Energy Flow Attribution Standard (EFAS)

EGA™ Standards & Modules Index

Architecture: EGA™ — Energy Governance Architecture

Category: Physical Energy Lifecycle Governance

Subcategory: Physical Energy Flow Attribution, Origin-to-Destination Traceability & Allocation Governance

Type: Parent Standard

Governed Space: Physical Energy Flow Attribution, Energy Carrier Identity, Source-to-Destination Relationships,

Energy Flow Boundaries, Physical Network Topology, Generation & Conversion Attribution, Transmission &

Distribution Pathways, Storage-Mediated Energy Attribution, Temporal Flow Integrity, Energy Mixing, Allocation

Methodologies, Measurement Evidence, Attribution Uncertainty, Physical Versus Contractual Attribution, Double-

Counting Prevention, Origin Claims, Consumption Attribution, Attribution Continuity & Evidence-Based Energy Flow

Determination

Standard ID: EGA-EFAS-09

Origin ID: OOF-EGA-EFAS

Version: 1.0

Status: Canonical Open

Effective Date: 27.10.2026

Authority: OOF® — OriginOpen® Foundation

Protection: (MIP) Methodological Intellectual Property

Compatibility: Methodology OS — Modular Compatibility

GIE-Compatible: Yes

AI-Readable: Yes

Canonical Language: UCL — Universal Canonical Language (English)

1. Canonical Definition

Energy Flow Attribution Standard (EFAS) is the ninth Parent Standard within EGA™ — Energy Governance

Architecture.

EFAS establishes the methodological governance requirements for attributing physical energy flows, quantities,

sources, pathways, storage relationships, conversion processes, and destinations across interconnected energy

systems.

It governs the conditions under which an energy quantity may be associated with an identifiable origin, physical

transfer relationship, intermediate process, allocation method, or consumption destination.

EFAS recognizes that physical energy flow attribution is not equivalent to contractual ownership, commercial

settlement, certificate allocation, or the existence of an energy purchase agreement.

An electricity consumer may purchase energy associated with a particular generator without receiving an individually

identifiable physical stream from that generator.

A storage system may receive energy from several sources before discharging energy into a shared network.

A conversion facility may transform one energy carrier into another while introducing losses and changing the physical

form of energy.

A distribution network may combine energy from multiple sources, making exact source-to-consumer attribution

physically indeterminate without additional assumptions or a defined allocation methodology.

A measurement system may accurately record energy entering and leaving a network while remaining unable to

establish the exact origin of every delivered energy unit.

EFAS therefore distinguishes:

Physical Flow Evidence

Physical Source Attribution

Methodological Allocation

Contractual Attribution

Certificate-Based Attribution

Unresolved Attribution

These categories must not be treated as interchangeable.

EFAS establishes the methodological conditions for recognizing, limiting, allocating, or rejecting energy attribution

claims according to physical evidence, topology, time, carrier characteristics, transformation history, uncertainty, and

the applicable attribution model.

Its principal governance output is the Energy Flow Attribution Governance Profile.

2. Architectural Position

EFAS operates across the physical energy lifecycle governed by EGA™.

Energy Source & Origin → Energy Generation → Energy Conversion → Energy Transmission & Distribution

↔ Energy Storage → Energy Delivery & Consumption

It receives relevant evidence from:

ESOS — Energy Source & Origin Standard

EGS — Energy Generation Standard

ECS — Energy Conversion Standard

ETDS — Energy Transmission & Distribution Standard

ESS — Energy Storage Standard

EDCS — Energy Delivery & Consumption Standard

ESBS — Energy System Balancing Standard

EMRS — Energy Measurement & Reconciliation Standard

EFAS establishes attribution relationships across these governed physical processes.

It does not replace their specialized technical governance.

3. Core Question

How can energy quantities be attributed to their physical sources, transfer pathways, conversion processes,

storage histories, and destinations without confusing actual physical flow evidence with model-based

allocation, commercial arrangements, certificates, or unsupported origin claims?

4. Foundational Principle

Energy flow attribution must be governed according to physically supported relationships, explicit attribution

boundaries, applicable operating intervals, energy transformations, measurement evidence, and documented

allocation methods—not merely contractual association, numerical matching, or declared origin.

Contractual Energy Association ≠ Verified Physical Energy Flow.

Energy Certificate ≠ Physical Pathway Evidence.

Measured Delivery ≠ Verified Source Attribution.

Allocated Energy ≠ Individually Traced Energy.

Energy Mixing ≠ Preservation of Individually Identifiable Source Units.

Numerical Allocation Balance ≠ Physical Causation Proof.

5. Governed Space

Physical Energy Flow Attribution, Energy Carrier Identity, Source-to-Destination Relationships, Energy Flow

Boundaries, Physical Network Topology, Generation & Conversion Attribution, Transmission & Distribution

Pathways, Storage-Mediated Energy Attribution, Temporal Flow Integrity, Energy Mixing, Allocation

Methodologies, Measurement Evidence, Attribution Uncertainty, Physical Versus Contractual Attribution,

Double-Counting Prevention, Origin Claims, Consumption Attribution, Attribution Continuity & Evidence-

Based Energy Flow Determination

The governed space begins with an identifiable physical energy quantity or flow relationship.

It extends across relevant generation, conversion, transmission, distribution, storage, and consumption processes.

It concludes with an evidence-supported attribution determination and explicit representation of unresolved attribution.

6. Governed Object

The primary Governed Object is:

An identifiable energy flow attribution relationship associated with a defined energy carrier, physical source,

attribution boundary, operating interval, transfer or transformation pathway, destination, attribution method,

supporting measurements, uncertainty, evidence provenance, and governance determination.

Relevant fields include:

Attribution Record ID

Energy Carrier ID

Source Reference

Destination Reference

Attribution Boundary ID

Physical Network Reference

Operating Interval

Attributed Energy Quantity

Attribution Method ID

Attribution Classification

Measurement Evidence References

Uncertainty Reference

Confidence Classification

Governance Determination

7. Scope

EFAS applies to:

Electricity

Thermal Energy

Steam

Natural Gas

Hydrogen

Liquid Energy Carriers

Mechanical Energy

Stored Energy

Converted Energy

Multi-Carrier Energy Systems

It governs attribution relationships involving identifiable physical energy transfers, transformations, storage states, and

consumption boundaries.

8. Physical Attribution Versus Contractual Attribution

Physical attribution concerns evidence-supported relationships between physical energy sources, transfers, and

destinations.

Contractual attribution concerns rights, obligations, or commercial associations established through agreements.

A contractual relationship may exist without demonstrating an individually traceable physical flow.

EFAS requires these relationships to remain separately classified.

9. Physical Attribution Versus Certificate Attribution

Energy certificates may represent specified energy attributes or accounting claims under an applicable scheme.

They do not automatically demonstrate the physical pathway taken by energy delivered to a particular consumer.

EFAS must preserve the distinction between:

Physical Flow Evidence

and:

Certificate-Based Attribute Allocation

The validity of a certificate under its own scheme does not independently establish physical source-to-destination

tracing.

10. Physical Flow Versus Allocation

Physical flow concerns energy transfer governed by the characteristics of the physical system.

Allocation assigns quantities or attributes according to a defined methodology.

An allocation may be methodologically valid without representing a uniquely identifiable physical pathway.

EFAS requires the allocation basis to remain explicit.

11. Attribution Boundary Identity

Every material attribution must reference a defined boundary.

Relevant fields include:

Attribution Boundary ID

Included Physical Assets

Included Transfer Interfaces

Included Sources

Included Destinations

Applicable Operating Interval

The attribution boundary must correspond to the intended attribution claim.

12. Source Identity

Every source-specific attribution must identify its source.

Relevant fields include:

Source ID

Energy Carrier

Generation or Supply Process

Physical Location or Defined Scope

Applicable Operating Interval

Supporting Evidence

Source identity alone does not establish delivery to a specific destination.

13. Destination Identity

Every destination-specific attribution must identify the destination.

Relevant fields include:

Destination ID

Physical Delivery Boundary

Energy Carrier

Applicable Operating Interval

Measurement References

The destination must remain distinguishable from a contractual customer or reporting entity.

14. Energy Carrier Identity

Every attribution must identify the relevant energy carrier.

Energy carriers must not be treated as physically interchangeable merely because their quantities can be expressed

in common energy units.

Conversion relationships require explicit representation.

15. Physical Quantity Identity

EFAS distinguishes:

Energy

Power

Mass Flow

Volumetric Flow

Stored-Energy State

Derived Energy Quantities

Attribution must use quantities appropriate to the physical relationship being assessed.

16. Attribution Interval

Every material attribution must identify the applicable time interval.

Relevant fields include:

Interval Start

Interval End

Time Standard

Measurement Resolution

Attribution Resolution

Time-dependent attribution must not rely on incompatible measurement intervals without an explicit transformation or

allocation method.

17. Physical Network Topology

Attribution may depend on the physical relationships between:

Generation Assets

Conversion Assets

Transmission Assets

Distribution Assets

Storage Assets

Delivery Interfaces

Consumption Assets

EFAS requires relevant topology evidence to remain identifiable.

18. Network Connectivity Versus Actual Flow

Physical connectivity establishes a possible transfer relationship.

It does not independently establish the magnitude or direction of actual energy flow.

EFAS distinguishes:

Connected Pathway

from:

Evidence-Supported Operating Flow

Attribution must not be inferred solely from network diagrams.

19. Physical Flow Direction

Energy flow direction must be defined relative to the applicable physical boundary.

Relevant classifications include:

Import

Export

Forward Transfer

Reverse Transfer

Charging

Discharging

Bidirectional systems require direction-specific attribution.

20. Physical Flow Pathway

An attribution pathway may involve:

Direct Transfer

Network-Mediated Transfer

Conversion-Mediated Transfer

Storage-Mediated Transfer

Multi-Stage Transfer

The pathway classification must reflect available physical evidence.

21. Direct Physical Attribution

Direct physical attribution may be supported when a defined energy transfer relationship connects an identifiable

source and destination under sufficiently constrained physical conditions.

Relevant evidence may include:

Dedicated Connection

Defined Transfer Boundary

Compatible Measurements

Applicable Operating Interval

Absence or Accounting of Material Alternative Inputs

Direct attribution must remain limited to the supported physical relationship.

22. Network-Mediated Attribution

Interconnected networks may combine energy from multiple sources.

Physical measurements may establish injections, withdrawals, and network conditions without uniquely identifying

which source supplied each withdrawn energy unit.

EFAS requires network-mediated attribution to distinguish direct evidence from allocation assumptions.

23. Energy Mixing

Energy from multiple sources may become physically or operationally combined.

Examples include:

Interconnected Electricity Networks

Mixed Gas Networks

Thermal Distribution Systems

Shared Storage Systems

Energy mixing may limit source-specific physical attribution.

The applicable limitation must remain explicit.

24. Source-Specific Attribution Limits

Source-specific attribution may be limited by:

Multiple Simultaneous Sources

Unobserved Network Transfers

Energy Mixing

Storage Intermediation

Insufficient Measurement Resolution

Uncertainty

EFAS must not claim source-specific certainty beyond the available evidence.

25. Generation Attribution

Generation attribution identifies energy associated with an identifiable generation process.

Relevant evidence may include:

Generation Asset Identity

Generation Output Measurement

Energy Carrier

Operating Interval

Physical Delivery Interface

Generation evidence establishes production at a defined boundary.

It does not automatically establish final consumption attribution.

26. Conversion Attribution

Energy conversion changes the physical form or carrier of energy.

EFAS must preserve:

Input Carrier

Input Quantity

Conversion Process

Output Carrier

Output Quantity

Conversion Loss or Other Accounting References

The output must not be represented as physically identical to the input quantity without accounting for the

transformation.

27. Conversion Attribution Boundaries

Conversion attribution requires explicit identification of:

Conversion Input Boundary

Conversion Output Boundary

Applicable Conversion Method

Relevant Operating Interval

Supporting Measurements

Source attribution across conversion must preserve the evidence and assumptions used.

28. Transmission Attribution

Transmission attribution concerns energy transfers across defined transmission interfaces.

Relevant evidence may include:

Network Topology

Flow Measurements

Operating Conditions

Transfer Boundaries

Applicable Intervals

A transmission pathway claim must remain consistent with the physical network state.

29. Distribution Attribution

Distribution attribution concerns energy delivery relationships across distribution networks.

Multiple generation and supply sources may contribute to a shared distribution system.

EFAS must distinguish measured delivery from source-specific allocation.

30. Storage-Mediated Attribution

Storage systems may receive energy from multiple sources and release energy during later intervals.

EFAS requires explicit representation of:

Charging Sources

Charging Intervals

Stored-Energy State

Discharging Intervals

Storage Losses

Attribution Method

Stored energy attribution must not assume that individual energy units remain physically identifiable after mixing.

31. Storage Attribution Models

Possible methodological approaches include:

Measured Dedicated-Source Attribution

Proportional Allocation

Chronological Allocation

Inventory-Based Allocation

Model-Based Allocation

The selected approach must be explicit.

A methodological allocation must not be represented as direct physical tracing unless the evidence supports that

classification.

32. Storage Loss Allocation

Storage processes may involve energy losses.

EFAS requires loss treatment to remain identifiable when attributing discharged energy to charging sources.

Attributed discharged energy must not exceed the physically supported available output.

Loss allocation must use an explicit method.

33. Multi-Source Energy Attribution

A destination may receive energy associated with several sources.

EFAS requires source contributions to be represented according to a defined attribution methodology.

Relevant factors include:

Source Availability

Physical Network Relationships

Operating Intervals

Measured Quantities

Allocation Assumptions

Unresolved contributions must remain explicit.

34. Multi-Destination Attribution

A source may supply energy into a system serving multiple destinations.

EFAS requires destination allocations to remain consistent with the supported source quantity and relevant system

accounting relationships.

The same energy quantity must not be independently attributed in full to multiple destinations without a valid

accounting basis.

35. Attribution Method Identity

Every material attribution must reference an identifiable method.

Relevant fields include:

Attribution Method ID

Method Version

Physical Scope

Input Data

Allocation Rules

Uncertainty Treatment

Limitations

The method must remain reproducible.

36. Attribution Method Classification

EFAS distinguishes:

Direct Physical Attribution

Measurement-Supported Network Attribution

Model-Based Physical Attribution

Methodological Allocation

Contractual Association

Certificate-Based Attribute Allocation

Unresolved Attribution

The classification must match the actual evidence and method.

37. Proportional Allocation

Proportional allocation assigns quantities according to defined contribution shares.

The method must identify:

Allocation Population

Input Quantities

Allocation Fractions

Applicable Interval

Loss Treatment

Uncertainty

Proportional allocation must not be described as direct physical tracing.

38. Chronological Allocation

Chronological allocation assigns quantities according to a defined time-based rule.

The rule may depend on:

Charging Sequence

Supply Sequence

Withdrawal Sequence

Inventory State

Chronological allocation is a methodological convention unless physical evidence independently supports the claimed

transfer sequence.

39. Model-Based Attribution

Model-based attribution may use physical network models, operational data, or other analytical methods.

EFAS requires:

Model Identity

Input Evidence

Physical Assumptions

Model Limitations

Validation References

Uncertainty

Model output must not be presented as directly observed physical fact.

40. Attribution Assumptions

Material assumptions may concern:

Unmeasured Flows

Network Configuration

Energy Mixing

Storage Inventory

Loss Distribution

Temporal Resolution

Source Contributions

Assumptions must remain explicit and evidence-bounded.

41. Attribution Measurement Evidence

Attribution may depend on measurements of:

Generation Output

Network Injection

Network Withdrawal

Storage Charging

Storage Discharging

Conversion Inputs and Outputs

Final Delivery

Measurement evidence must remain linked to EMRS.

42. Measurement Validity Dependency

An attribution conclusion may depend on the validity of its supporting measurements.

EFAS must preserve references to:

Measurement Identity

Measurement Integrity

Data Quality

Reconciliation Status

Measurement Uncertainty

An attribution must not conceal material limitations in its measurement evidence.

