C3-Konferenzzeitplan – Annual Meeting of Process Engineering and Materials Technology

Annual Meeting of Process Engineering and Materials Technology

Monday – 11-11-2024

10:30

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Welcome & Opening

Chair(s) Klaus Ohlig (Linde GmbH, Operating Segment Engineering)
Dr. Markus Finke (Bayer Aktiengesellschaft)
Prof. Dr. Norbert Kockmann (TU Dortmund University)

Room: Max-Buchner-Hörsaal

Topic:

Form of presentation: Lecture

Duration: 10 Minutes

10:40

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Plenary Lectures

Chair(s) Prof. Dr. Norbert Kockmann (TU Dortmund University)
Dr. Markus Finke (Bayer Aktiengesellschaft)

Room: Max-Buchner-Hörsaal

Topic: Plenary Lectures

Form of presentation: Lecture

Duration: 60 Minutes

10:40

Generative Artificial Intelligence for Chemical Process Engineering

Artur M. Schweidtmann | TU Delft | Netherlands

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11:10

Application of Machine Learning Tools for Physical Properties Prediction in Product Design and Process Development

Dr. Klaus Wekenborg | Merck Electronics KGaA | Germany

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11:40

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Poster & Exhibitors: Short Introduction

Chair(s) Prof. Dr. Norbert Kockmann (TU Dortmund University)
Dr. Markus Finke (Bayer Aktiengesellschaft)

Room: Max-Buchner-Hörsaal

Topic: Poster & Exibitors Short Introduction

Form of presentation: Lecture

Duration: 60 Minutes

11:40

P 01: Hard-Constraint Neural Network for Thermodynamically Consistent Mixture Property Prediction

Thomas Specht | RPTU Kaiserslautern | Germany

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11:41

P 02: IIoT Data-Driven Analytics Pipeline for Industrial Process Engineering

Research Associate Fatima Rani | Technische Universität Dresden | Germany

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11:42

P 03: Heat Transfer at Equivalent Roughness Density over Flat Plates with Cylindrical Vertical Elements

Dr. Alexander Bakopoulos | Independent | Germany

11:43

P 04: Enhancing Catalysis and Process Engineering Insight through Semantic Integration: The REAC4Cat Ontology and its Data Pipeline

Hendrik Borgelt | TU Dortmund University | Germany

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11:44

P 05: Plug-and-Approve? Potentials and Limitations of a semantic PEA Documentation in the Asset Administration Shell

Sascha Lamm | Technische Universität Darmstadt | Germany
Philipp Wetterich | Technische Universität Darmstadt | Germany
Sissy Sommer | Industrial Science GmbH | Germany
Ingo Dietrich | Industrial Science GmbH | Germany

11:45

P 07: Selection of process engineering variables with regard to heat integration by means of heat pumps for a separation sequence

Johannes Wloch | Ruhr-Universität Bochum | Germany

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11:46

P 08: Decarbonized process steam supply technologies—Simulations and exergy-based analyses within an online framework

Niklas Kießling | Technische Universität Berlin | Germany

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11:47

P 09: Reliability of Hydrogen Injection into the Gas Grid

Finn Börje Wesemeyer | University Rostock | Germany

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11:48

P 10: Efficient Screening of Closed-Cycle Heat Pumps for Electrified Distillation

Momme Adami | Hamburg University of Technology | Germany

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11:49

P 11: Parameter study for the optimized design of a rotary chamber expander

Stefan Düttmann | Hochschule Hannover | Germany

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11:50

P 12: Techno-economic analysis of a concept for process steam generation based on High Temperature Heat Pump, Concentrated Solar Energy and Thermal Energy Storage

Maren Schmuck | Hochschule Hannover | Germany
Christoph Schmitt | Hochschule Hannover | Germany

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11:51

P 13: Efficiency and Safety in Waste Sorting: A Model Predictive Control Approach to Bale Press Automation

Imam Mujahidin Iqbal | Technische Universität Dresden | Germany

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11:52

P 14: A digital twin architecture for waste and recycling sorting plants

Imam Iqbal | Technische Universität Dresden | Germany

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11:53

P 15: Recipe-free Synthesis of Optimal Operation Trajectories for Batch Processes by Using Rigorous Process Models

Torben Talis | Technische Universität Berlin | Germany

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11:54

P 16: PrillTech – Process intensification through digitalization, automation and optimization of prilling processes.

Dr. J.-Kilian Schnoor | Kreber | Netherlands

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11:55

P 17: Characterizing Fluidized Bed Bubbling Phenomena: Probing Dynamics with Dual-Sided Video and Pressure Analysis

Arkya Sanyal | Friedrich-Alexander-Universität Erlangen-Nürnberg | Germany

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11:56

P 18: Batch-to-Batch optimization of an industrial case study

Mohamed Tarek Aboelnour | BASF SE | Germany

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11:57

P 19: Creation of a code-based model to describe syngas production from biomass

Simon Brinkmann | Technische Hochschule (TH) Bingen | Germany

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11:58

P 20: A unified modular framework for modeling multiphase reactors

Dr. Vasileios Mappas | Brandenburg University of Technology | Germany

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11:59

P 21: Optimization-based design of heat pump assisted distillation processes considering intermediate heat exchangers

Dr.-Ing. Kai Fabian Kruber | Hamburg University of Technology | Germany

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12:00

P 22: Linear vs. Quadratic vs. Nonlinear Modeling and Optimization of Steam Turbine Systems

Louisa Zaubitzer | Hochschule Niederrhein - University of Applied Science | Germany

