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<p>This study explores the application of Advanced Oxidation Processes (AOPs) for treating effluent from the Algiers refinery to meet wastewater discharge standards and assess the feasibility of reusing the treated water in cooling towers. Five processes were evaluated: sunlight, sunlight/H<sub>2</sub>O<sub>2</sub>, sunlight/persulfate (PS), sunlight/H<sub>2</sub>O<sub>2</sub>/PS and the solar photo-Fenton process. In batch reactor tests, the solar photo-Fenton process performed exceptionally well, reducing Chemical Oxygen Demand (COD) by 94% under optimal conditions: pH 3.5, [Fe<sup>2</sup>⁺] = 0.329&#xa0;mM and [H<sub>2</sub>O<sub>2</sub>] = 14.685&#xa0;mM. Additionally, it effectively reduced water hardness, along with the concentrations of chlorides, suspended solids and total dissolved solids. Kinetic analysis revealed that COD removal followed a pseudo-first-order reaction. The predictive capability of an Artificial Neural Network (ANN) model was also evaluated, achieving a higher correlation coefficient of 97.9% for COD removal efficiency. Pilot-scale experiments using a solar concentrating parabolic trough reactor (CPC) further validated the process, achieving a 50% reduction in COD and significantly improving water hardness. With the added potential for treated effluent reuse in cooling towers, our results show that the solar photo-Fenton process is a practical and scalable solution for industrial applications, supporting sustainable water management in the refinery industry.</p>

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Solar Advanced Oxidation Processes for Refinery Wastewater Treatment: Comparative Efficiencies, Modeling, and Feasibility for Cooling Tower Reuse

  • 期刊论文

  • 发表日期：

    2025年7月1日

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  • Yasmine Ait Ouaissa,
  • Nor El Houda Madi,
  • Malika Chabani,
  • Souad Bouafia-Chergui

摘要

This study explores the application of Advanced Oxidation Processes (AOPs) for treating effluent from the Algiers refinery to meet wastewater discharge standards and assess the feasibility of reusing the treated water in cooling towers. Five processes were evaluated: sunlight, sunlight/H2O2, sunlight/persulfate (PS), sunlight/H2O2/PS and the solar photo-Fenton process. In batch reactor tests, the solar photo-Fenton process performed exceptionally well, reducing Chemical Oxygen Demand (COD) by 94% under optimal conditions: pH 3.5, [Fe2⁺] = 0.329 mM and [H2O2] = 14.685 mM. Additionally, it effectively reduced water hardness, along with the concentrations of chlorides, suspended solids and total dissolved solids. Kinetic analysis revealed that COD removal followed a pseudo-first-order reaction. The predictive capability of an Artificial Neural Network (ANN) model was also evaluated, achieving a higher correlation coefficient of 97.9% for COD removal efficiency. Pilot-scale experiments using a solar concentrating parabolic trough reactor (CPC) further validated the process, achieving a 50% reduction in COD and significantly improving water hardness. With the added potential for treated effluent reuse in cooling towers, our results show that the solar photo-Fenton process is a practical and scalable solution for industrial applications, supporting sustainable water management in the refinery industry.