HyReCo targets a broad community of stakeholders along the hydrogen value chain. This page outlines the main stakeholder groups and describes practical use cases for the AEM cell platform and digital twin.
Target Stakeholders
HyReCo’s results are relevant for:
- Component suppliers and SMEs:
- bipolar plate manufacturers,
- PTL and mesh producers,
- membrane and CCM suppliers,
- gasket and sealing solution providers,
- coating specialists.
- Electrolyser OEMs and system integrators.
- Digitalisation and software providers (modelling, AI, digital twins).
- Research organisations and universities.
- Hydrogen clusters, policy makers and standardisation bodies.
Use Cases
High‑Rate Bipolar Plate Production
HyReCo provides validated designs and process concepts for both metallic and graphite composite bipolar (half) plates:
- stretch‑forming steel and cold‑plating concepts to increase forming degree and reduce coating costs,
- hot‑pressing of ultra‑thin graphite composites combined with roll embossing for high‑rate forming,
- LCC‑based evaluation of the business case for different BPP technologies.
Industrial partners can implement continuous forming and coating lines and use the HyReCo design knowledge to reduce material usage and cycle times while entering the AEM BPP market.
Digital Twin‑Supported Operation
The HyReCo digital twin framework allows operators and OEMs to:
- monitor performance and degradation of AEM stacks in real time,
- estimate virtual internal states using AI / INN‑based models,
- plan predictive maintenance and avoid critical operating conditions.
This enables more reliable and efficient operation, reduced downtime and better adaptation of operating strategies to different use cases and energy supply conditions.
Transfer to Other Hydrogen Technologies
Although HyReCo focuses on AEM electrolysers, the modelling, AI and digital twin methods are transferable to:
- PEM electrolysers,
- alkaline electrolysers,
- PEM fuel cells.
The generic workflow from high‑fidelity models to reduced‑order and AI‑based models can be reused in other hydrogen projects and technologies.