Thermal-economic multi-objective optimization of shell and tube heat exchanger using particle swarm optimization (PSO)

Abstract Many studies are performed by researchers about shell and tube heat exchanger (STHE) but the multi-objective particle swarm optimization (PSO) technique has never been used in such studies. This paper presents application of thermal-economic multi-objective optimization of STHE using PSO. For optimal design of a STHE, it was first thermally modeled using e-number of transfer units method while Bell–Delaware procedure was applied to estimate its shell side heat transfer coefficient and pressure drop. Multi objective PSO (MOPSO) method was applied to obtain the maximum effectiveness (heat recovery) and the minimum total cost as two objective functions. The results of optimal designs were a set of multiple optimum solutions, called ‘Pareto optimal solutions’. In order to show the accuracy of the algorithm, a comparison is made with the non-dominated sorting genetic algorithm (NSGA-II) and MOPSO which are developed for the same problem.

[1]  Jiangfeng Guo,et al.  Multi-objective optimization of heat exchanger based on entransy dissipation theory in an irreversible Brayton cycle system , 2013 .

[2]  Igor Bulatov,et al.  Optimisation for the retrofit of large scale heat exchanger networks with different intensified heat transfer techniques , 2013 .

[3]  Arturo Jiménez-Gutiérrez,et al.  Use of genetic algorithms for the optimal design of shell-and-tube heat exchangers , 2009 .

[4]  D. P. Sekulic,et al.  Fundamentals of Heat Exchanger Design , 2003 .

[5]  Sergio Mussati,et al.  Optimization mathematical model for the detailed design of air cooled heat exchangers , 2014 .

[6]  Reinhard Radermacher,et al.  Approximation assisted optimization of headers for new generation of air-cooled heat exchangers , 2013 .

[7]  Vimal Savsani,et al.  Optimization of a plate-fin heat exchanger design through an improved multi-objective teaching-learning based optimization (MO-ITLBO) algorithm , 2014 .

[8]  Min Zhao,et al.  An effective layer pattern optimization model for multi-stream plate-fin heat exchanger using genetic algorithm , 2013 .

[9]  Salim Fettaka,et al.  Design of shell-and-tube heat exchangers using multiobjective optimization , 2013 .

[10]  Frank Kreith,et al.  CRC Handbook of Thermal Engineering , 1999 .

[11]  Y. Hwang,et al.  Applicability of entransy dissipation based thermal resistance for design optimization of two-phase heat exchangers , 2013 .

[12]  M. Fesanghary,et al.  Design optimization of shell and tube heat exchangers using global sensitivity analysis and harmony search algorithm , 2009 .

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

[14]  Amin Hadidi,et al.  Design and economic optimization of shell-and-tube heat exchangers using biogeography-based (BBO) algorithm , 2013 .

[15]  Carlos A. Coello Coello,et al.  Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

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

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

[18]  Viviani C. Onishi,et al.  Mathematical programming model for heat exchanger design through optimization of partial objectives , 2013 .

[19]  Hassan Hajabdollahi,et al.  Multi-objective optimization of shell and tube heat exchangers , 2010 .

[20]  Gade Pandu Rangaiah,et al.  Improved heat exchanger network retrofitting using exchanger reassignment strategies and multi-objective optimization , 2014 .

[21]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[22]  R. Hilbert,et al.  Multi-objective shape optimization of a heat exchanger using parallel genetic algorithms , 2006 .

[23]  Omid Bozorg Haddad,et al.  Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO , 2012, Expert Syst. Appl..

[24]  R. Rao,et al.  Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm , 2013 .