Proceedings of ESCAPE 36ISSN: 2818-4734
Volume: 5 (2026)
Table of Contents
LAPSE:2026.0522
Published Article
LAPSE:2026.0522
Active-Constraint Regions and Power Distribution in Multi-Stack PEM Water Electrolysis Systems
Marius Fredriksen, Johannes Jäschke
June 12, 2026
Abstract
Multi-stack proton exchange membrane (PEM) water electrolysis systems are increasingly deployed to improve the scalability and flexibility of green hydrogen production. However, sharing balance-of-plant equipment introduces coupling between stacks, and differences in stack performance increase the complexity of plantwide operation. In particular, non-identical efficiencies and safety constraints, such as hydrogen-to-oxygen (HTO) ratio limits, can render single-stack or equal-power-sharing control strategies suboptimal. In this work, the steady-state optimal operating regime of a two-stack PEM electrolysis system is characterized using a plantwide optimization approach and active constraint mapping over a range of system power loads. Performance differences between the stacks are represented through variations in Faraday efficiency to emulate simplified degradation. For identical stacks, the system behaves similarly to a single large electrolyzer, where equal power distribution is optimal, and the active constraint regions closely resemble those of a single-stack system. As the stack performance differences increase, the optimal power distribution becomes asymmetric, with the more efficient stack preferentially loaded. However, HTO safety constraints in the degraded stack may limit the utilization of the more efficient stack and introduce additional active constraint regions, resulting in more complex operating regimes.
Keywords
Active Constraint Regions, Energy Management, Hydrogen, PEM Electrolysis, Process Optimization
Suggested Citation
Fredriksen M, Jäschke J. Active-Constraint Regions and Power Distribution in Multi-Stack PEM Water Electrolysis Systems. Systems and Control Transactions 5:2551-2557 (2026) https://doi.org/10.69997/sct.166409
Author Affiliations
Fredriksen M: Norwegian University of Science and Technology, Department of Chemical Engineering, Trondheim, Norway
Jäschke J: Norwegian University of Science and Technology, Department of Chemical Engineering, Trondheim, Norway
[Login] to see author email addresses.
Journal Name
Systems and Control Transactions
Volume
5
First Page
2551
Last Page
2557
Year
2026
Publication Date
2026-06-12
Version Comments
Original Submission
Other Meta
PII: 2551-2557-489-SCT-5-2026, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2026.0522
This Record
External Link

https://doi.org/10.69997/sct.166409
Publisher Version
Download
Files
Jun 12, 2026
Main Article
License
CC BY-SA 4.0
Meta
Record Statistics
Record Views
10
Version History
[v1] (Original Submission)
Jun 12, 2026
 
Verified by curator on
Jun 12, 2026
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2026.0522
 
Record Owner
PSE Press
Links to Related Works
Directly Related to This Work
Publisher Version
References Cited
  1. Afshari E, Khodabakhsh S, Jahantigh N, Toghyani S. Performance assessment of gas crossover phenomenon and water transport mechanism in high pressure PEM electrolyzer. International Journal of Hydrogen Energy 46:11029-11040 (2021) https://doi.org/10.1016/j.ijhydene.2020.10.180
  2. Cheng K, He S, Hu B. Power adaptive control strategy for multi-stack PEM photovoltaic hydrogen systems considering electrolysis unit efficiency and hydrogen production rate. Sustainable Energy Technologies and Assessments 75:104200 (2025) https://doi.org/10.1016/j.seta.2025.104200
  3. Crespi E, Guandalini G, Mastropasqua L, Campanari S, Brouwer J. Experimental and theoretical evaluation of a 60 kw PEM electrolysis system for flexible dynamic operation. Energy Conversion and Management 277:116622 (2023) https://doi.org/10.1016/j.enconman.2022.116622
  4. Fredriksen M, J?schke J. Advanced regulatory control structure for proton exchange membrane water electrolysis systems. Systems and Control Transactions 4:1011-1016 (2025) https://doi.org/10.69997/sct.130330
  5. Guo Y, Qi P, Zhang Q, Li M, Liu J, Sun H. Control strategy for hydrogen production system using hto-based hybrid electrolyzers. Energy Reports 13:2354-2364 (2025) https://doi.org/10.1016/j.egyr.2025.01.012
  6. HSL. A collection of Fortran codes for large scale scientific computation. http://www.hsl.rl.ac.uk/
  7. Lubin M, Dowson O, Garcia JD, Huchette J, Legat B, Vielma JP. Jump 1.0: recent improvements to a modeling language for mathematical optimization. Math. Prog. Comp. 15:581-589 (2023) https://doi.org/10.1007/s12532-023-00239-3
  8. Ojong ET, Kwan JTH, Nouri-Khorasani A, Bonakdarpour A, Wilkinson DP, Smolinka T. Development of an experimentally validated semi-empirical fully-coupled performance model of a PEM electrolysis cell with a 3-D structured porous transport layer. International Journal of Hydrogen Energy 42:25831-25847 (2017) https://doi.org/10.1016/j.ijhydene.2017.08.183
  9. Sander R. Compilation of henry's law constants (version 5.0.0) for water as solvent. Atmos. Chem. Phys. 23:10901-12440 (2023) https://doi.org/10.5194/acp-23-10901-2023
  10. Wächter A, Biegler LT. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math. Program. 106:25-57 (2005) https://doi.org/10.1007/s10107-004-0559-y
  11. Xinyu L, Banghua D, Bo Z, Lqilei Z, & Changjun X. Design and control of wind-hydrogen coupled system based on chain distribution strategy [J]. Journal of Solar Energy,  43(06), 05-413. (2022)
(0.15 seconds)

[0.15 s]