Decision support for the development, simulation and optimization of dynamic process models
| Autor: | Johannes Höller, Patrick Schwartz, J. Schwientek, Michael Bortz, Norbert Asprion, Charlie Vanaret, Roger Böttcher |
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| Přispěvatelé: | Publica |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Chemical process
Decision support system Process modeling Steady state (electronics) Computer science Process (engineering) General Chemical Engineering 02 engineering and technology 010402 general chemistry 01 natural sciences Industrial engineering 0104 chemical sciences Task (project management) Development (topology) 020401 chemical engineering Dynamic models 0204 chemical engineering |
| Popis: | Simulation is besides experimentation the major method for designing, analyzing and optimizing chemical processes. The ability of simulations to reflect real process behavior strongly depends on model quality. Validation and adaption of process models are usually based on available plant data. Using such a model in various simulation and optimization studies can support the process designer in his task. Beneath steady state models there is also a growing demand for dynamic models either to adapt faster to changing conditions or to reflect batch operation. In this contribution challenges of extending an existing decision support framework for steady state models to dynamic models will be discussed and the resulting opportunities will be demonstrated for distillation and reactor examples. |
| Databáze: | OpenAIRE |
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