Optimization Techniques for Design a shell and tube heat exchanger from economic view

Document Type : Research Article

Authors

1 Department of mechanical Eng., Islamic Azad university, Roudsar and Amlash branch, Roudsar, Iran

2 Department of mechanical engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

3 khejenasir

10.22060/ajme.2020.18027.5882

Abstract

This paper demonstrates an optimization optimum of the total annual cost for shell and tube heat exchanger based on optimization algorithms. The total annual cost is sum of the initial cost for construction of heat exchanger and cost of power consumption in shell and tube heat exchanger. The total annual cost is as objective function to optimize and minimize. that It used three optimization algorithms including particle swarm optimization, genetic algorithm and differential evolution and using three optimization variables including shell inside diameter, tubes outer diameter and baffle spacing. Three cases studies have been used to compare withcompare with other results. The results demonstrated that the differential evolution algorithm achieved the most decline in the total annual cost compared with other optimization algorithms. Using differential evolution algorithm, The the total annual cost had decreased about 30% using DE algorithm compared with literature for case study 1 and about 28.1% using DE algorithm compared with for case study 2 compared with literature, respectively. The reduction in the total operating cost by is about 47.7% for differential evolutionDE algorithm, 45.7% for particle swarm optimizationPSO and 45.3% for Genetic algorithm relative to the results reported in the literature for case study 3. Results compared with other at least eight works directly and have been demonstrated in this research.

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