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Dynamic operability analysis of nonlinear process networks based on dissipativity
Author(s) -
Rojas Osvaldo J.,
Setiawan Ridwan,
Bao Jie,
Lee Peter L.
Publication year - 2009
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.11723
Subject(s) - operability , nonlinear system , process (computing) , dissipative system , scalability , chemical process , chemical plant , control engineering , computer science , work in process , process systems , realization (probability) , process control , distributed computing , engineering , process engineering , mathematics , operations management , physics , quantum mechanics , database , chemical engineering , environmental engineering , operating system , statistics , software engineering
Most modern chemical plants are complex networks of multiple interconnected nonlinear process units, often with multiple recycle and by‐pass streams and energy integration. Interactions between process units often lead to plant‐wide operability problems (i.e., difficulties in process control). Plant‐wide operability analysis is often difficult due to the complexity and nonlinearity of the processes. This article provides a new framework of dynamic operability analysis for plant‐wide processes, based on the dissipativity of each process unit and the topology of the process network. Based on the concept of dissipative systems, this approach can deal with nonlinear processes directly. Developed from a network perspective, the proposed framework is also inherently scalable and thus can be applied to large process networks. © 2009 American Institute of Chemical Engineers AIChE J, 2009