43. Reconciliation Dependency

Physical energy attribution must remain consistent with applicable energy reconciliation relationships.

An allocation may be numerically complete while using incorrect physical boundaries or double-counted quantities.

EFAS uses EMRS reconciliation evidence without replacing EMRS.

44. Attribution Quantity Conservation

Attributed quantities must remain consistent with the physically supported energy available within the defined

accounting scope.

Relevant relationships include:

Source Energy Availability

Conversion Outputs

Storage Changes

Physical Losses

Destination Deliveries

Allocation rules must not create additional physical energy.

45. Double-Counting Prevention

EFAS requires prevention of material double attribution.

Double counting may arise when:

One Source Quantity Is Allocated Repeatedly

Storage Energy Is Attributed at Charging and Discharging Without Proper Accounting

One Certificate Is Used for Multiple Claims

Internal Transfers Are Treated as Additional Supply

Overlapping Reporting Boundaries Are Combined

The applicable duplication risk must remain explicit.

46. Physical Versus Attribute Double Counting

Physical quantity double counting and energy attribute double claiming are distinct.

EFAS governs the physical attribution and allocation consistency of energy quantities.

Certificate issuance, transfer, cancellation, and attribute exclusivity may depend on external scheme rules.

EFAS must preserve the distinction between these governance domains.

47. Attribution Completeness

An attribution assessment must identify the extent to which the relevant energy quantity has been attributed.

Possible states include:

Fully Attributed Under Defined Method

Partially Attributed

Unattributed

Conflicted

Unknown

Completeness does not independently establish physical correctness.

48. Unattributed Energy

Energy may remain unattributed because of:

Insufficient Source Evidence

Unknown Network Contributions

Unmeasured Transfers

Storage Mixing

Incompatible Operating Intervals

Unresolved Measurement Discrepancies

Unattributed quantities must not be silently assigned to a preferred source.

49. Attribution Uncertainty

Attribution uncertainty may arise from:

Measurement Uncertainty

Incomplete Network Observability

Model Assumptions

Energy Mixing

Storage History

Temporal Aggregation

Unresolved Loss Allocation

Material uncertainty must remain explicit.

50. Attribution Confidence Versus Physical Uncertainty

EFAS distinguishes:

Physical Measurement Uncertainty

from:

Attribution Method Uncertainty

and:

Governance Confidence

A mathematically precise allocation may still rely on assumptions that prevent a confirmed physical attribution.

These limitations must remain separately represented.

51. Attribution Evidence Provenance

Every material attribution must preserve:

Evidence ID

Evidence Source

Physical Valid Time

Evidence Availability Time

Attribution Method Version

Measurement References

Integrity References

Evidence provenance must remain traceable.

52. Evidence Sufficiency

EFAS evaluates whether evidence supports the claimed attribution.

Relevant questions include:

Is the Source Identified?

Is the Destination Identified?

Is the Physical Boundary Defined?

Is the Applicable Interval Known?

Is the Pathway Physically Plausible?

Are Relevant Measurements Available?

Is the Attribution Method Explicit?

Are Material Assumptions Identified?

Is Double Counting Prevented?

Are Unresolved Contributions Preserved?

Insufficient evidence must remain explicit.

53. Evidence Conflict

Conflicts may arise from:

Contradictory Source Records

Incompatible Network Topology

Conflicting Measurement Data

Different Storage Allocation Methods

Overlapping Attribution Claims

Inconsistent Accounting Intervals

Material conflicts must remain preserved until reconciled.

54. Evidence Reconciliation

Evidence reconciliation may involve:

Source Record Comparison

Network Topology Review

Measurement Reconciliation

Storage History Reconstruction

Allocation Method Review

Duplicate Claim Investigation

Reconciliation must preserve the original evidence and justification.

55. Attribution Confidence Classification

EFAS applies the EGA™ confidence framework.

Confirmed — Sufficient applicable evidence supports the specific attribution conclusion.

Reconciled — The conclusion is supported through justified evidence reconciliation.

Estimated — The attribution relies materially on explicit allocation assumptions, estimation, or modeling.

Conflicted — Material evidence supports incompatible attribution conclusions.

Unknown — Available evidence is insufficient.

A confirmed methodological allocation must not be mislabeled as confirmed direct physical tracing.

Confidence and attribution classification must remain separate.

56. Governance Determination

EFAS supports:

PASS — Applicable attribution governance requirements are satisfied.

CONDITIONAL — Attribution is supported subject to explicit limitations.

FAIL — One or more mandatory attribution requirements are not satisfied.

INDETERMINATE — Evidence is insufficient or materially conflicting.

NOT APPLICABLE — The assessed requirement does not apply.

A PASS establishes conformity with the defined attribution methodology and evidence requirements.

It does not automatically establish direct physical source-to-destination tracing.

57. Attribution Governance Rules

A governed energy attribution must remain:

Source-Identifiable

Destination-Identifiable

Boundary-Defined

Carrier-Consistent

Temporally Explicit

Method-Classified

Measurement-Traceable

Uncertainty-Aware

Double-Counting-Controlled

Evidence-Supported

Historically Reconstructable

These conditions establish the methodological basis for defensible physical energy attribution.

58. Attribution Relationship Model

EFAS establishes:

Energy Source → Physical Energy Quantity

Energy Quantity → Attribution Boundary

Attribution Boundary → Transfer Relationship

Transfer Relationship → Conversion or Storage Process

Transfer Relationship → Destination

Attribution Record → Measurement Evidence

Attribution Record → Attribution Method

Attribution Record → Uncertainty

Attribution Record → Evidence

Attribution Record → Governance Determination

These relationships must remain machine-readable where implemented digitally.

59. Physical Attribution Versus Energy Claims

An attribution conclusion may support a downstream energy claim.

However, the claim must remain consistent with the actual attribution classification.

Examples include:

Directly Measured Physical Delivery

Methodologically Allocated Source Contribution

Contractually Associated Energy

Certificate-Attributed Energy Attributes

These statements describe different evidentiary relationships.

EFAS does not permit their substitution without explicit justification.

60. Attribution Continuity

Attribution relationships may change through:

New Generation Sources

Network Reconfiguration

Storage Integration

Conversion Process Changes

Measurement Corrections

Attribution Method Revisions

New Evidence

Changes must preserve the original attribution records and applicable historical methods.

61. Historical Attribution Integrity

Historical attribution assessments must preserve:

Applicable Physical System State

Applicable Network Topology

Applicable Measurement Versions

Applicable Attribution Method

Evidence Available at Assessment Cutoff

Original Governance Determination

Later evidence may support a separately identified retrospective reassessment.

It must not rewrite the original historical assessment.

62. Attribution Auditability

An attribution assessment must preserve:

Source Identity

Destination Identity

Attribution Boundary

Operating Interval

Energy Carrier

Attributed Quantity

EFAIM — Energy Flow Attribution Identification Module

↓

FPAM — Flow Pathway Assessment Module

↓

EAAM — Energy Attribution & Allocation Module

↓

AVAM — Attribution Verification & Assurance Module

↓

ACCM — Attribution Change & Continuity Module

The flow establishes:

Identity → Physical Pathway → Attribution Method → Verification → Historical Continuity

Each module has a distinct governance responsibility.

65. Core Module Boundary Integrity

EFAIM identifies attribution objects and boundaries.

FPAM evaluates physical pathways and flow evidence.

EAAM governs attribution and allocation methodologies.

AVAM verifies attribution consistency and evidentiary support.

ACCM preserves changes and historical continuity.

A module must not claim to have established an outcome belonging to another module without the relevant evidence

and assessment.

66. Cross-Architecture Governance

EFAS interacts with:

GOA™ — Governance Origin Architecture

For origin and governance-object relationships where applicable.

ORA™ — Origin Responsibility Architecture

For responsibility relationships associated with attributable governance objects.

AGA™ — Accountability Governance Architecture

For accountable determinations and responsibility evidence.

CLIA® — Compliance & Liability Intelligence Architecture

For applicable compliance and liability analysis without replacing legal determination.

VALIDOS™

For methodological validation compatibility where applicable.

GIE™ — Governance Intelligence Engine

For machine-readable assessment and governance execution compatibility.

These interactions do not expand EFAS beyond its physical energy attribution scope.

67. Fifty Governance Requirements

A conforming EFAS implementation must satisfy the following requirements.

Attribution Identity & Boundaries

1. Establish an identifiable energy attribution record.

2. Identify the relevant energy source.

3. Identify the relevant destination.

4. Define the attribution boundary.

5. Identify the energy carrier.

6. Identify the physical quantity.

7. Preserve the applicable operating interval.

8. Identify material transfer interfaces.

9. Preserve relevant physical asset relationships.

10. Distinguish physical source identity from contractual association.

Physical Flow & Pathway Evidence

11. Identify the relevant physical network topology.

12. Distinguish connectivity from observed physical flow.

13. Identify material energy flow directions.

14. Preserve transfer pathway references.

15. Identify conversion-mediated relationships.

16. Identify storage-mediated relationships.

17. Evaluate material energy mixing limitations.

18. Preserve material network operating conditions.

19. Identify relevant measurement dependencies.

20. Prevent unsupported direct physical tracing claims.

Attribution & Allocation Methods

21. Identify the applicable attribution method.

22. Preserve attribution method versions.

23. Classify direct physical attribution separately from allocation.

24. Preserve proportional allocation rules where used.

25. Preserve chronological allocation rules where used.

26. Identify model-based attribution assumptions.

27. Preserve storage attribution methods.

28. Account for material conversion and storage losses.

29. Preserve attributed and unattributed quantities.

30. Prevent attribution beyond physically supported available quantities.

Verification, Uncertainty & Double Counting

31. Preserve measurement evidence references.

32. Evaluate measurement validity dependencies.

33. Preserve reconciliation evidence references.

34. Evaluate attribution quantity conservation.

35. Identify material double-counting risks.

36. Distinguish physical double counting from attribute double claiming.

37. Evaluate material attribution uncertainty.

38. Preserve allocation assumptions and limitations.

39. Evaluate evidence sufficiency.

40. Preserve material evidence conflicts.

Governance, Continuity & Interoperability

41. Reconcile conflicting evidence where possible.

42. Apply attribution confidence classifications.

43. Apply evidence-supported governance determinations.

44. Preserve original attribution records.

45. Preserve material source and destination changes.

46. Preserve attribution method revisions.

47. Preserve physical valid time and evidence availability time.

48. Distinguish historical as-of assessments from retrospective reassessments.

49. Maintain machine-readable cross-module attribution relationships.

50. Produce an Energy Flow Attribution Governance Profile.

68. Governance Logic

Energy Source → Physical Quantity → Attribution Boundary → Physical Pathway → Destination → Attribution

Method → Evidence Assessment → Governance Determination

For direct physical attribution:

Identified Source → Supported Physical Transfer → Identified Destination

For network-mediated attribution:

Source Injections → Network Conditions → Allocation Method → Destination Allocation

For storage-mediated attribution:

Charging Sources → Storage State → Loss Treatment → Discharge Allocation

For governance:

Attribution Evidence → Method Verification → Double-Counting Assessment → Uncertainty → Confidence →

Determination

The governance logic must preserve the distinction between physical observation and methodological allocation.

69. Attribution Quantity Accounting

For a defined attribution boundary, the total attributed quantity must not exceed the physically supported quantity

available for attribution under the applicable accounting method.

A simplified relationship is:

Available Energy = Attributed Energy + Unattributed Energy

This relationship applies only after the relevant physical accounting, losses, storage changes, and boundary

conditions have been addressed.

It does not independently establish a physical source-to-destination pathway.

70. Attribution Non-Conformity Classification

EFAS recognizes:

Source Identity Non-Conformity

Destination Identity Non-Conformity

Attribution Boundary Non-Conformity

Energy Carrier Consistency Non-Conformity

Operating Interval Non-Conformity

Physical Pathway Evidence Non-Conformity

Network Topology Non-Conformity

Storage Attribution Non-Conformity

Conversion Attribution Non-Conformity

Attribution Method Non-Conformity

Allocation Assumption Non-Conformity

Measurement Evidence Non-Conformity

Reconciliation Dependency Non-Conformity

Quantity Conservation Non-Conformity

Double-Counting Non-Conformity

Attribution Uncertainty Non-Conformity

Physical Versus Contractual Attribution Non-Conformity

Attribution Evidence Sufficiency Non-Conformity

Historical Attribution Continuity Non-Conformity

Governance Determination Non-Conformity

A methodological attribution non-conformity does not automatically establish energy theft, contractual breach,

regulatory non-compliance, or legal liability.

71. Verification Framework

EFAS supports explicit verification tests.

Source Identity Test: Is the claimed source identifiable?

Destination Test: Is the destination physically defined?

Boundary Test: Is the attribution boundary explicit?

Carrier Test: Are energy carriers correctly classified?

Temporal Test: Are operating intervals compatible?

Pathway Test: Is the claimed physical pathway supported?

Mixing Test: Are material mixing limitations addressed?

Storage Test: Is storage-mediated attribution methodologically supported?

Conversion Test: Are carrier transformations represented?

Allocation Test: Is the attribution method identifiable and reproducible?

Quantity Test: Are attributed quantities physically supportable?

Double-Counting Test: Are overlapping allocations controlled?

Evidence Test: Is the attribution supported by sufficient evidence?

Historical Test: Are original records and applicable historical methods preserved?

72. Governance Outputs

The principal output is:

Energy Flow Attribution Governance Profile

Supporting outputs may include:

Energy Source Attribution Register

Destination Attribution Register

Attribution Boundary Profile

Energy Carrier Attribution Record

Physical Quantity Attribution Record

Attribution Interval Record

Physical Network Topology Profile

Physical Flow Pathway Record

Network Connectivity Assessment

Flow Direction Record

Generation Attribution Profile

Conversion Attribution Profile

Transmission Attribution Record

Distribution Attribution Record

Storage Attribution Profile

Storage Loss Allocation Record

Multi-Source Attribution Record

Multi-Destination Allocation Record

Attribution Method Register

Proportional Allocation Profile

Chronological Allocation Profile

Model-Based Attribution Record

Attribution Assumption Register

Measurement Evidence Dependency Record

Reconciliation Dependency Record

Quantity Conservation Assessment

Double-Counting Assessment

Physical Versus Contractual Attribution Record

Certificate Attribution Distinction Record

Unattributed Energy Register

Attribution Uncertainty Assessment

Evidence Provenance Record

Evidence Sufficiency Assessment

Evidence Conflict Record

Evidence Reconciliation Record

Confidence Classification Record

Governance Determination Record

Attribution Change & Continuity Profile

Outputs must preserve the physical and methodological basis for each material attribution conclusion.

73. Relationship to Energy Measurement & Reconciliation

EMRS — Energy Measurement & Reconciliation Standard governs the measurement and reconciliation of

physical energy quantities.

EFAS — Energy Flow Attribution Standard governs the attribution of those quantities to sources, pathways,

processes, and destinations.

A reconciled energy balance does not automatically establish source-specific attribution.

An attributed energy quantity does not independently establish measurement validity.

The standards operate as complementary governance layers.

74. Relationship to Energy Efficiency & Loss

EELS — Energy Efficiency & Loss Standard governs energy efficiency and physical loss assessment.

EFAS may use evidence of conversion, storage, transmission, or distribution losses when determining the quantity

available for attribution.

EFAS does not independently establish detailed loss mechanisms or efficiency conformity.

The distinction must remain explicit.

75. Relationship to Energy Claims & Disclosure

ECDS — Energy Claims & Disclosure Standard governs the methodological integrity of energy-related claims and

disclosures.

EFAS provides evidence about what can be physically attributed, methodologically allocated, contractually associated,

or left unresolved.

ECDS evaluates whether public or organizational claims accurately represent that evidentiary status.

A certificate-based or contractual energy claim must not be presented as verified physical tracing without appropriate

evidence.

76. Temporal Integrity

EFAS requires explicit preservation of:

Physical Valid Time

When the physical flow relationship or system state applied.

Evidence Availability Time

When supporting evidence became available.

Assessment Issuance Time

When the attribution determination was issued.

