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Selection of decompositions for chemical process simulation
Author(s) -
Upadhye Ravindra S.,
Grens Edward A.
Publication year - 1975
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690210117
Subject(s) - selection (genetic algorithm) , convergence (economics) , decomposition , process (computing) , set (abstract data type) , substitution (logic) , mathematical optimization , computer science , process simulation , mathematics , algorithm , chemistry , artificial intelligence , economics , organic chemistry , programming language , economic growth , operating system
A method has been developed for selection of the set of torn streams in a process simulation that leads to convergence of a direct substitution calculation in the minimum number of iterations. It is based on the establishment of families of decompositions, the members of each of which have identical convergence behavior. Explicit criteria for choice among families have been found that lead, in almost every case, to a single optimum decomposition family. These results have been verified by application to several chemical process simulation examples.