YBG Global reconstructs how large-scale industrial thermal infrastructure actually behaves — from the operational record it already produces.
ControlAlign™ does not modify your control system. It interprets the operational record you already produce — reconstructing thermal-state behaviour, quantifying departure from best demonstrated performance, and returning operator-actionable guidance under a deterministic, audit-reviewable methodology.
Existing DCS and APC layers were engineered to maintain combustion and control stability — and they perform that role well. They were not, however, designed to explicitly interpret the radiative dimension of furnace operation.
ControlAlign™ is an interpretive operational intelligence layer above conventional control architecture — not a replacement for it.
It coexists with existing DCS / APC environments while maintaining traceability, explainability, and engineering reviewability.
Representative interpretive outcomes drawn from historian-derived diagnostic engagements. Unit identifiers are withheld under operational confidentiality; methodology is reproducible and audit-reviewable.
Indicative reconstruction of unit operation against its own best demonstrated state. Each engagement produces a unit-specific deterministic interpretation, not a generalised model output.
Visitors progressively descend into deeper technical detail without being forced into it immediately. Each layer is independently coherent and audit-reviewable.
Each stage is independently reviewable and may conclude an engagement on its own terms. Movement to the next stage is operationally justified, not commercially obligated.
No. YBGGlobal.com / ControlAlign™ is a standalone operational thermodynamics intelligence platform. The interpretation is the product — historian-derived, read-only, deterministic, audit-grade. There is no hardware sale, no equipment deployment, and no combustion-modification engagement attached to this platform.
Separate engineering and combustion-enhancement activities are operated independently within the broader YBG Group at yullbrownsgas.com and are not part of any ControlAlign™ engagement.
Read full FAQ →ControlAlign™ is an operational intelligence layer for the engineers, operators, and asset managers accountable for fuel and energy intensity, thermodynamic stability, and unit-to-unit consistency across large-scale industrial thermal infrastructure — with thermal power as the deployed vertical and adjacent industrial heat, LNG, refining, CCS, and heavy-industry environments on the platform roadmap.
ControlAlign™ is most effective in historian-rich thermal environments where operational drift, fuel intensity, and thermal-performance stability are commercially significant.
Heat-rate deterioration often develops gradually while units continue appearing operationally stable. ControlAlign™ helps operators sustain historically demonstrated thermal performance using existing operational data.
Live interpretation of steam-fuel ratio, thermal coupling effectiveness, and operational stability per unit. All values are read-only outputs of the deterministic engine.
Each tile is a deterministic output of the interpretation engine. Same historian input, same interpretive result — across runs, across analysts, across audit reviews.
An enterprise systems architecture with bounded responsibilities at each stage. No control authority, no operational intervention, no model drift between runs.
A fixed seven-stage workflow from first historian export to audit-grade carbon reporting. Identical at single-unit and national-fleet scale.
ControlAlign™ identifies and quantifies performance drift using plant operating data.
This establishes the measurable gap between current operation and the unit's best demonstrated performance.
The initial objective is to stabilise operation and reduce variability across real operating conditions.
In some cases, further gains may be achieved by improving how heat is transferred within the furnace environment.
ControlAlign™ produces auditable, historian-derived operational guidance — not recommendations for equipment modification or capital expenditure.
ControlAlign™ is a deterministic, historian-derived interpretive system. It reconstructs operational history, quantifies drift from best-demonstrated thermal states, and produces auditable operator guidance — without control authority, without hardware dependency, and without engagement ambiguity.
We'll send you the ControlAlign™ Data Requirements & Preparation Guide — outlining the required historian data, fuel inputs, and simple DCS export steps. Once data is shared, we proceed directly with analysis.
Industrial efficiency is fundamentally a thermodynamic problem. Fuel intensity, parasitic energy load, emissions intensity and process stability are all downstream outcomes of how a facility actually transfers heat — and most large industrial assets operate persistently below their own best demonstrated thermodynamic state. ControlAlign™ reconstructs that state from existing historian data, wherever combustion, compression, steam, refrigeration, or process energy transfer occurs at scale.
