AI Waste Heat Recovery Optimization
Identifies and optimizes waste heat recovery opportunities and control strategies to maximize recovered energy and ROI.
The Problem
“Unlock Waste Heat Value Across Complex Assets”
Organizations face these key challenges:
Waste heat quantity and quality fluctuate with load, ambient temperature, and process upsets, making WHR sizing and day-to-day operation difficult to optimize manually
Steam, hot water, and power networks have tight constraints (header pressures, turbine limits, condenser backpressure, emissions, grid export/import rules) that create complex trade-offs and frequent suboptimal bypass/venting
Performance losses from fouling, scaling, leaks, and sensor drift are hard to detect early, leading to sustained efficiency losses and unplanned downtime
Impact When Solved
Real-World Use Cases
Process Optimization in Energy Operations
It helps machines work better and use less energy to save money.
Power Plant Efficiency Optimization AI
This AI helps power plants work better and use less fuel.
Heat Rate Optimization for Power Plants
AI helps power plants use less fuel to make electricity, saving money and reducing pollution.