X_= mole fraction of each gas in the mixture k = thermal conductivity of each gas (NIST, 2025). Mole fractions are calculated using: X_H₂ = C_H₂ / (C_H₂ + C_O₂ + C_H₂O) This provides a corrected conductivity value for accurate hydrogen estimation. Integration with Modcon.AI The AEL process involves complex environmental and operational dynamics, requiring adaptive gas analysis. MOD 1040 and 1060 analysers provide high-performance monitoring across the electrolyser lifecycle, ensuring safety and accuracy even under challenging conditions. Designed for inline use up to 200 Barg, they can handle humidity, water vapour, and KOH traces without sampling systems. Maintenance- free and cost-effective, they lower installation risks. Fully certified to meet ATEX, IECEx and SIL2 requirements, they allow for continuous H₂ and O₂ monitoring in industrial electrolysers. When fused with Modcon.AI, the sensor fusion system becomes self-optimising. Modcon.AI adds advanced layers of intelligence, including:
• Predictive analytics adjusts for process fluctuations. • Dynamic control algorithms optimise electrolyser settings in real-time. • Anomaly detection prevents inaccurate readings and potential safety risks. Benefits of Modcon.AI integration in electrolyser operations: • 15% higher hydrogen production efficiency. • 20% reduced energy consumption. • Improved hydrogen purity via real-time impurity correction. • 30% lower system downtime with predictive maintenance.
VIEW REFERENCES
Gregory Yakhnin gregory.yakhnin@modcon.group Galina Gurina galinag@modcon-systems.com Gregory Shahnovsky gregorys@modcon-systems.com
www.decarbonisationtechnology.com
75
Powered by FlippingBook