4.7 Article

An experimental approach to the optimization of the dosage of hydrogen peroxide for Fenton and photo-Fenton processes

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 743, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.140402

Keywords

Photo-Fenton; Hydrogen peroxide dosage; Recipe optimization; Experimental design; Dissolved oxygen monitoring; Hydrogen peroxide consumption

Funding

  1. Spanish Ministerio de Economia, Industria y Competitividad (MINECO) [DPI201787435-R]
  2. European Regional Development Fund [DPI201787435-R]
  3. State Scholarship Fund of China Scholarship Council [201706950041]
  4. Spanish Ministry of Education, Culture and Sports (Ayuda para la Formacion de Profesorado Universitario) [FPU15/02932]

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The determination of the hydrogen peroxide dosage scheme that minimizes hydrogen peroxide consumption while meeting the specified treatment outcome is crucial for Fenton and photo-Fenton processes. The challenge is building a methodology that provides the optimal dosage profile. However, the lack of detailed dynamic models prevents exploiting model-based optimization methods that have proved successful in other applications. Thus, this work addresses this challenge by providing a problem formulation identifying and discussing objectives and constraints, and the nature of the optimal solution. From this point, the work presents a novel dosage model and a consequent methodology aimed at experimentally optimizing the dosage profile along a disaetized time horizon following recipe optimization concepts. The approach is parallel to the numerical solution of the model-based optimization problem posed by hydrogen peroxide dosage. The proposed methodology is validated in the remediation of a Paracetamol (PCT) solution, and the obtained results are assessed and discussed in regard of the evolution of the concentration of hydrogen peroxide, the contaminant (PCT), and Total Organic Carbon (TOC). The concentration of dissolved oxygen (DO), which is also monitored, allows providing a more comprehensive explanation of the nature of the process. (C) 2020 Elsevier B.V. All rights reserved.

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