Title :

Photocatalytic Degradation of Industrial Dye in Semi-Pilot Scale Prototype Solar Photoreactor: Optimization and Modeling Using ANN and RSM Based on Box-Wilson Approach

Author(s) :

Berkani, M. [Auteur]
Bouchareb, M. K. [Auteur]
Bouhelassa, M. [Auteur]
Kadmi, Yassine [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement - UMR 8516 [LASIRE]
Université d'Artois [UA]

Journal title :

Topics in Catalysis

Abbreviated title :

Top. Catal.

Volume number :

-

Publication date :

2020-07-25

ISSN :

1022-5528

English keyword(s) :

central composite design
Artificial neural network
Response surface methodology
Optimization
Azo dye
Photocatalysis

HAL domain(s) :

Chimie

English abstract : [en]

Photodegradation of an industrial Azo dye C.I Basic Red 46, was examined in a semi-pilot scale prototype solar photoreactor under solar radiation. In our study, photodegradation of the dye was optimized using Response ...
Show more >Photodegradation of an industrial Azo dye C.I Basic Red 46, was examined in a semi-pilot scale prototype solar photoreactor under solar radiation. In our study, photodegradation of the dye was optimized using Response Surface Methodology (RSM) based on Box-Wilson approach. The Artificial Neural Network (ANN) was used to establish suitable modeling and optimal conditions for the Solar UV/Immobilized-TiO2 process in order to evaluate the individual effects of three factors that independently affect the effectiveness of the photodegradation process: (1) initial concentration of the dye, (2) pH, and (3) flow rate. The RSM was in good agreement with the prediction model (R2Dec = 0.95); meanwhile, the ANN approach revealed that the predicated model fit perfectly with the experimental data to yield the highest value of R2 = 0.999. The effects of these three factors could be estimated from a second-order polynomial equation, and the optimal parameters of photodegradation consisted of three main parameters: (1) initial concentration of colorant 10.65 mg.L−1, (2) pH 10.82, and (3) rate of fluid flow of 852 L h−1. The decolorization removal efficiency under these optimal conditions was 99%.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS

Collections :

• Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516

Submission date :

2024-02-28T23:21:21Z
2024-03-12T09:55:00Z