LAPSE:2025.0159
Published Article

LAPSE:2025.0159
Dynamic Operability Analysis of modular heterogeneous electrolyzer plants using system co-simulation
June 27, 2025
Abstract
In the upcoming decades, the scale-up of hydrogen production will play a crucial role for the integration of renewable energy into energy system. One scale-up strategy is the numbering-up of standardized electrolysis units in modular plant concepts. The use of modular plants can support the integration of different technologies into heterogeneous electrolyzer plants to leverage technology-specific advantages and counteract disadvantages. This work focuses on the analysis of technical operability of large-scale modular electrolyzer plants in heterogeneous plant layouts using co-simulation. Developed process models of low-temperature electrolysis components are combined in Simulink as shared environment. Strategies to control process parameters, like temperatures, pressures and flowrates in the subsystems and the overall plant, are developed and presented. An operability analysis is carried out to verify the functionality of the presented plant layout and control strategies. The dynamic progression of all parameters is presented for different operative states, like start-up, continuous operation, load change and hot-standby behavior. It is observed that the exemplary plant is operational, as all relevant process parameter can be held within the allowed operating range during all operative states. Some limitations, regarding the possible operating range of individual technologies, are introduced and solution approaches are conceptualized. Additionally, relevant metrics for efficiency, such as the specific energy consumption and flexibility are calculated to prove the feasibility and show the advantages of heterogeneous electrolyzer plant layouts, such as a heightened operational flexibility without mayor reductions in efficiency.
In the upcoming decades, the scale-up of hydrogen production will play a crucial role for the integration of renewable energy into energy system. One scale-up strategy is the numbering-up of standardized electrolysis units in modular plant concepts. The use of modular plants can support the integration of different technologies into heterogeneous electrolyzer plants to leverage technology-specific advantages and counteract disadvantages. This work focuses on the analysis of technical operability of large-scale modular electrolyzer plants in heterogeneous plant layouts using co-simulation. Developed process models of low-temperature electrolysis components are combined in Simulink as shared environment. Strategies to control process parameters, like temperatures, pressures and flowrates in the subsystems and the overall plant, are developed and presented. An operability analysis is carried out to verify the functionality of the presented plant layout and control strategies. The dynamic progression of all parameters is presented for different operative states, like start-up, continuous operation, load change and hot-standby behavior. It is observed that the exemplary plant is operational, as all relevant process parameter can be held within the allowed operating range during all operative states. Some limitations, regarding the possible operating range of individual technologies, are introduced and solution approaches are conceptualized. Additionally, relevant metrics for efficiency, such as the specific energy consumption and flexibility are calculated to prove the feasibility and show the advantages of heterogeneous electrolyzer plant layouts, such as a heightened operational flexibility without mayor reductions in efficiency.
Record ID
Keywords
Subject
Suggested Citation
Große M, Viedt I, Lange H, Urbas L. Dynamic Operability Analysis of modular heterogeneous electrolyzer plants using system co-simulation. Systems and Control Transactions 4:53-59 (2025) https://doi.org/10.69997/sct.102556
Author Affiliations
Große M: Technische Universität Dresden, Process-to-Order Group, Chair of Process Control Systems; Technische Universität Dresden, Process-to-Order Group, P2O Lab Learning Factory
Viedt I: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering Group; Technische Universität Dresden, Process-to-Order Group, P2O Lab Learning Factory
Lange H: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering Group; Technische Universität Dresden, Process-to-Order Group, P2O Lab Learning Factory
Urbas L: Technische Universität Dresden, Process-to-Order Group, Chair of Process Control Systems; Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering Group; Technische Universität Dresden, Process-to-Order Group, P2O Lab Learnin