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12:01

P 23: Development and Optimization of a Rotary Chamber Compressor

Christoph Schmitt | Hochschule Hannover | Germany

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12:02

P 24: Optimizing flexibility of methanol synthesis for renewable dimethyl ether production

Markus Hübner | Forschungszentrum Jülich GmbH | Germany

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12:40

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Lunch & Posters

Room : Manfred-Eigen-Hörsaal mit Foyer, Max-Buchner-Hörsaal

Duration : 60 Minutes

13:40

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Machine Learning

Chair(s) Prof. Alexander Mitsos (RWTH Aachen University)

Room: Max-Buchner-Hörsaal

Topic: 12. Machine Learning

Form of presentation: Lecture

Duration: 80 Minutes

13:40

Designing Chemical Processes with Deep Reinforcement Learning – Towards Generalization of Chemical Systems

Alexander Wolf | Technical University of Munich - Campus Straubing | Germany

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14:00

Machine Learning for Anomaly Detection in Distillation Processes

Justus Arweiler | RPTU Kaiserslautern | Germany

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14:20

From Data to Design: Machine Learning Meets Thermodynamics for Physical Property Prediction

Johannes Schilling | ETH Zurich | Switzerland

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14:40

Uncertainty Propagation for Nonlinear Regression Models

Martin Bubel | Fraunhofer ITWM | Germany

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13:40

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Data Driven Process Development

Chair(s) Prof. Dr. Mirko Skiborowski (Technische Universität Hamburg)

Room: Manfred-Eigen-Hörsaal mit Foyer

Topic: 15. Data Driven Process Development

Form of presentation: Lecture

Duration: 80 Minutes

13:40

Improving soda addition to a reactive extraction process by custom modeling in AVEVA Process Simulation

Heiko Radatz | Covestro Deutschland AG | Germany
Joel Zaubitzer | Covestro Deutschland AG | Germany

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14:00

From degradation kinetics to process evaluation: Challenges and solution approaches in designing chemical recycling processes

Philip Biessey | Ruhr-Universität Bochum | Germany

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14:20

Extending AVEVA Process Simulation with User Scripts

Dr. Jochen Steimel | Aveva GmbH | Germany

14:40

Data-driven process development and optimization without coding

Dr. Volker Kraft | JMP Statistical Discovery | Germany

15:00

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Coffee Break & Posters

Room : Manfred-Eigen-Hörsaal mit Foyer, Max-Buchner-Hörsaal

Duration : 30 Minutes

15:30

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Machine Learning - Process Development

Chair(s) Prof. Dr. Michael Bortz (Fraunhofer Institut für Techno- und Wirtschaftsmathematik)

Room: Max-Buchner-Hörsaal

Topic: 14. Machine Learning - Process Development

Form of presentation: Lecture

Duration: 60 Minutes

15:30

Smart sensor for emulsification process characterization and control

Inga Burke | TU Dortmund University | Germany

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15:50

Constrained Process Optimization using Reinforcement Learning and Life Cycle Assessment

Luisa Malek | CGC Capital-Gain Consultants GmbH | Germany
Dr. Quirin Göttl | Fraunhofer-Institut für Integrierte Schaltungen | Germany

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16:10

Towards efficient material design: Use of Machine Learning to predict chemical reactions and retrosynthesis

Mitra Jafari | Brandenburg University of Technology Cottbus - Senftenberg | Germany

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15:30

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Modular Plants

Chair(s) Dr. Frank Stenger (Evonik Operations GmbH)

Room: Manfred-Eigen-Hörsaal mit Foyer

Topic: 16. Modular Plants

Form of presentation: Lecture

Duration: 60 Minutes

15:30

Pioneering Modularization in Pharma: Enhancing Flexibility and Efficiency in Drug Production

Dr. Jonathan Mädler | fleXCelerate Solutions | Germany

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15:50

A Marketplace for Process Equipment Assemblies using a DEXPI Process and VDI 2776 Information Model

Lukas Grahl | Semodia GmbH | Germany

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16:10

Automation and FAIR Data Management of Modular Plants

Mathias Schmitz | Technische Universität Dortmund | Germany

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16:30

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Break for Room Change

Room : Manfred-Eigen-Hörsaal mit Foyer, Max-Buchner-Hörsaal

Duration : 10 Minutes

16:40

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Plenary Lecture

Chair(s) Klaus Ohlig (Linde GmbH, Operating Segment Engineering)

Room: Max-Buchner-Hörsaal

Topic: Plenary Lectures

Form of presentation: Lecture

Duration: 30 Minutes

16:40

Making Modular Process Plants an Industrial Reality

Prof. Dr. Peter Pelz | Technische Universität Darmstadt | Germany
Prof. Dr. Norbert Kockmann | Technische Universität Dortmund | Germany
Prof. Dr.-Ing. Leon Urbas | Technische Universität Dresden | Germany

17:10

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End of Lectures / Hotel Check-in

Room : Manfred-Eigen-Hörsaal mit Foyer, Max-Buchner-Hörsaal

Duration : 70 Minutes

18:20

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ChemCar Contest

Room : Max-Buchner-Foyer, Manfred-Eigen-Hörsaal mit Foyer, Max-Buchner-Hörsaal

Duration : 60 Minutes

19:20

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Poster & Exhibitors Party & ChemCar Award Ceremony

Room : Online Max-Buchner-Hörsaal, Max-Buchner-Foyer, Manfred-Eigen-Hörsaal mit Foyer, Poster Exhibition, Hans-Jürgen-Rehm-Raum, Lise-Meitner-Raum, Franz-Patat-Hörsaal, Wilhelm-Keim-Raum, Hellmut-Fischer-Raum, Max-Buchner-Hörsaal

Duration : 130 Minutes