Performance and modeling of UV/persulfate/Ce(IV) process as a dual oxidant photochemical treatment system: Kinetic study and operating cost estimation

Soleymani, Ali Reza; Moradi, Mohammad

doi:10.1016/j.cej.2018.04.093

Cited by 31 publications

(6 citation statements)

References 40 publications

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“…To simulate the process, a comprehensive model was needed to describe the variation of pollutant concentration over time under specific conditions (Soleymani & Moradi, 2018). As described in previous sections, photooxidative removal of AR 14 was a function of initial S 2 O 8 2− concentration, initial dye concentration, temperature, pH and UV lamp distance.…”

Section: Resultsmentioning

confidence: 99%

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Mathematical model evaluating for degradation of azo dye in contaminated water by UV/persulfate process

DoustMohamadi

Vahedpour

Rasoulifard

et al. 2022

Water & Environment J

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In the present study, the photooxidative degradation of Acid Red 14 (AR 14) was investigated in the UV/persulfate process, and the results of the degradation rate of AR 14 were parametrically represented by ordinary differential equations to find mathematical model for the degradation rate of AR 14 in this process. Our experimental observations led to a model for AR 14 degradation in the UV/persulfate system that could be used to predict removal efficiency by changes of S 2 O 8 2À (X 1 ) and dye concentration (X 2 ), pH (X 3 ), temperature (X 4 ) and also distance of UV lamp from solution (X 5 ). It was found that persulfate and dye concentrations were the most important parameters for AR 14 degradation rate. Moreover, the results showed that the degradation rate was in good agreement with the first-order kinetics for all the parameter values studied. Moreover, the results of the mathematical model agree well with the experimental values (R 2 = 0.96). Our findings in this study showed that degradation efficiency of UV/S 2 O 8 2À process for AR 14 was obtained as 98%. Therefore, this model could be applicable before scaling up the AR 14 degradation using UV/persulfate process.

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Section: Resultsmentioning

confidence: 99%

Section: Development Of Rate Equationsmentioning

confidence: 99%

Mathematical model evaluating for degradation of azo dye in contaminated water by UV/persulfate process

DoustMohamadi

Vahedpour

Rasoulifard

et al. 2022

Water & Environment J

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“…Additionally, SO4• − can be transformed into HO• in the aqueous solution according to Equation (10). This reaction is significantly dependent on the pH of the water to be treated, since a further conversion and, subsequently, a higher number of HO• are produced at basic pH values (Equation 11) [52,53]. When a transition metal with a lower valence is used as an activating agent, the O-O bonds of PS anions can break, and SO 4 • − are generated (Equations ( 3) and ( 4)).…”

Section: Fundamentalsmentioning

confidence: 99%

Section: Fundamentalsmentioning

confidence: 99%

Advanced Oxidation Processes Based on Sulfate Radicals for Wastewater Treatment: Research Trends

Urán-Duque

Saldarriaga-Molina

Rubio-Clemente

2021

Water

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In this work, the recent trends in the application of the sulfate radical-based advanced oxidation processes (SR-AOPs) for the treatment of wastewater polluted with emerging contaminants (ECs) and pathogenic load were systematically studied due to the high oxidizing power ascribed to these technologies. Additionally, because of the economic benefits and the synergies presented in terms of efficiency in ECs degradation and pathogen inactivation, the combination of the referred to AOPs and conventional treatments, including biological processes, was covered. Finally, the barriers and limitations related to the implementation of SR-AOPs were described, highlighting the still scarce full-scale implementation and the high operating-costs associated, especially when solar energy cannot be used in the oxidation systems.

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“…This model can predict the color removal rate under different experimental conditions. Researchers pointed out that ANN has good prospects for the prediction of complex systems [17,18]. Belkacem et al [19] applied a backpropagation artificial neural network (BP–ANN) prediction of oxytetracycline removal in an electro-oxidation system, which chose 14 nodes from the hidden layer, the LM (Levenberg-Marquardt)algorithm, the logsig transfer function of the hidden layer, and the purelin transfer function of the output layer.…”

Section: Introductionmentioning

confidence: 99%

BP–ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System

Mei

Yang

et al. 2019

IJERPH

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Electro-oxidation is an effective approach for the removal of 2-chlorophenol from wastewater. The modeling of the electrochemical process plays an important role in improving the efficiency of electrochemical treatment and increasing our understanding of electrochemical treatment without increasing the cost. The backpropagation artificial neural network (BP–ANN) model was applied to predict chemical oxygen demand (COD) removal efficiency and total energy consumption (TEC). Current density, pH, supporting electrolyte concentration, and oxidation–reduction potential (ORP) were used as input parameters in the 2-chlorophenol synthetic wastewater model. Prediction accuracy was increased by using particle swarm optimization coupled with BP–ANN to optimize weight and threshold values. The particle swarm optimization BP–ANN (PSO–BP–ANN) for the efficient prediction of COD removal efficiency and TEC for testing data showed high correlation coefficient of 0.99 and 0.9944 and a mean square error of 0.0015526 and 0.0023456. The weight matrix analysis indicated that the correlation of the five input parameters was a current density of 18.85%, an initial pH 21.11%, an electrolyte concentration 19.69%, an oxidation time of 21.30%, and an ORP of 19.05%. The analysis of removal kinetics indicated that oxidation–reduction potential (ORP) is closely correlated with the chemical oxygen demand (COD) and total energy consumption (TEC) of the electro-oxidation degradation of 2-chlorophenol in wastewater.

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Performance and modeling of UV/persulfate/Ce(IV) process as a dual oxidant photochemical treatment system: Kinetic study and operating cost estimation

Cited by 31 publications

References 40 publications

Mathematical model evaluating for degradation of azo dye in contaminated water by UV/persulfate process

Mathematical model evaluating for degradation of azo dye in contaminated water by UV/persulfate process

Advanced Oxidation Processes Based on Sulfate Radicals for Wastewater Treatment: Research Trends

BP–ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System

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