Viedt I: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering Group; Technische Universität Dresden, Process-to-Order Group, P2O Lab Learning Factory
Lange H: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering Group; Technische Universität Dresden, Process-to-Order Group, P2O Lab Learning Factory
Urbas L: Technische Universität Dresden, Process-to-Order Group, Chair of Process Control Systems; Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering Group; Technische Universität Dresden, Process-to-Order Group, P2O Lab Learnin
Journal Name
Systems and Control Transactions
Volume
4
First Page
53
Last Page
59
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 0053-0059-1214-SCT-4-2025, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2025.0159
This Record
External Link

https://doi.org/10.69997/sct.102556
Article DOI
Download
Meta
Record Statistics
Record Views
599
Version History
[v1] (Original Submission)
Jun 27, 2025
Verified by curator on
Jun 27, 2025
This Version Number
v1
Citations
Most Recent
This Version
URL Here
http://psecommunity.org/LAPSE:2025.0159
Record Owner
PSE Press
Links to Related Works
References Cited
- U. Remme, "Global Hydrogen Review 2024," 2024
- H. Lange, A. Klose, W. Lippmann, and L. Urbas, "Technical evaluation of the flexibility of water electrolysis systems to increase energy flexibility: A review," Int. J. Hydrog. Energy, vol. 48, no. 42, pp. 15771-15783, May 2023, https://doi.org/10.1016/j.ijhydene.2023.01.044
- M. Mock, I. Viedt, H. Lange, and L. Urbas, "Heterogenous electrolysis plants as enabler of efficient and flexible Power-to-X value chains," in Computer Aided Chemical Engineering, vol. 53, Elsevier, 2024, pp. 1885-1890. https://doi.org/10.1016/B978-0-443-28824-1.50315-X
- H. Lange, A. Klose, L. Beisswenger, D. Erdmann, and L. Urbas, "Modularization approach for large-scale electrolysis systems: a review," Sustain. Energy Fuels, vol. 8, no. 6, pp. 1208-1224, 2024, https://doi.org/10.1039/D3SE01588B
- V. Gazzaneo, J. C. Carrasco, D. R. Vinson, and F. V. Lima, "Process Operability Algorithms: Past, Present, and Future Developments," Ind. Eng. Chem. Res., vol. 59, no. 6, pp. 2457-2470, Feb. 2020, https://doi.org/10.1021/acs.iecr.9b05181
- P. Rentschler, C. Klahn, and R. Dittmeyer, "The Need for Dynamic Process Simulation: A Review of Offshore Power-to-X Systems," Chem. Ing. Tech., vol. 96, no. 1-2, pp. 114-125, Jan. 2024, https://doi.org/10.1002/cite.202300156
- D. Uztürk and C. Georgakis, "Inherent Dynamic Operability of Processes: General Definitions and Analysis of SISO Cases," Ind. Eng. Chem. Res., vol. 41, no. 3, pp. 421-432, Feb. 2002, https://doi.org/10.1021/ie0101792
- J. Mädler, I. Viedt, J. Lorenz, and L. Urbas, "Requirements to a digital twin-centered concept for smart manufacturing in modular plants considering distributed knowledge," in Computer Aided Chemical Engineering, vol. 49, Y. Yamashita and M. Kano, Eds., in 14 International Symposium on Process Systems Engineering, vol. 49. , Elsevier, 2022, pp. 1507-1512. https://doi.org/10.1016/B978-0-323-85159-6.50251-7
- T. Ören, B. P. Zeigler, and A. Tolk, Eds., Body of Knowledge for Modeling and Simulation: A Handbook by the Society for Modeling and Simulation International. in Simulation Foundations, Methods and Applications. Cham: Springer International Publishing, 2023. https://doi.org/10.1007/978-3-031-11085-6
- G. Tsotridis and A. Pilenga, EU harmonized protocols for testing of low temperature water electrolysis. Luxembourg: Publications Office of the European Union, 2021
- M. Grosse, I. Viedt, H. Lange, and L. Urbas, "Low-temperature electrolysis stack modeling for dynamic system co-simulation of modular hydrogen plants," Int. J. Hydrog. Energy, 2025
- M. Mock, I. Viedt, and L. Urbas, "Towards Usability of Process Models for Co-Simulation-Based Operability Analysis of Modular Electrolysis Plants," in 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Padova, Italy: IEEE, Sep. 2024, pp. 1-4. https://doi.org/10.1109/ETFA61755.2024.10711068
- [13] G. Sakas, A. Ibáñez-Rioja, V. Ruuskanen, A. Kosonen, J. Ahola, and O. Bergmann, "Dynamic energy and mass balance model for an industrial alkaline water electrolyzer plant process," Int. J. Hydrog. Energy, vol. 47, no. 7, pp. 4328-4345, Jan. 2022, https://doi.org/10.1016/j.ijhydene.2021.11.126
- G. Sakas et al., "Dynamic Mass and Energy Balance Model of a 50 Kw Proton Exchange Membrane Electrolyzer System," 2024. https://doi.org/10.2139/ssrn.4799709

