Optimal Design of Shell-and-Tube Heat Exchanger Based on Particle Swarm Optimization Technique

The paper studies optimization of shell-and-tube heat exchangers using the particle swarm optimization technique. A total cost function is formulated based on initial and annual operating costs of the heat exchangers. Six variables – shell inside diameter, tube diameter, baffle spacing, baffle cut, number of tube passes and tube layouts (triangular or square) – are considered as the design parameters. The particle swarm optimization selects the parameters so that the system has minimum total cost. Although generalization is not possible for any case, for minimization of cost functions of the three different cases studied in this research, larger tube outer diameter, triangular layout, baffle cut equalling 0.25 of shell diameter and one pass for each tube result in optimum designs. The other two parameters show no fixed trend.

[1]  Randy L. Haupt,et al.  Practical Genetic Algorithms , 1998 .

[2]  S. Garimella,et al.  Investigation of heat transfer in rectangular microchannels , 2005 .

[3]  O. Weck,et al.  A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND THE GENETIC ALGORITHM , 2005 .

[4]  U. V. Shenoy,et al.  Heat exchanger design targets for minimum area and cost , 2000 .

[5]  Yavuz Özçelik,et al.  Exergetic optimization of shell and tube heat exchangers using a genetic based algorithm , 2007 .

[6]  Mingtian Xu,et al.  Optimization design of shell-and-tube heat exchanger by entropy generation minimization and genetic algorithm , 2009 .

[7]  Narayana Prasad Padhy,et al.  Comparison of Particle Swarm Optimization and Genetic Algorithm for TCSC-based Controller Design , 2007 .

[8]  Geoffrey F. Hewitt.  Heat exchanger design handbook, 1998 , 1998 .

[9]  Reşat Selbaş,et al.  A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view , 2006 .

[10]  Igor Bulatov,et al.  Cost estimation and energy price forecasts for economic evaluation of retrofit projects , 2003 .

[11]  René Thomsen,et al.  A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[12]  Kuppan Thulukkanam.  Heat Exchanger Design Handbook , 2013 .

[13]  Yusuf Ali Kara,et al.  A computer program for designing of shell-and-tube heat exchangers , 2004 .

[14]  M. Serna,et al.  A Compact Formulation of the Bell–Delaware Method for Heat Exchanger Design and Optimization , 2005 .

[15]  Eduardo M. Queiroz,et al.  Design optimization of shell-and-tube heat exchangers , 2008 .

[16]  Antonio Casimiro Caputo,et al.  Heat exchanger design based on economic optimisation , 2008 .

[17]  Donald Quentin Kern,et al.  Process heat transfer , 1950 .

[18]  Dogan Eryener,et al.  Thermoeconomic optimization of baffle spacing for shell and tube heat exchangers , 2006 .

[19]  B. V. Babu,et al.  Differential evolution strategies for optimal design of shell-and-tube heat exchangers , 2007 .