99%

Recovery of vanadium and tungsten from spent selective catalytic reduction catalyst by alkaline pressure leaching

Liu¹,

Xu²,

Liu³

2020

Physicochem. Probl. Miner. Process.

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Improving the efficiency of precious metal recovery from spent Selective Catalytic Reduction (SCR) catalyst provides economic benefits and promises sustainable use of resources. Here we demonstrate highly efficient alkaline pressure leaching method for the extraction of vanadium (V) and tungsten (W) from spent SCR catalyst. We analyzed the effects of experimental parameters such as the stirring speed, leaching agent concentration, leaching temperature, liquid-to-solid ratio, and leaching time. The Box-Behnken design of experiments and the response surface methodology have been employed to understand the impact of the leaching parameters and the impact of their interactions on the leaching rate of V and W. The results showed that the leaching agent concentration significantly promoted the recovery of V and W; the influence of the reaction temperature and leaching time moderately increased the leaching rate of the metals. Moreover, the efficiency of the alkaline pressure leaching technique was determined by the interactions between leaching time and reaction temperature, and the relationships between reaction temperature and leaching agent concentration. By using the response surface methodology, the optimal leaching conditions were found that the leaching agent concentration was 4.75 mol×L-1, the leaching temperature was 190 °C, and the reaction time was 44.5 min, and the predicted values of V and W leaching rates were 95.76% and 98.36%, respectively. Based on the excellent fitting between modeling and experimental results demonstrated in this work, we conclude that our study can shed light on the development of highly efficient and sustainable metal recovery strategies for practical applications.

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“…The experimental factors and levels are shown in Table 2. In this experiment, the quadratic polynomial was used to fit the experimental data (Ooi et al, 2018;Zi et al, 2013):…”

Section: Response Surface Optimization Designmentioning

confidence: 99%

Recovery of vanadium and tungsten from spent selective catalytic reduction catalyst by alkaline pressure leaching

Liu¹,

Xu²,

Liu³

2020

Physicochem. Probl. Miner. Process.

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“…The adequacy of the model was checked using analysis of variance (ANOVA) and diagnostics nodes. Optimum leaching conditions for oxidative performance of Fenton process for landfill leachate treatment was gained by accomplishing mathematical optimization process coupled with the prestige method [30]. Table 2 describes the experimental and predicted values of COD removal efficiency.…”

Section: Methodsmentioning

confidence: 99%

Removal of COD from landfill leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process

et al. 2019

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M UNICIPAL Solid Waste (MSW) landfill leachate contains highly concentrated organic substances which are hazardous to the environment. Therefore, it must be treated before discharged into water bodies and suitable techniques are essential for effective treatment. In this regard, multiple linear regression (MLR) model has shown to be a favorable technique for optimization of landfill leachate treatment. In this study, four operational variables, H 2 O 2 :Fe 2+ ratio, pH, reaction time, and Fe 2+ concentration, were assessed using the model. The chemical oxygen demand (COD) removal was 96.43% by experiment, while the predicted assessment was 100% under the optimized settings; time = 33.87 min, concentration of Fe 2+ = 749.64 mg/L, pH = 3, and ratio of H 2 O 2 :Fe 2+ = 2 during Fenton treatment. The high value of the coefficient of determination, R 2 = 0.896, designates a resilient relationship between the experimental and model values. The residual study (residual plot) specified that the points were randomly distributed, confirming the appropriateness of the model. The MLR model established may possibly be used for assessment of other landfill leachate treatment.

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“…According to the analysis of variance, the P-value and F-value determined the signi cance of each term at the designed level of con dence. P-value below 0.05 indicates that the factor has a signi cant effect on the response values (Ooi et al, 2018). The P values of Eq.…”

Section: Optimization Of Operating Variables and Analysis Of Their Inmentioning

confidence: 99%

Hydrothermal-alkaline conversion of sewage sludge: Focus on optimization of process parameters and characterization of humic acid

Qiu

Xu²,

Wang³

et al. 2021

Preprint

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Sewage sludge (SS) dewatering is a key step in sludge disposal, which plays an important role in reducing sludge volume, facilitating transportation and subsequent treatment. In recent years, many studies have focused on sludge hydrothermal dewatering, while resource recovery during this process is less studied, especially humic substances. In this paper, a facile and low-cost hydrothermal-alkaline treatment for SS was proposed, which can be used for sludge dewatering and humic acid (HA) recycling at the same time. Response surface methodology (RSM) was used to determine the optimal conditions, and a mathematical model was established to accurately predict the change of sludge water content and the extraction rate of HA. Under the optimal conditions of 170 °C/42 min/0.05 (for hydrothermal temperature, hydrothermal time and mass ratio of KOH to wet sludge, respectively), the water content decreased to 46.7% and the extraction rate of HA (with a purity of 96.2%) was 89.1%. The improvement of the dewatering performance effectively facilitates the subsequent disposal of the sludge. The extraction of HA not only solves the problem that the sludge separation liquid needs further treatment, but also has potential economic value in agriculture, biological medicine, environment and other fields.

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Optimization of aluminium recovery from water treatment sludge using Response Surface Methodology

Cited by 76 publications

References 35 publications

Recovery of vanadium and tungsten from spent selective catalytic reduction catalyst by alkaline pressure leaching

Recovery of vanadium and tungsten from spent selective catalytic reduction catalyst by alkaline pressure leaching

Removal of COD from landfill leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process

Hydrothermal-alkaline conversion of sewage sludge: Focus on optimization of process parameters and characterization of humic acid

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