Global optimization of distillation columns using explicit and implicit surrogate models
| Autor: | Achim Kienle, Kai Sundmacher, Kevin McBride, Tobias Keßler, Dennis Michaels, Christian Kunde, Nick Mertens |
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| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Ideal (set theory) Computer science Applied Mathematics General Chemical Engineering 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology Industrial and Manufacturing Engineering Nonlinear programming law.invention Maxima and minima 020401 chemical engineering law Kriging Deterministic global optimization 0204 chemical engineering 0210 nano-technology Focus (optics) Global optimization Distillation |
| Zdroj: | Chemical Engineering Science |
| ISSN: | 0009-2509 |
| DOI: | 10.1016/j.ces.2018.12.002 |
| Popis: | Surrogate-based optimization of distillation columns using an iterative Kriging approach is investigated. To avoid suboptimal local minima the focus lies on deterministic global optimization. The determination of optimal setups and operating conditions for ideal and non-ideal distillation columns, leading to mixed-integer nonlinear programming (MINLP) problems, serve as case studies. To cope with output multiplicities of the model an implicit surrogate formulation is proposed. |
| Databáze: | OpenAIRE |
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