Modular Plant Operation

Introduction

The Modular Plant Operation group investigates concepts for the operation of modular systems. We pursue the vision of how digitization and semantic descriptions can be used to increase the adaptability, flexibility and robustness of systems. The goal is to be able to realize and operate process plants according to the Plug & Produce principle.

Research Focus:

How can interactions of distributed systems be modeled to realize efficient planning and operation?
How can flexible distributed safety systems be designed and operated and respond dynamically to risks in a plant?

Innovative methods and tools:

Orchestration of modular plants doi.org/10.17560/atp.v63i9.2599
- Functional Safety Orchestration doi.org/10.17560/atp.v62i6-7.2488
Safety and risk analysis doi.org/10.1109/ETFA45728.2021.9613608
- Modular HAZOP doi.org/10.1109/ICSRS48664.2019.8987685

Teaching:

Projects:

H2Giga eModule

The Team:

Mann mit kurzen dunklen Haaren, Bart und blauem Hemd

Research Assistant

Mr Dipl.-Ing. Julius Lorenz

Team Lead - Modular Plant Operations Group

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Professur für Prozessleittechnik Arbeitsgruppe Systemverfahrenstechnik

postal

Postal address:

TUD Dresden University of Technology Fakultät Elektrotechnik und Informationstechnik
Institut für Automatisierungstechnik

01062 Dresden

parcel

Parcel address:

TUD Dresden University of Technology Fakultät Elektrotechnik und Informationstechnik
Institut für Automatisierungstechnik Helmholtzstr. 10

01069 Dresden

work

Visiting address:

Barkhausenbau, E 19 Georg-Schumann-Strasse 18

01069 Dresden

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Group lead:

Dipl.-Ing. Julius Lorenz

Scientific Staff:

M.Sc. Tobias Kock

Dipl.-Ing. Linda Eydam

Former scientific staff:

M.Sc. Helaleh Badrnoebashar
Dr.-Ing. Anselm Klose
M.Sc. Nazanin Hamedi
M.Sc. Zarina Chokparova
M.Sc. Florian Pelzer

Publications

48 Entries

2025

Exploring key safety terminology through simulation: Definitions and practical insightsBadrnoebashar, H., Klose, A., Lorenz, J. & Urbas, L., Mar 2025, In: Process safety progress : an official publication of the American Institute of Chemical Engineers. 44, 1, p. 49-56, 8 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article

2024

Bringing Human Cognition to Machines: Introducing Cognitive Edge Devices for the Process IndustryCharania, Z., Vogt, L., Klose, A. & Urbas, L., 12 Dec 2024, Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024. IEEE Xplore, 7 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Scenario Design for the Evaluation of Human–Machine Interaction in Modular Process PlantsMiesen, F., Lorenz, J., Klose, A., Pelzer, F., Narciss, S. & Urbas, L., 21 Oct 2024, In: Chemical Engineering and Technology. 47 (2024), 12, 7 p., e202400015Electronic (full-text) versionResearch output: Contribution to journal > Research article
Operation Strategies for Modular Large-Scale Alkaline Electrolysis SystemsLange, H., Schirmer, C., Mock, M., Viedt, I., Klose, A. & Urbas, L., 20 Aug 2024, Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024. IEEE, p. 1-7, 7 p., 10774361Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Containerisierung von Model Predictive Control für modulare Anlagen: Ein Schritt zu intelligenten Edge Systemen Charania, Z., Vogt, L., Badrnoebashar, H., Koch, A., Lorenz, J., Mädler, J. & Urbas, L., 2 Jul 2024, Automation 2024: 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024) ;AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 33-45, 14 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Steigerung der Energieeffizienz für eine nachhaltige Entwicklung in der Produktion: Die Rolle des maschinellen Lernens im ecoKI-ProjektWang, X., Rani, F., Charania, Z., Vogt, L., Klose, A. & Urbas, L., 2 Jul 2024, Automation 2024: 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024); AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 825-840, 16 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Demonstrating Containerization of Model Predictive Control for Modular PlantsVogt, L., Charania, Z., Mädler, J., Lorenz, J., Badrnoebashar, H., Koch, A. & Urbas, L., 12 May 2024, Proceedings of the 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). St. Louis: IEEE Xplore, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Modularization approach for large-scale electrolysis systems: a reviewLange, H., Klose, A., Beisswenger, L., Erdmann, D. & Urbas, L., 22 Feb 2024, In: Sustainable energy & fuels. 8, 6, p. 1208-1224, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Review article
Simulation-Based Robust Model Predictive Control for n-Dimensional Linear Multi-Agent Systems with Uncertain and Heterogeneous Dynamics in Modular PlantsBadrnoebashar, H., Klose, A., Mädler, J. & Urbas, L., Jan 2024, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Elsevier Science B.V., p. 1939-1944, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Towards Cognitive Engineering-Driven knowledge graphs for Chemical Processes: Serialization of Abstraction Decomposition Hierarchy Using OntoCAPEHamedi, N., Klose, A. & Urbas, L., Jan 2024, In: Computer aided chemical engineering. 53, p. 3097-3102, 6 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article