Thermal Performance Intelligence — Deterministic Operational Intelligence Beyond Generic Industrial AI
Thermal power fleets do not need another analytics overlay. They need deterministic operational intelligence — historian-derived, reproducible, and audit-grade. This is the framework behind YBG ControlAlign™.
The limits of generic industrial AI in thermal power
Industrial AI products promise plant-wide optimization through inference. In domains where outcomes can be A/B tested and decisions are reversible, that approach has merit. In thermal power, where every decision propagates through fuel cost, emissions exposure, equipment life and dispatch obligation, opaque inference is operationally unsuitable.
Thermal power operators, EPC contractors and infrastructure sponsors require interpretation that is deterministic, reproducible, and traceable to the historian tags it was derived from. That is the standard ControlAlign™ is built to.
Thermal performance intelligence, defined
Thermal performance intelligence is the discipline of reconstructing a thermal unit's demonstrated operating reference state from its own historian record, and interpreting deviation from it — deterministically, continuously, and at fleet scale.
It sits beneath every applied area of ControlAlign™: boiler optimization, heat rate improvement, thermal power plant efficiency, power plant optimization, combustion and radiative performance alignment, operational drift detection, and historian operational intelligence.
The eight disciplines of operational thermodynamics
The canonical methodology is documented in full in the operational thermodynamics methodology. Eight engineering disciplines, each deterministic, reviewable and historian-derived.
Steam-fuel interpretation
Load-normalized reconstruction of steam-to-fuel behaviour from the historian record.
Thermal-state reconstruction
Coherent reconstruction of pressure, temperature, flow, combustion across the load envelope.
Radiative coupling behaviour
Interpretation of furnace radiative transfer and its contribution to effective heat transfer.
Thermal coupling effectiveness
Deterministic indicator of combustion-to-working-fluid energy transfer.
Operational drift detection
Continuous identification of deviation from best demonstrated performance.
Best demonstrated performance
Empirical historian-derived envelope of the unit's own proven optimum.
Historian-derived interpretation
Read-only, non-intrusive ingestion from existing process historians.
Deterministic operational analytics
No black-box models — reproducible, traceable, engineering-reviewable.
What thermal performance intelligence delivers
- Recurring fuel-value recovery, verified deterministically against the historian record.
- Sustained heat rate improvement and coal consumption reduction at unit and fleet scale.
- Continuous detection of operational drift before it propagates into measurable efficiency loss.
- Fleet-wide visibility of demonstrated capability, current alignment and recoverable performance.
- Audit-grade interpretation suitable for plant, regulator and infrastructure-sponsor review.
- Direct support for thermal power decarbonisation through verified fuel-value recovery. See carbon intelligence.
ControlAlign™ — the operational reference-alignment layer
ControlAlign™ is the historian-derived operational reference-alignment layer for thermal power fleets. Not generic industrial AI. Not a dashboard. A deterministic engineering interpretation discipline, productised for fleet-scale deployment. See how ControlAlign™ works.
Move from generic industrial AI to deterministic operational reference alignment
ControlAlign™ is the historian-derived operational reference-alignment layer for thermal power fleets. Request an operational assessment against your own historian environment.