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Research Paper
Heat exchanger network retrofit throughout overall heat transfer
coefficient by using genetic algorithm
Totok Ruki Biyanto *, Enrico Kevin Gonawan, Gunawan Nugroho, Ridho Hantoro,
Hendra Cordova, Katherin Indrawati
Engineering Physic Department, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia
H I G H L I G H T S
• An optimization model using GA is developed to retrofit the existing HEN.
• The retrofitting increased the amount of energy recovery by optimizing the value of overall heat transfer coefficient (U).
• Three types of optimization scenarios are conducted with different constraint of U.
A R T I C L E I N F O
Article history:
Received 26 April 2015
Accepted 29 October 2015
Available online 10 November 2015
Keywords:
HEN
Overall heat transfer coefficient
optimization
Heat recovery
Retrofit
A B S T R A C T
Heat integration through energy recovery is utilized to reduce energy consumption. Energy or heat re-
covery can be performed using heat exchanger (HE) in heat exchanger network (HEN). HEN is an
arrangement of several interconnected HE, which is used to conduct heat recovery. This arrangement
increases complexity of heat integration. In the existing HEN, some of the energy is wasted due to unproper
HEN design. HEN retrofit can overcome this problem and increase the heat recovery in existing pro-
cesses. In this research, HEN retrofit is performed by optimizing the maximum heat recovery (Q) without
changing the area of heat transfer or adding new HE and the arrangement of HE in HEN. In order to fid
out the maximum Q, genetic algorithm (GA) is used to search the best heat transfer coefficient (U) value.
In this paper, three cases of optimization scenarios are performed by some constraints considered on
the HEN model. In the first optimization scenario, U is optimized without the given the maximum and
minimum limits. While in the second optimization scenario, U has limitation at the minimum value, which
is the value of U on the initial design data. And on the third case optimization scenario, U has limits due
to availability of existing technology, which is the increase in the maximum of U using internal fins, twisted
tape insert, coiled wire insert, and helical baffle. Heat recovery obtained in the first case scenario opti-
mization results was at 13.21%, whereas the second case scenario optimization was at 9.14%, and the
third case scenario optimization was at 3.60% with an internal fin technology limitations, 2.77% by limi-
tations of twisted tape inserts technology, 7.69% with coiled wire insert technology, and 4.61% with helical
baffles technology.
© 2015 Elsevier Ltd. All rights reserved.
1. Introduction
Heat recovery is a technique to take or reuse the heat from the
product and or material that will be reused to reheat the raw ma-
terials. This process can be found in buildings, such as heater,
ventilation, etc., or process equipment, such as oven, furnace, heat
exchanger, etc. Heat recovery will be more effective for industrial
applications that consume a large amount of energy.
Heat recovery can be achieved by doing heat integration.
According to Smith [1], heat integration can be applied to heat
exchanger network (HEN), reactor, distillation column, evaporator
and dryer, etc., and according to Parsons et al. [2], by using heat in-
tegration, we can save the use of overall energy in the process by
70% with HEN. Thus almost all of the heat integration objective func-
tion is used to maximize the heat recovery for grassroots and retrofit.
Nowadays, heat exchanger network or HEN retrofit receives great
attention from both the academic and industrial communities. From
the research of Liu et al. [3], it is said that HEN retrofit is pivotal
for plants with large energy consumption especially for energy saving
and environmental impact, and has led to an increase in market com-
petitiveness. HEN retrofit allows to increase heat recovery in existing
processes. According to Pan et al. [4], such improvements can be
achieved in various ways, namely by providing additional surface
area or installing new heat exchangers (HE) and restructure the ex-
isting heat exchanger arrangement.
* Corresponding author. Tel.: +62 31 5947188; fax: +62 31 5923626
E-mail addresses: trb@ep.its.ac.id, trbiyanto@mail.com (T.R. Biyanto).
http://dx.doi.org/10.1016/j.applthermaleng.2015.10.146
1359-4311/© 2015 Elsevier Ltd. All rights reserved.
