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Research Papers: Energy Systems Analysis

Multi-Objective Optimization of a Steam Surface Condenser Using the Territorial Particle Swarm Technique

[+] Author and Article Information
Pooya Mirzabeygi

Department of Mechanical and
Materials Engineering,
The University of Western Ontario,
London, ON N6A 5B9, Canada
e-mail: pmirzabe@uwo.ca

Chao Zhang

Mem. ASME
Department of Mechanical and
Materials Engineering,
The University of Western Ontario,
London, ON N6A 5B9, Canada
e-mail: czhang@eng.uwo.ca

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received August 3, 2014; final manuscript received January 10, 2016; published online March 10, 2016. Assoc. Editor: Abel Hernandez-Guerrero.

J. Energy Resour. Technol 138(5), 052001 (Mar 10, 2016) (10 pages) Paper No: JERT-14-1238; doi: 10.1115/1.4032727 History: Received August 03, 2014; Revised January 10, 2016

The multi-objective territorial particle swarm optimization (MOTPSO) technique is proposed in this work for the optimal design of steam surface condensers. The main objective of this work is to maximize the condensation rate in a condenser while the pressure loss is minimized. Various design parameters, such as the tube outside diameter, thickness, and pitch, are considered to find the optimal ones for shell and tube heat exchangers considered in this study. The two-dimensional computational fluid dynamics (CFD) analysis is performed to solve the fluid flow and heat transfer in the condenser to assess the performance of different designs.

