Retrofit of Crude Pre-Heat Train using MINLP Model under Non-Isothermal Mixing Assumption

To enhance the energy recovery through heat integration, heat exchanger network synthesis (HENS) has been introduced for industrial processes in the last several decades. The systematic identification of retrofit designs of the existing complex network in industrial processes is case-dependent probl...

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Main Authors: S. Koraviyotin, K. Siemanond
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2015-09-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/4725
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author S. Koraviyotin
K. Siemanond
author_facet S. Koraviyotin
K. Siemanond
author_sort S. Koraviyotin
collection DOAJ
description To enhance the energy recovery through heat integration, heat exchanger network synthesis (HENS) has been introduced for industrial processes in the last several decades. The systematic identification of retrofit designs of the existing complex network in industrial processes is case-dependent problem, especially crude oil atmospheric distillation systems. Therefore, retrofit design is one of the most challenging heat exchanger network (HEN) designs where no standard formulation deals with the fixed cost of topology changes. The revision of an existing HEN is more complex than the grassroots design. This work is to modify a mixed-integer nonlinear programming (MINLP) stage-wise model using commercial optimization software; GAMS, for retrofitting HEN where the main objective is to maximize profit calculated by energy saving subtract total investment cost of additional exchanger area, new exchanger, stream splitting and repiping. The proposed model overcomes the area trade-off restriction caused by the assumption of isothermal mixing and allows several matches located on a branch of each process stream. Dealing with the MINLP case, the initialization strategy is developed to find feasible starting point for the optimization problem resulting in generating more profitable HEN design compared to the published one from the literature.
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spelling doaj.art-c24de103fc0749d0a32fc63b3fd4e16f2022-12-21T19:03:50ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162015-09-014510.3303/CET1545318Retrofit of Crude Pre-Heat Train using MINLP Model under Non-Isothermal Mixing AssumptionS. KoraviyotinK. SiemanondTo enhance the energy recovery through heat integration, heat exchanger network synthesis (HENS) has been introduced for industrial processes in the last several decades. The systematic identification of retrofit designs of the existing complex network in industrial processes is case-dependent problem, especially crude oil atmospheric distillation systems. Therefore, retrofit design is one of the most challenging heat exchanger network (HEN) designs where no standard formulation deals with the fixed cost of topology changes. The revision of an existing HEN is more complex than the grassroots design. This work is to modify a mixed-integer nonlinear programming (MINLP) stage-wise model using commercial optimization software; GAMS, for retrofitting HEN where the main objective is to maximize profit calculated by energy saving subtract total investment cost of additional exchanger area, new exchanger, stream splitting and repiping. The proposed model overcomes the area trade-off restriction caused by the assumption of isothermal mixing and allows several matches located on a branch of each process stream. Dealing with the MINLP case, the initialization strategy is developed to find feasible starting point for the optimization problem resulting in generating more profitable HEN design compared to the published one from the literature.https://www.cetjournal.it/index.php/cet/article/view/4725
spellingShingle S. Koraviyotin
K. Siemanond
Retrofit of Crude Pre-Heat Train using MINLP Model under Non-Isothermal Mixing Assumption
Chemical Engineering Transactions
title Retrofit of Crude Pre-Heat Train using MINLP Model under Non-Isothermal Mixing Assumption
title_full Retrofit of Crude Pre-Heat Train using MINLP Model under Non-Isothermal Mixing Assumption
title_fullStr Retrofit of Crude Pre-Heat Train using MINLP Model under Non-Isothermal Mixing Assumption
title_full_unstemmed Retrofit of Crude Pre-Heat Train using MINLP Model under Non-Isothermal Mixing Assumption
title_short Retrofit of Crude Pre-Heat Train using MINLP Model under Non-Isothermal Mixing Assumption
title_sort retrofit of crude pre heat train using minlp model under non isothermal mixing assumption
url https://www.cetjournal.it/index.php/cet/article/view/4725
work_keys_str_mv AT skoraviyotin retrofitofcrudepreheattrainusingminlpmodelundernonisothermalmixingassumption
AT ksiemanond retrofitofcrudepreheattrainusingminlpmodelundernonisothermalmixingassumption