Nonlinear dynamic modeling of multicomponent batch distillation: a case study

Brazilian Journal of Chemical Engineering

L. Jiménez²  M.s. Basualdo¹  J.c. Gómez¹  L. Toselli¹  M. Rosa¹ 

[1] ,University of Barcelona Department of Chemical Engineering and Metallurgy Barcelona,Spain

关键词: batch distillation;    residue curve map;    soft sensor;    inferential control;    nonlinear identification;   

DOI  :  10.1590/S0104-66322002000300006

来源: SciELO

【 摘 要 】

The aim of this work is to compare several of the commercial dynamic models for batch distillation available worldwide. In this context, BATCHFRAC™, CHEMCAD™ BATCH, and HYSYS.Plant® software performances are compared to experimental data. The software can be used as soft sensors, playing the roll of ad-hoc observers or estimators for control objectives. Rigorous models were used as an alternative to predict the concentration profile and to specify the optimal switching time from products to slop cuts. The performance of a nonlinear model obtained using a novel identification algorithm was also studied. In addition, the strategy for continuous separation was revised with residue curve map analysis using Aspen SPLIT™.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License