In this paper, four types of plate-fin heat exchangers applied in 200 kW microturbines are investigated. Multi-objective optimization algorithm, NSGA-II (nondominated sorting genetic algorithm (GA)), is employed to maximize the efficiency of the recuperator and minimize its total cost, simultaneously. Feasible ranges of pressure drop, Reynolds number, and recuperator efficiency are obtained according to a penalty function. The optimizations are conducted for rectangular fin, triangular fin, louver fin, and offset strip fin recuperators with cross and counter flow arrangements. The results of each optimization problem are presented as a set of designs, called “Pareto-optimal solutions.” Afterward, for the designs, cycle efficiency and net present value (NPV) are compared based on technical and economic criteria, respectively. Maximum cycle efficiency occurring in a recuperator with louver fin and counter flow arrangement is found to be 38.17%. Finally, the optimum designs are compared based on nondominated sorting concept leading to the optimal solutions.
Issue Section:
Heat Exchangers
References
1.
Shah
, R. K.
, 2005
, “Compact Heat Exchangers for Microturbines
,” Fifth Conference on Enhanced, Compact and Ultra-Compact Heat Exchangers: Science, Engineering and Technology
, Whistler, BC, Canada, Sept. 11–16, pp. 247
–257
.2.
Omatete
, O. O.
, Maziasz
, P. J.
, Pint
, B. A.
, and Stinton
, D. P.
, 2000
, “Assessment of Recuperator Materials for Microturbines
,” Oak Ridge National Laboratory, Oak Ridge, TN, Report No. ORNL/TM-2000/304
.3.
McDonald
, C. F.
, 2003
, “Recuperator Considerations for Future Higher Efficiency Microturbines
,” Appl. Therm. Eng.
, 23
(12
), pp. 1463
–1487
.4.
Shah
, R. K.
, and Sekulic
, D. P.
, 2003
, Fundamentals of Heat Exchanger Design
, Wiley
, New York
.5.
Manglik
, R. M.
, and Bergles
, A. E.
, 1995
, “Heat Transfer and Pressure Drop Correlations for the Rectangular Offset Strip Fin Compact Heat Exchanger
,” Exp. Therm. Fluid Sci.
, 10
(2
), pp. 171
–180
.6.
Chang
, Y.
, and Wang
, C. A.
, 1997
, “Generalized Heat Transfer Correlation for Louver Fin Geometry
,” Int. J. Heat Mass Transfer
, 40
(3
), pp. 533
–544
.7.
Chang
, Y.
, Hsu
, K.
, Lin
, Y.
, and Wang
, C.
, 2000
, “A Generalized Friction Correlation for Louver Fin Geometry
,” Int. J. Heat Mass Transfer
, 43
(12
), pp. 2237
–2243
.8.
Traverso
, A.
, and Massardo
, A. F.
, 2005
, “Optimal Design of Compact Recuperators for Microturbine Application
,” Appl. Therm. Eng.
, 25
(14
), pp. 2054
–2071
.9.
Qiuwang
, W.
, Hongxia
, L.
, Gongnan
, X.
, Min
, Z.
, Laiqin
, L.
, and ZhenPing
, F.
, 2007
, “Genetic Algorithm Optimization for Primary Surfaces Recuperator of Microturbine
,” ASME J. Eng. Gas Turbines Power
, 129
(2
), pp. 436
–442
.10.
Wen, J., Yang, H., Tong, X., Li, K., Wang, S., and Li, Y.,
2016
, “Optimization Investigation on Configuration Parameters of Serrated Fin in Plate-Fin Heat Exchanger Using Genetic Algorithm
,” Int. J. Therm. Sci.
, 101
, pp. 116
–125
.11.
Peng
, H.
, and Ling
, X.
, 2008
, “Optimal Design Approach for the Plate-Fin Heat Exchangers Using Neural Networks Cooperated With Genetic Algorithms
,” Appl. Therm. Eng.
, 28
(5
), pp. 642
–650
.12.
Sanaye
, S.
, and Hajabdollahi
, H.
, 2010
, “Thermal-Economic Multi-Objective Optimization of Plate Fin Heat Exchanger Using Genetic Algorithm
,” Appl. Energy
, 87
(6
), pp. 1893
–1902
.13.
Ahmadi
, P.
, Hajabdollahi
, H.
, and Dincer
, I.
, 2011
, “Cost and Entropy Generation Minimization of a Cross-Flow Plate Fin Heat Exchanger Using Multi-Objective Genetic Algorithm
,” ASME J. Heat Transfer
, 133
(2
), p. 021801
.14.
Zhang, L., Yang, C., and Zhou, J.,
2010
, “A Distributed Parameter Model and its Application in Optimizing the Plate-Fin Heat Exchanger Based on the Minimum Entropy Generation
,” Int. J. Therm. Sci.
, 49
(8), pp. 1427
–1436
.15.
Soares
, C.
