Towards sustainable wastewater treatment: Cost and efficiency trade-offs in the photo-fenton process

This study examines the efficiency of COD removal in the photo-Fenton process, considering UVA irradiation, Fe2+ concentration, and H2O2 dosage as key operating variables. The primary objective is to simultaneously maximize COD removal and minimize operating costs using fuzzy optimization within a m...

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Main Authors: Alec Nowell A. Ranara, Redeil N. Arreza, Trisha Kerstin C. Tan, Kathleen B. Aviso, Angelo Earvin Sy Choi
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025022145
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author Alec Nowell A. Ranara
Redeil N. Arreza
Trisha Kerstin C. Tan
Kathleen B. Aviso
Angelo Earvin Sy Choi
author_facet Alec Nowell A. Ranara
Redeil N. Arreza
Trisha Kerstin C. Tan
Kathleen B. Aviso
Angelo Earvin Sy Choi
author_sort Alec Nowell A. Ranara
collection DOAJ
description This study examines the efficiency of COD removal in the photo-Fenton process, considering UVA irradiation, Fe2+ concentration, and H2O2 dosage as key operating variables. The primary objective is to simultaneously maximize COD removal and minimize operating costs using fuzzy optimization within a multi-objective framework. Pareto-optimal solutions established COD removal efficiencies ranging from 10.54±1.81 % to 76.58±0.14 %, corresponding to costs of 147.02 to 2087.66 USD·m−3. Fuzzy optimization achieved a 71.12 % overall satisfaction level, balancing trade-offs between performance and cost. Optimal conditions were determined as 83.68 W·m−3 UVA irradiation, 0.4730 mM Fe2+, and 9.00 mM H2O2, yielding a 57.22±0.91 % COD removal at a total cost of 707.40 USD·m−3. This demonstrates a 2.48 times greater cost-efficiency than conventional methods, despite an 18.58 % lower removal efficiency. To improve the photo-Fenton process for industrial applications, future work can consider dynamic optimization for variable wastewater compositions, low-cost catalysts to reduce reagent expenses, hybrid systems to enhance scalability, and real-time monitoring to automate adjustments in irradiation and dosing.
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spelling doaj-art-dcc1e931b6df419b920d29e7a8c0fbd42025-07-10T04:35:03ZengElsevierResults in Engineering2590-12302025-09-0127106142Towards sustainable wastewater treatment: Cost and efficiency trade-offs in the photo-fenton processAlec Nowell A. Ranara0Redeil N. Arreza1Trisha Kerstin C. Tan2Kathleen B. Aviso3Angelo Earvin Sy Choi4Department of Chemical Engineering, De La Salle University, 2401 Taft Avenue, Malate, Manila 0922, PhilippinesDepartment of Chemical Engineering, De La Salle University, 2401 Taft Avenue, Malate, Manila 0922, PhilippinesDepartment of Chemical Engineering, De La Salle University, 2401 Taft Avenue, Malate, Manila 0922, PhilippinesDepartment of Chemical Engineering, De La Salle University, 2401 Taft Avenue, Malate, Manila 0922, PhilippinesCorresponding author.; Department of Chemical Engineering, De La Salle University, 2401 Taft Avenue, Malate, Manila 0922, PhilippinesThis study examines the efficiency of COD removal in the photo-Fenton process, considering UVA irradiation, Fe2+ concentration, and H2O2 dosage as key operating variables. The primary objective is to simultaneously maximize COD removal and minimize operating costs using fuzzy optimization within a multi-objective framework. Pareto-optimal solutions established COD removal efficiencies ranging from 10.54±1.81 % to 76.58±0.14 %, corresponding to costs of 147.02 to 2087.66 USD·m−3. Fuzzy optimization achieved a 71.12 % overall satisfaction level, balancing trade-offs between performance and cost. Optimal conditions were determined as 83.68 W·m−3 UVA irradiation, 0.4730 mM Fe2+, and 9.00 mM H2O2, yielding a 57.22±0.91 % COD removal at a total cost of 707.40 USD·m−3. This demonstrates a 2.48 times greater cost-efficiency than conventional methods, despite an 18.58 % lower removal efficiency. To improve the photo-Fenton process for industrial applications, future work can consider dynamic optimization for variable wastewater compositions, low-cost catalysts to reduce reagent expenses, hybrid systems to enhance scalability, and real-time monitoring to automate adjustments in irradiation and dosing.http://www.sciencedirect.com/science/article/pii/S2590123025022145Chemical oxygen demandCost-effectivenessFuzzy optimizationPhoto-FentonTextile wastewater
spellingShingle Alec Nowell A. Ranara
Redeil N. Arreza
Trisha Kerstin C. Tan
Kathleen B. Aviso
Angelo Earvin Sy Choi
Towards sustainable wastewater treatment: Cost and efficiency trade-offs in the photo-fenton process
Results in Engineering
Chemical oxygen demand
Cost-effectiveness
Fuzzy optimization
Photo-Fenton
Textile wastewater
title Towards sustainable wastewater treatment: Cost and efficiency trade-offs in the photo-fenton process
title_full Towards sustainable wastewater treatment: Cost and efficiency trade-offs in the photo-fenton process
title_fullStr Towards sustainable wastewater treatment: Cost and efficiency trade-offs in the photo-fenton process
title_full_unstemmed Towards sustainable wastewater treatment: Cost and efficiency trade-offs in the photo-fenton process
title_short Towards sustainable wastewater treatment: Cost and efficiency trade-offs in the photo-fenton process
title_sort towards sustainable wastewater treatment cost and efficiency trade offs in the photo fenton process
topic Chemical oxygen demand
Cost-effectiveness
Fuzzy optimization
Photo-Fenton
Textile wastewater
url http://www.sciencedirect.com/science/article/pii/S2590123025022145
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AT redeilnarreza towardssustainablewastewatertreatmentcostandefficiencytradeoffsinthephotofentonprocess
AT trishakerstinctan towardssustainablewastewatertreatmentcostandefficiencytradeoffsinthephotofentonprocess
AT kathleenbaviso towardssustainablewastewatertreatmentcostandefficiencytradeoffsinthephotofentonprocess
AT angeloearvinsychoi towardssustainablewastewatertreatmentcostandefficiencytradeoffsinthephotofentonprocess