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References

He, Y. , Tao, W. , Deng, B. , Li, X. , and Wu, Y. , 2005, “ Numerical Simulation and Experimental Study of Flow and Heat Transfer Characteristics of Shell Side Fluid in Shell-and-Tube Heat Exchangers,” 5th International Conference on Enhanced Compact and Ultra-Compact Heat Exchangers: Science, Engineering and Technology, Whistler, BC, Canada, Sept. 11–16, R. K. Shah , M. Ishizuka , T. M. Rudy , and V. V. Wadekar , eds., Engineering Conferences International, Hoboken, NJ, pp. 29–42.
Ramón, I . S. , and González, M. P. , 2001, “ Numerical Study of the Performance of a Church Window Tube Bundle Condenser,” Int. J. Therm. Sci., 40(2), pp. 195–204. [CrossRef]
Zeng, H. , Meng, J. A. , and Li, Z. , 2012, “ Numerical Study of a Power Plant Condenser Tube Arrangement,” Appl. Therm. Eng., 40, pp. 294–303. [CrossRef]
Kakac, S. , Liu, H. , and Pramuanjaroenkij, A. , 2012, Heat Exchangers: Selection, Rating, and Thermal Design, CRC Press, Boca Raton, FL.
Prithiviraj, M. , and Andrews, M. J. , 1998, “ Three Dimensional Numerical Simulation of Shell-and-Tube Heat Exchangers—Part I: Foundation and Fluid Mechanics,” Numer. Heat Transfer, Part A, 33(8), pp. 799–816. [CrossRef]
Davidson, B. , and Rowe, M. , 1981, “ Simulation of Power Plant Condenser Performance by Computational Methods: An Overview,” Power Condenser Heat Transfer Technology: Computer Modelling, Design, Fouling, Hemisphere, Washington, DC, pp. 17–49.
Al-Sanea, S. , Rhodes, N. , Tatchell, D. , and Wilkinson, T. , 1983, “ A Computer Model for Detailed Calculation of the Flow in Power Station Condensers,” Condensers: Theory and Practice (IChem E Symposium Series, Vol. 75), Pergamon, London, pp. 70–88.
Al-Sanea, S. , Rhodes, N. , and Wilkinson, T. , 1985, “ Mathematical Modelling of Two-Phase Condenser Flows,” 2nd International Conference on Multi-Phase Flow (ICMF '95), Kyoto, Japan, Apr. 3–7, BHRA, London, pp. 169–182.
Rabas, T. , and Kassem, A. , 1985, “ The Effect of Equal Shellside Pressure Drops on the Thermal Performance of Single-Pass, X-Shell, Steam Condensers,” ASME Paper No. HTD-44.
Mcnaught, J. , and Cotchin, C. , 1989, “ Heat Transfer and Pressure Drop in a Shell and Tube Condenser With Plain and Low-Fin Tube Bundles,” Chem. Eng. Res. Des., 67(2), pp. 127–133.
Bush, A. , Marshall, G. , and Wilkinson, T. , 1990, “ The Prediction of Steam Condensation Using a Three Component Solution Algorithm,” 2nd International Symposium on Condensers and Condensation, Bath, UK, Mar. 28–30, pp. 223–234.
Malin, M. R. , 1997, “ Modelling Flow in an Experimental Marine Condenser,” Int. Commun. Heat Mass Transfer, 24(5), pp. 597–608. [CrossRef]
Roy, R. , Gokhale, V. , and Ratisher, M. , 2001, “ A Computational Model of a Power Plant Steam Condenser,” ASME J. Energy Resour. Technol., 123(1), pp. 81–91. [CrossRef]
Prieto, M. , Suarez, I. , and Montanes, E. , 2003, “ Analysis of the Thermal Performance of a Church Window Steam Condenser for Different Operational Conditions Using Three Models,” Appl. Therm. Eng., 23(2), pp. 163–178. [CrossRef]
Ormiston, S. , Raithby, G. , and Carlucci, L. , 1995, “ Numerical Modeling of Power Station Steam Condensers—Part 1: Convergence Behavior of a Finite-Volume Model,” Numer. Heat Transfer, 27(1), pp. 81–102. [CrossRef]
Ormiston, S. , Raithby, G. , and Carlucci, L. , 1995, “ Numerical Modeling of Power Station Steam Condensers—Part 2: Improvement of Solution Behavior,” Numer. Heat Transfer, 27(1), pp. 103–125. [CrossRef]
Hu, H. G. , and Zhang, C. , 2007, “ A Modified KΕ Turbulence Model for the Simulation of Two-Phase Flow and Heat Transfer in Condensers,” Int. J. Heat Mass Transfer, 50(9–10), pp. 1641–1648. [CrossRef]
Hu, H. G. , and Zhang, C. , 2009, “ Evaluations of Closure Correlations for the Simulation of Two-Phase Flows in Condensers,” Heat Transfer Eng., 30(6), pp. 437–451. [CrossRef]
Hu, H. G. , and Zhang, C. , 2008, “ A New Inundation Correlation for the Prediction of Heat Transfer in Steam Condensers,” Numer. Heat Transfer, Part A, 54(1), pp. 34–46. [CrossRef]
Zhang, C. , 1994, “ Numerical Modeling Using a Quasi-Three-Dimensional Procedure for Large Power Plant Condensers,” ASME J. Heat Transfer, 116(1), pp. 180–188. [CrossRef]
Zhang, C. , 1996, “ Local and Overall Condensation Heat Transfer Behavior in Horizontal Tube Bundles,” Heat Transfer Eng., 17(1), pp. 9–30. [CrossRef]
Zhang, C. , and Bokil, A. , 1997, “ A Quasi-Three-Dimensional Approach to Simulate the Two-Phase Fluid Flow and Heat Transfer in Condensers,” Int. J. Heat Mass Transfer, 40(15), pp. 3537–3546. [CrossRef]
Zhang, C. , Sousa, A. , and Venart, J. , 1993, “ The Numerical and Experimental Study of a Power Plant Condenser,” ASME J. Heat Transfer, 115(2), pp. 435–445. [CrossRef]
Zhang, C. , Sousa, A. , and Venart, J. , 1991, “ Numerical Simulation of Different Types of Steam Surface Condensers,” ASME J. Energy Resour. Technol., 113(2), pp. 63–70. [CrossRef]
Zhang, C. , and Zhang, Y. , 1993, “ A Quasi-Three-Dimensional Approach to Predict the Performance of Steam Surface Condensers,” ASME J. Energy Resour. Technol., 115(3), pp. 213–220. [CrossRef]
Zhang, C. , and Zhang, Y. , 1994, “ Sensitivity Analysis of Heat Transfer Coefficient Correlations on the Predictions of Steam Surface Condensers,” Heat Transfer Eng., 15(2), pp. 54–63. [CrossRef]
