.png){kind=icon}
Return
Mixed-logic dynamic optimization applied to batch distillation process design
.png){kind=icon}
PRE
AI
DOI：10.1002/aic.690491120.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
An approach for the optimal configuration and sequencing of complex batch-distillation processes is presented. The proposed method is based on formulating a mixed-logic dynamic optimization problem in which a performance index is minimized subject to a disjunctive dynamic model and constraints. The disjunctive model comprises a given set of equipment modules, such as stacks of trays of different size or feed and product vessels, available for the distillation process under consideration along with logical relationships provided by the design context. The optimization based on this model may yield unconventional design and operational strategies, and thus improve the economic efficiency to a significant extent. The logic-based solution technique proposed in this work offers some favorable properties when compared to established mixed-integer dynamic optimization problem solution techniques reported in the literature. The design of a multistage batch-distillation process serves as an example to illustrate the proposed modeling and solution method.
Keywords:
MINLP OPTIMIZATION
INTEGER
STRATEGY
ALGORITHMS
OPERATION
SYSTEMS
MODELS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4
Papers:
1.1W
Citations:
2.9W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveRelationship between NF-κB1 and NF-κBIA genetic polymorphisms and Crimean-Congo hemorrhagic fever
PREAI
ShareSaveShareSave
View more