Abstract
This chapter presents design optimization case studies of shell-and-tube and plate-fin heat exchangers. The single objective and multi-objective design optimization case studies are solved by the Jaya algorithm and its variants such as self-adaptive Jaya, SAMP-Jaya and SAMPE-Jaya. The results of application of Jaya algorithm and its variants are compared with those of the other state-of-the-art optimization algorithms and the performance supremacy of the Jaya algorithm and its variants is established.
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References
Asadi, A., Songb, Y., Sundenc, B., & Xie, G. (2014). Economic optimization design of shell-and-tube heat exchangers by a cuckoo-search-algorithm. Applied Thermal Engineering, 73(1), 1032–1040.
Ayala, H. V. H., Keller, P., Morais, M. D. F., Mariani, V. C., Coelho, L. D. S., & Rao, R. V. (2016). Design of heat exchangers using a novel multiobjective free search differential evaluation paradigm. Applied Thermal Engineering, 94, 170–177.
Caputo, A. C., Pelagagge, P. M., & Salini, P. (2008). Heat exchanger design based on economic optimization. Applied Thermal Engineering, 10, 1151–1159.
Cavazzuti, M., Agnani, E., & Corticelli, M. A. (2015). Optimization of a finned concentric pipes heat exchanger for industrial recuperative burners. Applied Thermal Engineering, 84, 110–117.
Dhavale, S. V., Kulkarni, A. J., Shastri, A., & Kale, I. R. (2016). Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm. Natural Computing Applications. https://doi.org/10.1007/s00521-016-2683-z.
Du, T., Du, W., Che, K., & Cheng, L. (2015). Parametric optimization of overlapped helical baffled heat exchangers by Taguchi method. Applied Thermal Engineering, 85, 334–339.
Edwards, J. E. (2008). Design and rating of shell-and-tube heat exchangers. Teesside, UK: P and I Design Ltd.
Gharbi, N. E., Kheiri, A., Ganaoui, M. E., & Blanchard, R. (2015). Numerical optimization of heat exchangers with circular and non-circular shapes. Case Studies in Thermal Engineering, 6, 194–203.
Hadidi, A. (2016). A robust approach for optimal design of plat fin heat exchanger using biogeography based optimization (BBO) algorithm. Applied Energy, 150, 196–210.
Hadidi, A., & Nazari, A. (2013a). A new design approach for shell-and-tube heat exchangers using imperialist competitive algorithm (ICA) from economic point of view. Energy Conversion and Management, 67, 66–74.
Hadidi, A., & Nazari, A. (2013b). Design and economic optimization of shell-and-tube heat exchangers using biogeography-based (BBO) algorithm. Applied Thermal Engineering, 51(1–2), 1263–1272.
Han, W. T., Tang, L. H., & Xie, G. N. (2008). Performance comparison of particle swarm optimization and genetic algorithm in rolling fin-tube heat exchanger optimization design. In Proceedings of the ASME Summer Heat Transfer Conference, Jacksonville, FL (pp. 5–10).
Hosseini, R., & Ceylan, H. (2009). A new solution algorithm for improving performance of ant colony optimization. Applied Mathematics and Computation, 211, 75–84.
Incropera, F. P., & DeWitt, D. P. (1996). Fundamentals of heat and mass transfer. New York: Wiley.
Incropera, F. P., Dewitt, D. P., Bergman, T. L., & Lavine, A. S. (2010). Fundamentals of heat and mass transfer. New York: Wiley.
Jorge, A. W., Gut, M., & Pinto, J. M. (2004). Optimal configuration design for plate heat exchangers. International Journal of Heat and Mass Transfer, 47, 4833–4848.
Kang, L., Liu, Y., & Liang, X. (2015). Multi-objective optimization of heat exchanger networks based on analysis of minimum temperature difference and accumulated CO2 emissions. Applied Thermal Engineering, 87, 736–748.
Kern, D. Q. (1950). Process heat transfer. Tokyo: McGraw-Hill Book Company, Inc.
Lee, S. M., & Kim, K. Y. (2015). Multi-objective optimization of arc-shaped ribs in the channels of a printed circuit heat exchanger. International Journal of Thermal Sciences, 94, 1–8.
Lemouedda, A., Breuer, M., Franz, E., Botsch, T., & Delgado, A. (2010). Optimization of the angle of attack of delta-winglet vortex generators in a plate-fin-and-tube heat exchanger. International Journal of Heat and Mass Transfer, 53, 5386–5399.
Mishra, M., & Das, P. K. (2009). Thermo economic design-optimization of cross flow plate-fin heat exchanger using genetic algorithm. International Journal of Exergy, 6(6), 237–252.
Mishra, M., Das, P. K., & Sarangi, S. (2009). Second law based optimization of crossflow plate-fin heat exchanger using genetic algorithm. Applied Thermal Engineering, 29, 2983–2989.
Miyazaki, T., & Akisawa, A. (2009). The influence of heat exchanger parameters on the optimum cycle time of adsorption chillers. Applied Thermal Engineering, 29(13), 2708–2717.
Mohanty, A. K. (2016). Application of firefly algorithm for design optimization of a shell and tube heat exchanger from economic point of view. International Journal of Thermal Sciences, 102, 228–238.
