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Synthesis strategies for multicomponent separation systems with energy integration
Author(s) -
Rathore Ram N. S.,
Van Wormer Kenneth A.,
Powers Gary J.
Publication year - 1974
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.690200309
Subject(s) - decomposition , separation (statistics) , computer science , decomposition method (queueing theory) , mathematical optimization , dynamic programming , energy (signal processing) , optimization problem , algorithm , mathematics , chemistry , statistics , organic chemistry , discrete mathematics , machine learning
The problem of synthesizing an optimal multicomponent separation system which is energy integrated is solved by a combined decomposition and dynamic programming technique. Dynamic programming is an optimization technique which allows the solution by decomposition of a multistage or serial optimization problem. Whenever the special serial structure is absent, again decomposition can be tried, but in this case it is by no means obvious how to decompose effectively the given problem into subproblems. In this paper the nonserial problem of synthesizing an energy integrated separation system is solved by decomposing the original problem so that a serial structure results.