Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
173864 | Computers & Chemical Engineering | 2008 | 13 Pages |
Abstract
In this work, a methodology based on genetic algorithms (GAs) is developed for the optimal synthesis of multipass heat exchanger networks (HENs). The network model is based on a stagewise superstructure, and the problem of finding the optimum number of 1–2 shells in series of multipass heat exchangers is aided by an efficient optimization model that uses the standard FT design method. The proposed methodology allows for proper handling of the trade-offs involving energy consumption, number of units, number of 1–2 shells and network area to provide a network with the minimum total annual cost. The results of the examples show that the new approach is able to find more economical networks than those generated by other methods.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
José María Ponce-Ortega, Medardo Serna-González, Arturo Jiménez-Gutiérrez,