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• W2900575360 abstract "Abstract The availability of predictive models for chemical processes is the basic prerequisite for offline process optimization. In cases where a predictive model is missing for a process unit within a larger process flowsheet, measured operating data of the process can be used to set up such models combining physical knowledge and process data. In this contribution, the creation and integration of such gray‐box models within the framework of a flowsheet simulator is presented. Results of optimization using different gray‐box models are shown for a virtual cumene process." @default.
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• W2900575360 date "2018-11-12" @default.
• W2900575360 modified "2023-10-16" @default.
• W2900575360 title "Gray‐Box Modeling for the Optimization of Chemical Processes" @default.
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• W2900575360 doi "https://doi.org/10.1002/cite.201800086" @default.
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