End User
UTBM
Description
This AI-powered service enables intelligent control of hydrogen technologies within microgrids by coordinating real-time operation of electrolyzers, fuel cells, and other energy storage systems. It ensures optimal energy flow between hydrogen and electrical systems, enhancing efficiency, reducing renewable intermittency, and supporting grid stability.
Core Capabilities
Optimization & Decision Support
Automation & Control Systems
Business Need
By using AI-driven active control, the service enables real-time optimization of hydrogen production, storage, and consumption. This significantly improves energy efficiency, reduces dependence on diesel backup systems, and maximizes return on investment in hydrogen infrastructure. It's particularly important as industries and grid operators seek to decarbonize operations, enhance energy resilience, and make the most of hybrid renewable-hydrogen systems in response to climate goals and energy transition policies.
Key Performance Indicators
Root Mean Square Error (RMSE) / Mean Absolute Error (MAE)
Data Provided
Operational Data (Real-Time & Historical), from SCADA, onboard sensors, or hydrogen system controllers (unknown datasize) (existing documentation for structure) (data resolution per minute)
TEF
TEF H2