End User
UTBM
Description
The AI-Driven Active Control service provides an adaptive control framework for hydrogen technologies within renewable energy microgrids, optimising the coordination between electrolysers, fuel cells, and energy storage systems to ensure efficient energy flow between renewable generation, hydrogen production, storage, and consumption. The service aims to maximise renewable utilisation and improve microgrid flexibility and resilience.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
Hydrogen-integrated microgrids require coordinated management of multiple energy conversion assets — PV generation, electrolysers, fuel cells, storage — whose interactions create operational complexity that rule-based control cannot adequately handle. AI-driven active control enables adaptive optimisation across varying renewable generation, demand conditions, and system states, maximising the efficiency benefits of hydrogen as a seasonal flexibility asset.
Key Performance Indicators
Energy efficiency indicators: renewable utilisation and hydrogen system utilisation rates
Coherence of energy flows across microgrid components
Robustness across varying renewable generation and load demand scenarios
Physical consistency of control actions with operational constraints
Data Provided
Time-indexed control outputs for fuel cells, electrolysers, and storage systems
Energy flows between renewable sources, hydrogen assets, and electrical loads
Performance indicators for energy efficiency and hydrogen utilisation
Inputs: energy demand, renewable generation, hydrogen system states, weather conditions
TEF
TEF H2