Name
Operator Case Study 4: Boosting Efficiency on Existing Assets: Real-Time AI for Energy Optimization
Date & Time
Thursday, April 9, 2026, 10:10 AM - 10:30 AM
Description
- Applying non-deterministic AI models to real-time process data to identify hidden optimization opportunities for energy consumption on brownfield assets.
- Reducing energy costs and carbon emissions without major capital investment by making continuous, AI-driven adjustments to existing control systems.
- Demonstrating how AI can learn and adapt to the unique operating signature of individual assets to uncover sustained performance gains.