Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Chemie Ingenieur Technik (95:7) - New York, NY : Wiley - S. 1125-1133

Event: Veröffentlichung

(where): Berlin

(who): Technische Universität Berlin

(when): 2023

Creator: Rihm, Gerardo Brand
Schueler, Merlin
Nentwich, Corina
Esche, Erik
Repke, Jens-Uwe

DOI: 10.14279/depositonce-18254

Handle: 11303/19457

URN: urn:nbn:de:101:1-2023070501594831389985

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:51 AM CEST

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Associated

Rihm, Gerardo Brand
Schueler, Merlin
Nentwich, Corina
Esche, Erik
Repke, Jens-Uwe
Technische Universität Berlin

Time of origin

2023

Other Objects (12)

Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning

Optimization of batch trajectories under scarcity of measured information by dynamic data-driven surrogate models

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Modeling process dynamics in membrane-electrolyte-assemblies of chloralkali electrolyzers considering steric and hydration effects

Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning

Optimization of batch trajectories under scarcity of measured information by dynamic data-driven surrogate models

Optimal process operation under uncertainty using transient data-driven probability distributions

Development of a rate-based model for multi-component distillation in a rotating packed bed based on mass transfer experiments

A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation

Control of reactive distillation columns for dimethyl ether production: a simulative and experimental study

Uncertainty Analysis for Data-Driven Chance-Constrained Optimization

Direct Numerical Simulations of Liquids on Microstructured Surfaces: Analysing the Fluid Dynamics on Packing

Controlling Sliding Droplets with Optimal Contact Angle Distributions and a Phase Field Model

Influence of the Distance between two Catalysts for CO 2 to Dimethyl Ether Tandem Reaction

Optimal design and evaluation of a biogas-based oxidative coupling of methane process

Modeling process dynamics in membrane-electrolyte-assemblies of chloralkali electrolyzers considering steric and hydration effects

Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning

Optimization of batch trajectories under scarcity of measured information by dynamic data-driven surrogate models

Optimal process operation under uncertainty using transient data-driven probability distributions

Development of a rate-based model for multi-component distillation in a rotating packed bed based on mass transfer experiments

A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation

Control of reactive distillation columns for dimethyl ether production: a simulative and experimental study

Uncertainty Analysis for Data-Driven Chance-Constrained Optimization

Direct Numerical Simulations of Liquids on Microstructured Surfaces: Analysing the Fluid Dynamics on Packing

Controlling Sliding Droplets with Optimal Contact Angle Distributions and a Phase Field Model

Influence of the Distance between two Catalysts for CO 2 to Dimethyl Ether Tandem Reaction

Optimal design and evaluation of a biogas-based oxidative coupling of methane process

Modeling process dynamics in membrane-electrolyte-assemblies of chloralkali electrolyzers considering steric and hydration effects

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Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning

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Other Objects (12)

Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning

Optimization of batch trajectories under scarcity of measured information by dynamic data-driven surrogate models

Optimal process operation under uncertainty using transient data-driven probability distributions

Development of a rate-based model for multi-component distillation in a rotating packed bed based on mass transfer experiments

A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation

Control of reactive distillation columns for dimethyl ether production: a simulative and experimental study

Uncertainty Analysis for Data-Driven Chance-Constrained Optimization

Direct Numerical Simulations of Liquids on Microstructured Surfaces: Analysing the Fluid Dynamics on Packing

Controlling Sliding Droplets with Optimal Contact Angle Distributions and a Phase Field Model

Influence of the Distance between two Catalysts for CO 2 to Dimethyl Ether Tandem Reaction

Optimal design and evaluation of a biogas-based oxidative coupling of methane process

Modeling process dynamics in membrane-electrolyte-assemblies of chloralkali electrolyzers considering steric and hydration effects

Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning

Optimization of batch trajectories under scarcity of measured information by dynamic data-driven surrogate models

Optimal process operation under uncertainty using transient data-driven probability distributions

Development of a rate-based model for multi-component distillation in a rotating packed bed based on mass transfer experiments

A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation

Control of reactive distillation columns for dimethyl ether production: a simulative and experimental study

Uncertainty Analysis for Data-Driven Chance-Constrained Optimization

Direct Numerical Simulations of Liquids on Microstructured Surfaces: Analysing the Fluid Dynamics on Packing

Controlling Sliding Droplets with Optimal Contact Angle Distributions and a Phase Field Model

Influence of the Distance between two Catalysts for CO 2 to Dimethyl Ether Tandem Reaction

Optimal design and evaluation of a biogas-based oxidative coupling of methane process

Modeling process dynamics in membrane-electrolyte-assemblies of chloralkali electrolyzers considering steric and hydration effects

Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning

Optimization of batch trajectories under scarcity of measured information by dynamic data-driven surrogate models

Optimal process operation under uncertainty using transient data-driven probability distributions

Development of a rate-based model for multi-component distillation in a rotating packed bed based on mass transfer experiments

A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation

Control of reactive distillation columns for dimethyl ether production: a simulative and experimental study

Uncertainty Analysis for Data-Driven Chance-Constrained Optimization

Direct Numerical Simulations of Liquids on Microstructured Surfaces: Analysing the Fluid Dynamics on Packing

Controlling Sliding Droplets with Optimal Contact Angle Distributions and a Phase Field Model

Influence of the Distance between two Catalysts for CO 2 to Dimethyl Ether Tandem Reaction

Optimal design and evaluation of a biogas-based oxidative coupling of methane process

Modeling process dynamics in membrane-electrolyte-assemblies of chloralkali electrolyzers considering steric and hydration effects

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