Historical as-of assessments must exclude evidence unavailable by the defined cutoff.

Later evidence may support a separately identified retrospective reassessment.

Original attribution records and determinations must remain preserved.

77. GIE™ Compatibility

EFAS is designed for methodological compatibility with GIE™ — Governance Intelligence Engine.

Potential machine-readable objects include:

Energy Attribution Record

Energy Source

Energy Destination

Attribution Boundary

Physical Flow Pathway

Network Topology

Conversion Relationship

Storage Attribution Relationship

Attribution Method

Allocation Quantity

Unattributed Quantity

Measurement Evidence

Reconciliation Evidence

Uncertainty Assessment

Evidence Reference

Confidence Classification

Governance Determination

A compatible implementation may support automated checks for:

Unsupported Physical Source Claims

Missing Attribution Boundaries

Incompatible Operating Intervals

Unverified Physical Pathways

Unidentified Energy Mixing

Unsupported Storage Attribution

Double-Counted Source Quantities

Contractual Attribution Presented as Physical Tracing

Unexplained Attribution Residuals

Historical Attribution Using Future Evidence

GIE-Compatible: Yes establishes methodological and architectural compatibility.

It does not establish completed production integration, validated software behavior, or external certification.

78. AI-Readable Governance

EFAS supports machine-readable attribution records containing:

Object Identity

Physical Source

Physical Destination

Energy Carrier

Attribution Boundary

Operating Interval

Attribution Method

Attributed Quantity

Unattributed Quantity

Evidence References

Uncertainty

Confidence

Determination

Historical Version

Machine-readable representation must preserve distinctions between physical evidence, modeling, allocation,

contractual association, and unresolved attribution.

An AI-generated attribution conclusion must not be treated as verified merely because it is computationally consistent.

79. Methodological Limitations

EFAS does not guarantee that individual energy units can be physically traced through interconnected or mixed

energy systems.

It does not establish that contractual energy purchases correspond to individually identifiable physical delivery.

It does not independently certify energy origin, renewable attributes, environmental performance, or legal compliance.

It does not replace physical network analysis, metrological verification, energy reconciliation, or applicable certificate-

scheme requirements.

Its determinations remain bounded by the physical evidence, attribution methodology, uncertainty, and scope of

assessment.

80. Canonical Boundary

Energy Flow Attribution Standard (EFAS) governs the evidence-supported attribution of physical energy

quantities to sources, transfer pathways, conversion processes, storage relationships, and destinations

across the energy lifecycle.

It establishes methodological requirements for:

Source Identity

Destination Identity

Physical Attribution Boundaries

Energy Carrier Consistency

Physical Network Relationships

Transfer Pathway Evidence

Conversion Attribution

Storage-Mediated Attribution

Allocation Methodologies

Measurement Dependencies

Quantity Conservation

Double-Counting Prevention

Attribution Uncertainty

Evidence Provenance

Historical Attribution Continuity

Governance Determination

EFAS does not independently establish technical measurement validity, physical loss causation, commercial

settlement conformity, certificate validity, or legal responsibility.

Those responsibilities remain within their applicable specialized governance domains.

Its principal governance output is:

Energy Flow Attribution Governance Profile

81. Canonical Closing Statement

The origin of an energy quantity cannot be established merely because a source, contract, certificate, or

numerical allocation is associated with it.

Physical energy systems operate through interconnected pathways, transformations, storage processes, and shared

networks.

Energy may be generated at one location, converted into another form, mixed with energy from other sources, stored,

transferred, and ultimately consumed under conditions that prevent uniquely identifying its original source.

A numerical allocation may be valid under a defined methodology without representing a directly observed physical

pathway.

A contractual association may be valid without establishing physical delivery from the contracted source.

And a reconciled energy balance may confirm accounting consistency without proving which source supplied a

particular destination.

EFAS establishes the methodological structure required to govern these distinctions.

It connects energy sources, physical boundaries, transfer pathways, storage histories, conversion relationships,

attribution methods, measurement evidence, uncertainty, and governance determinations.

It provides the attribution foundation required for defensible energy flow analysis and downstream energy claims.

EFAS ensures that energy origin and destination attribution remain physically bounded, methodologically

explicit, evidence-supported, uncertainty-aware, and independently reconstructable rather than accepted

solely because energy quantities have been contractually associated, numerically allocated, or declared to

originate from a particular source.

Nahlad

Energy Flow Attribution Standard (EFAS)

Architecture: EGA™ — Energy Governance Architecture

Category: Physical Energy Lifecycle Governance

Subcategory: Physical Energy Flow Attribution, Origin-to-Destination Traceability & Allocation Governance

Canonical Definition:

The Energy Flow Attribution Standard (EFAS) governs the attribution of physical energy quantities to identifiable

sources, transfer pathways, conversion processes, storage relationships, and destinations across the energy lifecycle.

It establishes the methodological conditions under which energy flows may be physically traced, modelled, allocated,

or attributed using defined boundaries, operating intervals, measurement evidence, uncertainty, and documented

attribution methods.

EFAS distinguishes verified physical energy flows from methodological allocations, contractual associations, and

certificate-based claims, while preventing unsupported source attribution and double counting.

Governed Space: Physical Energy Flow Attribution, Source-to-Destination Traceability & Allocation Governance

Foundational Principle:

Attributed Energy Origin ≠ Verified Physical Energy Flow.

→ View Standard

About standard

About Energy Flow Attribution Standard (EFAS)

Architecture: EGA™ — Energy Governance Architecture

Parent Standard: Energy Flow Attribution Standard (EFAS)

Category: Physical Energy Lifecycle Governance

Subcategory: Physical Energy Flow Attribution, Origin-to-Destination Traceability & Allocation Governance

Type: About Standard

Standard ID: EGA-EFAS-09

Origin ID: OOF-EGA-EFAS

Version: 1.0

Status: Canonical Open

Effective Date: 27.10.2026

Authority: OOF® — OriginOpen® Foundation

Protection: (MIP) Methodological Intellectual Property

Compatibility: Methodology OS — Modular Compatibility

GIE-Compatible: Yes

AI-Readable: Yes

Canonical Language: UCL — Universal Canonical Language (English)

1. Purpose of the Standard

The Energy Flow Attribution Standard (EFAS) establishes a methodological framework for determining how

physical energy quantities may be associated with identifiable sources, transfer pathways, conversion processes,

storage systems, and destinations.

Its purpose is to prevent unsupported attribution conclusions arising from incomplete physical evidence, ambiguous

energy pathways, numerical allocations, or contractual relationships.

EFAS governs not only whether an energy quantity has been attributed, but also what that attribution actually

demonstrates.

A measured energy delivery, a model-based source allocation, and a contractual energy purchase represent different

evidentiary relationships.

EFAS requires those relationships to remain distinguishable.

2. Why EFAS Is Necessary

Modern energy systems increasingly combine multiple generation sources, interconnected networks, storage facilities,

conversion technologies, and distributed consumption.

This complexity creates a fundamental attribution problem.

A consumer may receive a measured quantity of electricity without being able to identify the exact physical source of

every delivered unit.

A battery may store energy received from several generators.

A hydrogen production facility may consume electricity associated with multiple sources.

An energy supplier may allocate renewable attributes through certificates without establishing a dedicated physical

delivery pathway.

These situations require a methodology that separates physical flow evidence from attribution conventions.

EFAS provides that distinction.

3. Core Governance Problem

The central problem addressed by EFAS is the possibility of presenting an energy attribution relationship as physically

established when the available evidence supports only a contractual association, a model, or an allocation.

The existence of a numerical attribution does not independently demonstrate the physical origin of energy delivered to

a destination.

Similarly, the existence of a physically connected pathway does not prove the actual flow magnitude or source

contribution.

EFAS requires every material attribution to identify its evidentiary basis.

4. Core Question

How can energy quantities be attributed to their physical sources, transfer pathways, conversion processes,

storage histories, and destinations without confusing actual physical flow evidence with model-based

allocation, commercial arrangements, certificates, or unsupported origin claims?

5. Foundational Principle

Energy flow attribution must be governed according to physically supported relationships, explicit attribution

boundaries, applicable operating intervals, energy transformations, measurement evidence, and documented

allocation methods—not merely contractual association, numerical matching, or declared origin.

Contractual Energy Association ≠ Verified Physical Energy Flow.

Allocated Energy ≠ Individually Traced Energy.

Energy Certificate ≠ Physical Pathway Evidence.

6. What EFAS Governs

EFAS governs the methodological integrity of energy attribution relationships involving:

Identifiable energy sources and destinations.

Physical attribution boundaries.

Energy carriers and quantities.

Network connectivity and transfer pathways.

Generation and conversion processes.

Transmission and distribution relationships.

Storage-mediated energy attribution.

Energy mixing.

Allocation methods.

Measurement and reconciliation evidence.

Double-counting prevention.

Attribution uncertainty.

Historical attribution continuity.

The standard applies across physical energy systems while preserving the specific characteristics of each energy

carrier.

7. Physical Flow Attribution

Physical flow attribution concerns the relationship between an identifiable energy source, a physical transfer process,

and a destination.

The strength of an attribution conclusion depends on the available evidence.

A dedicated physical connection may support a stronger source-to-destination attribution than a shared network

containing numerous sources and withdrawals.

However, connectivity alone does not establish actual flow.

EFAS requires the physical pathway, operating interval, relevant measurements, and material alternative inputs to be

evaluated.

8. Attribution in Interconnected Networks

Interconnected energy networks create attribution limitations.

In an electricity network, multiple generators inject energy while consumers withdraw energy from the shared system.

The network's physical behavior is governed by electrical conditions rather than contractual source-to-customer

assignments.

A consumer may therefore have a valid commercial relationship with a particular generator without possessing

evidence of a uniquely traceable physical energy stream from that generator.

EFAS permits defined allocation methodologies while requiring their limitations to remain explicit.

9. Energy Mixing and Source Identity

Energy mixing may occur in electricity networks, gas infrastructure, thermal distribution systems, and shared storage

facilities.

Once energy from several sources enters a common system, source-specific physical attribution may become limited.

EFAS distinguishes identifiable source contributions from individually traceable physical units.

It does not assume that a source identity remains physically recoverable after mixing.

Where direct attribution is unavailable, an explicit allocation method may be used without representing the result as

direct physical tracing.

10. Storage-Mediated Attribution

Energy storage introduces an additional attribution challenge.

A storage system may receive energy from different sources during different intervals and discharge energy later.

Attributing discharged energy to particular charging sources may require a documented allocation model.

Relevant considerations include:

Charging Sources

Charging Intervals

Stored-Energy State

Discharging Intervals

Storage Losses

Allocation Method

EFAS requires these relationships to remain traceable.

It does not treat a selected storage allocation convention as proof that individual energy units retained a physically

identifiable source identity.

11. Energy Conversion Attribution

Energy conversion changes the physical form or carrier of energy.

Examples include:

Electricity → Heat

Natural Gas → Electricity

Electricity → Hydrogen

EFAS requires source attribution across conversion to preserve the relevant input-output relationship.

Conversion losses, measurement boundaries, and applicable operating intervals must be considered.

The output of a conversion process must not be treated as physically identical to the input without accounting for the

transformation.

12. Attribution Methodologies

EFAS recognizes several attribution approaches.

Direct Physical Attribution is supported by sufficiently constrained physical transfer evidence.

Measurement-Supported Network Attribution uses relevant network and measurement evidence to establish

supported relationships.

Model-Based Attribution uses explicit models and assumptions.

Methodological Allocation assigns energy quantities according to defined rules.

Contractual Association identifies commercial relationships without independently establishing physical delivery.

Certificate-Based Attribute Allocation identifies claims governed by applicable certificate arrangements.

These classifications must remain separate.

13. Measurement and Reconciliation Dependencies

EFAS depends on reliable measurement and physical accounting evidence.

EMRS — Energy Measurement & Reconciliation Standard governs measurement identity, instrument integrity,

data acquisition, and reconciliation.

EFAS uses that evidence to evaluate attribution.

A valid energy measurement does not automatically establish source identity.

A reconciled network energy balance does not automatically demonstrate which generator supplied a particular

consumer.

The standards therefore address different governance questions.

14. Attribution Quantity Conservation

Energy attribution must remain consistent with physically supported available quantities.

A source quantity must not be allocated repeatedly in a manner that creates additional physical energy.

Storage charging and discharging must be represented without unsupported duplication.

Internal transfers must not be counted as new external supply.

EFAS requires attribution totals and unresolved quantities to remain explicit within the defined accounting scope.

15. Double-Counting Prevention

Double counting may arise when one energy quantity is attributed to multiple destinations or counted repeatedly

across interconnected processes.

It may also arise when a storage system's charging energy and subsequent discharge are treated as separate source

production.

EFAS requires the attribution method to identify and control such risks.

Physical quantity double counting must remain distinguishable from duplicate claims to contractual or certificate-

based energy attributes.

16. Attribution Uncertainty

Attribution uncertainty may result from incomplete measurements, shared network pathways, energy mixing, storage

histories, model assumptions, or unresolved physical accounting differences.

EFAS requires uncertainty to be represented according to its source.

A mathematically precise allocation does not necessarily establish a physically certain source relationship.

The standard therefore distinguishes measurement uncertainty, attribution method uncertainty, and governance

confidence.

17. Evidence and Governance Determination

EFAS evaluates whether the evidence supports the intended attribution conclusion.

Relevant evidence may include:

Source Records

Generation Measurements

Network Topology

Flow Measurements

Storage Records

Conversion Records

Reconciliation Assessments

Attribution Methods

Historical Configuration Records

The applicable governance determination may be:

PASS

CONDITIONAL

FAIL

INDETERMINATE

NOT APPLICABLE

A PASS establishes conformity with the defined attribution requirements, not necessarily proof of direct physical

tracing.

18. Practical Use Case 1 — Renewable Electricity Purchase Without

Physical Source Tracing

Situation

An industrial consumer purchases:

100 MWh of electricity

The purchase agreement associates the quantity with a renewable generation facility.

The consumer receives electricity through an interconnected network containing multiple generators and consumers.

The facility's electricity meter confirms:

100 MWh delivered

The consumer then states:

“All electricity physically delivered to our facility came directly from the contracted renewable generator.”

EFAS Assessment

EFAS identifies:

Contractual Association: Documented

Delivered Electricity Quantity: Measured

Dedicated Physical Pathway: Not Established

Source-Specific Physical Delivery: Not Verified

The contractual arrangement may support a commercial or attribute-based claim under its applicable rules.

However, it does not independently establish that every delivered energy unit followed a uniquely identifiable physical

pathway from the contracted generator.

Governance Determination

FAIL — The Physical Source Attribution Claim Exceeds the Available Evidence.

Methodological Lesson

A valid renewable electricity purchase does not automatically establish direct physical delivery from the

contracted generator.

19. Practical Use Case 2 — Mixed-Source Battery Storage Attribution

Situation

A battery storage system receives:

40 MWh from an identifiable solar generation source

60 MWh from a shared electricity network

The total charging input is:

100 MWh

After accounting for the storage process, the system delivers:

90 MWh

The operator attributes all 90 MWh of discharged energy to the solar source.

No source-specific physical segregation or justified allocation method is documented.

EFAS Assessment

EFAS identifies:

Solar Charging Contribution: 40 MWh

Shared Network Charging Contribution: 60 MWh

Total Charging Energy: 100 MWh

Discharged Energy: 90 MWh

Source-Specific Storage Attribution Method: Missing

The operator cannot justify attributing the entire discharged quantity to the solar source solely because solar energy

was one charging input.

Under an explicitly adopted proportional allocation with uniformly allocated losses, the illustrative result would be:

Solar-Allocated Discharge: 36 MWh

Network-Allocated Discharge: 54 MWh

These quantities represent a methodological allocation, not proof that individual discharged energy units retained

identifiable source origins.

Governance Determination

FAIL — The Claimed Solar Attribution Is Unsupported by the Charging Evidence and an Explicit Allocation

Method.

Methodological Lesson

Energy stored from multiple sources cannot be attributed entirely to one source without a physically

supported relationship or justified allocation methodology.

