Use of genetic algorithms for the optimal design of shell-and-tube heat exchangers

This paper presents an approach based on genetic algorithms for the optimal design of shell-and-tube heat exchangers. The approach uses the Bell–Delaware method for the description of the shell-side flow with no simplifications. The optimization procedure involves the selection of the major geometri...

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Bibliographic Details
Published in:Applied thermal engineering 2009-02, Vol.29 (2), p.203-209
Main Authors: Ponce-Ortega, José M., Serna-González, Medardo, Jiménez-Gutiérrez, Arturo
Format: Article
Language:English
Subjects:
Applied sciences
Bell–Delaware
Devices using thermal energy
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Genetic algorithm
Heat exchangers (included heat transformers, condensers, cooling towers)
Heat transfer
Optimization
Shell-and-tube heat exchangers
Theoretical studies. Data and constants. Metering
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Summary:This paper presents an approach based on genetic algorithms for the optimal design of shell-and-tube heat exchangers. The approach uses the Bell–Delaware method for the description of the shell-side flow with no simplifications. The optimization procedure involves the selection of the major geometric parameters such as the number of tube-passes, standard internal and external tube diameters, tube layout and pitch, type of head, fluids allocation, number of sealing strips, inlet and outlet baffle spacing, and shell-side and tube-side pressure drops. The methodology takes into account the geometric and operational constraints typically recommended by design codes. The examples analyzed show that genetic algorithms provide a valuable tool for the optimal design of heat exchangers.
ISSN:1359-4311
DOI:10.1016/j.applthermaleng.2007.06.040