Durchgängiger Einsatz von Modellen in der Prozessführung

Bausa, Jens; Dünnebier, Guido

doi:10.1002/cite.200500068

Cited by 11 publications

(7 citation statements)

References 5 publications

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“…Therefore, in these cases detailed analysis or offline optimization is in general restricted to process parts with predictive models like distillation sequences. As long as in a larger process model only about one or two unit operations are based on descriptive models and the rest is based on predictive models, these process models can be used to support process operation in online applications like condition and performance monitoring and real‐time optimization .…”

Section: Mso Tools For Single Process Simulationmentioning

confidence: 99%

Process Modeling, Simulation and Optimization: From Single Solutions to a Multitude of Solutions to Support Decision Making

Asprion

Bortz

2018

Chemie Ingenieur Technik

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Besides experimentation process simulation is a key technology in process development. Process simulation supports design, analysis and operation of chemical processes and plants. A systematic use of process simulation and optimization in the process development workflow is beneficial for both the process model and experiments and enables to be more efficient and effective in process design. In the following it will be discussed how the application of process simulation and optimization has to be broadened to provide decision support for process development.

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Section: Mso Tools For Single Process Simulationmentioning

confidence: 99%

Process Modeling, Simulation and Optimization: From Single Solutions to a Multitude of Solutions to Support Decision Making

Asprion

Bortz

2018

Chemie Ingenieur Technik

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“…Allerdings fanden diese Ansätze in der Praxis insb. in der Automatisierungs‐ und Regelungstechnik kaum Anwendung . Da die schon damals formulierte Notwendigkeit die Modelldurchgängigkeit im gesamten Lebenszyklus einer Anlage zu ermöglichen, sich in der letzten Zeit in der Industrie noch verstärkt hat, wurde von BASF und dem Fraunhofer Institut für Techno‐ und Wirtschaftsmathematik ITWM ein Verfahren entwickelt, mit dem bestehende stationäre Simulationsmodelle aus den früheren Phasen der Verfahrensentwicklung als Basis für die weitgehend automatisierte Erstellung von vereinfachten dynamischen Modellen für die virtuelle Inbetriebnahme genutzt werden können.…”

Section: Mid‐fidelity Simulation Für Virtuelle Inbetriebnahmeunclassified

Model Life Cycle in the Chemical Industry Using an Example of Virtual Commissioning

Yakut

Krüning

Foltin

et al. 2017

Chemie Ingenieur Technik

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In der industriellen Praxis werden in verschiedenen Phasen des Lebenszyklus einer Model Life Cycle in the Chemical Industry Using an Example of Virtual CommissioningIn current industrial practices, different simulation tools are used throughout the life cycle of a process plant. However, there is no continuous use of these tools available so far. Especially, reuse of the process models is strongly limited. Therefore, in this work we developed a technique, that enables the creation of dynamic mid-fidelity models from already existing steady-state high-fidelity ones in a systematical and efficient way. These models can be used in later phases of the life cycle for virtual commissioning of automation applications.

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“…It is a permanent issue to develop chemical process models which are increasingly needed for process improvements and operation control tasks [6]. The establishment of a manageable model requires compromises between a sufficiently deterministic nature to guarantee safe control even of strong variations of the process model parameters and reliable prognoses for extended operation changes, on the one hand, and a limited complexity to avoid expensive investigations of necessary software development, on the other hand.…”

Section: Kinetic Modelmentioning

confidence: 99%

Kinetic Modeling of Phenol Hydroxylation for a Simulated Prognosis of Its Continuous Operation

et al. 2007

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Phenol hydroxylation to dihydroxybenzenes as an example of the class of partial oxidation reactions with hydrogen peroxide is studied by comparing discontinuous and quasi-continuous operations. A process model is developed from an experimental analysis of reaction compositions at 40°C, an estimation of model parameters by process identification using adequate search strategies, and validations by simulations. The simulations use the function block diagram language. Space-time yields are compared for various scenarios, i.e., different ratios of phenol to hydrogen peroxide and, for quasi-continuous operation, altered flow rates or frequencies for hydrogen peroxide pulses. The quasi-continuous operation is superior in most scenarios, resulting in each case in much less waste production.

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Durchgängiger Einsatz von Modellen in der Prozessführung

Cited by 11 publications

References 5 publications

Process Modeling, Simulation and Optimization: From Single Solutions to a Multitude of Solutions to Support Decision Making

Process Modeling, Simulation and Optimization: From Single Solutions to a Multitude of Solutions to Support Decision Making

Model Life Cycle in the Chemical Industry Using an Example of Virtual Commissioning

Kinetic Modeling of Phenol Hydroxylation for a Simulated Prognosis of Its Continuous Operation

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