20. Five Core Modules

EFAS is structured through five Core Modules.

EFAIM — Energy Flow Attribution Identification Module

Module ID: EGA-EFAS-EFAIM-01

Establishes source, destination, physical boundary, energy carrier, transfer interface, and attribution object identities.

Output: Energy Flow Attribution Identity & Boundary Profile

FPAM — Flow Pathway Assessment Module

Module ID: EGA-EFAS-FPAM-02

Evaluates physical pathways, network topology, flow direction, conversion relationships, storage intermediation, and

energy mixing.

Output: Physical Flow Pathway & Evidence Profile

EAAM — Energy Attribution & Allocation Module

Module ID: EGA-EFAS-EAAM-03

Governs direct attribution, model-based attribution, allocation methodologies, storage attribution, and unresolved

quantities.

Output: Energy Attribution & Allocation Profile

AVAM — Attribution Verification & Assurance Module

Module ID: EGA-EFAS-AVAM-04

Evaluates evidence sufficiency, quantity conservation, measurement dependencies, uncertainty, double counting, and

attribution conformity.

Output: Attribution Verification & Assurance Profile

ACCM — Attribution Change & Continuity Module

Module ID: EGA-EFAS-ACCM-05

Preserves attribution method revisions, network changes, original records, corrected allocations, historical

assessments, and audit-chain continuity.

Output: Attribution Change & Continuity Profile

21. Relationship to Other EGA™ Standards

EFAS operates between physical energy accounting and downstream energy performance or claims governance.

ESOS establishes source and origin context.

EGS establishes generation context.

ECS establishes conversion context.

ETDS establishes transmission and distribution context.

ESS establishes storage context.

EDCS establishes delivery and consumption context.

ESBS establishes balancing context.

EMRS establishes measurement and reconciliation evidence.

EELS governs specialized efficiency and physical loss assessment.

ECDS governs the integrity of energy-related claims and disclosures.

EFAS connects these domains through evidence-supported attribution relationships without replacing their specialized

responsibilities.

22. Temporal Integrity and Historical Attribution

Energy attribution may change when new evidence becomes available or attribution methods are revised.

EFAS requires preservation of:

Physical Valid Time

Evidence Availability Time

Assessment Issuance Time

Applicable Attribution Method Version

Applicable Measurement Evidence

Original Governance Determination

Historical as-of assessments must use evidence available by the defined cutoff.

Later evidence may support a separately identified retrospective reassessment.

Original attribution records must remain preserved.

23. GIE™ Compatibility and AI-Readable Governance

EFAS is designed for methodological compatibility with GIE™ — Governance Intelligence Engine.

Potential machine-readable governance objects include:

Energy Source

Energy Destination

Attribution Boundary

Physical Flow Pathway

Storage Attribution Relationship

Attribution Method

Attributed Quantity

Unattributed Quantity

Measurement Evidence

Uncertainty

Confidence Classification

Governance Determination

A compatible implementation may evaluate unsupported physical tracing claims, double-counted quantities, missing

attribution methods, and historical evidence inconsistencies.

GIE-Compatible: Yes does not establish completed software integration or external certification.

24. What EFAS Does Not Claim

EFAS does not claim that every energy unit can be individually traced through interconnected or mixed energy

systems.

It does not independently establish the validity of commercial energy contracts or certificate schemes.

It does not certify renewable origin, environmental performance, or legal compliance.

It does not replace physical network analysis, measurement verification, energy reconciliation, or specialized energy

efficiency assessment.

Its determinations remain limited to the applicable physical evidence, attribution method, uncertainty, and governance

scope.

25. Canonical Closing Statement

Energy attribution is not established merely because a quantity has been assigned to a source.

A physical energy system may combine generation, conversion, transmission, distribution, storage, and consumption

across interconnected processes.

The resulting energy quantities may be measured and reconciled without allowing their individual source contributions

to be directly traced.

Contracts and certificates may establish valid commercial or attribute-based relationships, but they do not

independently demonstrate the physical pathway of delivered energy.

EFAS provides the methodological framework required to preserve these distinctions.

It establishes identifiable attribution boundaries, evaluates physical pathways, governs allocation methods, prevents

unsupported double counting, and requires uncertainty and evidence limitations to remain explicit.

Its principal governance output is the Energy Flow Attribution Governance Profile.

EFAS ensures that energy attribution remains physically bounded, methodologically transparent, evidence-

supported, and historically reconstructable rather than accepted solely because an origin, quantity, contract,

certificate, or allocation has been declared.

EFAIM — Energy Flow Attribution Identification

Module

Architecture: EGA™ — Energy Governance Architecture

Parent Standard: Energy Flow Attribution Standard (EFAS)

Category: Physical Energy Lifecycle Governance

Subcategory: Physical Energy Flow Attribution, Origin-to-Destination Traceability & Allocation Governance

Type: Core Module

Governed Space: Energy Flow Attribution Identity, Physical Energy Source Identification, Destination Identity,

Attribution Boundary Definition, Energy Carrier Classification, Physical Quantity Identity, Energy Transfer Interface

Identification, Measurement Point Relationships, Generation & Conversion References, Transmission & Distribution

Connectivity, Storage Attribution Identity, Operating Interval Identification, Physical Flow Direction, Source-to-

Destination Relationship Registration, Attribution Object Integrity, Evidence Provenance, Identity Conflict Resolution,

Historical Attribution Identity & Evidence-Based Energy Flow Identification Governance

Module ID: EGA-EFAS-EFAIM-01

Origin ID: OOF-EGA-EFAS-EFAIM

Version: 1.0

Status: Canonical Open

Effective Date: 27.10.2026

Authority: OOF® — OriginOpen® Foundation

Protection: (MIP) Methodological Intellectual Property

Compatibility: Methodology OS — Modular Compatibility

GIE-Compatible: Yes

AI-Readable: Yes

Canonical Language: UCL — Universal Canonical Language (English)

1. Canonical Definition

EFAIM — Energy Flow Attribution Identification Module is the first Core Module within Energy Flow Attribution

Standard (EFAS), operating under EGA™ — Energy Governance Architecture.

EFAIM establishes the methodological requirements for identifying the physical objects, quantities, boundaries,

interfaces, operating intervals, and relationships necessary to evaluate energy flow attribution.

It governs the identity of energy sources, destinations, energy carriers, transfer interfaces, measurement points,

generation and conversion processes, storage systems, and attribution boundaries.

EFAIM recognizes that an energy attribution cannot be reliably evaluated when its underlying physical identities are

incomplete, ambiguous, inconsistent, or incorrectly associated.

A generator identifier does not establish the identity of the destination receiving its energy.

A customer account does not necessarily identify a physical consumption boundary.

A meter identifier does not automatically identify the energy source represented by a measurement.

A network connection does not establish an observed energy flow.

A storage asset may retain its identity while receiving energy from multiple sources over different intervals.

EFAIM therefore distinguishes physical object identity from physical flow evidence and attribution conclusions.

Its principal governance sequence is:

Attribution Object → Source Identity → Destination Identity → Physical Boundary → Energy Carrier →

Transfer Interface → Operating Interval → Relationship Registration → Evidence Assessment → Identity

Determination

EFAIM establishes the identity foundation required by FPAM, EAAM, AVAM, and ACCM.

Its principal governance output is the Energy Flow Attribution Identity & Boundary Profile.

2. Operational Role

EFAIM establishes the identification layer of EFAS.

It governs:

Attribution object identity.

Physical source identity.

Physical destination identity.

Attribution boundary identity.

Energy carrier classification.

Physical quantity identity.

Generation asset references.

Conversion process references.

Transmission and distribution interfaces.

Storage asset references.

Measurement point relationships.

Physical network connectivity.

Energy flow direction identity.

Operating interval identification.

Source-to-destination relationship registration.

Evidence provenance.

Identity conflict classification.

Historical identity references.

Governance determination.

EFAIM determines whether the physical objects and relationships required for an attribution assessment are

sufficiently identified.

It does not independently establish that energy physically flowed between those objects.

3. Operational Question

How can energy sources, destinations, physical boundaries, carriers, transfer interfaces, measurement

points, operating intervals, and attribution relationships be identified so that subsequent energy flow

assessments refer to the correct physical objects without confusing connectivity, commercial association, or

declared origin with verified physical transfer?

4. Position in Architecture Governance Flow

Energy Governance Architecture (EGA™)

Energy Source & Origin → Energy Generation → Energy Conversion → Energy Transmission & Distribution ↔

Energy Storage → Energy Delivery & Consumption

Energy Flow Attribution Standard (EFAS)

EFAIM — Energy Flow Attribution Identification Module

↓

FPAM — Flow Pathway Assessment Module

↓

EAAM — Energy Attribution & Allocation Module

↓

AVAM — Attribution Verification & Assurance Module

↓

ACCM — Attribution Change & Continuity Module

EFAIM provides the canonical identity and boundary references required by the remaining EFAS modules.

5. Governed Space

Energy Flow Attribution Identity, Physical Energy Source Identification, Destination Identity, Attribution

Boundary Definition, Energy Carrier Classification, Physical Quantity Identity, Energy Transfer Interface

Identification, Measurement Point Relationships, Generation & Conversion References, Transmission &

Distribution Connectivity, Storage Attribution Identity, Operating Interval Identification, Physical Flow

Direction, Source-to-Destination Relationship Registration, Attribution Object Integrity, Evidence Provenance,

Identity Conflict Resolution, Historical Attribution Identity & Evidence-Based Energy Flow Identification

Governance

The governed space begins with an identifiable energy attribution object.

It includes the physical identities, boundaries, interfaces, and temporal references necessary to define the proposed

attribution relationship.

It concludes with an evidence-supported identity determination.

6. Governed Object

The primary Governed Object is:

An identifiable energy flow attribution identity record associated with a defined physical source, destination,

energy carrier, attribution boundary, transfer interface, operating interval, measurement relationship,

supporting evidence, and governance determination.

Relevant fields include:

Attribution Identity ID

Source ID

Destination ID

Attribution Boundary ID

Energy Carrier ID

Physical Quantity ID

Transfer Interface IDs

Measurement Point References

Physical System References

Operating Interval

Relationship Classification

Evidence References

Confidence Classification

Governance Determination

7. Scope

EFAIM applies to attribution identities involving:

Electricity

Thermal Energy

Steam

Natural Gas

Hydrogen

Liquid Energy Carriers

Mechanical Energy

Stored Energy

Converted Energy

Multi-Carrier Energy Systems

It applies to:

Generation Sources

Energy Conversion Facilities

Transmission Networks

Distribution Networks

Storage Systems

Delivery Interfaces

Consumption Facilities

Multi-Source Energy Systems

8. Foundational Principle

Energy flow attribution identities must be established according to identifiable physical sources,

destinations, boundaries, carriers, interfaces, operating intervals, and supporting evidence—not merely

names, commercial identifiers, network connections, or declared source relationships.

Source Identifier ≠ Verified Energy Origin.

Customer Identifier ≠ Physical Consumption Boundary.

Network Connection ≠ Observed Physical Flow.

Measurement Point ≠ Source-to-Destination Attribution.

Registered Relationship ≠ Verified Transfer.

9. Attribution Identity Principle

Every material attribution assessment must reference an identifiable attribution object.

The attribution identity must remain distinct from the physical identities of its source and destination.

One source may participate in multiple attribution assessments.

One destination may receive energy associated with multiple sources.

A single attribution object must not be reused to represent materially different physical relationships without explicit

versioning or separation.

10. Attribution Record Identity

Every material attribution record must possess a unique identifier.

Relevant fields include:

Attribution Record ID

Attribution Purpose

Physical Scope

Source Reference

Destination Reference

Operating Interval

Evidence References

The identifier must support traceability across EFAS modules.

11. Physical Source Identity

Every source-specific attribution must identify its physical source.

Relevant fields include:

Source ID

Source Type

Energy Carrier

Physical Location or Defined Scope

Associated Generation or Supply Process

Applicable Operating Interval

Source identity must not be inferred solely from a commercial supplier name.

12. Source Classification

EFAIM supports source classifications including:

Primary Energy Source

Generation Source

Conversion Output Source

Storage Discharge Source

Network Supply Interface

Mixed or Aggregated Source

The classification must reflect the physical role of the source within the assessed boundary.

13. Primary Source Versus Immediate Source

An energy quantity may possess different source relationships.

A hydrogen delivery may originate immediately from a storage facility while its production history references an

electrolyzer.

An electricity withdrawal may originate immediately from a network interface while multiple generators contributed to

the network.

EFAIM must distinguish:

Immediate Physical Supply Interface

from:

Upstream Source Reference

The distinction prevents unsupported origin conclusions.

14. Generation Asset Identity

Generation-related attribution must preserve relevant generation asset references.

Relevant fields include:

Generation Asset ID

Generation Technology

Energy Carrier

Output Interface

Measurement References

Applicable Operating Interval

Generation asset identity does not independently establish delivery to a particular destination.

15. Conversion Process Identity

Conversion-related attribution must identify the relevant conversion process.

Relevant fields include:

Conversion Process ID

Input Carrier

Output Carrier

Input Interface

Output Interface

Physical System Reference

The input and output must remain distinguishable.

16. Conversion Input and Output Identity

A conversion process may possess multiple inputs and outputs.

EFAIM must identify material conversion interfaces separately.

An input energy quantity must not be treated as identical to an output energy quantity merely because both are

expressed in common units.

Physical conversion relationships are evaluated by subsequent modules.

17. Storage Asset Identity

Storage-mediated attribution must identify the relevant storage asset.

Relevant fields include:

Storage Asset ID

Storage Technology

Energy Carrier

Charging Interface

Discharging Interface

Stored-Energy Reference

Storage identity must remain distinct from the identities of its charging sources.

18. Storage Charging Source Identity

A storage system may receive energy from multiple sources.

EFAIM must preserve identifiable charging source references where available.

Relevant fields include:

Charging Source ID

Charging Interface ID

Charging Interval

Energy Carrier

Measurement Reference

Source identity registration does not independently establish the share of energy later discharged.

19. Storage Discharge Destination Identity

Storage discharge may supply multiple destinations or a shared network.

EFAIM must identify the relevant discharge interfaces and destinations.

The existence of a discharge connection does not establish source-specific attribution of the discharged energy.

20. Physical Destination Identity

Every destination-specific attribution must identify its physical destination.

Relevant fields include:

Destination ID

Destination Type

Physical Delivery Boundary

Energy Carrier

Measurement References

Applicable Operating Interval

Destination identity must remain separate from commercial account identity.

21. Destination Classification

EFAIM supports:

Conversion Destination

Transmission Interface

Distribution Interface

Storage Charging Destination

Final Delivery Interface

Consumption Facility

Aggregated Consumption Boundary

The classification must correspond to the actual physical role.

22. Physical Destination Versus Contractual Customer

A contractual customer may control or purchase energy for several physical facilities.

A physical destination may serve multiple contractual entities.

EFAIM must preserve these identities separately.

A customer account must not automatically be treated as a single physical consumption boundary.

23. Attribution Boundary Identity

Every material attribution must possess an identifiable physical attribution boundary.

Relevant fields include:

Boundary ID

Included Assets

Included Sources

Included Destinations

Included Transfer Interfaces

Applicable Operating Interval

The boundary must correspond to the intended attribution relationship.

24. Attribution Boundary Versus Measurement Boundary

A measurement boundary identifies where a physical quantity is measured.

An attribution boundary identifies the physical scope within which source-to-destination attribution is evaluated.

An attribution boundary may contain multiple measurement boundaries.

These identities must remain distinct.

25. Attribution Boundary Versus Reconciliation Boundary

A reconciliation boundary defines a physical accounting relationship.

An attribution boundary defines the scope of an energy source-to-destination relationship.

The boundaries may overlap but need not be identical.

EFAIM must preserve their identities and references.

26. Energy Carrier Identity

Every material attribution must identify the relevant energy carrier.

Examples include:

Electricity

Heat

Steam

Natural Gas

Hydrogen

Liquid Fuel

Carrier identity must remain consistent with the represented physical quantity and process.

