Jonathan Mädler
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Postdoc
NameMr Dr.-Ing. Jonathan Mädler
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Process Systems Engineering Group
Process Systems Engineering Group
Visiting address:
Merkelbau Helmholtzstraße 14
01069 Dresden
Postal address:
TUD Dresden University of Technology Arbeitsgruppe Systemverfahrenstechnik
01062 Dresden
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RESEARCH INTERESTS
- First-principles modeling
- Hybrid semi-parametric modeling / gray box modeling
- Model-based Design of Experiments
- Process control within modular plants
CURRICULUM VITAE
Seit 2017 | Doctoral Researcher, Chair of Process Control Systems and Process Systems Engineering, Prof. Urbas, TU Dresden |
2011-2017 | Study Program Renewable Energy Systems, TU Dresden |
2016-2017 | Student Assistant, Chair of Process Control Systems and Process Systems Engineering, Prof. Urbas, TU Dresden |
2015-2016 | Student Worker, Sunfire GmbH, Dresden |
2015-2016 | Intern, Sunfire GmbH, Dresden |
2014-2015 | Student Assistant, Chair of Electrical Power Supply, Prof. Schegner, TU Dresden |
PUBLICATIONS
2023
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Improving Microalgae Growth Modeling of Outdoor Cultivation with Light History Data using Machine Learning Models: A Comparative Study , 28 Oct 2023, In: Bioresource Technology. 390, 129882Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Quality-driven modeling and co-simulation of a modular electrolysis plant for green steel production , 10 Oct 2023Research output: Contribution to conferences > Poster
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P2O-Lab: A Learning Factory for Digitalization and Modularization , 23 May 2023Electronic (full-text) versionResearch output: Contribution to conferences > Paper
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Digital Twins for Scale-Up in Modular Plants: Requirements, Concept, and Roadmap , Jan 2023, Computer Aided Chemical Engineering. p. 2063-2068, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Dynamic operation for the effective use of green hydrogen in Power-to-X value chains , Jan 2023, 33rd European Symposium on Computer Aided Process Engineering. p. 1267-1272, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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Process Validation in Modular Plants considering the Scale-Up and Prior Knowledge , Jan 2023, Computer Aided Chemical Engineering. Elsevier, Vol. 52. p. 2057-2062, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Quality assessment of partial models for co-simulation of modular electrolysis plants , Jan 2023, 33rd European Symposium on Computer Aided Process Engineering. p. 1217-1222, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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Opportunities of digital teaching in process control: flip the classroom, provide a level playing field, and integrate external experts , 2023, In: Lessons Learned. 3, 1Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Smarte Process Equipment Assemblies für die Unterstützung der Prozessvalidierung in modularen Anlagen , 2023, Düsseldorf: VDI Verlag, Düsseldorf, 164 p.Research output: Book/Report/Anthology > Monograph
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Standards for Information Models Considering Knowledge Distribution in Modular Plants , 2023, 2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023. Dorksen, H., Scanzio, S., Jasperneite, J., Wisniewski, L., Man, K. F., Sauter, T., Seno, L., Trsek, H. & Vyatkin, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1-7Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution