An imperialist competitive algorithm for optimal design of plate-fin heat exchangers

This paper presents the application of imperialist competitive algorithm (ICA) for optimization of a cross-flow plate fin heat exchanger. Minimization of total weight and total annual cost are considered as objectives. Seven design parameters, namely, heat exchanger length at hot and cold sides, fin...

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Bibliographic Details
Published in:International journal of heat and mass transfer 2012-05, Vol.55 (11-12), p.3178-3185
Main Authors: Yousefi, M., Darus, A.N., Mohammadi, H.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Constrained optimization
Design parameters
Devices using thermal energy
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Genetic algorithm
Genetic algorithms
Heat exchangers
Heat exchangers (included heat transformers, condensers, cooling towers)
Imperialist competitive algorithm
Mathematical analysis
Mathematical models
Optimization
Plate-fin heat exchanger
Plate-fin heat exchangers
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Summary:This paper presents the application of imperialist competitive algorithm (ICA) for optimization of a cross-flow plate fin heat exchanger. Minimization of total weight and total annual cost are considered as objectives. Seven design parameters, namely, heat exchanger length at hot and cold sides, fin height, fin frequency, fin thickness, fin-strip length and number of hot side layers are selected as optimization variables. A case study from literature is presented to show the effectiveness of the proposed algorithm. The numerical results reveal that ICA can find optimum configuration with higher accuracy in less computational time when compared to conventional genetic algorithm (GA).
ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2012.02.041