27. Physical Quantity Identity

EFAIM distinguishes:

Energy

Power

Mass Flow

Volumetric Flow

Stored-Energy State

Calculated Energy Quantity

The quantity identity must correspond to the intended attribution assessment.

28. Unit Identity

Every material physical quantity must possess an identifiable unit.

Examples include:

MWh

kWh

m³

Unit identity must not be confused with physical quantity identity.

A common unit does not automatically establish physical comparability across different carriers or conversion

processes.

29. Transfer Interface Identity

Every material transfer relationship must identify its relevant physical interfaces.

Relevant fields include:

Transfer Interface ID

Connected Asset IDs

Energy Carrier

Direction Capability

Measurement Point References

Applicable Configuration

Interfaces must remain distinguishable from the assets they connect.

30. Physical Connection Identity

A physical connection may establish a possible transfer relationship.

Relevant fields include:

Connection ID

Connected Objects

Connection Type

Physical Carrier

Applicable Configuration

A connection must not automatically be classified as an observed energy flow.

31. Network Node Identity

Network-mediated attribution may involve identifiable nodes.

Relevant fields include:

Node ID

Network ID

Connected Interfaces

Energy Carrier

Physical Location or Defined Scope

Node identities must remain consistent with the applicable network configuration.

32. Network Segment Identity

Transmission and distribution systems may contain identifiable network segments.

Relevant fields include:

Segment ID

Network ID

Connected Nodes

Transfer Interfaces

Applicable Configuration

Segment identity supports subsequent pathway assessment.

33. Physical Topology Reference

Every network-mediated attribution must preserve relevant physical topology references.

Topology may include:

Nodes

Connections

Assets

Transfer Interfaces

Storage Connections

Conversion Connections

Topology references must correspond to the applicable operating interval.

34. Connectivity Versus Flow Evidence

EFAIM distinguishes:

Physical Connectivity Record

from:

Observed Flow Record

A network connection identifies a possible physical relationship.

Observed flow requires additional evidence.

EFAIM registers the distinction without independently determining the flow.

35. Flow Direction Identity

Transfer interfaces may support:

Forward Flow

Reverse Flow

Bidirectional Flow

Charging

Discharging

EFAIM must preserve the applicable direction classification.

Actual flow direction during a specific interval requires evidence evaluated by FPAM.

36. Operating Interval Identity

Every material attribution must identify the applicable operating interval.

Relevant fields include:

Interval Start

Interval End

Time Reference

Measurement Resolution

Attribution Resolution

The interval must remain linked to the relevant physical configuration.

37. Temporal Boundary Consistency

An attribution relationship may span multiple physical configurations.

EFAIM must identify material configuration transitions affecting the attribution interval.

An attribution record must not silently combine incompatible physical states.

38. Measurement Point Identity

Every measurement-dependent attribution must preserve relevant measurement point references.

Relevant fields include:

Measurement Point ID

Physical Boundary

Measured Quantity

Energy Carrier

Instrument Reference

Measurement point identity is established under EMRS.

EFAIM uses that identity for attribution registration.

39. Measurement Point Versus Attribution Source

A measurement point may record energy entering a network from a source.

It may also record energy leaving a network toward a destination.

The measurement point itself does not establish a complete source-to-destination attribution relationship.

EFAIM must preserve this distinction.

40. Measurement Relationship Registration

EFAIM establishes relationships such as:

Source → Measurement Point

Transfer Interface → Measurement Point

Destination → Measurement Point

Storage Asset → Charging Measurement

Storage Asset → Discharging Measurement

The relationships must remain traceable.

41. Multi-Source Identity

An attribution boundary may contain multiple energy sources.

EFAIM must identify material known source references.

A single aggregated source identifier must not conceal materially distinct sources when source-specific attribution is

required.

42. Multi-Destination Identity

A source may supply energy into a system serving multiple destinations.

EFAIM must preserve the relevant destination references.

Destination identities must not be inferred solely from aggregated consumption totals.

43. Aggregated Attribution Object Identity

An attribution may concern an aggregated group of sources or destinations.

EFAIM must identify:

Aggregation ID

Included Objects

Aggregation Boundary

Applicable Interval

Aggregation Purpose

An aggregated identity must not be presented as an individual physical source or destination.

44. Internal Versus External Interface Identity

EFAIM distinguishes interfaces internal to the attribution boundary from interfaces crossing that boundary.

Internal transfers must not automatically be treated as new external energy sources.

The classification must follow the physical boundary.

45. Source-to-Destination Relationship Registration

EFAIM registers proposed or supported attribution relationships.

Relevant fields include:

Relationship ID

Source Reference

Destination Reference

Attribution Boundary

Energy Carrier

Operating Interval

Relationship Classification

Registration does not independently verify physical transfer.

46. Relationship Classification

EFAIM supports:

Direct Physical Connection

Network-Mediated Relationship

Conversion-Mediated Relationship

Storage-Mediated Relationship

Aggregated Relationship

Contractual Association

Unresolved Relationship

The classification must reflect the evidence available at the identification stage.

47. Physical Versus Contractual Identity

Physical energy objects and commercial entities may possess different identifiers.

Examples include:

Generator Asset ID

Energy Supplier ID

Customer Account ID

Physical Consumption Facility ID

These identities must remain distinguishable.

Contractual association must not substitute for physical object identification.

48. Certificate Reference Identity

An attribution assessment may reference energy certificates or similar instruments.

EFAIM may register:

Certificate Reference ID

Associated Source

Associated Quantity

Applicable Period

Scheme Reference

Certificate identity does not establish physical pathway evidence.

Certificate validity remains outside EFAIM's independent determination scope.

49. Attribution Identity Completeness

An attribution identity is complete only when the required objects and relationships for the intended assessment are

sufficiently identified.

Relevant elements include:

Source

Destination

Boundary

Carrier

Quantity

Transfer Interfaces

Operating Interval

Measurement References

Incomplete identities must remain explicitly classified.

50. Identity Ambiguity

Ambiguity may arise from:

Duplicate Source Identifiers

Unclear Destination Boundaries

Overlapping Attribution Boundaries

Missing Transfer Interface References

Inconsistent Network Configuration

Unresolved Storage Relationships

EFAIM must preserve material ambiguity.

51. Identity Conflict

Identity conflicts may involve:

Contradictory Source Records

Different Asset-to-Meter Assignments

Incompatible Boundary Definitions

Conflicting Network Topology Records

Duplicate Attribution Identifiers

Material conflicts must remain identifiable.

52. Identity Evidence Provenance

Every material attribution identity must preserve:

Evidence ID

Evidence Source

Physical Valid Time

Evidence Availability Time

Assessment Issuance Time

Evidence Integrity Reference

Evidence provenance must remain traceable.

53. Identity Evidence Sufficiency

EFAIM evaluates whether evidence supports the claimed physical identities.

Relevant questions include:

Is the Source Identifiable?

Is the Destination Identifiable?

Is the Attribution Boundary Defined?

Are Relevant Transfer Interfaces Known?

Is the Energy Carrier Identified?

Is the Operating Interval Explicit?

Are Measurement Relationships Traceable?

Are Material Identity Conflicts Resolved?

Insufficient evidence must remain explicit.

54. Identity Evidence Reconciliation

Evidence reconciliation may involve:

Asset Register Comparison

Network Topology Review

Measurement Point Verification

Source Record Comparison

Destination Boundary Review

Storage Connection Review

Reconciliation must preserve original evidence and justification.

55. Confidence Classification

EFAIM applies the EGA™ confidence framework.

Confirmed — Sufficient applicable evidence supports the specific identity conclusion.

Reconciled — Identity is supported through justified evidence reconciliation.

Estimated — Identity depends materially on explicit inference or reconstruction.

Conflicted — Material evidence supports incompatible identities.

Unknown — Available evidence is insufficient.

Confidence applies to the identity conclusion, not automatically to physical energy flow.

56. Governance Determination

EFAIM supports:

PASS — Applicable attribution identification requirements are satisfied.

CONDITIONAL — Identification is supported subject to explicit limitations.

FAIL — One or more mandatory identification requirements are not satisfied.

INDETERMINATE — Evidence is insufficient or materially conflicting.

NOT APPLICABLE — The assessed requirement does not apply.

A PASS establishes identification conformity.

It does not establish verified physical transfer, source allocation, or final attribution validity.

57. Attribution Identity Governance Rules

A governed attribution identity must remain:

Source-Identifiable

Destination-Identifiable

Boundary-Defined

Carrier-Classified

Quantity-Defined

Interface-Traceable

Temporally Explicit

Measurement-Referenced

Evidence-Supported

Historically Reconstructable

These conditions establish the identity foundation for subsequent energy flow attribution.

58. Attribution Identity Relationship Model

EFAIM establishes:

Attribution Record → Source

Attribution Record → Destination

Attribution Record → Attribution Boundary

Attribution Record → Energy Carrier

Attribution Record → Operating Interval

Source → Physical Transfer Interface

Destination → Physical Transfer Interface

Transfer Interface → Measurement Point

Attribution Record → Evidence

Attribution Record → Governance Determination

These relationships must remain machine-readable where implemented digitally.

59. Fifty Governance Requirements

A conforming EFAIM implementation must satisfy the following requirements.

Attribution Object & Source Identity

1. Establish an identifiable attribution object.

2. Preserve unique attribution record references.

3. Identify the relevant physical source.

4. Classify the source type.

5. Distinguish immediate supply interfaces from upstream sources.

6. Preserve generation asset references where applicable.

7. Preserve conversion process references where applicable.

8. Preserve storage asset references where applicable.

9. Identify material charging source relationships.

10. Prevent unsupported source identity substitution.

Destination & Boundary Identity

11. Identify the relevant physical destination.

12. Classify the destination type.

13. Distinguish physical destinations from contractual customers.

14. Establish the attribution boundary.

15. Preserve included asset references.

16. Identify material boundary-crossing interfaces.

17. Distinguish attribution boundaries from measurement boundaries.

18. Distinguish attribution boundaries from reconciliation boundaries.

19. Preserve aggregated object identities where applicable.

20. Prevent unsupported boundary aggregation.

Carrier, Quantity & Interface Identity

21. Identify the energy carrier.

22. Identify the physical quantity.

23. Preserve the applicable measurement unit.

24. Identify material transfer interfaces.

25. Preserve physical connection references.

26. Identify relevant network nodes.

27. Identify relevant network segments.

28. Preserve applicable physical topology references.

29. Distinguish connectivity from observed flow.

30. Preserve relevant flow direction classifications.

Temporal & Measurement Relationships

31. Identify the operating interval.

32. Preserve applicable time references.

33. Identify material configuration transitions.

34. Preserve measurement point references.

35. Preserve source-to-measurement relationships.

36. Preserve destination-to-measurement relationships.

37. Preserve storage charging measurement relationships.

38. Preserve storage discharging measurement relationships.

39. Register source-to-destination relationships.

40. Classify the registered relationship type.

Evidence, Governance & Interoperability

41. Distinguish physical identities from contractual associations.

42. Preserve certificate references without treating them as physical flow evidence.

43. Evaluate attribution identity completeness.

44. Identify material identity ambiguity.

45. Preserve material identity conflicts.

46. Preserve identity evidence provenance.

47. Evaluate evidence sufficiency and reconcile conflicts where possible.

48. Apply confidence classifications.

49. Apply evidence-supported governance determinations and maintain machine-readable cross-module

references.

50. Produce an Energy Flow Attribution Identity & Boundary Profile.

60. Governance Logic

Attribution Object → Source Identification → Destination Identification → Boundary Definition → Carrier &

Quantity Identification → Interface Mapping → Temporal Identification → Relationship Registration →

Evidence Assessment → Governance Determination

For source identification:

Physical Source → Source Type → Energy Carrier → Transfer Interface

For destination identification:

Physical Destination → Delivery Boundary → Transfer Interface → Measurement Reference

For network relationships:

Source Interface → Network Node → Network Segment → Destination Interface

For governance:

Identity Evidence → Completeness Assessment → Conflict Assessment → Confidence → Determination

The governance logic must not convert registered connectivity into a verified flow conclusion.

61. Governance Outputs

The principal output is:

Energy Flow Attribution Identity & Boundary Profile

Supporting outputs may include:

Attribution Identity Register

Source Identity Register

Source Classification Record

Immediate Supply Interface Record

Generation Asset Attribution Reference

Conversion Process Attribution Reference

Storage Asset Attribution Reference

Storage Charging Source Register

Storage Discharge Destination Register

Destination Identity Register

Destination Classification Record

Physical Destination Boundary Profile

Attribution Boundary Register

Energy Carrier Identity Record

Physical Quantity Identity Record

Unit Identity Record

Transfer Interface Register

Physical Connection Register

Network Node Register

Network Segment Register

Physical Topology Reference Profile

Flow Direction Classification Record

Operating Interval Record

Measurement Point Relationship Register

Multi-Source Identity Profile

Multi-Destination Identity Profile

Aggregated Attribution Object Record

Internal & External Interface Classification

Source-to-Destination Relationship Register

Relationship Classification Record

Contractual Identity Distinction Record

Certificate Reference Record

Identity Completeness Assessment

Identity Ambiguity Register

Identity Conflict Record

Evidence Provenance Record

Evidence Sufficiency Assessment

Evidence Reconciliation Record

Confidence Classification Record

Governance Determination Record

Outputs must preserve the physical identity, boundary, temporal, and evidence relationships required for subsequent

attribution assessments.

62. Minimum Implementation Framework

A minimum EFAIM implementation establishes eight governance layers.

Layer 1 — Attribution Object Identification

Establish the attribution record, purpose, physical scope, and persistent identity.

Layer 2 — Source Identification

Identify the physical source, source classification, generation or conversion references, and immediate supply

interfaces.

Layer 3 — Destination Identification

Identify the physical destination, delivery boundary, consumption or storage role, and relevant measurement

references.

Layer 4 — Boundary & Carrier Definition

Define the attribution boundary, energy carrier, physical quantity, and measurement units.

Layer 5 — Interface & Topology Mapping

Identify transfer interfaces, physical connections, network nodes, segments, and applicable topology.

Layer 6 — Temporal & Measurement Registration

Preserve operating intervals, configuration references, measurement points, and source-to-destination relationship

records.

Layer 7 — Evidence & Identity Determination

Evaluate completeness, ambiguity, conflicts, evidence sufficiency, confidence, and conformity.

Layer 8 — Interoperability & Historical References

Produce machine-readable identity records for FPAM, EAAM, AVAM, ACCM, and compatible governance systems.

No specific proprietary technology is mandatory.

63. Cross-Module Boundary

FPAM — Flow Pathway Assessment Module

Evaluates whether registered physical connections and pathways support possible or observed energy transfer

relationships.

EFAIM provides source, destination, interface, and topology identities.

EAAM — Energy Attribution & Allocation Module

Evaluates attribution and allocation methods.

EFAIM provides the objects and boundaries to which quantities may be attributed.

AVAM — Attribution Verification & Assurance Module

Evaluates attribution evidence, quantity consistency, double counting, and governance conformity.

EFAIM supplies identity evidence and completeness records.

ACCM — Attribution Change & Continuity Module

Preserves attribution identity revisions, boundary changes, original records, and historical continuity.

EFAIM supplies the original and current identity relationships.

64. Cross-Architecture Boundary

ESOS — Energy Source & Origin Standard

Provides source and origin context.

EFAIM registers source references without independently verifying origin claims.

EGS — Energy Generation Standard

Provides generation asset identities and operating context.

EFAIM registers generation-related attribution objects.

ECS — Energy Conversion Standard

Provides conversion process identities.

EFAIM registers conversion inputs, outputs, and relevant interfaces.

ETDS — Energy Transmission & Distribution Standard

Provides network asset, connection, and topology references.

EFAIM registers their attribution relationships.

ESS — Energy Storage Standard

Provides storage asset and operating-state identities.

EFAIM registers charging and discharging relationships.

EDCS — Energy Delivery & Consumption Standard

Provides delivery and consumption identities.

EFAIM registers physical destinations and delivery boundaries.

