Abstract
Shell and tube heat exchangers (STHE) are the most common type of heat exchangers widely used in various kinds of industrial applications. Cost minimization of these heat exchangers is of prime concern for designers as well as for users. Heat exchanger design involves processes such as selection of geometric and operating parameters. Generally, different exchangers geometries are rated to identify those that satisfy a given heat duty and a set of geometric and operational constraints. In the present study we have considered minimization of total annual cost as an objective function. The different variables used include shell internal diameter, outer tube diameter and baffle spacing for which two tube layout viz. triangle and square are considered. The optimization tool used is differential evolution (DE) algorithm, a nontraditional stochastic optimization technique. Numerical results indicate that, DE can be used effectively for dealing with such types of problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ozkol, G., Komurgoz, I.: Determination of the optimum geometry of the heat exchanger body via a genetic algorithm. Int. J. Heat Mass Transf. 48, 283–296 (2005)
Hilbert, R., Janiga, G., Baron, R., Thevenin, D.: Multi objective shape optimization of a heat exchanger using parallel genetic algorithm. Int. J. Heat Mass Transf. 49, 2567–2577 (2006)
Xie, G.N., Sunden, B., Wang, Q.W.: Optimization of compact heat exchangers by a genetic algorithm. Appl. Therm. Eng. 28, 895–906 (2008)
Ponce-Ortega, J.M., Serna-Gonzalez, M., Jimenez-Gutierrez, A.: Use of genetic algorithms for the optimal design of shell-and-tube heat exchangers. Appl. Therm. Eng. 29, 203–209 (2009)
Ponce-Ortega, J.M., Serna-Gonzalez, M., Jimenez-Gutierrez, A.: Design and optimization of multipass heat exchangers. Chem. Eng. Process. 47, 906e913 (2008)
Saffar-Avval, M., Damangir, E.: A general correlation for determining optimum baffle spacing for all types of shell-and-tube exchangers. Int. J. Heat Mass Transf. 38, 2501–2506 (1995)
Soltan, B.K., Saffar-Avval, M., Damangir, E.: Minimizing capital and operating costs of shell-and-tube condensers using optimum baffle spacing. Appl. Therm. Eng. 24, 2801–2810 (2004)
Storn, R., Price, K.: Differential evolution—A simple and efficient adaptive scheme for global optimization over continuous spaces. Technical report TR-95-012, International Computer Science Insitute (1995)
Storn, R., Price, K.: DE: a simple evolution strategy for fast optimization. Dr. Dobb’s J. 18–24, 78, (1997)
Caputo, A.C., Pelagagge, P.M., Salini, P.: Heat exchanger design based on economic optimization. Appl. Therm. Eng. 28, 1151–1159 (2008)
Kern, D.Q.: Process Heat Transfer. McGraw-Hill, New York (1950)
Fraas, A.P.: Heat Exchanger Design, 2nd edn. Wiley, New York (1989)
Ohadi, M.M.: The Engineering Handbook. CRC, Florida (2000)
Sinnot, R.K., Coulson, J.M., Richardson, J.F.: Chemical Engineering Design, vol. 6. Butterworth-Heinemann, Boston (1996)
Peters, M.S., Timmerhaus, K.D.: Plant Design and Economics for Chemical Engineers. McGraw-Hill, New York (1991)
Patel, V.K., Rao, R.V.: Design optimization of shell-and-tube heat exchanger using particle swarm optimization technique. Appl. Therm. Eng. 30, 1417–1425 (2010)
Taal, M., Bulatov, I., Klemes, J., Stehlik, P.: Cost estimation and energy price forecast for economic evaluation of retrofit projects. Appl. Therm. Eng. 23, 1819–1835 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer India
About this paper
Cite this paper
Singh, P., Pant, M. (2014). Design Optimization of Shell and Tube Heat Exchanger Using Differential Evolution Algorithm. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 259. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1768-8_63
Download citation
DOI: https://doi.org/10.1007/978-81-322-1768-8_63
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1767-1
Online ISBN: 978-81-322-1768-8
eBook Packages: EngineeringEngineering (R0)