AI for India's Green Hydrogen Sector
India's National Green Hydrogen Mission targets 5 MMTPA by 2030. Achieving it requires intelligent automation across electrolysis, storage, safety, and supply chain — MNB Research is building those systems now.
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AI Applications in Green Hydrogen
Electrolyser Optimisation
AI tuning of electrolysis parameters (pressure, temperature, current density) to maximise H₂ yield per kWh of renewable input.
Safety & Leak Detection
ML-powered sensor fusion for real-time hydrogen leak detection, explosion risk assessment, and automated safety shutdowns.
Renewable Integration AI
Forecasting solar/wind availability to optimise electrolyser scheduling and storage decisions across the production cycle.
Supply Chain Management
Automated logistics for compressed/liquid H₂ distribution — tracking cylinders, tankers, and station inventory in real-time.
Case Study — Green H₂ Pilot Achieves 14% Efficiency Gain
An electrolyser pilot project deployed MNB Research's optimisation AI and achieved 14% improvement in hydrogen yield per kWh, demonstrating significant cost reduction potential at commercial scale.