EMRS — Energy Measurement & Reconciliation Standard

Provides measurement point and physical quantity identities.

EFAIM references these objects without replacing measurement governance.

65. Verification Framework

EFAIM supports explicit verification tests.

Attribution Identity Test: Is the attribution record uniquely identifiable?

Source Test: Is the physical source identified?

Destination Test: Is the physical destination identified?

Boundary Test: Is the attribution boundary explicit?

Carrier Test: Is the energy carrier correctly classified?

Quantity Test: Is the physical quantity identified?

Interface Test: Are relevant transfer interfaces registered?

Topology Test: Are applicable physical network relationships identified?

Interval Test: Is the operating interval defined?

Measurement Test: Are relevant measurement points traceable?

Relationship Test: Is the source-to-destination relationship classified?

Contractual Distinction Test: Are physical identities separated from commercial associations?

Evidence Test: Is the identification supported by sufficient evidence?

Historical Test: Are identity versions and applicable intervals reconstructable?

66. Non-Conformity Classification

EFAIM recognizes:

Attribution Object Identity Non-Conformity

Physical Source Identity Non-Conformity

Source Classification Non-Conformity

Generation Reference Non-Conformity

Conversion Reference Non-Conformity

Storage Identity Non-Conformity

Physical Destination Identity Non-Conformity

Attribution Boundary Non-Conformity

Energy Carrier Identity Non-Conformity

Physical Quantity Identity Non-Conformity

Transfer Interface Identity Non-Conformity

Physical Connection Identity Non-Conformity

Network Topology Reference Non-Conformity

Operating Interval Identity Non-Conformity

Measurement Point Relationship Non-Conformity

Source-to-Destination Relationship Non-Conformity

Physical Versus Contractual Identity Non-Conformity

Identity Evidence Sufficiency Non-Conformity

Historical Identity Continuity Non-Conformity

Governance Determination Non-Conformity

Non-conformities must identify the affected attribution object, physical identity, boundary, interval, evidence, and

requirement.

An identification non-conformity does not automatically establish an invalid physical transfer, commercial breach, or

legal liability.

67. Practical Use Case 1 — Commercial Supplier Identity Incorrectly

Used as a Physical Source

Situation

An industrial facility purchases electricity through a commercial energy supplier.

The supplier's name appears in the facility's energy management system.

The facility's electricity meter records:

500 MWh of electricity consumption

The system automatically assigns the entire quantity to the supplier as the physical generation source.

However, the facility receives electricity through an interconnected distribution network.

The supplier operates as a commercial counterparty rather than an identified generation asset directly supplying the

facility.

EFAIM Assessment

EFAIM identifies:

Physical Destination: Industrial Facility

Measured Delivery Boundary: Identifiable

Commercial Supplier: Identifiable

Physical Generation Source: Not Established

Source-to-Destination Physical Relationship: Unresolved

The commercial supplier identifier cannot substitute for the physical generation source identity.

The energy quantity may remain commercially associated with the supplier without establishing direct physical origin.

Governance Determination

FAIL — A Commercial Supplier Identifier Is Incorrectly Classified as a Verified Physical Energy Source.

Methodological Lesson

Commercial source association must not replace the identification of the actual physical energy source or

supply interface.

68. Practical Use Case 2 — Storage Asset Identity Confused with Original

Energy Source

Situation

A battery storage facility receives electricity from:

Solar Generation Facility A

and:

Shared Electricity Network B

The battery later discharges energy into an industrial consumption facility.

The attribution register records only:

Source: Battery Storage Facility

Destination: Industrial Facility

The original charging source references are not preserved.

The operator subsequently claims that all discharged energy originated from Solar Generation Facility A.

EFAIM Assessment

EFAIM identifies:

Immediate Supply Source: Battery Storage Facility

Final Destination: Industrial Facility

Upstream Charging Source A: Partially Identifiable

Upstream Charging Source B: Partially Identifiable

Complete Charging Source Relationships: Missing

The battery is the immediate discharge source, but it is not necessarily the original generation source of all discharged

energy.

The attribution identity is incomplete for the claimed solar-origin assessment.

Governance Determination

FAIL — Upstream Charging Source Identities Are Insufficiently Preserved for the Claimed Source-Specific

Attribution.

Methodological Lesson

A storage asset's identity must remain distinct from the identities of the energy sources that charged it.

69. Temporal Integrity & Historical Identity

EFAIM requires attribution identities to preserve:

Physical Valid Time

When the physical source, destination, boundary, interface, or configuration applied.

Evidence Availability Time

When the supporting identity evidence became available.

Assessment Issuance Time

When the identity determination was issued.

Historical as-of assessments must use the physical configuration and evidence available by the defined historical

cutoff.

Later source corrections, network configuration records, or measurement identity revisions may support separately

identifiable retrospective assessments.

Original identity records and determinations must remain preserved.

ACCM governs historical attribution identity changes and audit-chain continuity.

70. GIE™ Compatibility

EFAIM is designed for methodological compatibility with GIE™ — Governance Intelligence Engine.

Potential machine-readable objects include:

Attribution Identity

Physical Source

Physical Destination

Attribution Boundary

Energy Carrier

Physical Quantity

Transfer Interface

Network Node

Network Segment

Physical Connection

Operating Interval

Measurement Point Reference

Source-to-Destination Relationship

Evidence Reference

Confidence Classification

Governance Determination

A compatible implementation may support automated checks for:

Missing Physical Source Identities

Commercial Suppliers Misclassified as Generation Sources

Undefined Physical Destinations

Missing Attribution Boundaries

Incompatible Energy Carrier Identities

Unregistered Transfer Interfaces

Unsupported Source-to-Destination Relationships

Measurement Point Identity Conflicts

Incomplete Storage Charging Source References

Historical Identity Evidence Inconsistency

GIE-Compatible: Yes establishes methodological and architectural compatibility.

It does not establish completed production integration, validated software behavior, or external certification.

71. Canonical Boundary

EFAIM — Energy Flow Attribution Identification Module governs the identification of physical energy sources,

destinations, attribution boundaries, carriers, quantities, transfer interfaces, measurement relationships, and

operating intervals required for evidence-supported energy flow attribution.

It establishes methodological requirements for:

Attribution Object Identity

Physical Source Identity

Physical Destination Identity

Attribution Boundary Identity

Energy Carrier Identity

Physical Quantity Identity

Transfer Interface Identity

Physical Network References

Storage Source Relationships

Measurement Point References

Operating Interval Identity

Relationship Classification

Evidence Provenance

Identity Confidence

Governance Determination

EFAIM does not independently establish observed physical flow, verified transfer pathways, source allocation, quantity

conservation, or final attribution validity.

Those responsibilities remain assigned to FPAM, EAAM, AVAM, and ACCM.

Its principal governance output is:

Energy Flow Attribution Identity & Boundary Profile

72. Canonical Closing Statement

Physical energy attribution cannot be considered governed when the identities of its sources, destinations,

boundaries, interfaces, and operating intervals remain ambiguous or are substituted with commercial

identifiers.

A generation asset may be identified without proving delivery to a particular consumer.

A customer account may exist without identifying a single physical consumption boundary.

A measurement point may record energy transfer without establishing the original generation source.

A storage system may discharge energy without preserving the identities of every upstream charging source.

And a physical network connection may exist without demonstrating actual energy flow during the assessed interval.

EFAIM establishes the methodological structure required to identify and distinguish these relationships.

It connects physical sources, destinations, carriers, quantities, transfer interfaces, measurement points, network

references, operating intervals, and supporting evidence within a defined attribution identity framework.

It provides the identification foundation required for physical pathway assessment, attribution and allocation,

verification, and historical continuity.

EFAIM ensures that energy flow attribution begins with identifiable physical objects and evidence-supported

relationships rather than assumptions derived from names, commercial associations, network connectivity,

or declared origin.

FPAM — Flow Pathway Assessment Module

Architecture: EGA™ — Energy Governance Architecture

Parent Standard: Energy Flow Attribution Standard (EFAS)

Category: Physical Energy Lifecycle Governance

Subcategory: Physical Energy Flow Attribution, Origin-to-Destination Traceability & Allocation Governance

Type: Core Module

Governed Space: Physical Energy Flow Pathway Assessment, Source-to-Destination Connectivity, Network

Topology, Physical Transfer Interfaces, Flow Direction, Operating-State Evidence, Direct & Network-Mediated

Transfer, Generation & Conversion Pathways, Transmission & Distribution Relationships, Storage-Mediated

Pathways, Energy Mixing, Multi-Source & Multi-Destination Networks, Temporal Pathway Validity, Measurement

Dependencies, Physical Flow Constraints, Pathway Uncertainty, Evidence Provenance, Historical Pathway Integrity &

Evidence-Based Energy Flow Pathway Governance

Module ID: EGA-EFAS-FPAM-02

Origin ID: OOF-EGA-EFAS-FPAM

Version: 1.0

Status: Canonical Open

Effective Date: 27.10.2026

Authority: OOF® — OriginOpen® Foundation

Protection: (MIP) Methodological Intellectual Property

Compatibility: Methodology OS — Modular Compatibility

GIE-Compatible: Yes

AI-Readable: Yes

Canonical Language: UCL — Universal Canonical Language (English)

1. Canonical Definition

FPAM — Flow Pathway Assessment Module is the second Core Module within Energy Flow Attribution Standard

(EFAS), operating under EGA™ — Energy Governance Architecture.

FPAM establishes the methodological governance requirements for evaluating the physical pathways through which

energy may be transferred, converted, stored, distributed, or delivered between identifiable sources and destinations.

It governs the distinction between a physically connected pathway, an operationally available pathway, an observed

energy transfer, a model-supported flow relationship, and an unsupported source-to-destination claim.

FPAM recognizes that physical connectivity does not independently establish actual energy flow.

A generator may be connected to a network without producing energy during the assessed interval.

A transmission connection may exist while a switching device prevents transfer.

An electricity network may contain several possible pathways without permitting a unique physical source-to-

consumer route to be established.

A battery may receive energy from multiple sources and later discharge into a shared system.

A conversion facility may transform an energy carrier while changing the physical conditions governing the

downstream transfer.

These situations require pathway assessments to distinguish physical possibility from observed operation and source-

specific attribution.

FPAM therefore establishes a structured assessment of network topology, physical interfaces, operating states,

transfer direction, conversion relationships, storage intermediation, energy mixing, measurement evidence, and

pathway uncertainty.

Its principal governance sequence is:

Identified Source & Destination → Applicable Physical Topology → Interface Connectivity → Operating-State

Assessment → Transfer Direction → Pathway Evidence → Mixing & Transformation Assessment →

Uncertainty → Pathway Determination

FPAM receives canonical source, destination, boundary, carrier, interface, and interval identities from EFAIM.

It provides evidence-supported pathway classifications to EAAM and AVAM, while ACCM preserves their historical

continuity.

Its principal governance output is the Physical Flow Pathway & Evidence Profile.

2. Operational Role

FPAM governs the assessment of physical energy transfer pathways.

It establishes requirements for:

Physical pathway identification.

Network topology assessment.

Source-to-destination connectivity.

Transfer interface relationships.

Operational pathway availability.

Physical flow direction.

Direct transfer pathways.

Network-mediated transfer.

Conversion-mediated pathways.

Storage-mediated pathways.

Energy mixing.

Multi-source network relationships.

Multi-destination network relationships.

Physical operating constraints.

Measurement-supported flow evidence.

Model-supported pathway assessment.

Temporal pathway validity.

Pathway uncertainty.

Evidence provenance.

Pathway confidence and governance determination.

FPAM determines whether the claimed pathway is physically identifiable, operationally supportable, and consistent

with available evidence.

It does not independently allocate energy quantities to particular sources or destinations.

3. Operational Question

How can physical energy transfer pathways between identified sources and destinations be assessed using

topology, operating conditions, flow measurements, conversion and storage relationships, and evidence of

energy mixing without treating network connectivity, possible transfer routes, or modeled relationships as

proof of actual source-specific energy delivery?

4. Position in Architecture Governance Flow

Energy Governance Architecture (EGA™)

Energy Source & Origin → Energy Generation → Energy Conversion → Energy Transmission & Distribution ↔

Energy Storage → Energy Delivery & Consumption

Energy Flow Attribution Standard (EFAS)

EFAIM — Energy Flow Attribution Identification Module

↓

FPAM — Flow Pathway Assessment Module

↓

EAAM — Energy Attribution & Allocation Module

↓

AVAM — Attribution Verification & Assurance Module

↓

ACCM — Attribution Change & Continuity Module

FPAM evaluates the physical pathway relationships established through EFAIM identities.

It provides pathway evidence and limitations for subsequent attribution and allocation assessments.

5. Governed Space

Physical Energy Flow Pathway Assessment, Source-to-Destination Connectivity, Network Topology, Physical

Transfer Interfaces, Flow Direction, Operating-State Evidence, Direct & Network-Mediated Transfer,

Generation & Conversion Pathways, Transmission & Distribution Relationships, Storage-Mediated Pathways,

Energy Mixing, Multi-Source & Multi-Destination Networks, Temporal Pathway Validity, Measurement

Dependencies, Physical Flow Constraints, Pathway Uncertainty, Evidence Provenance, Historical Pathway

Integrity & Evidence-Based Energy Flow Pathway Governance

The governed space begins with identifiable source and destination objects.

It includes the physical topology, operating conditions, and evidence required to assess possible or observed transfer

relationships.

It concludes with an evidence-supported pathway determination.

6. Governed Object

The primary Governed Object is:

An identifiable physical energy flow pathway assessment associated with defined source and destination

identities, physical transfer interfaces, network topology, operating interval, energy carrier, relevant operating

conditions, measurement evidence, pathway classification, uncertainty, and governance determination.

Relevant fields include:

Pathway Assessment ID

Source ID

Destination ID

Attribution Boundary ID

Energy Carrier ID

Physical Pathway ID

Transfer Interface References

Network Topology Version

Operating Interval

Operating-State References

Flow Direction Evidence

Measurement Evidence References

Pathway Classification

Uncertainty Reference

Confidence Classification

Governance Determination

7. Scope

FPAM applies to physical pathway assessments involving:

Electricity

Thermal Energy

Steam

Natural Gas

Hydrogen

Liquid Energy Carriers

Mechanical Energy

Stored Energy

Converted Energy

Multi-Carrier Energy Systems

It applies to:

Direct Physical Connections

Transmission Networks

Distribution Networks

Conversion Facilities

Storage Systems

Shared Energy Networks

Multi-Source Energy Systems

Multi-Destination Energy Systems

8. Foundational Principle

Physical energy pathways must be assessed according to actual topology, applicable operating states,

transfer interfaces, physical constraints, measurement evidence, and uncertainty—not merely the existence

of a connection or an assumed route between a source and destination.

Physical Connectivity ≠ Actual Energy Flow.

Available Pathway ≠ Utilized Pathway.

Observed Network Flow ≠ Verified Individual Source Contribution.

Modeled Flow ≠ Directly Measured Flow.

Physical Transfer Capability ≠ Verified Energy Delivery.

9. Physical Pathway Reference Model

FPAM establishes:

Source → Transfer Interface → Physical Network or Process → Transfer Interface → Destination

Intermediate relationships may include:

Generation

Conversion

Transmission

Distribution

Storage

Energy Mixing

A pathway assessment must identify material intermediate processes relevant to the claimed physical relationship.

10. Pathway Identity

Every material pathway assessment must possess an identifiable reference.

Relevant fields include:

Pathway ID

Source Reference

Destination Reference

Intermediate Asset References

Transfer Interface References

Applicable Configuration

Operating Interval

Pathway identity must remain distinct from attribution quantity identity.

11. Source-to-Destination Connectivity

FPAM evaluates whether an identifiable physical connection exists between the source and destination within the

assessed system.

Connectivity evidence may include:

Network Diagrams

Asset Registers

Connection Records

Physical Inspection Records

Verified Topology Data

Connectivity establishes a possible transfer relationship.

It does not independently establish actual energy flow.

12. Direct Physical Connection

A direct connection may support a relatively constrained transfer relationship.

