AI Anaerobic Digestion Control
The Problem
“Stabilize biogas yield amid volatile digester conditions”
Organizations face these key challenges:
Feedstock variability (COD/VS, fats/oils/grease, inhibitors) causes unpredictable gas yield and sudden VFA accumulation
Limited real-time visibility (lab results delayed by hours/days) leads to conservative operation and late response to instability
Gas quality and reliability requirements (CH4%, H2S, siloxanes, moisture) create penalties, curtailment, or equipment damage when control is reactive
Impact When Solved
The Shift
Real-World Use Cases
AI in Energy Industry: Smart Grid Optimization and Energy Management
This is like giving the entire power system—power plants, grids, and large customers—a real‑time ‘autopilot’ that constantly predicts demand, reroutes electricity, and tunes equipment so you use less fuel, waste less energy, and keep the lights on more reliably.
AI Grid Congestion Management
This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.