Systematic optimization approach for the efficient management of the photo-Fenton treatment process.

AOPs Decision-making Dynamic optimisation H(2)O(2) dosage Pareto frontiers Photo-Fenton

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Jan 2019
Historique:
received: 18 01 2018
revised: 04 07 2018
accepted: 04 07 2018
pubmed: 2 8 2018
medline: 2 8 2018
entrez: 2 8 2018
Statut: ppublish

Résumé

The photo-Fenton process is a photochemical process that has proved to be highly efficient in degrading new potentially harmful contaminants. Despite of this, scarce attention has been paid to the development of systematic procedures and optimisation strategies to efficiently operate such a process. The present work aims at investigating the effectiveness of a model-based approach in carrying out the dynamic optimisation of the recipe of a photo-Fenton process, performed in fed-batch mode (reactant dosage). This work has addressed and solved multiple optimisation problems, searching for the optimal hydrogen peroxide (H

Identifiants

pubmed: 30067960
pii: S0048-9697(18)32540-3
doi: 10.1016/j.scitotenv.2018.07.057
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

902-913

Informations de copyright

Copyright © 2018. Published by Elsevier B.V.

Auteurs

Francesca Audino (F)

Chemical Engineering Department, Universitat Politècnica de Catalunya, Escola d'Enginyeria de Barcelona Est (EEBE), Av. Eduard Maristany, 16, 08019 Barcelona, Spain. Electronic address: francesca.audino@upc.edu.

Gerard Campanyà (G)

Chemical Engineering Department, Universitat Politècnica de Catalunya, Escola d'Enginyeria de Barcelona Est (EEBE), Av. Eduard Maristany, 16, 08019 Barcelona, Spain. Electronic address: gerard.campanya@inprocessgroup.com.

Montserrat Pérez-Moya (M)

Chemical Engineering Department, Universitat Politècnica de Catalunya, Escola d'Enginyeria de Barcelona Est (EEBE), Av. Eduard Maristany, 16, 08019 Barcelona, Spain. Electronic address: montserrat.perez-moya@upc.edu.

Antonio Espuña (A)

Chemical Engineering Department, Universitat Politècnica de Catalunya, Escola d'Enginyeria de Barcelona Est (EEBE), Av. Eduard Maristany, 16, 08019 Barcelona, Spain. Electronic address: antonio.espuna@upc.edu.

Moisès Graells (M)

Chemical Engineering Department, Universitat Politècnica de Catalunya, Escola d'Enginyeria de Barcelona Est (EEBE), Av. Eduard Maristany, 16, 08019 Barcelona, Spain. Electronic address: moises.graells@upc.edu.

Classifications MeSH