Thermal-Economic Optimization of Shell and Tube Heat Exchanger by using a new Multi-Objective optimization method

Document Type : Full Length Research Article

Authors

1 Faculty of Mechanical Engineering, Semnan University, P.O. Box 35131-19111, Semnan, Iran

2 Faculty of Mechanical Engineering, Semnan University, P.O. Box 35131-19111, Semnan, Iran.

Abstract

Many studies are performed by researchers about Shell and Tube Heat Exchanger but the Multi-Objective Big Bang-Big Crunch algorithm (MOBBA) technique has never been used in such studies. This paper presents application of Thermal-Economic Multi-Objective Optimization of Shell and Tube Heat Exchanger Using MOBBA.
For optimal design of a shell and tube heat exchanger, it was first thermally modeled using e-NTU method while Bell-Delaware procedure was applied to estimate its shell side heat transfer coefficient and pressure drop. MOBBA 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 MOBBA which are developed for the same problem.

Keywords

Main Subjects

References

[1]  G.F.Hewitt, editor. Heat exchanger design handbook. New York: Begell House; (1998).
[2]  R.K. Shah, Bell KJ. The CRC handbook of thermal engineering. CRC Press; (2000).
[3]  V. Rao, V. Patel, Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm, Applied Mathematical Modeling, 37(3), 1147-1162, (2013).
[4]  Min Zhao , Yanzhong Li,An effective layer pattern optimization model for multi-stream plate-fin heat exchanger using genetic algorithm, International Journal of Heat and Mass Transfer, 60, 480–489, (2013).
[5] Suxin Qian, Long Huang, Vikrant Aute, Yunho Hwang,  ReinhardRadermacher, Applicability of entransy dissipation based thermal resistance for design optimization of two-phase heat exchangers. Applied Thermal Engineering, 55, (1), 140–148, (2013).
[6] KhaledSaleh, Omar Abdelaziz, Vikrant Aute, ReinhardRadermacher, ShapourAzarm, Approximation assisted optimization of headers for new generation of air-cooled heat exchangers. Applied Thermal Engineering, 61(2), 817–824, (2013).
[7] Amin Hadidi, Ali Nazari, Design and economic optimization of shell-and-tube heat exchangers using biogeography-based (BBO) algorithm. Applied Thermal Engineering, 51(1), 1263–1272, (2013).
[8]  Salim Fettaka, Jules Thibault, Yash Gupta. Design of shell-and-tube heat exchangers using multiobjective optimization. International Journal of Heat and Mass Transfer, 60, 343–354, (2013).
[9]  Bhargava Krishna Sreepathi, G.P. Rangaiah, Improved heat exchanger network retrofitting using exchanger reassignment strategies and multi-objective optimization. Energy Available online 24 February 2014 In Press, Corrected Proof.
[10]  Viviani C. Onishi, Mauro A.S.S. Ravagnani, José A. Caballero, Mathematical programming model for heat exchanger design through optimization of partial objectives, Energy Conversion and Management, 74, 60–69, (2013)
[11] JiangfengGuo, XiulanHuai , Xunfeng Li, Jun Cai, Yongwei Wang. Multi-objective optimization of heat exchanger based on entransy dissipation theory in an irreversible Brayton cycle system. Energy, 63,  95–102, (2013).
[12] R. VenkataRao ,Vivek Patel, Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm. Applied Mathematical Modelling, 37(3), 1147–1162, (2013).
[13]  Ming Pan, Igor Bulatov, Robin Smith, Jin-Kuk Kim, Optimisation for the retrofit of large scale heat exchanger networks with different intensified heat transfer techniques. Applied Thermal Engineering, 53( 2) , 373–386, (2013).
[14] Juan I. Manassaldi , Nicolás J. Scenna, Sergio F. Mussati, Optimization mathematical model for the detailed design of air cooled heat exchangers. Energy, 64, 734–746, (2014)
[15]  Vivek Patel, Vimal Savsani, Optimization of a plate-fin heat exchanger design through an improved multi-objective teaching-learning based optimization (MO-ITLBO) algorithm. Chemical Engineering Research and Design, Available online 11 February 2014 In Press, Accepted Manuscript.
[16]  L.H. Costa, M. Queiroz, Design optimization of shell-and-tube heat exchangers, Applied Thermal Engineering, 28, 1798-1805,(2008).
[17] A. Caputo, P. Pelagagge, P. Salini, Heat exchanger design based on economic optimization, Applied Thermal Engineering, 28(10), 1151–1159, (2008).
[18] M. Fesanghary, E. Damangir, I. Soleimani, Design optimization of shell and tube heat exchangers using global sensitivity analysis and harmony search algorithm, Applied Thermal Engineering, 29, 1026–1031, (2009).
[19] R. Hilbert, G. Janiga, R. Baron, D.Venin, Multi-objective shape optimization of a heat exchanger using parallel genetic algorithms, International Journal of Heat and Mass Transfer,49(15–16), 2567–2577, (2006).
[20] S. Sanaye, H. Hajabdollahi, Multi-objective optimization of shell and tube heat exchangers, Applied Thermal Engineering, 30(14–15), 1937–1945,(2010).
[21] J. Ponce-Ortega, M. Serna-González, A. Jiménez-Gutiérrez, Use of genetic algorithms for the optimal design of shell-and-tube heat exchangers, Applied Thermal Engineering, 29(2–3), 203–209,(2009).
[22]  Jie Yang, Sun-Ryung Oh, Wei Liu,Optimization of shell-and-tube heat exchangers using a general design approach motivated by constructal theory.International Journal of Heat and Mass Transfer,Volume 77, October 2014, Pages 1144–1154.
[23] DaniëlWalraven, Ben Laenen, William D’haeseleer,Optimum configuration of shell-and-tube heat exchangers for the use in low-temperature organic Rankine cycles.Energy Conversion and Management. Volume 83, July 2014, Pages 177–187.
[24] Jie Yang, Aiwu Fan, Wei Liu, Anthony M. Jacobi.Optimization of shell-and-tube heat exchangers conforming to TEMA standards with designs motivated by constructal theory.Energy Conversion and Management.Volume 78, February 2014, Pages 468–476.
[25] Mohsen Amini, MajidBazargan.Two objective optimization in shell-and-tube heat exchangers using genetic algorithm.Applied Thermal Engineering.Volume 69, Issues 1–2, August 2014, Pages 278–285.
[26] R.K. Shah, P.Sekulic, Fundamental of Heat Exchanger Design, John Wiley & Sons, Inc, (2003).
[27] E. Mehdipour, O. Haddad, M. Tabari, M. Mari. Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO, Expert Systems with Applications, 39(3), (2012). 
[28] D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Reading, MA: Addison-Wesley, (1989).
[29] Osman K. Erol, Ibrahim Eksin,A new optimization method: Big Bang–Big Crunch, Advances in Engineering Software, 37( 2), February 2006, Pages 106–111.
[30] H. Tang , J. Zhou , S. Xue , L. Xie, Big Bang-Big Crunch optimization for parameter estimation in structural systems, Mechanical Systems and Signal Processing, 24, 2888–2897, (2010).

Files

History

  • Receive Date: 14 January 2014
  • Revise Date: 24 July 2014
  • Accept Date: 19 June 2016

Share

How to cite

Statistics