Relevant factors include:

Dedicated Physical Interface

Defined Source and Destination

Applicable Operating Interval

Material Alternative Inputs

Flow Measurement Evidence

A dedicated connection must still be evaluated for actual operating conditions.

13. Network-Mediated Pathway

A network-mediated pathway includes intermediate network assets or shared transfer infrastructure.

FPAM must identify:

Network ID

Relevant Nodes

Relevant Segments

Transfer Interfaces

Applicable Topology

Operating Conditions

The existence of a network path does not independently establish the contribution of a particular source to a particular

destination.

14. Physical Topology Assessment

FPAM evaluates the physical configuration applicable to the assessed interval.

Relevant objects include:

Nodes

Connections

Network Segments

Switching Devices

Valves

Transformers

Converters

Pumps

Storage Connections

Topology evidence must correspond to the applicable physical system state.

15. Topology Version Integrity

Physical topology may change over time.

FPAM must preserve:

Topology Version ID

Physical Validity Interval

Affected Assets

Configuration References

Evidence Availability

Historical pathway assessments must not use later topology versions as though they applied to earlier intervals.

16. Operational Pathway Availability

A physically connected pathway may be unavailable during a particular interval.

Possible causes include:

Disconnected Equipment

Open Switching Devices

Closed Valves

Maintenance Isolation

Equipment Failure

Operational Restrictions

FPAM must distinguish physical connectivity from operational availability.

17. Operating-State Evidence

Pathway assessment may depend on:

Equipment Status

Switching State

Valve Position

Generator Operating State

Storage Charging or Discharging State

Conversion Process State

Network Operating Conditions

Relevant operating-state evidence must remain identifiable.

18. Physical Flow Direction

FPAM evaluates the direction of energy transfer relative to the applicable boundary.

Relevant classifications include:

Import

Export

Forward Transfer

Reverse Transfer

Charging

Discharging

Actual flow direction must be supported by evidence where material.

19. Bidirectional Pathways

Some physical interfaces permit energy transfer in both directions.

Examples include:

Battery Connections

Interconnected Electricity Networks

Bidirectional Thermal Systems

Reversible Conversion Processes

FPAM must preserve direction-specific operating evidence.

A bidirectional capability must not be treated as proof that both directions were utilized.

20. Transfer Interface Assessment

Every material pathway must identify its transfer interfaces.

Relevant fields include:

Interface ID

Connected Assets

Energy Carrier

Direction Capability

Applicable Configuration

Measurement References

Interfaces must remain traceable to EFAIM identities.

21. Generation Output Pathway

Generation output may enter:

Dedicated Loads

Conversion Facilities

Storage Systems

Transmission Networks

Distribution Networks

FPAM evaluates the physical transfer relationship from the generation output boundary.

Generation evidence alone does not establish final consumption attribution.

22. Conversion-Mediated Pathway

Conversion-mediated pathways involve transformation of one energy carrier into another.

FPAM must identify:

Input Carrier

Conversion Process

Output Carrier

Input Interface

Output Interface

Applicable Operating Interval

The input and output pathways must remain distinguishable.

23. Conversion Process Operating State

A conversion pathway may exist physically while the conversion process is inactive.

FPAM must evaluate whether the process was operating during the assessed interval.

Relevant evidence may include:

Process Status

Input Measurements

Output Measurements

Operating Logs

Equipment Configuration

A conversion asset's existence does not establish observed conversion.

24. Conversion Pathway Continuity

A multi-stage energy pathway may involve several conversion processes.

FPAM must preserve the sequence of relevant physical transformations.

A pathway must not be represented as continuous when material conversion interfaces or operating states remain

unresolved.

25. Transmission Pathway

Transmission pathway assessment concerns physical transfer relationships across transmission infrastructure.

Relevant evidence may include:

Network Configuration

Line or Interface Measurements

Operating-State Records

Transfer Direction

Applicable Constraints

FPAM must distinguish physical transmission evidence from contractual transmission rights.

26. Distribution Pathway

Distribution pathways may serve multiple destinations through shared infrastructure.

FPAM must identify the relevant distribution topology and transfer interfaces.

A measured withdrawal at one destination does not independently establish which upstream source supplied the

withdrawn energy.

27. Storage-Mediated Pathway

Storage-mediated pathways involve energy entering a storage system and leaving during a later interval.

FPAM must identify:

Charging Interface

Charging Source Relationships

Storage Asset

Discharging Interface

Discharge Destination Relationships

Relevant Operating Intervals

The storage process creates a temporal separation between charging and discharging.

28. Storage Charging Pathway

Charging pathway assessment evaluates the physical relationship between an energy source or network and the

storage charging interface.

Relevant evidence includes:

Charging State

Charging Direction

Charging Measurement

Applicable Connection

Operating Interval

Charging pathway evidence does not independently establish the source composition of later discharged energy.

29. Storage Discharging Pathway

Discharging pathway assessment evaluates the physical relationship between storage output and the receiving

destination or network.

Relevant evidence includes:

Discharging State

Discharge Direction

Discharge Measurement

Applicable Connection

Operating Interval

Discharge pathway evidence does not independently identify the original charging sources.

30. Storage Source Mixing

A storage system may receive energy from multiple sources.

FPAM must identify whether the relevant storage process creates a shared energy inventory or another form of

mixing.

Where source-specific physical identity cannot be maintained, the limitation must remain explicit.

Allocation of discharged energy belongs to EAAM.

31. Energy Mixing in Networks

Energy mixing may occur in:

Electricity Networks

Gas Networks

Thermal Networks

Shared Storage Systems

Multi-Source Conversion Systems

FPAM must identify material mixing conditions that limit direct source-specific physical tracing.

32. Electricity Network Attribution Limitation

In interconnected electricity networks, physical power flows are determined by electrical network conditions.

A contractual transaction does not establish an individually identifiable route followed by electricity from a particular

generator to a particular consumer.

FPAM must distinguish measured network injections and withdrawals from source-specific allocation conclusions.

33. Gas Network Mixing

Gas networks may combine gas from multiple supply sources.

FPAM must identify relevant physical injection and withdrawal relationships.

The existence of a supply contract does not independently establish the physical origin of every gas quantity

withdrawn at a downstream destination.

34. Thermal Network Mixing

Thermal distribution systems may receive energy from multiple heat sources.

FPAM must identify relevant source interfaces, distribution relationships, and operating intervals.

Mixed thermal energy must not be represented as individually source-traceable without supporting evidence.

35. Multi-Source Pathways

A destination may be physically connected to multiple sources.

FPAM must identify material source pathways and their operating availability.

A source-specific pathway claim must consider alternative active sources where relevant.

36. Multi-Destination Pathways

A source may supply energy into a network serving multiple destinations.

FPAM must identify material destination relationships.

The existence of multiple destinations may limit the ability to determine source-specific delivery without additional

evidence or allocation.

37. Parallel Pathways

Energy may transfer through multiple parallel physical pathways.

FPAM must identify relevant parallel routes when they materially affect the assessment.

A single conceptual route must not be represented as the unique physical pathway without sufficient evidence.

38. Alternative Pathways

Alternative pathways may become available through:

Network Switching

Valve Reconfiguration

Backup Connections

Storage Integration

Operational Rerouting

FPAM must preserve relevant alternative pathway conditions.

39. Physical Pathway Constraints

Pathway operation may depend on:

Equipment Capacity

Pressure Limits

Temperature Limits

Voltage Conditions

Flow Resistance

Network Stability

Operational Restrictions

FPAM must identify material constraints relevant to the claimed transfer.

Detailed technical conformity remains governed by the applicable EGA standards.

40. Pathway Capacity Versus Actual Transfer

A pathway may possess a nominal transfer capacity.

That capacity does not establish the quantity actually transferred.

FPAM distinguishes:

Rated Capacity

Available Capacity

Observed Transfer

These quantities must not be treated as interchangeable.

41. Measurement-Supported Pathway Evidence

Physical pathway evidence may include:

Power Flow Measurements

Energy Transfer Measurements

Mass Flow Measurements

Thermal Flow Measurements

Pressure Measurements

Temperature Measurements

Storage Charging Measurements

Storage Discharging Measurements

The evidence must be appropriate to the relevant energy carrier and physical relationship.

42. Measurement Validity Dependency

FPAM depends on measurement evidence governed under EMRS.

Relevant references include:

Measurement Identity

Instrument Verification

Data Acquisition Integrity

Measurement Interval

Measurement Uncertainty

Reconciliation Status

FPAM must not conceal material measurement limitations.

43. Observed Flow Versus Inferred Flow

FPAM distinguishes:

Directly Observed Transfer

Measurement-Supported Inference

Model-Supported Flow

Physically Possible Pathway

Unresolved Pathway

The classification must reflect the actual evidentiary basis.

44. Model-Supported Pathway Assessment

A pathway may be evaluated through a physical network model.

Relevant fields include:

Model ID

Model Version

Topology Input

Operating-State Input

Physical Assumptions

Validation References

Uncertainty

Model output must not be represented as directly measured flow.

45. Model Boundary Conditions

Model-based pathway assessment requires explicit boundary conditions.

Relevant factors may include:

Source Injections

Destination Withdrawals

Network Configuration

Equipment Parameters

Operating Constraints

Initial Storage Conditions

Material assumptions must remain traceable.

46. Model Validation Dependency

A model may reproduce measured system behavior within defined conditions.

FPAM must preserve the applicable validation scope.

A validated network model does not automatically establish unique source-specific energy tracing through a mixed

system.

47. Pathway Temporal Resolution

Pathway evidence must correspond to the relevant operating interval.

Relevant issues include:

Measurement Resolution

Operating-State Changes

Switching Events

Storage Transitions

Conversion Process Changes

An interval must not be treated as physically uniform when material changes occurred within it.

48. Pathway Interval Alignment

Different evidence sources may use different timestamps or sampling intervals.

FPAM must identify material temporal inconsistencies.

Where alignment requires processing or estimation, the method must remain explicit.

49. Pathway Continuity

A pathway may remain physically connected while its operational state changes.

FPAM must distinguish:

Physical Connection Continuity

Operational Availability Continuity

Observed Transfer Continuity

These conditions must not be treated as equivalent.

50. Pathway Interruption

Pathway interruption may arise from:

Equipment Disconnection

Network Switching

Valve Closure

Maintenance Isolation

Equipment Failure

Operational Curtailment

FPAM must identify material interruption intervals and supporting evidence.

51. Pathway Evidence Provenance

Every material pathway assessment must preserve:

Evidence ID

Evidence Source

Physical Valid Time

Evidence Availability Time

Assessment Issuance Time

Topology Version

Measurement References

Integrity Reference

Evidence provenance must remain traceable.

52. Evidence Sufficiency

FPAM evaluates whether available evidence supports the claimed physical pathway.

Relevant questions include:

Are the Source and Destination Identified?

Is the Physical Topology Known?

Were the Relevant Interfaces Connected?

Was the Pathway Operationally Available?

Is the Claimed Flow Direction Supported?

Are Material Conversion Processes Identified?

Are Storage Relationships Represented?

Are Mixing Limitations Addressed?

Are Relevant Measurements Available?

Are Model Assumptions Explicit?

Insufficient evidence must remain explicit.

53. Evidence Conflict

Conflicts may arise from:

Contradictory Topology Records

Incompatible Switching States

Conflicting Flow Measurements

Different Network Model Results

Contradictory Storage Operating Records

Inconsistent Operating Intervals

Material conflicts must remain preserved until reconciled.

54. Evidence Reconciliation

Evidence reconciliation may involve:

Topology Record Comparison

Operating Log Review

Measurement Reconciliation

Storage State Reconstruction

Model Input Verification

Temporal Alignment Review

Reconciliation must preserve original evidence and the justification for the resulting conclusion.

55. Pathway Confidence Classification

FPAM applies the EGA™ confidence framework.

Confirmed — Sufficient applicable evidence supports the specific pathway conclusion.

Reconciled — The pathway conclusion is supported through justified evidence reconciliation.

Estimated — The conclusion relies materially on modeling, inference, or reconstruction.

Conflicted — Material evidence supports incompatible pathway conclusions.

Unknown — Available evidence is insufficient.

Confidence must apply to the specific pathway claim.

A confirmed network connection must not be misrepresented as confirmed source-specific energy delivery.

56. Governance Determination

FPAM supports:

PASS — Applicable physical pathway assessment requirements are satisfied.

CONDITIONAL — The pathway conclusion is supported subject to explicit limitations.

FAIL — One or more mandatory pathway requirements are not satisfied.

INDETERMINATE — Evidence is insufficient or materially conflicting.

NOT APPLICABLE — The assessed requirement does not apply.

A PASS establishes conformity with the defined pathway assessment requirements.

It does not independently establish source-specific allocation or final energy attribution validity.

57. Pathway Governance Rules

A governed physical energy pathway must remain:

Source-Referenced

Destination-Referenced

Topology-Defined

Interface-Traceable

Operationally Assessed

Direction-Classified

Temporally Explicit

Measurement-Referenced

Mixing-Aware

Uncertainty-Aware

Evidence-Supported

Historically Reconstructable

These conditions establish the pathway foundation for subsequent attribution and allocation.

58. Physical Pathway Relationship Model

FPAM establishes:

Source → Transfer Interface

Transfer Interface → Network Node

Network Node → Network Segment

Network Segment → Destination Interface

Physical Pathway → Operating State

Physical Pathway → Measurement Evidence

Physical Pathway → Conversion Process

Physical Pathway → Storage Relationship

Physical Pathway → Mixing Condition

Physical Pathway → Uncertainty

Physical Pathway → Governance Determination

These relationships must remain machine-readable where implemented digitally.

59. Fifty Governance Requirements

A conforming FPAM implementation must satisfy the following requirements.

Physical Pathway Identity & Connectivity

1. Establish an identifiable pathway assessment.

2. Preserve source identity references.

3. Preserve destination identity references.

4. Identify the applicable attribution boundary.

5. Identify the relevant energy carrier.

6. Preserve transfer interface references.

7. Identify material network nodes and segments.

8. Preserve applicable physical topology versions.

9. Distinguish physical connectivity from observed flow.

10. Identify material alternative physical pathways.

Operating State & Flow Direction

11. Evaluate operational pathway availability.

12. Preserve relevant equipment operating states.

13. Identify material switching or valve configurations.

14. Evaluate applicable flow direction.

15. Distinguish bidirectional capability from observed direction.

16. Preserve relevant generation operating states.

17. Preserve relevant conversion operating states.

18. Identify material pathway interruptions.

19. Preserve applicable physical constraints.

20. Distinguish transfer capacity from actual transfer.

Conversion, Storage & Mixing

21. Identify conversion-mediated pathways.

22. Preserve conversion input and output interface relationships.

23. Identify storage-mediated pathways.

24. Preserve storage charging pathway references.

25. Preserve storage discharging pathway references.

26. Identify material storage source mixing.

27. Identify material network energy mixing.

28. Preserve multi-source pathway relationships.

29. Preserve multi-destination pathway relationships.

30. Prevent unsupported unique physical tracing claims.

Measurement, Modeling & Temporal Evidence

31. Preserve measurement evidence references.

32. Evaluate measurement validity dependencies.

33. Distinguish observed flow from inferred flow.

34. Identify model-supported pathway conclusions.

35. Preserve material model assumptions.

36. Preserve applicable model validation references.

37. Identify the operating interval.

38. Evaluate material temporal resolution limitations.

39. Identify material interval alignment issues.

40. Preserve relevant operating-state transitions.

Evidence, Governance & Continuity

41. Preserve pathway evidence provenance.

42. Evaluate pathway evidence sufficiency.

43. Identify material pathway uncertainty.

44. Preserve material evidence conflicts.

45. Reconcile conflicting evidence where possible.

46. Apply pathway confidence classifications.

47. Apply evidence-supported governance determinations.

48. Preserve original pathway assessment records.

49. Maintain machine-readable cross-module pathway relationships.

50. Produce a Physical Flow Pathway & Evidence Profile.

60. Governance Logic

Source & Destination Identity → Physical Topology → Connectivity → Operating Availability → Flow Direction

→ Conversion & Storage Assessment → Mixing Assessment → Measurement Evidence → Uncertainty →

Governance Determination

For direct pathways:

Identified Source → Dedicated Connection → Operating-State Evidence → Measured Transfer → Identified

Destination

For network-mediated pathways:

Source Interface → Shared Network → Applicable Topology → Operating Conditions → Measurement or

Model Evidence → Pathway Classification

For storage-mediated pathways:

Charging Interface → Storage State → Discharging Interface → Destination Relationship

For governance:

Pathway Evidence → Physical Consistency Assessment → Evidence Sufficiency → Confidence →

Determination

The governance logic must preserve the distinction between possible pathways and observed energy transfers.

