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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Main Authors: Muhammad Imran, Nugroho Agung Pambudi, Muhammad Farooq
Format: Article
Language:English
Published: Elsevier 2017-09-01
Series:Case Studies in Thermal Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X17302101
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spelling 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
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