Modeling and kinetics study of acid anthraquinone oxidation using ozone: energy consumption analysis

Kordkandi, Salman Alizadeh; Ashiri, Rasoul

doi:10.1007/s10098-015-0967-0

Cited by 16 publications

(6 citation statements)

References 33 publications

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“…Contrary the ANN, which can process the corresponded equations in a simple way, numerical models need sophisticated parallel processing technique to solve a group of equations. However, the technique suffers from several drawbacks including its black box nature, greater computational burden, proneness to over‐fitting, and empirical nature of model development . As shown in Figure , Multi‐layer Feed Forward (MLF) as an appropriate type of training process was chosen over the trial and error strategy.…”

Section: Methodsmentioning

confidence: 99%

“…The importance of the second step is attributed to the high accuracy level of k app , which can identify the optimum points of operational parameters. In our previous study, we showed that there is a close relationship between k app and the electrical energy consumption . Therefore, by introducing the optimum values of k app with high accuracy for peroxone reaction, the net energy demand for the process would be optimized hierarchically.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of peroxone reaction rate using metaheuristic approach in the dearomatization and discoloration process

Kordkandi

Motlagh

2017

Env Prog and Sustain Energy

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The main objective of this research focused on the optimization of apparent reaction rate constants (kapp) for degradation of a diazo compound, reactive yellow 42 (RY42) using peroxone reaction. Artificial Neural Network (ANN) was adopted to evaluate the effects of initial RY42 concentration, influent ozone mass flow rate, initial ozone (O3)/peroxide hydrogen ratio (H2O2), and pH on the discoloration rate constant. A proposed model by ANN was chosen after analysis of the topology based on R‐square (R2) and mean squared error (MSE) criteria followed by coupling the obtained best net with a novel evolutionary algorithm named Cuckoo Optimization Algorithm (COA). Although the relative importance of pH and O3/H2O2 on kapp was at the same level (about 18%), initial dye concentration (34%), and influent ozone mass flow rate (30%) were the most important factors. A systematic ANN‐COA approach indicated that the optimum values of pH and O3/H2O2 for 150 mg L−1 of RY42 were 7.5 and 1.44 L h−1, respectively, resulted in relatively different kapp for decolorization (0.18 min−1) and dearomatization (0.056 min−1). To confirm the validity of kinetic analysis, the predicted values were correlated with experimental values, which indicated the high degree of accuracy (R2= 0.98) for optimization of the peroxone process. This research with the experimental and modeling studies can be used as a guide for the design of full‐scale treatment processes for various types of industrial wastewater containing aromatic compounds with diazo groups. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 695–702, 2018

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of peroxone reaction rate using metaheuristic approach in the dearomatization and discoloration process

Kordkandi

Motlagh

2017

Env Prog and Sustain Energy

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“…In order to determine optimum number of neurons in the hidden layer, different numbers of neurons (from 2 to 22) were examined. Each topology was repeated ten times to avoid random correlation due to the random initialization of the weights [27]. Maximizing the accuracy may lead to minimize error on training data with possible risk of over-fitting.…”

Section: Ann Modelmentioning

confidence: 99%

Comparing new perspective of hybrid approach and conventional kinetic modelling techniques of a submerged biofilm reactor performance

Kordkandi

Berardi

2015

Biochemical Engineering Journal

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“…These PPCPs are increasingly common in sewage effluent or in the environment because they cannot be removed by conventional wastewater treatment methods [5][6][7][8]. The removal of PPCPs from wastewater streams is an active area of research [9,10].…”

Section: Introductionmentioning

confidence: 99%

Preparation of Flexible TiO<sub>2</sub>/zeolite Composite Sheets for Removal of Sulfamethazine from Wastewater Using Papermaking Technique

Fukahori

Fujiwara

2019

J. of Wat. & Envir. Tech.

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Flexible composite sheets consisting of TiO 2 , zeolite, and organic polyethylene terephthalate (PET) fibers were prepared using papermaking techniques, and its strength, durability, and performance in removing sulfonamide from water were evaluated. TiO 2 and zeolite powder were successfully incorporated into the sheet with high retention and a flexible, easy-to-handle, sheet-like TiO 2 /zeolite composite was obtained. The composite sheet is durable enough for wastewater treatment due to the inclusion of heat fusible PET fibers as a supporting matrix. The wet strength of the composite sheet was enhanced with increasing the amount of heat fusible PET fibers or drying temperature. Infrared spectroscopy revealed that the sheet strength and the integrity of the PET fibers were unaffected by exposure to ultraviolet (UV) irradiation. The TiO 2 /zeolite composite sheet removed sulfamethazine from water by adsorption and photocatalytic degradation and its performance was also unaffected by UV exposure.

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Modeling and kinetics study of acid anthraquinone oxidation using ozone: energy consumption analysis

Cited by 16 publications

References 33 publications

Optimization of peroxone reaction rate using metaheuristic approach in the dearomatization and discoloration process

Optimization of peroxone reaction rate using metaheuristic approach in the dearomatization and discoloration process

Comparing new perspective of hybrid approach and conventional kinetic modelling techniques of a submerged biofilm reactor performance

Preparation of Flexible TiO<sub>2</sub>/zeolite Composite Sheets for Removal of Sulfamethazine from Wastewater Using Papermaking Technique

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