Procedure to Optimal Synthesis and Design of Batch Plants (Second Part)

  • MSc. Yailet Albernas-Carvajal Centro de Análisis de Procesos (CAP), Facultad de Química y Farmacia, Universidad Central "Marta Abreu" Las Villas
  • Dra. Gabriela Corsano INGAR-CONICET–UTN, Departamento de Matemática - FIQ, UNL
  • Dra. Meilyn González-Cortés Centro de Análisis de Procesos (CAP), Facultad de Química y Farmacia, Universidad Central "Marta Abreu" Las Villas
  • Dr.Sc. Erenio González-Suárez Centro de Análisis de Procesos (CAP), Facultad de Química y Farmacia, Universidad Central "Marta Abreu" Las Villas
  • Dr. Harry Verelst Department of Chemical Engineering, Vrije Universiteit Brussel (VUB)
DOI: https://doi.org/10.1590/2224-6185.2013.1.%25x
Keywords: model, superstructure, optimization, integration, batch process

Abstract

The present work is the second and last part of the wide theoretical study that it allows to continue with the development of the procedure to the synthesis and optimal design of batch systems. Starting from the theoretical study the heuristic scheme is obtained it is a continuation of the scheme developed in the first part of the work. In this scheme are kept in consideration the equipments and the involved materials problems, and also rather aspects related with the uncertainty are also involved the time as in the input variables. The synthesis and optimal design is achieved by means of the application of optimization rules to superstructures that are previously proposed by the process researcher, for that which rigorous computational tools are employed. The material and energetic integration of the process tt is also analyzed.
Published
2016-02-16
How to Cite
Albernas-Carvajal, M. Y., Corsano, D. G., González-Cortés, D. M., González-Suárez, D. E., & Verelst, D. H. (2016). Procedure to Optimal Synthesis and Design of Batch Plants (Second Part). Chemical Technology, 33(1), 12-19. https://doi.org/10.1590/2224-6185.2013.1.%x
Issue
Vol 33 No 1 (2013)
Section
Artículos

This work is licensed under the Creative Commons Attribution-NonCommercial.