Dynamic optimization of a cryogenic air separation unit using a derivative-free optimization approach
| Autor: | Israel Negrellos-Ortiz, Miguel Angel Gutiérrez-Limón, Antonio Flores-Tlacuahuac |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Work (thermodynamics) Engineering Air separation Trust region Mathematical optimization 021103 operations research Optimization problem business.industry General Chemical Engineering 0211 other engineering and technologies Process (computing) 02 engineering and technology Computer Science Applications Model predictive control 020901 industrial engineering & automation Derivative-free optimization business Energy (signal processing) |
| Zdroj: | Computers & Chemical Engineering. 109:1-8 |
| ISSN: | 0098-1354 |
| DOI: | 10.1016/j.compchemeng.2017.10.020 |
| Popis: | Optimal dynamic product transition is a challenging and important issue in manufacturing plants. When a reliable dynamic model is available, gradient-based optimization algorithms can be used to achieve this aim. However, in some cases a first principles dynamic model may not be available. In this work, we will assume that only input-output information from a dynamic model embedded in a dynamic process simulator is available for optimal product transitions between products. We present a derivative-free optimization trust region approach to deal with the product dynamic optimization problem of an air separation unit used in several processing plants to obtain pure oxygen. High-purity oxygen is required in intensive energy applications such as steel plants and in combustion processes. A closed-loop model predictive control strategy is used where the system to be optimized is embedded in the ASPEN Dynamics simulation environment. The results demonstrate that black-box dynamic models can be dynamically optimized when model of the dynamic model and/or its gradient information are not available. We have successfully applied the non-linear model predictive control and derivate-free approach to several oxygen composition and productivity transition issues. |
| Databáze: | OpenAIRE |
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