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Energy · Generation

Power generation — AI for combined-cycle, steam and gas turbines

AI Autopilot optimizes heat-rate across combined-cycle, peaker and baseload plants. It coordinates turbine loading, boiler firing, HRSG duty, and auxiliary power to push efficiency while respecting operational envelopes and emissions limits.

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Combined-cycle gas turbine generator hall

Overview

Every 1% of heat-rate improvement on a 500 MW combined-cycle plant is roughly $2-4M per year in fuel alone. Generators have wrung most of the easy gains out through CCMS upgrades and advisory tools — what is left requires real-time, multi-unit optimization that humans simply cannot manage.

Dispatch patterns, ambient conditions, and fuel quality all interact. Optimal loading for one unit is rarely optimal for the plant as a whole. Operators default to rules-of-thumb that leave dollars on the table during off-peak hours and during ramps.

BrainiAll AI Autopilot runs a multi-unit dispatch optimizer that accounts for current demand, ambient temperature and humidity, fuel price, emissions constraints, and equipment health. It recommends loading per unit, steam routing, and auxiliary adjustments — continuously, not once per shift.

-0.5-1.5%Heat-rate reduction typical
↑ MWNet output on hot days
PermitEmissions stay inside envelope
< 12 moTypical payback

What Autopilot does

Continuous, multi-variable control — not single-loop PID. Advisory-layer architecture keeps safety untouched.

Multi-unit dispatch optimization

Coordinates loading across gas + steam turbines to minimize heat-rate across the total plant load curve.

Ambient-aware tuning

Adjusts inlet-air cooling, compressor washing, and dispatch to shifts in temperature and humidity.

Emissions-aware optimization

Holds NOx / CO within permit while maximizing efficiency — not at opposite ends.

Ramp & start-up guidance

Optimizes start sequences to cut fuel waste during non-steady-state hours.

Health-based dispatch

Equipment-condition scoring ranks units to delay maintenance costs without compromising reliability.

Variables continuously tuned

The AI reads every sensor on the circuit and solves the optimal setpoint combination in real time.

  • Load (MW) per unitPrimary dispatch lever.
  • Inlet-air cooling / foggingHigh-impact on hot days.
  • HRSG duty & diverterRoutes heat between steam and bypass.
  • Combustion air / fuel ratioNOx-efficient trim.
  • Auxiliary power (house load)Often under-optimized.
Business case

On a 500 MW combined-cycle block, a 1% heat-rate improvement at $4/MMBtu gas is worth roughly $2-3M/year. Add ambient-tuned output on hot days and the business case gets stronger. Payback under a year in most deployments.

Integrates with your existing control systems

GE Mark VIeSiemens SPPAMitsubishi DIASYSABB 800xAEmerson OvationHoneywell Experion

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See what AI Autopilot can unlock in your plant

Free Bottleneck Assessment — our engineers analyze your plant data and deliver a fact-based report in 10 business days. No commitment, no cost.

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