Kinetic analysis via mathematical modeling for ferrous iron oxidation in a class of SBR-type system
| Autor: | Luis G. Torres-Bustillos, Edgar N. Tec-Caamal, Ricardo Aguilar-López, Refugio Rodríguez-Vázquez |
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| Rok vydání: | 2019 |
| Předmět: |
State variable
Environmental Engineering Materials science General Chemical Engineering Thermodynamics 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology Kinetic energy Biochemistry Ferrous chemistry.chemical_compound 020401 chemical engineering chemistry Scientific method Bioreactor Sensitivity (control systems) 0204 chemical engineering 0210 nano-technology Hydrogen peroxide Parametric statistics |
| Zdroj: | Chinese Journal of Chemical Engineering. 27:2472-2480 |
| ISSN: | 1004-9541 |
| DOI: | 10.1016/j.cjche.2019.04.014 |
| Popis: | This paper analyses the oxidation of ferrous iron via chemical and biological means in a class of Sequential Batch Reactors (SBR-type). For this, a kinetic model for the study of iron oxidation system is proposed, followed by a parametric sensitivity analysis and a bifurcation analysis, which allow selecting the most influential kinetic parameters in order to ensure a suitable prediction capacity of the mathematical structure. The system consists of two SBR bioreactors, the first being used to produce hydrogen peroxide (H2O2) that is fed to a second reactor where the iron oxidation is carried out by chemical–biological processes. Model predictions were compared with experimental data for the production of H2O2 and for ferrous iron oxidation, finding suitable correlation coefficients (r2 > 0.98) for each state variable. The bifurcation analysis showed the trajectories of the main variables, such as, biomass, H2O2 and ferrous iron, under the change of the most influential kinetic parameters. This analysis demonstrates the usefulness of the constructed model to predict the kinetic behaviour of the SBR-type process. |
| Databáze: | OpenAIRE |
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