Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 11283-11290 |
Seitenumfang | 8 |
Fachzeitschrift | Industrial and Engineering Chemistry Research |
Jahrgang | 55 |
Ausgabenummer | 43 |
Frühes Online-Datum | 21 Okt. 2016 |
Publikationsstatus | Veröffentlicht - 2 Nov. 2016 |
Abstract
A novel mathematical programming method was applied to acquire the optimal heat exchanger network (HEN) retrofit in the crude oil distillation unit. The mathematical model was based on the stagewise superstructure model with splits of streams from the work of Yee et al. [Chin. J. Chem. Eng. 2007, 15 (2), 296-301]. The objective function was developed into the minimum of the sum of the cost of modifications and the cost of utilities in one year, focusing on the changing heat transfer coefficients arising in the reused existing heat exchangers from stream splits. The HEN modifications included buying new heat exchangers, adding or reducing areas of the existing heat exchangers, moving the existing heat exchangers, and laying pipes. It was a mixed integer nonlinear program (MINLP) problem. A hybrid genetic algorithm was used to optimize the MINLP problem. In order to reduce the total cost of modifications, the heat exchangers and the corresponding matching structures between the hot and cold streams in the existing HENs were designed as elites introduced into the hybrid genetic algorithm. The Dittus-Boelter and Kern correlations were used to estimate the convective heat transfer coefficients of the corresponding streams. One example was given to show the effect of the novel retrofit strategy.
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in: Industrial and Engineering Chemistry Research, Jahrgang 55, Nr. 43, 02.11.2016, S. 11283-11290.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Optimal Retrofit Strategy of Heat Exchanger Networks Applied in Crude Oil Distillation Units
AU - Liu, Xin-Wen
AU - Luo, Xing
AU - Kabelac, Stephan
N1 - Publisher Copyright: © 2016 American Chemical Society. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/11/2
Y1 - 2016/11/2
N2 - A novel mathematical programming method was applied to acquire the optimal heat exchanger network (HEN) retrofit in the crude oil distillation unit. The mathematical model was based on the stagewise superstructure model with splits of streams from the work of Yee et al. [Chin. J. Chem. Eng. 2007, 15 (2), 296-301]. The objective function was developed into the minimum of the sum of the cost of modifications and the cost of utilities in one year, focusing on the changing heat transfer coefficients arising in the reused existing heat exchangers from stream splits. The HEN modifications included buying new heat exchangers, adding or reducing areas of the existing heat exchangers, moving the existing heat exchangers, and laying pipes. It was a mixed integer nonlinear program (MINLP) problem. A hybrid genetic algorithm was used to optimize the MINLP problem. In order to reduce the total cost of modifications, the heat exchangers and the corresponding matching structures between the hot and cold streams in the existing HENs were designed as elites introduced into the hybrid genetic algorithm. The Dittus-Boelter and Kern correlations were used to estimate the convective heat transfer coefficients of the corresponding streams. One example was given to show the effect of the novel retrofit strategy.
AB - A novel mathematical programming method was applied to acquire the optimal heat exchanger network (HEN) retrofit in the crude oil distillation unit. The mathematical model was based on the stagewise superstructure model with splits of streams from the work of Yee et al. [Chin. J. Chem. Eng. 2007, 15 (2), 296-301]. The objective function was developed into the minimum of the sum of the cost of modifications and the cost of utilities in one year, focusing on the changing heat transfer coefficients arising in the reused existing heat exchangers from stream splits. The HEN modifications included buying new heat exchangers, adding or reducing areas of the existing heat exchangers, moving the existing heat exchangers, and laying pipes. It was a mixed integer nonlinear program (MINLP) problem. A hybrid genetic algorithm was used to optimize the MINLP problem. In order to reduce the total cost of modifications, the heat exchangers and the corresponding matching structures between the hot and cold streams in the existing HENs were designed as elites introduced into the hybrid genetic algorithm. The Dittus-Boelter and Kern correlations were used to estimate the convective heat transfer coefficients of the corresponding streams. One example was given to show the effect of the novel retrofit strategy.
UR - http://www.scopus.com/inward/record.url?scp=84994236174&partnerID=8YFLogxK
U2 - 10.1021/acs.iecr.6b01931
DO - 10.1021/acs.iecr.6b01931
M3 - Article
AN - SCOPUS:84994236174
VL - 55
SP - 11283
EP - 11290
JO - Industrial and Engineering Chemistry Research
JF - Industrial and Engineering Chemistry Research
SN - 0888-5885
IS - 43
ER -