Abstract
AbstractThe wide applications of shell and tube heat exchanger in several industries are forced to decrease the capital and operational cost of it. In this direction, this paper presents the multi-objective entropy-based optimization of a stainless-steel E-Shell heat exchanger by using the genetic algorithm. A modified NSGA-II algorithm has been used to optimize heat exchanger. The objective functions under consideration are the operating cost, capital cost and entropy generation number. The design parameters have been used as the number of tubes, baffle spacing and tube outer diameter. Kern method has been used for the modelling of the heat exchanger with some modifications. The relation between the hand-off of optimizing one objective to another has been established. A relationship has been developed between the total cost of E-Shell heat exchanger and EGN. A Pareto-optimal front has been obtained for all four cases. The results reveal that the overall cost of heat exchanger reduced. Increment in the capital investment of STHE has been found on reducing the entropy generation number of the shell and tube heat exchanger. The robustness of the algorithm increases by decreasing the number of objectives.KeywordsGenetic algorithmEntropy generation numberOptimizationShell tube heat exchanger
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