Name
Abstract | ||
|---|---|---|
We consider the dynamic optimization of chemical processes with changes in the number of equilibrium phases. Recent work has shown that transitions in the number of phases can be modeled as a mathematical program with equilibrium constraints (MPEC). This study generalizes the MPEC to consider dynamic characteristics. In particular, we describe a simultaneous discretization and solution strategy for dynamic optimization problems with complementarity constraints. These discretized problems are then solved with IPOPT-C, a recently developed barrier method for MPEC problems. Our approach is applied to two distillation examples. In the first, we consider the optimal startup of a binary batch distillation problem. In the second, we consider the dynamic operation of a cryogenic column for the separation of natural gas liquids. Both cases demonstrate the effectiveness of the approach on large scale MPEC problems. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.compchemeng.2004.03.015 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Dynamic optimization,Nonlinear programming,Barrier methods,Complementarity conditions,Distillation | Chemical process,Discretization,Mathematical optimization,Nonlinear programming,Control engineering,Distillation,Batch distillation,Barrier method,Optimization problem,Mathematics,Binary number | Journal |
Volume | Issue | ISSN |
28 | 10 | 0098-1354 |
Citations | PageRank | References |
13 | 1.12 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arvind U. Raghunathan | 1 | 163 | 20.63 |
| M. Soledad Diaz | 2 | 26 | 2.85 |
| Lorenz T. Biegler | 3 | 2271 | 185.43 |