《化学科学与工程前沿（英文）》
>> 2022年
第16卷
第2期
doi:
10.1007/s11705-021-2046-x
RESEARCH ARTICLE
Decision support for the development, simulation and optimization of dynamic process models
. BASF SE, 67063 Ludwigshafen, Germany.. Fraunhofer ITWM, 67663 Kaiserslautern, Germany
收稿日期：
2021-03-11
录用日期：
2021-04-28
发布日期：
2021-04-28
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摘要
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.
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