| Revista: | Brazilian journal of chemical engineering |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000308828 |
| ISSN: | 0104-6632 |
| Autores: | Jiménez, L1 Basualdo, M.S2 Gómez, J.C Toselli, L3 Rosa, M |
| Instituciones: | 1Universidad de Barcelona, Departamento de Ingeniería Química y Metalurgia, Barcelona. España 2Universidad Nacional de Rosario, Departamento de Electrónica, Rosario, Santa Fe. Argentina 3Universidad Tecnológica Nacional, Escuela Regional Villa María, Villa María, Córdoba. Argentina |
| Año: | 2002 |
| Periodo: | Jul |
| Volumen: | 19 |
| Número: | 3 |
| Paginación: | 307-317 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | 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™ |
| Disciplinas: | Química |
| Palabras clave: | Ingeniería química, Destilación discontinua, Mapa de curvas residuales, Sensores suaves, Control inferencial, Identificación no-lineal |
| Keyword: | Chemistry, Chemical engineering, Batch distillation, Residue curve map, Soft sensors, Inferential control, Nonlinear identification |
| Texto completo: | Texto completo (Ver HTML) |
