Journal
27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT A
Volume 40A, Issue -, Pages 631-636Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/B978-0-444-63965-3.50107-0
Keywords
flowsheet optimization; reduced-space; sequential modular; McCormick relaxations; branch-and-bound
Funding
- German Federal Ministry of Education and Research (BMBF) [03SFK2A]
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Deterministic global methods for flowsheet optimization have almost exclusively relied on equation-oriented formulations. The automatic propagation of McCormick relaxations and subgradients enables an alternative formulation similar to sequential modular infeasible path methods in local optimization that operate in a reduced space while moving most model variables and equations to external functions. The application of this reduced-space formulation is demonstrated for the Williams-Otto process. For suitable choices of tear streams and additional variables and equations left to the optimizer, it enables significant reductions in computational time compared to equation-oriented formulations.
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