Date of Publication:2004-01-01

Journal:大连理工大学学报

Issue:2

Page Number:218-223

ISSN:1000-8608

Abstract:The multi-stream heat exchanger networks synthesis (HENS) problem can be formulated as a mixed integer nonlinear programming (MINLP) model according to Yee, et al.. Its nonconvexity nature leads to the existence of more than one optimum and the computation difficulty for traditional algorithms to find the global optimum. Different from the assumption of isothermal mixing of stream splits and thus linearity constraints of Yee, et al., non-isothermal mixing is supported in this paper. As a consequence, nonlinear constraints are approached and nonconvexity of the objective function is also added. Compared with other deterministic algorithms, genetic algorithms (GAs) can provide a promising approach to solution of this problem. A novel method for the synthesis of multi-stream heat exchanger networks based on GA using the stage-wise superstructure is presented. The performance of the proposed GA approach is demonstrated by two examples and better solutions obtained are compared with literatures.

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