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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Published in | AIChE journal Vol. 47; no. 10; pp. 2243 - 2252 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.10.2001
Wiley Subscription Services American Institute of Chemical Engineers |
Subjects | |
Online Access | Get full text |
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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. |
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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 |