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Infeasible Path Global Flowsheet Optimization Using McCormick Relaxations
- Publication Year :
- 2017
- Publisher :
- Elsevier, 2017.
-
Abstract
- 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.
- Subjects :
- Mathematical optimization
021103 operations research
Branch and bound
business.industry
0211 other engineering and technologies
Process (computing)
02 engineering and technology
Modular design
Space (mathematics)
020401 chemical engineering
Path (graph theory)
0204 chemical engineering
business
Algorithm
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........c79b826f54adc7f191e811f40f0b7fdf