The Thermal Power Economic Impact Model above is one deployed operational application within a much broader thermodynamic intelligence platform — covering thermal-state intelligence, industrial energy topology, process thermal stability, emissivity-aware optimisation, radiative coupling, parasitic energy load reduction, thermodynamic drift, and historian-derived intelligence across industrial thermal ecosystems.
The analysis is fully data-led and derived from the unit's own DCS historian data. It focuses on identifying the unit's best demonstrated operating envelope, quantifying any variance from that state, and translating observed conditions into operator-level control guidance.
ControlAlign™ provides an MRV-grade interpretive layer that ties operational thermal-state behaviour to emissions-intensity outcomes — traceable from historian source data through to audit-reviewable carbon performance reporting.
Read-only. Deterministic. Aligned to internal MRV, ESG, and engineering-committee review processes. YBG does not issue carbon credits and does not represent itself as a credit-issuing authority — the platform produces the underlying operational evidence that emissions-intensity reporting depends on.
Explore Carbon Intelligence →The analysis centres on radiative heat-transfer effectiveness — the operating conditions under which thermal energy has historically been delivered, absorbed, and sustained more effectively within the process environment, without any increase in fuel input.
More effective heat transfer may potentially be achieved with less fuel input. Systems focused primarily on combustion efficiency may still miss substantial latent value associated with how effectively heat is transferred and absorbed throughout the thermal process environment. ControlAlign™ extracts this using historian-derived operational intelligence — a deterministic, repeatable framework derived entirely from your own data.
Industrial fuel intensity is increasingly becoming a strategic infrastructure variable. Across thermal power generation and high-temperature industrial systems, relatively small sustained improvements in thermal efficiency can represent material economic and emissions-intensity outcomes at fleet scale.
YBG's framework focuses on identifying fuel-value drift, reconstructing best demonstrated thermal operating states, and improving radiative heat-transfer effectiveness using historian-derived operational intelligence.
The objective is not merely combustion optimisation. It is improving how effectively thermal energy is transferred, absorbed, and sustained throughout the industrial process environment.
The future of industrial decarbonisation may increasingly involve recovering thermal performance already latent within existing infrastructure.
Relatively small sustained fuel-intensity improvements can become strategically material at industrial fleet scale. YBG’s framework focuses on identifying recoverable thermal performance using historian-derived operational intelligence and radiative heat-transfer analysis.
At industrial scale, relatively small sustained thermal-efficiency improvements can become strategically material.
The future of industrial decarbonisation may increasingly involve recovering thermal performance already latent within existing infrastructure.
ControlAlign™ engagements are structured relative to the measurable operational value identified within each generating unit.
In large thermal environments, even relatively small improvements in fuel intensity may correspond to substantial annual economic recovery.
YBG's commercial structure is therefore designed to remain materially small relative to the operational value unlocked — aligning long-term incentives between plant performance, operational stability, and service delivery.
Because ControlAlign™ derives its intelligence directly from plant operational history, the platform focuses on measurable operational recovery rather than theoretical optimisation targets.
This allows performance discussions to remain grounded in:
Commercial structures aligned to measurable operational value. Designed for economically material performance recovery.
Historian-derived operational intelligence for reconstruction, stabilisation, and optimisation of thermal performance.
ControlAlign™ reconstructs the plant's own historical operating behaviour to identify superior thermal-performance states, quantify operational drift, align operation toward proven conditions, and continuously verify recurring economic recovery.
ControlAlign™ is built around a defined set of deterministic interpretive disciplines applied to historian-derived operational data. Each discipline is reproducible and audit-reviewable.
ControlAlign™ is engineered to operate strictly as a remote interpretive layer. The platform never holds control authority over plant equipment, never modifies control logic, and never intervenes in operations.
Each deliverable is generated from the same deterministic interpretation engine and presented in audit-reviewable form.
A deterministic interpretation framework for thermal-state behaviour, fuel-intensity drift, and radiative coupling within existing thermal infrastructure — derived entirely from industrial historian environments.
Includes:
The full doctrine is openly available — no submission required. Institutional methodology framework for historian-derived thermal-state interpretation.
Explore the full Methodology →