Science and Technology Production
Article
Authorship
MORENO, MARTA SUSANA
;
IRIBARREN, OSCAR ALBERTO
;
Montagna, Jorge Marcelo
Date
2009
Publishing House and Editing Place
Institution of Chemical Engineers
Magazine
CHEMICAL ENGINEERING RESEARCH & DESIGN,
vol. 87
(pp. 1497-1508)
- ISSN 0263-8762
Institution of Chemical Engineers
Institution of Chemical Engineers
ISSN
0263-8762
Summary
Information provided by the agent in
SIGEVA
A generalized disjunctive programming (GDP) model for the optimal design of multiproduct batch plants is presented. This general model manages the duplication of units in series to perform a given operation in the process, which is an alternative that has not been considered in previous general approaches. Unlike duplication in parallel, duplication in series is only applicable to some operations which present trade-offs between duplication and other cost-impacting elements in the batch process...
A generalized disjunctive programming (GDP) model for the optimal design of multiproduct batch plants is presented. This general model manages the duplication of units in series to perform a given operation in the process, which is an alternative that has not been considered in previous general approaches. Unlike duplication in parallel, duplication in series is only applicable to some operations which present trade-offs between duplication and other cost-impacting elements in the batch process. In order to use a fixed time and size factor model some assumptions had to be made in the operations that allow the duplication in series. To show the effectiveness of this approach, a plant that produces multiple recombinant proteins is presented and solved.
Show more
Show less
Key Words
MULTIPRODUCT BATCH PLANTSGENERALIZED DISJUNCTIVE PROGRAMMINGDUPLICATION IN SERIES
Download or request the full text