Carbon Capture Technology World Expo
“Smarter, Safer, Cheaper Hydrogen: Modcon AI Brings Next-Gen Optimization to Electrolyzers”
Hydrogen is no longer just the fuel of the future—it’s the fuel of today.
But producing it safely, efficiently, and cost-effectively remains a challenge. Electrolyzers face gas crossover risks, fluctuating renewable inputs, and high electricity costs.
Modcon’s AI-powered in-situ analyzers and advanced control solutions close this gap. By eliminating sampling lines, providing real-time H₂/O₂/dew point monitoring, and applying digital twins reinforced by AI, we bring a new standard of safety, efficiency, and reliability to hydrogen production.
With Modcon, safety and economics are no longer trade-offs—they are optimized together.
Modcon AI Brings Next-Gen Optimization to Electrolyzers
🔹 The Challenge
Hydrogen electrolyzers are limited by:
-
Gas crossover → safety hazards.
-
High energy costs → 60–70% of LCOH.
-
Stack degradation → costly downtime & replacements.
🔹 The Modcon Solution
Fusion of In-Situ Analyzers + AI Optimization
-
Hydrogen, Oxygen & Dew Point analyzers → ATEX/IECEx/SIL-2 certified.
-
APC + RTO + AI (DRL) → advanced control that learns and adapts.
-
Digital Twins → real-time simulation for predictive control.
🔹 Proven Benefits
✅ 3–5% lower energy consumption → reduced LCOH.
✅ +1–2 years stack lifetime → savings up to $300,000 per MW.
✅ Safety-first: continuous crossover monitoring.
✅ Revenue uplift: certified oxygen by-product.
✅ Seamless grid integration with renewables.
🔹 Why It’s Unique
Unlike conventional sampling systems, Modcon’s in-situ analyzers remove delays, lower CAPEX, and ensure real-time optimization by design. Safety and efficiency are co-optimized — not traded off.
)
)
)
)
){kind=logo}
)
)
){kind=logo}
)
)
)
)
){kind=logo}
)
){kind=logo}
)
)
)
)
)
)
)
){kind=logo}
)
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
)
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
)
){kind=logo}
)
)
){kind=logo}
){kind=logo}
)
)
){kind=logo}
)
){kind=logo}
)
){kind=logo}
)
)
)
)
)
)
)
)
)
)
)
)
){kind=logo}
)
)
)
)
){kind=logo}
){kind=logo}
){kind=logo}
)
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
)
)
){kind=logo}
)
){kind=logo}
){kind=logo}
)
){kind=logo}
)
)
