Scale‐up Fenton process: study and optimization in piggery wastewater treatment

Abstract

BACKGROUNDIn the present study, the Fenton process was used as an effective method to treat several contaminants present in wastewaters. The case study is a pig farm located in the community of Loma de Zempoala, Guanajuato, Mexico, where the Fenton process in continuos flow assisted with sunlight was used to treat a real piggery wastewater.RESULTSFirst, an optimization of the operational parameters at laboratory scale was carried out by experimental design Taguchi L9. Experimental data showed the following degradation efficiencies: chemical oxygen demand (COD) = 95% ± 1.%; total organic carbon (TOC) = 53% ± 9%; Color = 99% ± 1%. To maximize the degradation of organic matter a Response Surface Methodology (RSM) was employed to define the following operational parameters: pH = 3, reaction time = 60 min, molar ratios hydrogen peroxide (H2O2):COD = 1.5 and H2O2:ferrous ion (Fe2+) = 1.5. As a second step, the scaling of the process in continuous flow was carried out, and the experimental data were adjusted appropriately to a kinetic model of pseudo‐first‐order, reaching a 98% degradation of organic matter at 250 min.CONCLUSIONIn this study, the Fenton process assisted with sunlight is faster than the traditional method because the incident light has a catalytic effect together with the ferric ion, improving the formation of hydroxyl radicals; as a consequence, the treated effluent presents the quality indicated by the Mexican environmental legislation. © 2020 Society of Chemical Industry (SCI)

Response surface methodology for process optimization in livestock wastewater treatment: A review

“…Once the experimental design has been finalized, the experiments are performed and data on the response variables are recorded. It is critical to ensure that the collected data are accurate and reliable as well as free of any sources of variability or measurement errors [ 64 ]. Data on the response variable(s) collected under various experimental conditions are used to identify the optimal set of parameters that lead to the desired outcome, such as maximum pollutant removal or minimum resource consumption [ 65 , 66 ].…”

A Current Review of Water Pollutants in American Continent: Trends and Perspectives in Detection, Health Risks, and Treatment Technologies

“…Mejía-Morales et al (2020) [130] presented the use of an AOP based on UV/H 2 O 2 /O 3 for the remediation of residual water from a hospital in Puebla (Mexico), showing the feasibility of its use to remediate effluents contaminated with a high organic load. On the other hand, Zárate-Guzmán et al (2021) [131] presented the scale-up of a Fenton and Photo-Fenton process for the treatment of piggery wastewater in Guanajuato (Mexico). The results show that these two AOPs have great application potential for the remediation of effluents contaminated with a high organic load due to their high removal percentages (COD, TOC, and Color) and low operating costs.…”