Reduction of complex energy-integrated process networks using graph theory

Sujit S. Jogwar; Srinivas Rangarajan; Prodromos Daoutidis

doi:10.1016/j.compchemeng.2015.04.025

Reduction of complex energy-integrated process networks using graph theory

Sujit S. Jogwar, Srinivas Rangarajan, Prodromos Daoutidis

Chemical Engineering and Materials Science

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

This paper focuses on the analysis of complex (multi-loop) energy-integrated process networks. Simple (single-loop) energy-integrated networks (comprising of large energy recycle or throughput) with two-time scale dynamics are the building blocks for such complex networks. The modular structure of these complex networks lends them to a graph theoretic analysis, whereby weak and strong connections between process units arising from time scale separation are identified from structural information. Subsequently, a graph-theoretic framework for network analysis and control is developed, and connecting links are built to an equivalent analysis using singular perturbations. The proposed analysis framework is illustrated via application to a representative complex process network.

Original language	English (US)
Pages (from-to)	46-58
Number of pages	13
Journal	Computers and Chemical Engineering
Volume	79
DOIs	https://doi.org/10.1016/j.compchemeng.2015.04.025
State	Published - Aug 4 2015

Bibliographical note

Funding Information:
Partial financial support for this work by the National Science Foundation , grant CBET-1133167 and the Government of India Department of Science and Technology (DST) INSPIRE scheme ( IFA-13 ENG-61 ) is gratefully acknowledged.

Keywords

Graph theory
Hierarchical control
Integrated plant control

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title = "Reduction of complex energy-integrated process networks using graph theory",

abstract = "This paper focuses on the analysis of complex (multi-loop) energy-integrated process networks. Simple (single-loop) energy-integrated networks (comprising of large energy recycle or throughput) with two-time scale dynamics are the building blocks for such complex networks. The modular structure of these complex networks lends them to a graph theoretic analysis, whereby weak and strong connections between process units arising from time scale separation are identified from structural information. Subsequently, a graph-theoretic framework for network analysis and control is developed, and connecting links are built to an equivalent analysis using singular perturbations. The proposed analysis framework is illustrated via application to a representative complex process network.",

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AU - Rangarajan, Srinivas

AU - Daoutidis, Prodromos

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