Microsoft and Schneider Electric Deploy AI to Cut Green Hydrogen Costs by 10% — Deploying India's First Fully Autonomous Solid Oxide Electrolyser System
AI / AI Tech Trends | 4 min read
Schneider Electric has deepened its collaboration with Microsoft to demonstrate how AI-powered, open software-defined automation can transform green hydrogen production — deploying India's first fully autonomous solid oxide electrolyser (SOEC) system in partnership with Indian clean technology developer h2e POWER. The system has surpassed 6,000 hours of stable operation in part- and full-load conditions, reduced the levelised cost of hydrogen (LCOH) by up to 10% — equivalent to approximately €500,000 per year for a typical 10 MW plant — and demonstrated the potential to cut electricity consumption by up to 10% in a process where electricity accounts for more than 70% of total hydrogen production cost. The deployment is powered by Microsoft Azure AI Foundry and Schneider Electric's open automation platform, with the AI control solution continuously monitoring and adjusting the electrolyser in real time.
Why SOECs Are Hard to Operate — and Why AI Changes That
Solid oxide electrolysers offer the highest energy efficiency of any hydrogen production technology — but their operating conditions are so demanding that autonomous, commercially scalable operation has remained elusive. SOECs require precise, continuous management of thermal balance, hydrogen flow, energy inputs, safety parameters, and equipment health. Without real-time visibility and intelligent control, even technically superior systems run operating costs well above design targets, with limited real-time feedback creating unplanned stack degradation, energy waste, and costly downtime. For h2e POWER, these constraints were pushing operating costs significantly above where they needed to be for commercial viability. Working with Schneider Electric, the companies deployed a new AI-powered control solution on h2e POWER's 20 kW SOEC system — one that continuously monitors and adjusts the electrolyser in real time, managing thermal balance, hydrogen flow, energy inputs, and safety and equipment health, entirely remotely. The system has reduced stack wear significantly, improved energy efficiency by 10%, and enabled just-in-time predictive maintenance — empowering operators to shift their focus from routine monitoring to higher-value strategic work.
"SOECs have always offered unmatched efficiency, but true commercial scale depends on sustainable operations, optimized energy consumption, durability, predictive maintenance and remote, autonomous control. With Schneider Electric's open, software-defined automation and Microsoft's AI capabilities powered by Azure, our systems are becoming smarter, more responsive, safer, and dramatically more scalable."
— h2e POWER
The Industrial Copilot — Bringing AI to the Engineering Edge
Central to the collaboration is the Industrial Copilot — a tool that extends AI intelligence to the edge using Microsoft Azure's cloud and AI services for local inference and reinforcement. The Industrial Copilot automates the engineering tasks that slow industrial modernisation most: writing control logic, configuring systems, and navigating technical documentation. Engineering teams using the technology have reported time savings of up to 50%, with production line changes that once took weeks now completed in hours. The combination of Schneider Electric's open, software-defined automation platform with Microsoft Azure AI Foundry reflects a broader strategy: helping industrial companies break free from proprietary legacy systems and deploy AI-powered automation at scale, without the lock-in and inflexibility that has historically characterised industrial control infrastructure. The SOEC deployment with h2e POWER demonstrates how this approach applies to some of the most energy-intensive and technically demanding industrial processes — not just as a pilot, but as a system running stably for more than 6,000 hours across varying load conditions.
Key Takeaways
- • Schneider Electric and Microsoft have expanded their collaboration to deploy India's first fully autonomous solid oxide electrolyser (SOEC) system, in partnership with Indian clean technology developer h2e POWER. The deployment is powered by Microsoft Azure AI Foundry and Schneider Electric's open, software-defined automation platform, with an AI control solution managing the electrolyser continuously and remotely in real time.
- • Proven results: 6,000+ hours of stable operation across part- and full-load conditions; 10% reduction in levelised cost of hydrogen (LCOH) — equivalent to approximately €500,000 per year for a typical 10 MW plant; 10% improvement in energy efficiency; significant reduction in stack wear; just-in-time predictive maintenance capability demonstrated; potential to cut electricity consumption by up to 10% — significant given electricity accounts for 70%+ of total hydrogen production cost.
- • Why SOECs are hard to operate autonomously: they require continuous, precise management of thermal balance, hydrogen flow, energy inputs, safety parameters, and equipment health. Without real-time visibility and intelligent control, even technically superior SOEC systems run above design costs, with stack degradation, energy waste, and downtime eroding commercial viability. The AI control solution deployed on h2e POWER's 20 kW SOEC system solves this by managing all parameters remotely and continuously — shifting operator focus from routine monitoring to higher-value work.
- • Industrial Copilot: extends AI intelligence to the edge using Microsoft Azure cloud and AI services for local inference. Automates the engineering tasks that most slow industrial modernisation — writing control logic, configuring systems, navigating technical documentation. Engineering teams report up to 50% time savings; production line changes that took weeks are now completed in hours.
- • Strategic context: the Schneider Electric–Microsoft collaboration combines Schneider Electric's open, software-defined automation approach with Microsoft Azure cloud, AI, and edge infrastructure. The goal is to help industrial companies break free from proprietary legacy systems and deploy AI-powered automation at scale. The green hydrogen deployment demonstrates that AI-driven autonomous industrial control is no longer theoretical — it is producing measurable economic outcomes in one of the most energy-intensive and technically demanding industrial processes in the clean energy transition.