Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4992104 | Applied Thermal Engineering | 2017 | 42 Pages |
Abstract
This paper presents an optimization of shell-and-tube heat exchangers (STHEs) considering as objective function the minimization of the total annual cost by Differential Evolution (DE) and a novel Differential Evolution variant, denominated Tsallis Differential Evolution (TDE). Shell-and-tube heat exchangers are the most widely used heat exchanger in industrial processes and its design involves several steps, including the selection of geometrical and operating parameters. The variables used for the optimization were the shell internal diameter (Ds), the outside tube diameter (do) and the baffles spacing (B). Reductions of total annual cost about of 26.99% compared to the literature, and reductions of 14.50%, 11.50%, 6.90% and 1.15% compared to Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Biogeography-Based Optimization (BBO) and Cuckoo-Search Algorithm (CSA) methods, respectively, were obtained for the case 1 and reduction of costs about 54.60%, 11.70% and 9.40% compared to the literature, GA and PSO, respectively, was obtained for the second case.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Fluid Flow and Transfer Processes
Authors
Emerson Hochsteiner de Vasconcelos Segundo, Anderson Levati Amoroso, Viviana Cocco Mariani, Leandro dos Santos Coelho,