Process synthesis involves manipulation of the process arrangement, while studying the variables of each arrangement, to arrive at the optimal process. If each process arrangement is treated as a discrete variable, process synthesis becomes a mixed integer optimization problem. This paper examines the synthesis of heat exchanger networks using the adaptive random search procedure, which can be used to search continuous and discrete independent variables simultaneously. The means of handling the heat exchanger arrangement as a discrete variable is discussed, and the incorporation of various synthesis heuristics is presented. The results of synthesis of 2 x 2, 2 x 3, and 3 x 3 networks are presented and compared with other methods of synthesis. Copyright © 1977 American Institute of Chemical Engineers


Chemical and Biochemical Engineering

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Full Access

International Standard Serial Number (ISSN)

1547-5905; 0001-1541

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Article - Journal

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Publication Date

01 Jan 1977