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CANONICAL FRAMEWORK · THERMAL PERFORMANCE INTELLIGENCE

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™.

Operational intelligenceIndustrial performance analyticsReference-state alignmentHistorian-derivedDeterministic, not inferredAudit-grade
INDUSTRY CONTEXT

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.

FRAMEWORK

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.

ARCHITECTURE

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.

01

Steam-fuel interpretation

Load-normalized reconstruction of steam-to-fuel behaviour from the historian record.

02

Thermal-state reconstruction

Coherent reconstruction of pressure, temperature, flow, combustion across the load envelope.

03

Radiative coupling behaviour

Interpretation of furnace radiative transfer and its contribution to effective heat transfer.

04

Thermal coupling effectiveness

Deterministic indicator of combustion-to-working-fluid energy transfer.

05

Operational drift detection

Continuous identification of deviation from best demonstrated performance.

06

Best demonstrated performance

Empirical historian-derived envelope of the unit's own proven optimum.

07

Historian-derived interpretation

Read-only, non-intrusive ingestion from existing process historians.

08

Deterministic operational analytics

No black-box models — reproducible, traceable, engineering-reviewable.

OPERATIONAL OUTCOME

What thermal performance intelligence delivers

POSITIONING

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.

Enterprise Engagement

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.

Industrial Applications · ControlAlign™
Industrial Thermodynamic IntelligenceThermal-State DiagnosticsIndustrial Heat-Transfer IntelligenceProcess Thermal StabilityIndustrial Operational ThermodynamicsIndustrial Energy Systems OptimisationProcess Heat & Energy-Intensity OptimisationCombustion & Radiative Coupling Optimisation