Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm
In this paper thermal and hydraulic optimization of water to water chevron type plate heat exchanger is presented. The optimization is performed using the multi objective genetic algorithm in MATLAB optimization environment. Constrain matrix is a set of different geometrical parameters of plate heat...
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doaj-a2f388b9f26d42d09e72b7bc10a611ed2020-11-24T23:03:46ZengElsevierCase Studies in Thermal Engineering2214-157X2017-09-0110C57057810.1016/j.csite.2017.10.003Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithmMuhammad Imran0Nugroho Agung Pambudi1Muhammad Farooq2Department of Energy Engineering, School of Engineering, University of Management and Technology, CII Johar Town, Lahore, PakistanInternational Institute for Carbon-Neutral Reserch (WPI-I2CNER), Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, JapanDepartment of Mechanical Engineering, University of Engineering & Technology Lahore, KSK Campus, Kala Shah Kaku 39020, PakistanIn this paper thermal and hydraulic optimization of water to water chevron type plate heat exchanger is presented. The optimization is performed using the multi objective genetic algorithm in MATLAB optimization environment. Constrain matrix is a set of different geometrical parameters of plate heat exchanger within the logical bounds. The two objective functions are pressure drop of hot side and heat transfer. Due to conflicting nature of these objective functions, no single solution can satisfy both of the objective function simultaneously. The increase in heat transfer will results in increase in pressure drop, therefore, optimization results are presented as Pareto Front. Multi objective genetic algorithm tool was employed to find a set of optimum solution which was trade-off between pressure drop and heat transfer. At the end, sensitivity analysis was performed to analyse the effect of geometrical parameters of heat exchanger on thermal and hydraulic performance. The sensitivity results show that the heat transfer and pressure drop are greatly affected by the vertical port centre distance, plate spacing and number of thermal plates.http://www.sciencedirect.com/science/article/pii/S2214157X17302101Thermal optimizationHydraulic optimizationPlate heat exchangerMulti objective genetic algorithmHeat transferPressure drop |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Imran Nugroho Agung Pambudi Muhammad Farooq |
spellingShingle |
Muhammad Imran Nugroho Agung Pambudi Muhammad Farooq Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm Case Studies in Thermal Engineering Thermal optimization Hydraulic optimization Plate heat exchanger Multi objective genetic algorithm Heat transfer Pressure drop |
author_facet |
Muhammad Imran Nugroho Agung Pambudi Muhammad Farooq |
author_sort |
Muhammad Imran |
title |
Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm |
title_short |
Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm |
title_full |
Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm |
title_fullStr |
Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm |
title_full_unstemmed |
Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm |
title_sort |
thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm |
publisher |
Elsevier |
series |
Case Studies in Thermal Engineering |
issn |
2214-157X |
publishDate |
2017-09-01 |
description |
In this paper thermal and hydraulic optimization of water to water chevron type plate heat exchanger is presented. The optimization is performed using the multi objective genetic algorithm in MATLAB optimization environment. Constrain matrix is a set of different geometrical parameters of plate heat exchanger within the logical bounds. The two objective functions are pressure drop of hot side and heat transfer. Due to conflicting nature of these objective functions, no single solution can satisfy both of the objective function simultaneously. The increase in heat transfer will results in increase in pressure drop, therefore, optimization results are presented as Pareto Front. Multi objective genetic algorithm tool was employed to find a set of optimum solution which was trade-off between pressure drop and heat transfer. At the end, sensitivity analysis was performed to analyse the effect of geometrical parameters of heat exchanger on thermal and hydraulic performance. The sensitivity results show that the heat transfer and pressure drop are greatly affected by the vertical port centre distance, plate spacing and number of thermal plates. |
topic |
Thermal optimization Hydraulic optimization Plate heat exchanger Multi objective genetic algorithm Heat transfer Pressure drop |
url |
http://www.sciencedirect.com/science/article/pii/S2214157X17302101 |
work_keys_str_mv |
AT muhammadimran thermalandhydraulicoptimizationofplateheatexchangerusingmultiobjectivegeneticalgorithm AT nugrohoagungpambudi thermalandhydraulicoptimizationofplateheatexchangerusingmultiobjectivegeneticalgorithm AT muhammadfarooq thermalandhydraulicoptimizationofplateheatexchangerusingmultiobjectivegeneticalgorithm |
_version_ |
1725632128834600960 |