ARCME
Advanced real-time condition monitoring for enhanced reliability in electrolyzer operation
Project area
Resource procurement (Input)
Fuel production
Refining and upgrading
Storage
Transport
Distribution
Utilisation
Post-treatment and recycling
Safety and standardisation
Systems integration / sector coupling
Community work and stakeholder involvement
Structural frameworks, regulation, and markets
All projects in the MissionGreenFuels project portfolio contribute to the green transition across the green fuels value chain and cross-cutting themes. The highlighted icons indicate the area this project contributes to. Click on the icons to lean more.
Project description
Electrolyzers play a vital role in producing green hydrogen, essential for sustainable energy systems. Among them, Solid Oxide Electrolyzers (SOEs) stand out as one of the most promising technologies for the future due to their superior efficiency. However, large-scale deployment of electrolyzers brings challenges, particularly in maintaining system stability and managing degradation under various dynamic operating conditions.
A recent breakthrough, the patented AC:DC operation method, introduces a novel approach that rapidly alternates between electrolysis and fuel cell modes. This dynamic operation has been proven to significantly extend the lifetime of SOEs. Importantly, it also generates rich, time-varying voltage and current signals, offering new and valuable input data for condition monitoring.
To harness this potential, advanced real-time condition monitoring tools are needed. These tools will enable precise insight into system health, allowing for more reliable, efficient, and long-lasting operation. As electrolyzer systems scale up, such monitoring capabilities will be essential to ensure performance consistency and reduce costs.
Project facts
Project start
October 2025
Project status
Funding pool
Inflection point
Value chain and theme
Project objectives
Developing dynamic multiphysics models to analyze state-of-health parameters for SOE cells and stacks under AC:DC operation across one- to three-dimensional scales.
Developing advanced impedance analysis methods from current and voltage signals generated by AC:DC operations.
Developing accurate and efficient real-time condition monitoring tools and demonstrate its effectiveness on a 5KW SOE stack system.
Project partners
Impact & outcome
The ARCME project will deliver practical tools for real-time monitoring of SOE systems, with a focus on stack-level applicability. These tools are expected to:
- Enable predictive maintenance by providing accurate, real-time insights into system health, thus reducing operational and maintenance costs.
- Extend the lifetime and improve the reliability of electrolyzer systems, supporting their large-scale integration into renewable energy networks.
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