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Decision support for the development,simulation and optimization of dynamic process models 被引量:1
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作者 Norbert Asprion Roger Böttcher +4 位作者 Jan Schwientek Johannes Höller patrick schwartz Charlie Vanaret Michael Bortz 《Frontiers of Chemical Science and Engineering》 SCIE EI CSCD 2022年第2期210-220,共11页
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... 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. 展开更多
关键词 decision support multicriteria optimization model validation dynamic model sensitivity analysis
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