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Michael Mock Dipl.-Ing.
Person

Affiliations

Process Systems Engineering Group
- Academic Staff
- michael.mock@tu-dresden.de
Chair of Process Control Systems
- Academic Staff
- michael.mock@tu-dresden.de

Identification Numbers

ORCID	0009-0009-9864-8924
Scopus author ID	57837255500

Heterogenous electrolysis plants as enabler of efficient and flexible Power-to-X value chains

Mock, M., Viedt, I., Lange, H. & Urbas, L., 28 Jun 2024, 34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering. Vol. 53. p. 1885-1890 6 p.

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Towards Usability of Process Models for Co-Simulation-Based Operability Analysis of Modular Electrolysis Plants

Mock, M., Viedt, I. & Urbas, L., 2024, 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. Facchinetti, T., Cenedese, A., Bello, L. L., Vitturi, S., Sauter, T. & Tramarin, F. (eds.). Institute of Electrical and Electronics Engineers Inc., (International Conference on Emerging Technologies and Factory Automation (ETFA)).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

View all research output (5)

Research Portal of the TU Dresden

Michael Mock Dipl.-Ing.
Person

Affiliations

Identification Numbers

Related content

Heterogenous electrolysis plants as enabler of efficient and flexible Power-to-X value chains

Towards Usability of Process Models for Co-Simulation-Based Operability Analysis of Modular Electrolysis Plants

Co-simulation as an enabler of manufacturer independent Power-to-X value chains using modular electrolysis

Dynamic operation for the effective use of green hydrogen in Power-to-X value chains

Anforderungen aus der dynamischen Nutzung von grünem Wasserstoff in Power-to-X-Wertschöpfungsketten