화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Journal of Industrial and Engineering Chemistry, Vol.108, 288-307, April, 2022
DOI10.1016/j.jiec.2022.01.009  Export Citation
The precision-complexity binomial to achieve the best mathematicalthermodynamic modelling on the Gibbs-function and its effect on the separation processes design
Adriel Sosa, Juan Ortega†, Luís Fernández, and Beatriz Lorenzo
  • Grupo de Ingeniería Térmica e Instrumentación (IDeTIC), 35071-Parque Científico-Tecnológico, Universidad de Las Palmas de Gran Canaria, Canary Islands, Spain
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A modelling methodology based on the precision-complexity binomial has been applied to a parametric model established for the Gibbs function, in order to achieve the best parameterization. This methodology is integrated into a multi-objective optimization method to describe, as accurately as possible, the real behaviour of a set of binary solutions of butyl butanoate-alkanes, for which several of their properties have been experimentally determined. The optimization is addressed with a genetic algorithm with elitism-control that favours the convergence, providing well distributed results along the efficientfronts. A database of, approximately 1500 values, was generated, which used to check the numerical procedure. The representation of different properties is acceptably described with the multiproperty model constituted by the gE-model and its successive derivatives. In relation to other models, the approach carried out significantly improves the results because, in addition, it includes an estimation of the volumetric effects. A practical application was carried out with the simulation of a separation process for one of the systems that present a complex behaviour, providing solutions for its implementation in an industrial scale.
Keywords:Experimentation;Modelling;Gibbs-function;Programming;Process engineering;Simulation
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