ControlAlign™ · Industrial Thermodynamic Intelligence — LNG · CCS/CCUS · Refining · Petrochemicals · Thermal Power · Biomass · Industrial Steam & Process Heat
PlatformVisibilityHow It WorksMethodologyTechnologyCarbon IntelligenceSample DiagnosticDoctrineResourcesAboutFAQContactRequest Assessment →
Carbon Intelligence · MRV Layer · Thermodynamic Intelligence Architecture

Convert verified thermodynamic-performance gains into auditable CO₂ reduction datasets.

YBG operates the measurement, verification, and reporting layer that turns interpreted thermal-state improvement — across fuel intensity, parasitic energy load, and heat-transfer effectiveness — into compliance-ready and carbon-market-ready data, distinct from the control systems that operate the plant.

LNGCompression trainPROCESS HEATIndustrial furnaceREFINERYCrude / FCC complexPETROCHEMCracker / utilitiesCCS / CCUSCapture + compressionSTEAM SYSTEMHeader networkTHERMAL POWERGeneration blockCOGENERATIONProcess + powerGAS COMPRESSIONPipeline boostINDUSTRIAL ENERGY TOPOLOGY · OPERATIONAL THERMAL COUPLINGAMBER VECTORS · THERMODYNAMIC COUPLING INTENSITY
Industrial Energy Topology — Inter-System Thermodynamic Coupling
Measurement GapControl vs verification

Existing control and optimisation systems operate the plant. They do not, on their own, provide the unit-specific baseline, load-normalised fuel delta, or audit-ready MRV logic required to convert operational data into a defensible CO₂ reduction dataset.

Control systems provide
  • MW load
  • Fuel flow
  • Combustion condition indicators
  • Steam conditions
  • Temperature data
YBG adds
  • Unit-specific baseline
  • Load-normalised fuel delta
  • Verified efficiency improvement
  • CO₂ reduction dataset
  • Audit-ready MRV logic
Drift TraceabilityCausality mapping

Carbon intensity is not a primary observable. It emerges from upstream thermodynamic behaviour — combustion-state deviation, heat-transfer effectiveness drift, radiative coupling loss, and parasitic-load creep — propagating deterministically into fuel intensity, emissions intensity, and parasitic energy share.

Combustion-state deviationHeat-transfer effectiveness driftRadiative coupling lossParasitic-load creepFuel IntensityGJ / unit outputEmissions IntensitytCO₂·e / unit outputParasitic Energy Share% of primary inputUPSTREAM · THERMODYNAMIC DEVIATIONDOWNSTREAM · OPERATIONAL INTENSITYCAUSALITY PROPAGATION FIELD · DETERMINISTIC INTERPRETATIONTHERMODYNAMIC DRIFT TRACEABILITY · CARBON-INTENSITY EMERGENCE
Drift Traceability — Hidden Thermodynamic Behaviour → Carbon Intensity
Parasitic EnergyCompression · capture · transfer

Across LNG compression, CCS / CCUS capture trains, refinery utilities, and industrial process-heat networks, a deterministic share of primary energy is consumed as parasitic load rather than useful thermodynamic work. The YBG interpretation layer maps where that burden accumulates and how it propagates across the asset.

SOURCEPrimary Fuel Input100%Useful Thermodynamic Work≈ 58%Compression Penalty≈ 9%Capture Energy (CCS)≈ 7%Heat-Transfer Loss≈ 6%Process-Heat Drift≈ 5%Stack / Radiative Loss≈ 15%PARASITIC ENERGY BANDPARASITIC ENERGY PROPAGATION · DETERMINISTIC DISTRIBUTIONINDICATIVE BANDS · ASSET-SPECIFIC ON INTERPRETATION
Parasitic Energy Propagation — Compression · Capture · Transfer · Drift
What It EnablesThree institutional outputs

The MRV layer produces structured outputs designed for compliance reporting, third-party verification, and where applicable, carbon-credit pathway participation under approved methodologies.

01
Compliance Readiness
Datasets structured to support regulatory and disclosure frameworks where applicable.
02
Verified Reduction Evidence
Load-normalised fuel and CO₂ deltas traceable back to validated plant data.
03
Credit Pathway Support
A measurement foundation suited to third-party verification under approved methodologies.
Example Impact

Indicative scale of measurable CO₂ reduction at a representative thermal unit. Final values depend on coal quality, plant data, operating profile, approved emission factors, and verification requirements.

Indian coal unit · 600 MW · 85% PLF · 3% efficiency gain
Coal saved
~100,000
tonnes / year
CO₂ reduction
~240,000
tCO₂ / year
Illustrative only. Actual outcomes depend on plant data, fuel characteristics, operating profile, approved emission factors, and applicable verification methodology.
Environmental & ESG AlignmentEMS · MRV · Governance

YBG's operational intelligence framework supports environmental performance accountability through audit-grade historian analytics, fuel-efficiency traceability, emissions-intensity monitoring, and verifiable operational reporting aligned with modern EMS and ESG expectations.

01
Environmental Traceability
Establishes measurable operational baselines and performance deviation tracking derived directly from plant historian data.
02
Carbon MRV Readiness
Supports measurement, reporting, and verification workflows associated with fuel reduction and emissions-intensity improvement initiatives.
03
Governance-Ready Analytics
Provides audit-grade operational transparency suitable for executive, infrastructure, ESG, and compliance review environments.
04
Fleet-Level Environmental Intelligence
Supports enterprise visibility into operational drift, emissions performance, and recoverable efficiency opportunities across generation portfolios.

Operational Alignment with Modern EMS Expectations

YBG does not provide ISO certification services.

However, the platform is designed to support organizations pursuing stronger environmental accountability, operational traceability, emissions-performance visibility, and governance-aligned reporting frameworks consistent with evolving environmental management expectations including ISO 14001 directionality.

  • Audit-grade historian analysis
  • Environmental performance traceability
  • Operational emissions visibility
  • Fuel-efficiency verification
  • Governance-ready reporting support
  • Carbon accountability infrastructure
Clarification

Measurement is the foundation. Issuance requires approval.

YBG does not claim automatic carbon-credit issuance. Carbon credits depend on applicable methodology, ownership rights, third-party verification, registry rules, and regulatory approval.

YBG provides the measurement and verification foundation required to support those processes — engineer-defensible, deterministic, and traceable to validated source data.

Institutional Statement

YBG's Carbon Intelligence layer is designed to convert thermal performance improvement into verifiable, audit-ready CO₂ reduction datasets — supporting compliance disclosure, fleet-scale emissions reporting, and carbon-market participation under approved methodologies.

Industrial Applications · ControlAlign™