Experimental study and mathematical modeling of hybrid solar reactor for phenol degradationby photo-Fenton process. / Estudo experimental e modelagem matemática de reator solar híbrido para degradação de fenol em solução aquosa pelo processo foto-Fenton.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

Wastewaters containing hazardous, or recalcitrant organic substances are generated in a wide variety of industrial processes. The inadequate management of these effluents can cause contamination of underground and surface water. Their treatment by conventional processes may not be technically efficient, and usually prevents effluents from being discarded or reused in industrial processing units. Photochemical advanced oxidation technologies can be a feasible alternative for wastewater treatment. In this study the photo-irradiated Fenton process is considered, with the aim of utilizing solar radiation as a photon source to the process. The study comprised experiments carried out in a solar reactor based on compound parabolic collectors (CPC) connected to a stirred tank equipped with electric lamps. This reaction system operated under different conditions, and different configurations (continuous and batch operation, different solar irradiated area, different electric power for the light sources in the stirred tank). In general, the performance of the solar reactor was similar to the performance of reactors based on electric light sources (for instance, in batch operation more than 90% of the dissolved organic carbon in solution (DOC) was removed in less than 3 hours). The experimental results were used to fit a neural network-based mathematical model to simulate the DOC removal rate as a function of the experimental conditions. This model was combined with mass balances, enabling to simulate the reactor performance for different values of the operating and design variables. The model results showed good agreement with most of the experiments. The simulation results enabled to evaluate the effect of the variables included in the study, and to identify important aspects related to reactor performance under different conditions of solar radiation and electric energy sources.

ASSUNTO(S)

efluentes mathematical modeling neural networks reatores químicos photochemical reactors photodegradation effluents modelos matemáticos solar reactors oxidação (processos)

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