The Challenge: Hydrogen is one of the most valuable and constrained utilities in modern refineries. With deeper crude processing, stricter fuel norms, and rising hydroprocessing severity, managing hydrogen efficiently has become critical for profitability, energy efficiency, and sustainability.

Traditional manual hydrogen balancing cannot keep up with real-time fluctuations in hydrogen demand, purity shifts, PSA recovery variations, or feed changes. Such variations can lead to hydrogen losses and suboptimal unit performance.

This webinar introduces an AI PlantOps Driven - Hydrogen Network Optimization framework that predicts hydrogen demand, estimates supply from HGU/CCR/PSA systems, and recommends optimal allocation across refinery units, minimizing flaring, improving recovery, and reducing energy costs.

 Join us to learn how AI PlantOps, through its hydrogen optimization use case, can unlock 5–10% hydrogen savings while enhancing operational stability and lowering carbon footprint.