, 2007
, Microturbines: Applications for Distributed Energy Systems
, Butterworth-Heinemann
, Oxford, UK
.16.
Dong
, J.
, Chen
, J.
, Chen
, Z.
, Zhang
, W.
, and Zhou
, Y.
, 2007
, “Heat Transfer and Pressure Drop Correlations for the Multi-Louvered Fin Compact Heat Exchangers
,” Energy Convers. Manage.
, 48
(5
), pp. 1506
–1515
.17.
Kays
, W. M.
, and London
, A. L.
, 1984
, Compact Heat Exchangers
, 3rd ed., McGraw-Hill
, New York
.18.
Kaviri
, A. G.
, Jaafar
, M. N. M.
, and Lazim
, T. M.
, 2012
, “Modeling and Multi-Objective Exergy Based Optimization of a Combined Cycle Power Plant Using a Genetic Algorithm
,” Energy Convers. Manage.
, 58
, pp. 94
–103
.19.
Bejan
, A.
, Tsatsaronis
, G.
, and Moran
, M.
, 1996
, Thermal Design and Optimization
, Wiley
, New York
.20.
EEBPP,
2001
, Compact Heat Exchangers: A Training Package for Engineers
, Energy Efficiency Best Practice Programme, London, pp. 160
–185
.21.
Wang
, Z.
, and Li
, Y.
, 2015
, “Irreversibility Analysis for Optimization Design of Plate Fin Heat Exchangers Using a Multi-Objective Cuckoo Search Algorithm
,” Energy Convers. Manage.
, 101
, pp. 126
–135
.22.
Sadeghi
, S.
, Saffari
, H.
, and Bahadormanesh
, N.
, 2015
, “Optimization of a Modified Double-Turbine Kalina Cycle by Using Artificial Bee Colony Algorithm
,” Appl. Therm. Eng.
, 91
, pp. 19
–32
.23.
Saffari
, H.
, Sadeghi
, S.
, Khoshzat
, M.
, and Mehregan
, P.
, 2016
, “Thermodynamic Analysis and Optimization of a Geothermal Kalina Cycle System Using Artificial Bee Colony Algorithm
,” Renewable Energy
, 89
, pp. 154
–167
.24.
Karaboga
, D.
, and Akay
, B.
, 2009
, “A Comparative Study of Artificial Bee Colony Algorithm
,” Appl. Math. Comput.
, 214
(1
), pp. 108
–132
.25.
Feng
, Y.
, Zhang
, Y.
, Li
, B.
, Yang
, J.
, and Shi
, Y.
, 2015
, “Comparison Between Regenerative Organic Rankine Cycle (RORC) and Basic Organic Rankine Cycle (BORC) Based on Thermoeconomic Multi-Objective Optimization Considering Exergy Efficiency and Levelized Energy Cost (LEC)
,” Energy Convers. Manage.
, 96
, pp. 58
–71
.26.
Sadeghzadeh
, H.
, Ehyaei
, M. A.
, and Rosen
, M. A.
, 2015
, “Techno-Economic Optimization of a Shell and Tube Heat Exchanger by Genetic and Particle Swarm Algorithms
,” Energy Convers. Manage.
, 93
, pp. 84
–91
.27.
Golberg, D. E., and Holland, J. H.,
1988
, “Genetic Algorithms and Machine Learning
,” Mach. Learn.
, 3
(2), pp. 95
–99
.28.
Holland, J. H.,
1992
, “Adaptation in Natural and Artificial Systems
,” An Introductory Analysis With Applications to Biology, Control, and Artificial Intelligence
, MIT Press, London.29.
Schaffer
, J. D.
, 1985
, “Multiple Objective Optimization With Vector Evaluated Genetic Algorithms
,” First International Conference on Genetic Algorithms
, Pittsburgh, PA, July 24–26, pp. 93
–100
.30.
Srinivas
, N.
, and Deb
, K.
, 1994
, “Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
,” IEEE Trans. Evol. Comput.
, 2
(3
), pp. 221
–248
.31.
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
.32.
Deb
, K.
, and Goel
, T.
, 2001
, “Controlled Elitist Non-Dominated Sorting Genetic Algorithms for Better Convergence
,” First International Conference on Evolutionary Multi-Criterion Optimization
(EMO), Zurich, Switzerland, Mar. 7–9, pp. 385
–399
.33.
Ho
, C. Y.
, and Chu
, T. K.
, 1977
, “Electrical Resistivity and Thermal Conductivity of Nine Selected AISI Stainless Steels
,” Thermophysical and Electronic Properties Information Analysis Center, Purdue University, West Lafayette, IN, Report No. CINDAS Report 45
.34.
Bergman
, T. L.
, Lavine
, A. S.
, and Incropera
, F. P.
, 2011
, Introduction to Heat Transfer
, Wiley
, New York
.Copyright © 2017 by ASME
You do not currently have access to this content.
