Optimization in design, testing and reactor use by statistical modeling of the reaction variables, energy input and reaction time

Abstract

Abstract A single exponential polynomial function was constructed for the treatment of the experimental data in an immersion type reactor to optimize the most economical use of chemicals, electrical energy and time to degrade a given amount of pollutant. This function allowed to predict the TOC values taking into consideration five of the chemical parameters affecting the degradation of Naphthalene-1,5-Disulphonate (Naph-Dis) and Orange II by way of reduced centered dimensionless variables. These variables significantly contributing to the substrate degradation have been identified and modeled through contour plots and surfaces in 2 and 3 dimensions (2D, 3D). The abatement of the pollutant up to almost complete disappearance of the substrate was susceptible of modeling using a desktop computer. A single exponential function was constructed for the treatment of the experimental data to optimize the most economical use of chemicals, electrical energy and time to degrade a given amount of pollutant. This function is able to predict the TOC values taking into consideration five of the chemical parameters affecting the degradation by way of reduced centered dimensionless variables. These variables significantly contributing to the substrate degradation have been identified and modeled through contour plots and surfaces in 2 and 3 dimensions (2D, 3D). The correlation factor between the experimental and the values predicted by the exponential function was better than 95% as computed by the appropriate analytical function.