Selbaş, R. , Kızılkan, Ö. , and Reppich, M. , 2006, “ A New Design Approach for Shell-and-Tube Heat Exchangers Using Genetic Algorithms From Economic Point of View,” Chem. Eng. Process. Process Intensif., 45(4), pp. 268–275. [CrossRef]
Ponce-Ortega, J. M. , Serna-González, M. , and Jiménez-Gutiérrez, A. , 2009, “ Use of Genetic Algorithms for the Optimal Design of Shell-and-Tube Heat Exchangers,” Appl. Therm. Eng., 29(2), pp. 203–209. [CrossRef]
Bell, K. J. , 1988, “ Delaware Method for Shell-Side Design,” Heat Transfer Equipment Design, R. K. Shah E. C. Subbarao , and R. A. Mashelkar , eds., CRC Press, Boca Raton, FL, pp. 145–166.
Fesanghary, M. , Damangir, E. , and Soleimani, I. , 2009, “ Design Optimization of Shell and Tube Heat Exchangers Using Global Sensitivity Analysis and Harmony Search Algorithm,” Appl. Therm. Eng., 29(5), pp. 1026–1031. [CrossRef]
Patel, V. K. , and Rao, R. V. , 2010, “ Design Optimization of Shell-and-Tube Heat Exchanger Using Particle Swarm Optimization Technique,” Appl. Therm. Eng., 30(11–12), pp. 1417–1425. [CrossRef]
Jayalal, M. L. , Kumar, L. S. , Jehadeesan, R. , Rajeswari, S. , Murty, S. S. , Balasubramaniyan, V. , and Chetal, S. C. , 2011, “ Steam Condenser Optimization Using Real-Parameter Genetic Algorithm for Prototype Fast Breeder Reactor,” Nucl. Eng. Des., 241(10), pp. 4136–4142. [CrossRef]
Sanaye, S. , and Dehghandokht, M. , 2011, “ Modeling and Multi-Objective Optimization of Parallel Flow Condenser Using Evolutionary Algorithm,” Appl. Energy, 88(5), pp. 1568–1577. [CrossRef]
Gholap, A. K. , and Khan, J. A. , 2007, “ Design and Multi-Objective Optimization of Heat Exchangers for Refrigerators,” Appl. Energy, 84(12), pp. 1226–1239. [CrossRef]
Hajabdollahi, H. , Ahmadi, P. , and Dincer, I. , 2011, “ Thermoeconomic Optimization of a Shell and Tube Condenser Using Both Genetic Algorithm and Particle Swarm,” Int. J. Refrig., 34(4), pp. 1066–1076. [CrossRef]
Mirzabeygi, P. , and Zhang, C. , 2015, “ Three-Dimensional Numerical Model for the Two-Phase Flow and Heat Transfer in Condensers,” Int. J. Heat Mass Transfer, 81, pp. 618–637. [CrossRef]
Mirzabeygi, P. , and Zhang, C. , 2015, “ Turbulence Modeling for Two Phase Flow and Heat Transfer in Condensers,” Int. J. Heat Mass Transfer, 89, pp. 229–241. [CrossRef]
Nejat, A. , Mirzabeygi, P. , and Panahi, M. S. , 2014, “ Airfoil Shape Optimization Using Improved Multiobjective Territorial Particle Swarm Algorithm With the Objective of Improving Stall Characteristics,” Struct. Multidiscip. Optim., 49(6), pp. 953–967. [CrossRef]
Kennedy, J. , and Eberhart, R. , 1995, “ Particle Swarm Optimization,” IEEE International Conference on Neural Networks, Perth, WA, Nov. 27–Dec. 1, pp. 1942–1948.
Banks, A. , Vincent, J. , and Anyakoha, C. , 2007, “ A Review of Particle Swarm Optimization—Part I: Background and Development,” Nat. Comput., 6(4), pp. 467–484. [CrossRef]
Eberhart, R. C. , and Shi, Y. , 2001, “ Particle Swarm Optimization: Developments, Applications and Resources,” Congress on Evolutionary Computation, Seoul, Korea, May 27–30, Vol. 1, pp. 81–86.
Ostadmohammadi Arani, B. , Mirzabeygi, P. , and Shariat Panahi, M. , 2013, “ An Improved PSO Algorithm With a Territorial Diversity-Preserving Scheme and Enhanced Exploration–Exploitation Balance,” Swarm Evol. Comput., 11, pp. 1–15. [CrossRef]
Deb, K. , Pratap, A. , Agarwal, S. , and Meyarivan, T. , 2002, “ A Fast and Elitist Multiobjective Genetic Algorithm: Nsga-Ii,” IEEE Trans. Evol. Comput., 6(2), pp. 182–197. [CrossRef]
Deb, K. , 2001, Multi-Objective Optimization Using Evolutionary Algorithms, Wiley, Hoboken, NJ.
Menter, F. R. , 1994, “ Two-Equation Eddy-Viscosity Turbulence Models for Engineering Applications,” AIAA J., 32(8), pp. 1598–1605. [CrossRef]

Figures

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Fig. 1

Nearest neighbor density estimator quality criterion for the leader selection from the archive [34]

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Fig. 2

Global best, personal best, and external archive concepts for two minimum objectives [34]

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Fig. 6

Validation of the CFD model by comparing the predicted heat flux with the experimental data: (a) 3rd row tubes, (b) 8th row tubes, (c) 13th row tubes, and (d) 18th row tubes from the bottom of the tube bundle

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Fig. 7

Set of nondominated solution, Pareto front, obtained by the algorithm

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Fig. 3

Optimization procedure

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Fig. 4

Configuration of the experimental condenser

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Fig. 5

Two-dimensional mesh generated for condenser simulations

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Fig. 8

Contours of the pressure for the selected design candidates: (a) highest condensation rate and (b) lowest pressure drop

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Fig. 9

Contours of the condensation rate for the selected design candidates: (a) highest condensation rate and (b) lowest pressure drop

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Fig. 10

Contours of the pressure and condensation rate for the preferred design: (a) pressure and (b) condensation rate

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