Thermodynamic and Economic Optimization of Plate-Fin Heat Exchangers Using the Grasshopper Optimization Algorithm
Year 2024,
, 1 - 9, 01.06.2024
Amin Farzin
,
Saeed Mehran
,
Kaveh Salmalian
Abstract
The present study demonstrates the successful application of the grasshopper optimization algorithm (GOA) to the thermodynamic and economic modeling and optimization of cross-flow plate-fin heat exchangers with offset strip fins. To this end, the ε-NTU method was played to determine the efficiency and pressure drop. Seven parameters, namely the exchanger length at hot and cold sides, number of hot-side layers, fin frequency, fin-strip length, fin thickness, and fin height, constitute the design parameters for the optimization of the heat exchanger. The efficiency of the heat exchanger, the entropy generation, and the total annual system cost were considered the objective functions. Accordingly, the optimization of each objective function was investigated separately. The efficiency and accuracy of the proposed algorithm were validated using two examples from the literature. Comparison between the obtained results and those in the previous studies indicates that GOA performed better in minimizing total annual cost and entropy generation and maximizing efficiency.
Supporting Institution
Langarud Branch, Islamic Azad University, Langarud, Iran
Thanks
Langarud Branch, Islamic Azad University, Langarud, Iran
References
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- E. Işık, M. Inallı, “Artificial neural networks and adaptive neuro-fuzzy inference systems approaches to forecast the meteorological data for HVAC: the case of cities for Turkey”, Energy, 154, 7-16, 2018.
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- O.E. Turgut, “Hybrid chaotic quantum behaved particle swarm optimization algorithm for thermal design of plate fin heat exchangers”, Appl. Math. Mod., 40, 50-69, 2016.
- Z. Wang and Y. Li, “A combined method for surface selection and layer pattern optimization of a multistream plate-fin heat exchanger”, Appl. Energy, 165, 815-827, 2016.
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- M. Yousefi, A.N. Darus, H. Mohammadi, “Second law based optimization of a plate fin heat exchanger using imperialist competitive algorithm”, Int. J. Phys. Sci., 6, 4749-4759, 2011.
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- S. Banooni, H. Zarea, and M. Molana, “Thermodynamic and economic optimization of plate fin heat exchangers using the bees algorithm”, Heat Trans. Asian Res., 43, 427-446, 2014.
- R. Rao, V. Patel, “Thermodynamic optimization of cross flow plate-fin heat exchanger using a particle swarm optimization algorithm”, Int. J. Therm. Sci., 49, 1712-1721, 2010.
- M. Mishra, P. Das, S. Sarangi, “Second law based optimisation of crossflow plate-fin heat exchanger design using genetic algorithm”, Appl. Therm. Eng., 29, 2983-2989, 2009.
Year 2024,
, 1 - 9, 01.06.2024
Amin Farzin
,
Saeed Mehran
,
Kaveh Salmalian
References
- A. Farzin, M. Ghazi, A. F. Sotoodeh, M. Nikian, “Economic optimization of heat exchanger networks based on geometric parameters using hybrid genetic-particle swarm algorithm technique”, J. Eng. Des. Tech., 19, 989-1015, 2021.
- P.K. Das, I. Ghosh, “Thermal design of multistream plate fin heat exchangers—a state-of-the-art review”, Heat Trans. Eng., 33, 284-300, 2012.
- R.K. Shah, D.P. Sekulic, Fundamentals of heat exchanger design, Hoboken, New Jerse: John Wiley & Sons, Inc., 2003.
- X. Zheng, Z. Qi, “A comprehensive review of offset strip fin and its applications”, Appl. Therm. Eng., 139, 61-75, 2018.
- A. Farzin, M. Ghazi, A. Sotoodeh, M. Nikian, “Economic optimization of heat exchangers network based on accuracy design of equipment using whale algorithm”, J. Eng. Des. Tech., 19, 989-1015, 2021.
- R.V. Rao, A. Saroj, P. Ocloń, J. Taler, D. Taler, “Single-and multi-objective design optimization of plate-fin heat exchangers using Jaya algorithm”, Heat Trans. Eng., 39, 1201-1216, 2018.
- R. Song, M. Cui, “Single-and multi-objective optimization of a plate-fin heat exchanger with offset strip fins adopting the genetic algorithm”, Appl. Therm. Eng., 159, 113881, 2019.
- E. Işık, M. Inallı, “Artificial neural networks and adaptive neuro-fuzzy inference systems approaches to forecast the meteorological data for HVAC: the case of cities for Turkey”, Energy, 154, 7-16, 2018.
- K.C. More, R.V. Rao, “Design optimization of plate-fin heat exchanger by using modified Jaya algorithm”, Advanc. Eng. Optim. Thro. Intell. Techn. Proceedings of AEOTIT, 165-172. 2020.
- E.H.V. Segundo, V.C. Mariani, L. Coelho, “Design of heat exchangers using falcon optimization algorithm”, Appl. Therm. Eng., 156, 119-144, 2019.
- H. Zarea, F.M. Kashkooli, A.M. Mehryan, M.R. Saffarian, E.N. Beherghani, “Optimal design of plate-fin heat exchangers by a Bees Algorithm”, Appl. Therm. Eng., 69, 267-277, 2014.
- X. Peng, Z. Liu, C. Qiu, J. Tan, “Effect of inlet flow maldistribution on the passage arrangement design of multi-stream plate-fin heat exchanger”, Appl. Therm. Eng., 103, 67-76, 2016.
- R.V. Rao, A. Saroj, “A self-adaptive multi-population based Jaya algorithm for engineering optimization”, Swarm. Evol. comput., 37, 1-26, 2017.
- K. Guo, N. Zhang, R. Smith, “Optimisation of fin selection and thermal design of counter-current plate-fin heat exchangers”, Appl. Therm. Eng., 78, 491-499, 2015.
- O.E. Turgut, “Hybrid chaotic quantum behaved particle swarm optimization algorithm for thermal design of plate fin heat exchangers”, Appl. Math. Mod., 40, 50-69, 2016.
- Z. Wang and Y. Li, “A combined method for surface selection and layer pattern optimization of a multistream plate-fin heat exchanger”, Appl. Energy, 165, 815-827, 2016.
- J. Wen, K. Li, X. Zhang, C. Wang, S. Wang, J. Tu, “Optimization investigation on configuration parameters of serrated fin in plate-fin heat exchanger based on fluid structure interaction analysis”, Int. J. Heat Mass Trans.,119, 282-294, 2018.
- H. Hajabdollahi, “Multi-objective optimization of plate fin heat exchanger using constructal theory”, Int. J. Heat Mass Trans., 108, 104283, 2019.
- S. Kakaç, H. Liu, A. Pramuanjaroenkij, Heat Exchangers: Selection, Rating, and Thermal Design, 3rd Ed. Boca Raton: CRC press, 2020.
- R.M. Manglik A.E. Bergles, “Heat transfer and pressure drop correlations for the rectangular offset strip fin compact heat exchanger”, Exp. Therm. Fluid Sci., 10, 171-180, 1995.
- J.H. Holland, “Genetic Algorithms”, Sci. Americ., 267, 66-73, 1992. [Online]. Available: http://www.jstor.org/stable/24939139.
- V. Černý, “Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm”, J. Opt. Theor. Applic., 45, 41-51, 1985/01/01 1985, doi: 10.1007/BF00940812.
- E. Rashedi, H. Nezamabadi-pour, S. Saryazdi, “GSA: A Gravitational Search Algorithm”, Inf. Sci., 179, 2232-2248, 2009/06/13/ 2009, doi: https://doi.org/10.1016/j.ins.2009.03.004.
- R. Formato, “Central force optimization: a new metaheuristic with applications in applied electromagnetics”. Prog. Electromagn. Res., 77: 425–491, 2007.
- F.F. Moghaddam, R.F. Moghaddam, M. Cheriet, “Curved space optimization: a random search based on general relativity theory”, arXiv preprint arXiv:1208.2214, 2012.
- J. Kennedy R. Eberhart, “Particle swarm optimization”, in Proceedings of ICNN'95-international conference on neural networks, 4, 1942-1948, 1995.
- A. Farzin, M. Ghazi, A.F. Sotoodeh, M. Nikian, “Economic optimization of a shell-and-tube heat exchanger (STHE) based on new method by Grasshopper Optimization Algorithm (GOA)”, Iranian J. Mar. Tech., 7, 112-124, 2020.
- M. Yousefi, A.N. Darus, H. Mohammadi, “Second law based optimization of a plate fin heat exchanger using imperialist competitive algorithm”, Int. J. Phys. Sci., 6, 4749-4759, 2011.
- A. Hadidi, “A robust approach for optimal design of plate fin heat exchangers using biogeography based optimization (BBO) algorithm”, Appl. Energy, 150, 196-210, 2015.
- S. Banooni, H. Zarea, and M. Molana, “Thermodynamic and economic optimization of plate fin heat exchangers using the bees algorithm”, Heat Trans. Asian Res., 43, 427-446, 2014.
- R. Rao, V. Patel, “Thermodynamic optimization of cross flow plate-fin heat exchanger using a particle swarm optimization algorithm”, Int. J. Therm. Sci., 49, 1712-1721, 2010.
- M. Mishra, P. Das, S. Sarangi, “Second law based optimisation of crossflow plate-fin heat exchanger design using genetic algorithm”, Appl. Therm. Eng., 29, 2983-2989, 2009.