Synthesis of heat exchanger networks using genetic algorithms

This paper presents a methodology for carrying out both the synthesis and the optimization of heat exchanger networks (HEN) based on a genetic algorithm (GA) technique. The proposed methodology allows the topology of the HEN and the heat load distribution that satisfy an energy target to be obtained from a single pass calculation. The technique is characterized by a high reliability in determining the best HEN structure. In addition, it also allows the generation of several HEN configurations to be obtained; thus, a best HEN selection in accordance to a given application can be easily achieved. The proposed approach permits the HEN topology to be obtained only if flow stream divisions are avoided. The simplicity of the proposed procedure makes this technique useful when a fast solution of a problem is looked for. The validation of the algorithm is carried out by solving benchmark tests taken from the open literature. In all the cases studied, the results compare quite well with those given in the open literature.