Jonathan Mädler

Doctoral Researcher
NameMr Dipl.-Ing. Jonathan Mädler
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Process Systems Engineering Group
Process Systems Engineering Group
Visiting address:
Merkelbau Helmholtzstraße 14
01069 Dresden
Postal address:
Technische Universität Dresden 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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P2O-Lab: A Learning Factory for Digitalization and Modularization , 23 May 2023Electronic (full-text) versionResearch output: Contribution to conferences > Paper
2022
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Modular ISRU Systems as a Building Block for Sustainable Space Exploration , 18 Sep 2022, 15 p.Electronic (full-text) versionResearch output: Book/Report/Anthology > Conference proceeding
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Integrierte, modulare Demonstrationsanlage zur Biowachsherstellung: Erfahrungsbericht aus dem Vorhaben ProRegional , 23 Jun 2022, In: Atp-Edition : automatisierungstechnische Praxis. 63, 6-7, p. 82-89, 8 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Hybride semi-parametrische Modellierung der thermooxidativen Stabilisierung von PAN-Precursorfasern , Jun 2022, In: Chemie-Ingenieur-Technik. 94, 6, p. 889-896, 8 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A digital twin-concept for smart process equipment assemblies supporting process validation in modular plants , Jan 2022, Computer Aided Chemical Engineering. Elsevier, Vol. 51. p. 1435-1440, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Quality assessment for dynamic, hybrid semi-parametric state observers , Jan 2022, Computer Aided Chemical Engineering. Elsevier Science, p. 1255-1260, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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Requirements for the quality assessment of virtual commissioning models for modular process plants , Jan 2022, Computer Aided Chemical Engineering. Elsevier Science, p. 805-810, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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Requirements to a digital twin-centered concept for smart manufacturing in modular plants considering distributed knowledge , Jan 2022, Computer Aided Chemical Engineering. Elsevier, Vol. 49. p. 1507-1512, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Anforderungen aus der dynamischen Nutzung von grünem Wasserstoff in Power-to-X-Wertschöpfungsketten , 2022, p. 175-186, 12 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper
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Digitale Zwillinge für modulare Anlagen: Anforderungen und Konzepte , 2022Research output: Contribution to conferences > Presentation slides