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Open AccessArticle

Configuration Optimization and Performance Comparison of STHX-DDB and STHX-SB by A Multi-Objective Genetic Algorithm

1
School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China
2
School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(9), 1794; https://doi.org/10.3390/en12091794
Received: 16 March 2019 / Revised: 17 April 2019 / Accepted: 7 May 2019 / Published: 11 May 2019
(This article belongs to the Special Issue Heat Exchangers for Waste Heat Recovery)
Based on the thermohydraulic calculation model verified in this study and Non-dominated Sorted Genetic Algorithm-II (NSGA-II), a multi-objective configuration optimization method is proposed, and the performances of shell-and-tube heat exchanger with disc-and-doughnut baffles (STHX-DDB) and shell-and-tube heat exchanger with segmental baffles (STHX-SB) are compared after optimization. The results show that, except in the high range of heat transfer capacity of 16.5–17 kW, the thermohydraulic performance of STHX-DDB is better. Tube bundle diameter, inside tube bundle diameter, number of baffles of STHX-DDB and tube bundle diameter, baffle cut, number of baffles of STHX-SB are chosen as design parameters, and heat transfer capacity maximization and shell-side pressure drop minimization are considered as common optimization objectives. Three optimal configurations are obtained for STHX-DDB and another three are obtained for STHX-SB. The optimal results show that all the six selected optimal configurations are better than the original configurations. For STHX-DDB and STHX-SB, compared with the original configurations, the heat transfer capacity of optimal configurations increases by 6.26% on average and 5.16%, respectively, while the shell-side pressure drop decreases by 44.33% and 19.16% on average, respectively. It indicates that the optimization method is valid and feasible and can provide a significant reference for shell-and-tube heat exchanger design. View Full-Text
Keywords: shell-and-tube heat exchanger; disc-and-doughnut baffles; segmental baffles; multi-objective configuration optimization; genetic algorithm shell-and-tube heat exchanger; disc-and-doughnut baffles; segmental baffles; multi-objective configuration optimization; genetic algorithm
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MDPI and ACS Style

Xu, Z.; Guo, Y.; Mao, H.; Yang, F. Configuration Optimization and Performance Comparison of STHX-DDB and STHX-SB by A Multi-Objective Genetic Algorithm. Energies 2019, 12, 1794. https://doi.org/10.3390/en12091794

AMA Style

Xu Z, Guo Y, Mao H, Yang F. Configuration Optimization and Performance Comparison of STHX-DDB and STHX-SB by A Multi-Objective Genetic Algorithm. Energies. 2019; 12(9):1794. https://doi.org/10.3390/en12091794

Chicago/Turabian Style

Xu, Zhe; Guo, Yingqing; Mao, Haotian; Yang, Fuqiang. 2019. "Configuration Optimization and Performance Comparison of STHX-DDB and STHX-SB by A Multi-Objective Genetic Algorithm" Energies 12, no. 9: 1794. https://doi.org/10.3390/en12091794

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