File(s) under permanent embargo
Assessing performance of genetic and firefly algorithms for optimal design of heat exchangers
conference contribution
posted on 2014-01-01, 00:00 authored by Rihanna Khosravi, Abbas KhosraviAbbas Khosravi, Saeid NahavandiThis paper aims to comprehensively investigate performance of evolutionary algorithms for design optimization of shell and tube heat exchangers (STHX). Genetic algorithm (GA) and firefly algorithm (FA) are implemented for finding the optimal values for seven key design variables of the STHX model.-NTU method and Bell-Delaware procedure are used for thermal modelling of STHX and calculation of shell side heat transfer coefficient and pressure drop. The purpose of STHX optimization is to maximize its thermal efficiency. Obtained results for several simulation optimizations indicate that GA is unable to find permissible and optimal solutions in the majority of cases. In contrast, design variables found by FA always lead to maximum STHX efficiency. As per optimization results, maximum efficiency (83.8%) can be achieved using several design configurations. However, these designs are bearing different dollar costs. Also it is found that the behaviour of the majority of decision variables remain consistent in different runs of the FA optimization process.
History
Volume
2014-JanuaryIssue
JanuaryPagination
3296 - 3301Publisher DOI
ISSN
1062-922XPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2014, IEEETitle of proceedings
Conference Proceedings - IEEE International Conference on Systems, Man and CyberneticsUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC