Graph reduction for material integrated process networks with flow segregation

Seongmin Heo; Prodromos Daoutidis

doi:10.1016/j.ifacol.2015.09.031

Graph reduction for material integrated process networks with flow segregation

Seongmin Heo, Prodromos Daoutidis

Chemical Engineering and Materials Science

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

In this paper, a scalable framework is developed to analyze complex process networks consisting of multiple material integration loops. Using information on the orders of magnitude of different material flows, the framework identifies the time scales where different process units evolve, and the manipulated inputs available in each time scale, in an automated fashion. The application of the framework is illustrated via a case study on an example process network.

Original language	English (US)
Pages (from-to)	586-591
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	28
Issue number	8
DOIs	https://doi.org/10.1016/j.ifacol.2015.09.031
State	Published - Jul 1 2015
Event	9th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2015 - Whistler, Canada Duration: Jun 7 2015 → Jun 10 2015

Bibliographical note

Funding Information:
★ Financial support for this work by the National Science Founda-★ Financial support for this work by the National Science Founda-tioFni,ngarnacnitalCsBupEpTo-r1t13fo3r16th7,isiswgorraktebfyulltyheacNkantoiwonleadlgSecdi.ence Founda-tioFni,ngarnacnitalCsBupEpTo-r1t13fo3r16th7,isiswgorraktebfyulltyheacNkantoiwonleadlgSecdi.ence Foundation, grant CBET-1133167, is gratefully acknowledged.

Publisher Copyright:
© 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Keywords

Graph theory
Graphs
Integrated plant control
Networks
Process control
Reduction

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abstract = "In this paper, a scalable framework is developed to analyze complex process networks consisting of multiple material integration loops. Using information on the orders of magnitude of different material flows, the framework identifies the time scales where different process units evolve, and the manipulated inputs available in each time scale, in an automated fashion. The application of the framework is illustrated via a case study on an example process network.",

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AU - Daoutidis, Prodromos

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N2 - In this paper, a scalable framework is developed to analyze complex process networks consisting of multiple material integration loops. Using information on the orders of magnitude of different material flows, the framework identifies the time scales where different process units evolve, and the manipulated inputs available in each time scale, in an automated fashion. The application of the framework is illustrated via a case study on an example process network.

AB - In this paper, a scalable framework is developed to analyze complex process networks consisting of multiple material integration loops. Using information on the orders of magnitude of different material flows, the framework identifies the time scales where different process units evolve, and the manipulated inputs available in each time scale, in an automated fashion. The application of the framework is illustrated via a case study on an example process network.

KW - Graph theory

KW - Graphs

KW - Integrated plant control

KW - Networks

KW - Process control

KW - Reduction

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Graph reduction for material integrated process networks with flow segregation

Abstract

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Keywords

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