Graph reduction for hierarchical control of energy integrated process networks

Seongmin Heo, Sujit S. Jogwar, Srinivas Rangarajan, Prodromos Daoutidis

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

In this paper, we propose a graph-theoretic algorithm that can be used to analyze complex chemical processes comprising of multiple energy integration loops. Such networks are known to exhibit dynamics in multiple time scales. The algorithm uses information on the order of magnitude of the different energy flows and determines automatically the time scales where the units evolve, the manipulated inputs acting in the different time scales and the form of the reduced order models in each time scale. The application of the algorithm is illustrated through a case study of a benchmark chemical process.

Original languageEnglish (US)
Article number6426262
Pages (from-to)6388-6393
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
DOIs
StatePublished - 2012
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: Dec 10 2012Dec 13 2012

Fingerprint Dive into the research topics of 'Graph reduction for hierarchical control of energy integrated process networks'. Together they form a unique fingerprint.

Cite this