Schneider Electric Scaling Green Hydrogen Solutions With AI

The challenge facing industrial leaders seeking to decarbonise operations has long been clear: legacy control systems are expensive to modernise, slow to adapt and incompatible with the AI-powered automation necessary for efficient clean energy production.

However, a new collaboration between Schneider Electric and Microsoft could signal a turning point for the sustainable hydrogen economy, demonstrating how software-defined automation can reduce operational costs whilst significantly improving energy efficiency.

For C-suite executives navigating the energy transition, the business case has traditionally been complicated by the perceived risk of large-scale industrial modernisation. The partnership between these two technology leaders addresses this concern directly, offering a migration path that allows energy plants and industrial facilities to deploy AI-powered systems without replacing existing infrastructure. This approach could mean the difference between gradual sustainable transformation and costly, disruptive overhauls that delay decarbonisation goals.

At the heart of this collaboration sits Schneider Electric's EcoStruxure Automation Expert, the first control system to separate automation software from physical hardware. This architecture enables companies to deploy control applications across different equipment types, regardless of vendor or machine age. Microsoft provides the cloud, AI and edge infrastructure that connects sensors, machinery and enterprise dashboards into a unified system. Together, the companies deliver Industrial Copilot, an AI tool that automates time-consuming modernisation tasks such as writing control code and configuring systems. Engineering teams using this technology have reported cutting work time by 50%, with changes that previously required weeks now completed in hours.

Sustainable hydrogen production at scale

The real-world application of this technology at h2e POWER, a sustainable energy supply firm in India, provides compelling evidence for its potential impact on the clean hydrogen economy. The company faced mounting operational costs due to inflexible legacy control systems managing its hydrogen production unit. By deploying the AI-powered solution developed through the Schneider Electric and Microsoft partnership, h2e POWER achieved a 10% reduction in hydrogen production costs, translating to approximately €500,000 (US$584,000) in annual savings for a larger plant.

Beyond cost reduction, the system has demonstrated more than 6,000 hours of stable operation, indicating strong reliability under varying conditions. The technology continuously monitors and optimises the hydrogen system in real time, managing operations remotely and autonomously. This capability could prove essential for scaling clean hydrogen infrastructure, where operational consistency and energy efficiency are critical to commercial viability.

Siddharth Mayur, Founder and Managing Director of h2e POWER, explains: "Solid oxide electrolyzer cells have always offered unmatched efficiency, but true commercial scale depends on sustainable operations, optimised energy consumption, durability, predictive maintenance and remote, autonomous control."

Energy efficiency through intelligent systems

For sustainability-focused leaders, the energy efficiency gains enabled by this technology could represent a significant advancement. The AI-powered system continuously fine-tunes hydrogen production processes, reducing energy consumption whilst minimising wear on machinery. This dual benefit addresses two critical sustainability objectives: lowering operational carbon footprint and extending equipment lifecycle to reduce industrial waste.

Gwenaelle Huet, EVP of Industrial Automation at Schneider Electric, says: "Every CIO and plant leader asks the same question: can software‑defined automation truly perform under real‑world industrial conditions? Industrial leaders do not need another vision; they need a migration path. Our collaboration with Microsoft and the Industrial Copilot delivers exactly that, proving even the most complex energy systems can run as intelligent, autonomous assets."

The open architecture of the system enables companies to redeploy intelligence across multiple facilities without proprietary system lock-in, a constraint that has historically limited industrial innovation and delayed sustainability initiatives. According to Siddharth, this portability means improvements can be scaled across entire operations: "This open architecture also means we can redeploy intelligence across our entire installed base across multiple locations, without the lock‑in that has constrained industrial innovation for decades."

Strategic implications for industrial decarbonisation

Dayan, Microsoft's CVP of Manufacturing and Mobility, positions the technology within the broader industrial transformation: "What we're seeing at h2e POWER shows the future of industrial automation. The system is powerful and built to scale. Enterprise dashboards unify data across every site, machine learning improves with every hour of operation, and open standards make the control logic fully portable."

For executives developing long-term sustainability strategies, this combination of reduced operational costs, improved energy efficiency and scalable deployment could make clean hydrogen more commercially viable. The technology demonstrates that sustainable operations and financial performance need not be competing priorities, instead showing how AI-powered automation can advance both simultaneously. As industries face increasing pressure to decarbonise whilst maintaining competitiveness, solutions that deliver measurable cost savings alongside environmental benefits could prove essential to achieving net zero commitments at scale.

Siddharth Mayur, Founder and Managing Director of h2e POWER, explains: "Solid oxide electrolyzer cells have always offered unmatched efficiency, but true commercial scale depends on sustainable operations, optimised energy consumption, durability, predictive maintenance and remote, autonomous control."

Energy efficiency through intelligent systems

For sustainability-focused leaders, the energy efficiency gains enabled by this technology could represent a significant advancement. The AI-powered system continuously fine-tunes hydrogen production processes, reducing energy consumption whilst minimising wear on machinery. This dual benefit addresses two critical sustainability objectives: lowering operational carbon footprint and extending equipment lifecycle to reduce industrial waste.

Gwenaelle Huet, EVP of Industrial Automation at Schneider Electric, says: "Every CIO and plant leader asks the same question: can software‑defined automation truly perform under real‑world industrial conditions? Industrial leaders do not need another vision; they need a migration path. Our collaboration with Microsoft and the Industrial Copilot delivers exactly that, proving even the most complex energy systems can run as intelligent, autonomous assets."

The open architecture of the system enables companies to redeploy intelligence across multiple facilities without proprietary system lock-in, a constraint that has historically limited industrial innovation and delayed sustainability initiatives.

According to Siddharth, this portability means improvements can be scaled across entire operations: "This open architecture also means we can redeploy intelligence across our entire installed base across multiple locations, without the lock‑in that has constrained industrial innovation for decades."

Strategic implications for industrial decarbonisation

Dayan, Microsoft's CVP of Manufacturing and Mobility, positions the technology within the broader industrial transformation: "What we're seeing at h2e POWER shows the future of industrial automation. The system is powerful and built to scale. Enterprise dashboards unify data across every site, machine learning improves with every hour of operation, and open standards make the control logic fully portable."

For executives developing long-term sustainability strategies, this combination of reduced operational costs, improved energy efficiency and scalable deployment could make clean hydrogen more commercially viable. The technology demonstrates that sustainable operations and financial performance need not be competing priorities, instead showing how AI-powered automation can advance both simultaneously. As industries face increasing pressure to decarbonise whilst maintaining competitiveness, solutions that deliver measurable cost savings alongside environmental benefits could prove essential to achieving net zero commitments at scale.