Najafi, H., Najafi, B., & Hoseinpoori, P. (2011). Energy and cost optimization of a plate and fin heat exchanger using genetic algorithm. Applied Thermal Engineering, 31, 1839–1847.
Patel, V. K., & Rao, R. V. (2010). Design optimization of shell-and-tub heat exchanger using particle swarm optimization technique. Applied Thermal Engineering, 30(11–12), 1417–1425.
Peng, H., & Ling, X. (2008). Optimal design approach for the plate-fin heat exchangers using neural networks cooperated with genetic algorithms. Applied Thermal Engineering, 28, 642–650.
Rao, R. V., & Patel, V. K. (2013). Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm. Applied Mathematical Modelling, 37(3), 1147–1162.
Rao, R. V., & Patel, V. K. (2011). Optimization of mechanical draft counter flow wet cooling tower using artificial bee colony algorithm. Energy Conversion and Management, 52, 2611–2622.
Rao, R. V., & Patel, V. K. (2010). Thermodynamic optimization of cross flow plate-fin heat exchanger using a particle swarm optimization algorithm. International Journal of Thermal Sciences, 49, 1712–1721.
Rao, R. V., & Saroj, A. (2017a). Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm. Energy, 128, 785–800.
Rao, R. V., & Saroj, A. (2017b). Economic optimization of shell-and-tube heat exchangers using Jaya algorithm with maintenance consideration. Applied Thermal Engineering, 116, 473–487.
Rao, R. V., & Saroj, A. (2017c). A self-adaptive multi-population based Jaya algorithm for engineering optimization. Swarm and Evolutionary Computation. https://doi.org/10.1016/j.swevo.2017.04.008.
Rao, R. V., & Saroj, A. (2017d). Single objective and multi-objective design optimization of plate-fin heat exchangers using Jaya algorithm. Heat Transfer Engineering (in press).
Ravagnani, M. A. S. S., Silva, A. P., Biscaia, E. C., & Caballero, J. A. (2009). Optimal design of shell-and-tube heat exchangers using particle swarm optimization. Industrial and Engineering Chemistry Research, 48(6), 2927–2935.
Reneaume, J. M., & Niclout, N. (2003). MINLP optimization of plate-fin heat exchangers. Chemical and Biochemical Engineering Quarterly, 17, 65–76.
Sahin, A. S., Kilic, B., & Kilic, U. (2011). Design and economic optimization of shell-and-tube heat exchangers using artificial bee colony (ABC) algorithm. Energy Conversion and Management, 52(11), 1417–1425.
Sanaye, S., & Hajabdollahi, H. (2010). Thermal-economic multi-objective optimization of plate-fin heat exchanger using genetic algorithm. Applied Energy, 87, 1893–1902.
Selbas, R., Kizilkan, O., & Reppich, M. (2006). A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view. Chemical Engineering and Processing, 45, 268–275.
Shah, R. K., & Bell, K. J. (2009). CRC handbook of thermal engineering. Florida: CRC Press.
Shah, R. K., & Sekulic, D. P. (2003). Fundamentals of heat exchanger design. New York: Wiley.
Sinnot, R. K., Coulson, J. M., & Richardson, J. F. (1996). Chemical engineering design (Vol. 6). Boston MA: Butterworth-Heinemann.
Taal, M., Bulatov, I., Klemes, J., & Stehlik, P. (2003). Cost estimation and energy price forecast for economic evaluation of retrofit projects. Applied Thermal Engineering, 23, 1819–1835.
Turgut, O. E., & Çoban, M. T. (2016). Thermal design of spiral heat exchangers and heat pipes through global best algorithm. Heat Mass Transfer, 1–18. https://doi.org/10.1007/s00231-016-1861-y.
Turgut, O. E., Turgut, M. S., & Coban, M. T. (2014). Design and economic investigation of shell and tube heat exchangers using improved intelligent tuned harmony search algorithm. Ain Shams Engineering Journal, 5(4), 1215–1231.
Wang, Z., & Li, Y. (2015). Irreversibility analysis for optimization design of plate fin heat exchangers using a multi-objective cuckoo search algorithm. Energy Conversion and Management, 101, 126–135.
Wong, J. Y. Q., Sharma, S., & Rangaiah, G. P. (2016). Design of shell-and-tube heat exchangers for multiple objectives using elitist non-dominated sorting genetic algorithm with termination criteria. Applied Thermal Engineering, 93, 888–899.
Xie, G. N., Sunden, B., & Wang, Q. W. (2008). Optimization of compact heat exchangers by a genetic algorithm. Applied Thermal Engineering, 28, 895–906.
Yousefi, M., Darus, A. N., & Mohammadi, H. (2012). An imperialist competitive algorithm for optimal design of plate-fin heat exchangers. International Journal of Heat and Mass Transfer, 55, 3178–3185.
Yu, X. C., Cui, Z. Q., & Yu, Y. (2008). Fuzzy optimal design of the plate-fin heat exchangers by particle swarm optimization, In Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, Jinan, China (pp. 574–578).
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Venkata Rao, R. (2019). Single- and Multi-objective Design Optimization of Heat Exchangers Using Jaya Algorithm and Its Variants. In: Jaya: An Advanced Optimization Algorithm and its Engineering Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-78922-4_4
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DOI: https://doi.org/10.1007/978-3-319-78922-4_4
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