Applied Thermal Engineering 94 (2016) 274–281
Contents lists available at ScienceDirect
Applied Thermal Engineering
journal homepage: www.elsevier.com/locate/apthermeng

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  • 1. Research Paper Heat exchanger network retrofit throughout overall heat transfer coefficient by using genetic algorithm Totok Ruki Biyanto *, Enrico Kevin Gonawan, Gunawan Nugroho, Ridho Hantoro, Hendra Cordova, Katherin Indrawati Engineering Physic Department, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia H I G H L I G H T S • An optimization model using GA is developed to retrofit the existing HEN. • The retrofitting increased the amount of energy recovery by optimizing the value of overall heat transfer coefficient (U). • Three types of optimization scenarios are conducted with different constraint of U. A R T I C L E I N F O Article history: Received 26 April 2015 Accepted 29 October 2015 Available online 10 November 2015 Keywords: HEN Overall heat transfer coefficient optimization Heat recovery Retrofit A B S T R A C T Heat integration through energy recovery is utilized to reduce energy consumption. Energy or heat re- covery can be performed using heat exchanger (HE) in heat exchanger network (HEN). HEN is an arrangement of several interconnected HE, which is used to conduct heat recovery. This arrangement increases complexity of heat integration. In the existing HEN, some of the energy is wasted due to unproper HEN design. HEN retrofit can overcome this problem and increase the heat recovery in existing pro- cesses. In this research, HEN retrofit is performed by optimizing the maximum heat recovery (Q) without changing the area of heat transfer or adding new HE and the arrangement of HE in HEN. In order to fid out the maximum Q, genetic algorithm (GA) is used to search the best heat transfer coefficient (U) value. In this paper, three cases of optimization scenarios are performed by some constraints considered on the HEN model. In the first optimization scenario, U is optimized without the given the maximum and minimum limits. While in the second optimization scenario, U has limitation at the minimum value, which is the value of U on the initial design data. And on the third case optimization scenario, U has limits due to availability of existing technology, which is the increase in the maximum of U using internal fins, twisted tape insert, coiled wire insert, and helical baffle. Heat recovery obtained in the first case scenario opti- mization results was at 13.21%, whereas the second case scenario optimization was at 9.14%, and the third case scenario optimization was at 3.60% with an internal fin technology limitations, 2.77% by limi- tations of twisted tape inserts technology, 7.69% with coiled wire insert technology, and 4.61% with helical baffles technology. © 2015 Elsevier Ltd. All rights reserved. 1. Introduction Heat recovery is a technique to take or reuse the heat from the product and or material that will be reused to reheat the raw ma- terials. This process can be found in buildings, such as heater, ventilation, etc., or process equipment, such as oven, furnace, heat exchanger, etc. Heat recovery will be more effective for industrial applications that consume a large amount of energy. Heat recovery can be achieved by doing heat integration. According to Smith [1], heat integration can be applied to heat exchanger network (HEN), reactor, distillation column, evaporator and dryer, etc., and according to Parsons et al. [2], by using heat in- tegration, we can save the use of overall energy in the process by 70% with HEN. Thus almost all of the heat integration objective func- tion is used to maximize the heat recovery for grassroots and retrofit. Nowadays, heat exchanger network or HEN retrofit receives great attention from both the academic and industrial communities. From the research of Liu et al. [3], it is said that HEN retrofit is pivotal for plants with large energy consumption especially for energy saving and environmental impact, and has led to an increase in market com- petitiveness. HEN retrofit allows to increase heat recovery in existing processes. According to Pan et al. [4], such improvements can be achieved in various ways, namely by providing additional surface area or installing new heat exchangers (HE) and restructure the ex- isting heat exchanger arrangement. * Corresponding author. Tel.: +62 31 5947188; fax: +62 31 5923626 E-mail addresses: trb@ep.its.ac.id, trbiyanto@mail.com (T.R. Biyanto). http://dx.doi.org/10.1016/j.applthermaleng.2015.10.146 1359-4311/© 2015 Elsevier Ltd. All rights reserved. Applied Thermal Engineering 94 (2016) 274–281 Contents lists available at ScienceDirect Applied Thermal Engineering journal homepage: www.elsevier.com/locate/apthermeng