AI Steam System Optimization

Optimizes steam generation and distribution using AI to reduce fuel use, maintain pressure stability, and prevent losses.

The Problem

“Reduce steam losses and fuel waste plantwide”

Organizations face these key challenges:

Frequent steam header pressure instability causing trips, flaring, and production constraints

Chronic energy losses from venting, PRV letdown, poor condensate return, and steam trap/leak failures that are hard to pinpoint in real time

Siloed controls and limited instrumentation make it difficult to optimize boiler loading, excess O2, and multi-header steam dispatch under changing demand and equipment constraints

Impact When Solved

3–8% boiler fuel reduction via optimized boiler dispatch, excess O2 control, and real-time steam balancing10–30% reduction in steam venting/letdown through predictive control and proactive constraint management across headers20–50% fewer pressure excursions and faster detection of abnormal losses (e.g., failed traps, leaks, fouled heat exchangers), improving reliability and throughput

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.

Time-SeriesEmerging Standard

8.5

AI for Optimizing Power Plant Operations

AI helps power plants run better and save money.

optimizationgrowing

7.0