Use of genetic algorithms for the optimal design of shell-and-tube heat exchangers

Abstract

This paper presents an approach based on genetic algorithms for the optimal design of shell-and-tube heat exchangers. The approach uses the Bell–Delaware method for the description of the shell-side flow with no simplifications. The optimization procedure involves the selection of the major geometric parameters such as the number of tube-passes, standard internal and external tube diameters, tube layout and pitch, type of head, fluids allocation, number of sealing strips, inlet and outlet baffle spacing, and shell-side and tube-side pressure drops. The methodology takes into account the geometric and operational constraints typically recommended by design codes. The examples analyzed show that genetic algorithms provide a valuable tool for the optimal design of heat exchangers.