Disjunctive optimization design models for complex liquid-liquid multistage extractors

A new method for the optimal design of multicomponent liquid–liquid extraction processes using multistage countercurrent extractor systems is proposed. The method determines the optimum number of equilibrium stages and flow rates needed to obtain a specified product separation and recovery, and acco...

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Bibliographic Details
Published inAIChE journal Vol. 47; no. 10; pp. 2243 - 2252
Main Authors Reyes-Labarta, Juan A., Grossmann, Ignacio E.
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.10.2001
Wiley Subscription Services
American Institute of Chemical Engineers
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Summary:A new method for the optimal design of multicomponent liquid–liquid extraction processes using multistage countercurrent extractor systems is proposed. The method determines the optimum number of equilibrium stages and flow rates needed to obtain a specified product separation and recovery, and accounts for the possibility of side feed streams and product extractions. A superstructure is proposed that has embedded all potential configurations and interconnections. Based on this superstructure representation, the problem is formulated as an optimization problem using generalized disjunctive programming (GDP) to minimize the total cost of the process, subject to design specifications. The robustness and computational efficiency of the model is illustrated with different cases involving single and complex countercurrent cascades in a quaternary liquid–liquid system.
Bibliography:ark:/67375/WNG-TFQF3GBN-4
istex:C7513C97E0CA8EDA01FE25B0B4DF1979568FBD9F
ArticleID:AIC690471011
ObjectType-Article-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.690471011