TY - JOUR
T1 - Graph reduction for hierarchical control of energy integrated process networks
AU - Heo, Seongmin
AU - Jogwar, Sujit S.
AU - Rangarajan, Srinivas
AU - Daoutidis, Prodromos
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84874264459&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874264459&partnerID=8YFLogxK
U2 - 10.1109/CDC.2012.6426262
DO - 10.1109/CDC.2012.6426262
M3 - Conference article
AN - SCOPUS:84874264459
SN - 0743-1546
SP - 6388
EP - 6393
JO - Proceedings of the IEEE Conference on Decision and Control
JF - Proceedings of the IEEE Conference on Decision and Control
M1 - 6426262
T2 - 51st IEEE Conference on Decision and Control, CDC 2012
Y2 - 10 December 2012 through 13 December 2012
ER -