Heat exchanger network optimization using differential evolution with stream splitting

Reduction in energy consumption is an important task in process industry. The basic idea of heat exchanger network (HEN) is to cool hot streams using cold streams and to heat cold streams using hot streams. Hence, synthesis and optimization of HEN is a main tool for improving heat recovery. This art...

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Main Authors: Thuy, N.T.P., Pendyala, R., Marneni, N.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.31925 /
Published: Trans Tech Publications Ltd 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914146509&doi=10.4028%2fwww.scientific.net%2fAMM.625.373&partnerID=40&md5=19e8c6a2190a63308d851e96eaf2b771
http://eprints.utp.edu.my/31925/
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spelling utp-eprints.319252022-03-29T04:03:25Z Heat exchanger network optimization using differential evolution with stream splitting Thuy, N.T.P. Pendyala, R. Marneni, N. Reduction in energy consumption is an important task in process industry. The basic idea of heat exchanger network (HEN) is to cool hot streams using cold streams and to heat cold streams using hot streams. Hence, synthesis and optimization of HEN is a main tool for improving heat recovery. This article introduces a new strategy for HEN optimization using differential evolution algorithm. The proposed method considers splitting stream at the pinch point, to minimize the total cost of the network. Primarily, the minimum approach temperature value is determined through super-targeting. Then, differential evolution is employed to specify the heat load of heat exchangers and splitting streams. The HEN structure obtained in this work has better economics and illustrates the better performance by this approach. © 2014 Trans Tech Publications, Switzerland. Trans Tech Publications Ltd 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914146509&doi=10.4028%2fwww.scientific.net%2fAMM.625.373&partnerID=40&md5=19e8c6a2190a63308d851e96eaf2b771 Thuy, N.T.P. and Pendyala, R. and Marneni, N. (2014) Heat exchanger network optimization using differential evolution with stream splitting. Applied Mechanics and Materials, 625 . pp. 373-377. http://eprints.utp.edu.my/31925/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Reduction in energy consumption is an important task in process industry. The basic idea of heat exchanger network (HEN) is to cool hot streams using cold streams and to heat cold streams using hot streams. Hence, synthesis and optimization of HEN is a main tool for improving heat recovery. This article introduces a new strategy for HEN optimization using differential evolution algorithm. The proposed method considers splitting stream at the pinch point, to minimize the total cost of the network. Primarily, the minimum approach temperature value is determined through super-targeting. Then, differential evolution is employed to specify the heat load of heat exchangers and splitting streams. The HEN structure obtained in this work has better economics and illustrates the better performance by this approach. © 2014 Trans Tech Publications, Switzerland.
format Article
author Thuy, N.T.P.
Pendyala, R.
Marneni, N.
spellingShingle Thuy, N.T.P.
Pendyala, R.
Marneni, N.
Heat exchanger network optimization using differential evolution with stream splitting
author_sort Thuy, N.T.P.
title Heat exchanger network optimization using differential evolution with stream splitting
title_short Heat exchanger network optimization using differential evolution with stream splitting
title_full Heat exchanger network optimization using differential evolution with stream splitting
title_fullStr Heat exchanger network optimization using differential evolution with stream splitting
title_full_unstemmed Heat exchanger network optimization using differential evolution with stream splitting
title_sort heat exchanger network optimization using differential evolution with stream splitting
publisher Trans Tech Publications Ltd
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914146509&doi=10.4028%2fwww.scientific.net%2fAMM.625.373&partnerID=40&md5=19e8c6a2190a63308d851e96eaf2b771
http://eprints.utp.edu.my/31925/
_version_ 1741197661766156288
score 11.62408

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