Automated Process Design of the Optimal Heat-Exchange Network of a Mash Distillation Plant

Decomposition NLP/LP/NLP methods are considered for the automated process design of the economically optimal distributed heat exchange networks between process streams using the assignment problem. The principle of fixation of intermediate variables and issues of the design of the superstructures of...

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Bibliographic Details
Published in:Theoretical foundations of chemical engineering 2021-11, Vol.55 (6), p.1133-1151
Main Authors: Emel’yanov, I. I., Ziyatdinov, N. N., Lapteva, T. V., Ryzhova, A. A., Semin, R. V.
Format: Article
Language:English
Subjects:
Automation
Chemistry
Chemistry and Materials Science
Decomposition
Distillation
Heat exchange
Heat exchangers
Heat transfer
Industrial Chemistry/Chemical Engineering
Superstructures
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Summary:Decomposition NLP/LP/NLP methods are considered for the automated process design of the economically optimal distributed heat exchange networks between process streams using the assignment problem. The principle of fixation of intermediate variables and issues of the design of the superstructures of a heat exchange network and their decomposition are discussed. Methods to reduce the computational effort to solve the problems of the optimal heat integration are analyzed. The proposed synthesis methods are studied using the example of a mash distillation plant, and the problem of synthesizing the optimal multistage heat exchange network and the split-stream heat exchange network is solved.
ISSN:0040-5795
1608-3431
DOI:10.1134/S0040579521060026