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

[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).