Optimization of an industrial reactor of cyclic alcohol production using genetic algoritms / Otimização de um reator industrial de produção de alcool ciclico utilizando algoritmos geneticos

AUTOR(ES)
DATA DE PUBLICAÇÃO

2005

RESUMO

In the last decades, with the increase of the competitiveness of the world market (reduction of costs, prices, increase of the productivity and efficiency of the productive processes) there was a great interest in to improve and to optimize the several processes of chemical industries. Several optimization classic techniques have been used with that aim, but many of those techniques are not efficientf, mainly when the complexity of the problem is very larger, where several subjects are approached as: high number of variables of the processes, the non-linearity of the models, that supply several possible solutions, therefore not solving the interest cases. As alternative, a new class algorithms, denominated of genetic algorithms (a evolutionary algorithms category) being applied in several optimization cases, reaching great popularity in the last years. The Genetic Algorithms (GAs) have presented great potentiality and ability to solve complex optimization problems in several fields, including the Chemical Engineering. In this work, the main objective is to use this technique (GAs) in an example related to a Cyclic Alcohol (CA) production industrial reactor, optimizing some important operational parameters. The Cyclic Alcohol is an important material for the nylon, of great commercial interest. The interest of this work is to show that the genetic algorithms technique can be useful to CA production maximization, obtaining good results with improvements of the operational parameters (catalyst reduction, reduction of the temperature of the process and/or reduction of the total cooling fluid). Some cares should be considered, mainly when reactants emissions (main reactant) happen in high concentrations causing damages to the environmental, needing to control these emissions because high toxicity. The results are excellent, showing high performance in the CA productivity (considerable increase CA production) with changes in operational parameters analyzed. Those results evidence that this new technique is very promising and great applicability, not only for individual equipments, as this study case (production reactor), but in complete and complex processes that can be represented by a reliable model besides to be applicable in real time, through control, maintenance and improvement of the production process

ASSUNTO(S)

catalisadores catalise heterogenea reatores quimicos - simulação (computadores) alcoo - industria chemical reactors otimização optimization genetic algoritms cyclic alcohol algoritmos geneticos catalytic reactors

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