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Generalized reduction constraints for the global optimization of dynamic process networks using topological invariants

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4 Author(s)
Wartmann, M.R. ; Dept. of Chem. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Heirung, T.A.N. ; Ruiz, J.P. ; Ydstie, B.E.

We describe a novel framework for the modeling and optimization of dynamic process networks based on network theory. Global optimization of nonlinear systems is investigated for dynamic flow problems. Tellegen's Theorem, a topological invariant of process networks, plays a central role as generalized reduction constraint. In order to improve the computational efficiency of the spatial branch and bound methods for the solution of global optimization problems, we develop a systematic method to generate formulations which lead to tighter convex relaxations and improved numerical characteristics.

Published in:

American Control Conference (ACC), 2010

Date of Conference:

June 30 2010-July 2 2010

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