61. Governance Outputs

The principal output is:

Physical Flow Pathway & Evidence Profile

Supporting outputs may include:

Physical Pathway Register

Source-to-Destination Connectivity Profile

Direct Connection Assessment

Network-Mediated Pathway Profile

Physical Topology Assessment

Topology Version Register

Operational Pathway Availability Record

Operating-State Evidence Register

Flow Direction Assessment

Bidirectional Pathway Record

Transfer Interface Assessment

Generation Output Pathway Profile

Conversion-Mediated Pathway Profile

Conversion Operating-State Record

Transmission Pathway Assessment

Distribution Pathway Assessment

Storage-Mediated Pathway Profile

Storage Charging Pathway Record

Storage Discharging Pathway Record

Energy Mixing Assessment

Multi-Source Pathway Register

Multi-Destination Pathway Register

Parallel Pathway Assessment

Alternative Pathway Record

Physical Constraint Assessment

Transfer Capacity Distinction Record

Measurement Evidence Dependency Profile

Observed Versus Inferred Flow Record

Model-Supported Pathway Assessment

Model Boundary Condition Record

Model Validation Reference

Temporal Resolution Assessment

Pathway Interval Alignment Record

Pathway Continuity Profile

Pathway Interruption Record

Evidence Provenance Record

Evidence Sufficiency Assessment

Evidence Conflict Record

Evidence Reconciliation Record

Confidence Classification Record

Governance Determination Record

Outputs must preserve the physical, temporal, measurement, modeling, and evidentiary basis for each pathway

conclusion.

62. Minimum Implementation Framework

A minimum FPAM implementation establishes eight governance layers.

Layer 1 — Pathway Identity & Boundary

Establish source, destination, attribution boundary, carrier, and pathway identities.

Layer 2 — Physical Topology

Identify physical connections, nodes, segments, transfer interfaces, and applicable topology versions.

Layer 3 — Operational Availability

Evaluate switching states, equipment conditions, pathway availability, direction, and relevant physical constraints.

Layer 4 — Conversion & Storage Relationships

Identify conversion processes, storage charging and discharging pathways, and material energy mixing conditions.

Layer 5 — Measurement & Model Evidence

Preserve measurement references, model assumptions, observed flow evidence, and relevant uncertainty.

Layer 6 — Temporal Pathway Integrity

Preserve operating intervals, configuration transitions, pathway interruptions, and evidence timing.

Layer 7 — Evidence & Governance Determination

Evaluate evidence sufficiency, conflicts, confidence, physical consistency, and conformity.

Layer 8 — Interoperability & Historical Reconstruction

Produce machine-readable pathway profiles supporting EAAM, AVAM, ACCM, and compatible governance systems.

No specific proprietary technology is mandatory.

63. Cross-Module Boundary

EFAIM — Energy Flow Attribution Identification Module

Establishes source, destination, carrier, boundary, interface, and operating interval identities.

FPAM evaluates the physical pathways connecting those identities.

EAAM — Energy Attribution & Allocation Module

Evaluates source-to-destination attribution and allocation methodologies.

FPAM provides physical pathway evidence and limitations.

AVAM — Attribution Verification & Assurance Module

Evaluates attribution consistency, measurement dependencies, double counting, and evidentiary support.

FPAM provides pathway assessments for verification.

ACCM — Attribution Change & Continuity Module

Preserves topology revisions, original pathway assessments, new evidence, and historical continuity.

FPAM provides the pathway records requiring preservation.

64. Cross-Architecture Boundary

EGS — Energy Generation Standard

Provides generation asset operating-state context.

FPAM evaluates generation output pathway relationships.

ECS — Energy Conversion Standard

Provides conversion process and operating-state context.

FPAM evaluates conversion-mediated pathways.

ETDS — Energy Transmission & Distribution Standard

Provides network topology, configuration, transfer capability, and operating-state context.

FPAM evaluates relevant physical transfer pathways.

ESS — Energy Storage Standard

Provides storage asset and charging/discharging operating-state context.

FPAM evaluates storage-mediated pathways.

EDCS — Energy Delivery & Consumption Standard

Provides delivery and consumption interface context.

FPAM evaluates pathways reaching physical destinations.

ESBS — Energy System Balancing Standard

Provides system balancing and operational flow context.

FPAM uses relevant operating-state evidence.

EMRS — Energy Measurement & Reconciliation Standard

Provides measurement and reconciliation evidence.

FPAM uses these records without replacing measurement governance.

65. Verification Framework

FPAM supports explicit verification tests.

Pathway Identity Test: Is the assessed pathway identifiable?

Connectivity Test: Is the physical connection supported?

Topology Test: Is the applicable network configuration known?

Operating-State Test: Was the pathway operationally available?

Direction Test: Is the claimed flow direction supported?

Capacity Test: Is transfer capacity distinguished from actual transfer?

Conversion Test: Are relevant conversion relationships represented?

Storage Test: Are charging and discharging pathways identified?

Mixing Test: Are material source mixing limitations addressed?

Measurement Test: Are relevant measurements traceable?

Model Test: Are model assumptions and limitations explicit?

Temporal Test: Does the evidence correspond to the assessed interval?

Evidence Test: Is the pathway conclusion sufficiently supported?

Historical Test: Are applicable historical pathway states reconstructable?

66. Non-Conformity Classification

FPAM recognizes:

Pathway Identity Non-Conformity

Physical Connectivity Non-Conformity

Network Topology Non-Conformity

Operating-State Evidence Non-Conformity

Operational Availability Non-Conformity

Flow Direction Non-Conformity

Transfer Interface Non-Conformity

Conversion Pathway Non-Conformity

Storage Pathway Non-Conformity

Energy Mixing Non-Conformity

Multi-Source Pathway Non-Conformity

Physical Constraint Non-Conformity

Capacity Versus Transfer Non-Conformity

Measurement Evidence Non-Conformity

Observed Versus Inferred Flow Non-Conformity

Model Assumption Non-Conformity

Temporal Pathway Non-Conformity

Evidence Sufficiency Non-Conformity

Historical Pathway Integrity Non-Conformity

Governance Determination Non-Conformity

Non-conformities must identify the affected pathway, physical interval, topology, evidence, and requirement.

A pathway non-conformity does not automatically establish equipment failure, energy loss, contractual breach, or legal

liability.

67. Practical Use Case 1 — Connected Generator Without an Operational

Transfer Pathway

Situation

A solar generation facility is physically connected to an industrial facility through a dedicated electrical connection.

The connection has a rated transfer capability of:

5 MW

The industrial facility reports:

20 MWh of electricity consumption during a defined operating interval

The operator claims that the solar facility physically supplied the full 20 MWh.

However, the connection was isolated by an open switching device throughout the assessed interval.

The industrial facility received electricity through an alternative network connection.

FPAM Assessment

FPAM identifies:

Physical Connectivity: Established

Rated Transfer Capability: 5 MW

Operational Pathway Availability: Not Established

Switching State: Open

Observed Transfer Through Dedicated Connection: Not Supported

The dedicated connection existed physically but was unavailable for energy transfer during the assessed interval.

Its rated capacity does not establish actual delivery.

Governance Determination

FAIL — The Claimed Physical Transfer Pathway Was Not Operationally Available During the Assessed

Interval.

Methodological Lesson

A physical connection and rated transfer capability do not establish actual energy flow when operating-state

evidence contradicts the claimed transfer.

68. Practical Use Case 2 — Shared Electricity Network Presented as a

Unique Physical Route

Situation

Three electricity generators inject power into an interconnected network.

Two industrial consumers withdraw electricity from different network locations.

The network contains several parallel transmission pathways.

The operator has measurements of generator injections and consumer withdrawals.

A reporting system assigns one generator to one consumer and describes a single network route as the exact

physical pathway followed by that generator's electricity.

No physical network model or measurement evidence establishes a unique source-specific route.

FPAM Assessment

FPAM identifies:

Generator Injections: Measured

Consumer Withdrawals: Measured

Network Connectivity: Established

Multiple Physical Pathways: Present

Unique Source-Specific Physical Route: Not Established

The measured injections and withdrawals support network-level physical energy relationships.

They do not establish that electricity from one generator traveled exclusively along the claimed route to the selected

consumer.

A defined attribution or allocation methodology may subsequently be evaluated under EAAM.

Governance Determination

FAIL — A Unique Physical Source-to-Destination Route Is Claimed Without Sufficient Supporting Evidence.

Methodological Lesson

Measured network injections and withdrawals do not independently establish a uniquely traceable physical

route between a particular generator and consumer.

69. Temporal Integrity & Historical Pathway Assessment

FPAM requires explicit separation of:

Physical Valid Time

When the network configuration, equipment state, and physical pathway conditions applied.

Evidence Availability Time

When supporting topology, operating-state, or measurement evidence became available.

Assessment Issuance Time

When the pathway determination was issued.

A historical as-of assessment must use evidence available by the defined cutoff.

Later topology corrections, switching records, or measurement evidence may support a separately identified

retrospective reassessment.

Original pathway assessments and determinations must remain preserved.

ACCM governs historical pathway change and continuity records.

70. GIE™ Compatibility

FPAM is designed for methodological compatibility with GIE™ — Governance Intelligence Engine.

Potential machine-readable objects include:

Physical Pathway

Source Interface

Destination Interface

Network Topology

Network Node

Network Segment

Operating State

Flow Direction

Conversion Pathway

Storage Charging Pathway

Storage Discharging Pathway

Energy Mixing Condition

Measurement Evidence

Model Reference

Physical Constraint

Operating Interval

Evidence Reference

Confidence Classification

Governance Determination

A compatible implementation may support automated checks for:

Disconnected Claimed Pathways

Incompatible Topology Versions

Missing Operating-State Evidence

Unsupported Flow Directions

Capacity Presented as Actual Transfer

Unverified Conversion Pathways

Incomplete Storage Pathway Relationships

Unrecognized Energy Mixing

Modeled Flow Presented as Direct Observation

Historical Pathway Assessments Using Future Evidence

GIE-Compatible: Yes establishes methodological and architectural compatibility.

It does not establish completed production integration, validated software behavior, or external certification.

71. Canonical Boundary

FPAM — Flow Pathway Assessment Module governs the evidence-supported assessment of physical energy

transfer pathways, network connectivity, operating availability, flow direction, conversion relationships,

storage intermediation, energy mixing, measurement dependencies, and temporal pathway validity.

It establishes methodological requirements for:

Physical Pathway Identity

Network Topology

Physical Connectivity

Operational Availability

Flow Direction

Transfer Interfaces

Generation Output Pathways

Conversion-Mediated Pathways

Transmission & Distribution Pathways

Storage-Mediated Pathways

Energy Mixing

Multi-Source & Multi-Destination Relationships

Measurement Evidence

Model-Supported Assessment

Physical Constraints

Temporal Integrity

Evidence Sufficiency

Governance Determination

FPAM does not independently establish source-specific allocation, attribution quantity conservation, contractual

conformity, or final attribution validity.

Those responsibilities remain assigned to EAAM, AVAM, and ACCM.

Its principal governance output is:

Physical Flow Pathway & Evidence Profile

72. Canonical Closing Statement

A physical energy pathway cannot be considered verified merely because a connection exists between an

energy source and a destination.

A generator may be connected to a network without operating.

A transmission pathway may be physically present but unavailable because of switching or maintenance.

A storage system may connect charging and discharging intervals without preserving individually identifiable source

energy.

And an interconnected electricity network may support multiple simultaneous physical pathways without allowing a

unique source-to-consumer route to be established.

FPAM establishes the methodological structure required to distinguish these conditions.

It connects source and destination identities with physical topology, operating states, transfer interfaces, flow direction,

conversion and storage relationships, measurement evidence, and pathway uncertainty.

It provides the physical pathway foundation required for subsequent attribution, allocation, verification, and historical

continuity.

FPAM ensures that physical energy flow pathways are assessed according to actual system configuration,

operating conditions, and supporting evidence rather than inferred solely from network connectivity, nominal

transfer capability, assumed routes, or contractual source relationships.

EAAM — Energy Attribution & Allocation Module

Architecture: EGA™ — Energy Governance Architecture

Parent Standard: Energy Flow Attribution Standard (EFAS)

Category: Physical Energy Lifecycle Governance

Subcategory: Physical Energy Flow Attribution, Origin-to-Destination Traceability & Allocation Governance

Type: Core Module

Governed Space: Physical Energy Source Attribution, Destination Attribution, Direct Physical Attribution, Network-

Mediated Attribution, Multi-Source Energy Allocation, Multi-Destination Allocation, Energy Mixing, Storage-Mediated

Attribution, Conversion Attribution, Temporal Energy Matching, Proportional & Chronological Allocation, Model-Based

Attribution, Physical Quantity Conservation, Attribution Residuals, Unattributed Energy, Allocation Uncertainty,

Attribution Method Versioning, Evidence Provenance, Historical Allocation Integrity & Evidence-Based Energy

Attribution Governance

Module ID: EGA-EFAS-EAAM-03

Origin ID: OOF-EGA-EFAS-EAAM

Version: 1.0

Status: Canonical Open

Effective Date: 27.10.2026

Authority: OOF® — OriginOpen® Foundation

Protection: (MIP) Methodological Intellectual Property

Compatibility: Methodology OS — Modular Compatibility

GIE-Compatible: Yes

AI-Readable: Yes

Canonical Language: UCL — Universal Canonical Language (English)

1. Canonical Definition

EAAM — Energy Attribution & Allocation Module is the third Core Module within Energy Flow Attribution

Standard (EFAS), operating under EGA™ — Energy Governance Architecture.

EAAM establishes the methodological governance requirements for attributing physical energy quantities to

identifiable sources, transfer relationships, conversion processes, storage histories, and destinations.

It governs the distinction between directly supported physical attribution, measurement-supported attribution, model-

based attribution, methodological allocation, contractual association, certificate-based attribute allocation, and

unresolved attribution.

EAAM recognizes that assigning an energy quantity to a source does not independently demonstrate that the quantity

physically originated from that source or followed an individually identifiable pathway to its destination.

An interconnected electricity network may contain multiple simultaneous injections and withdrawals.

A shared thermal network may combine heat from several production facilities.

A storage system may receive energy from multiple sources before discharging energy during a later interval.

A conversion process may transform an energy carrier while introducing losses and changing the physical relationship

between input and output.

An allocation methodology may produce mathematically consistent source shares without establishing unique

physical source-to-destination tracing.

EAAM therefore requires attribution methods to be explicitly identified, physically bounded, temporally applicable,

reproducible, uncertainty-aware, and consistent with available energy quantities.

Its principal governance sequence is:

Identified Attribution Objects → Physical Pathway Evidence → Available Energy Quantity → Attribution

Method → Source & Destination Allocation → Loss & Storage Treatment → Residual Assessment →

Uncertainty → Attribution Determination

EAAM receives identity and boundary references from EFAIM and physical pathway evidence from FPAM.

It provides attribution and allocation records for verification under AVAM and historical preservation under ACCM.

Its principal governance output is the Energy Attribution & Allocation Profile.

2. Operational Role

EAAM governs the methodological assignment of energy quantities to sources and destinations.

It establishes requirements for:

Attribution object identification.

Physical attribution classification.

Source-specific attribution.

Destination-specific attribution.

Direct physical attribution.

Network-mediated attribution.

Multi-source allocation.

Multi-destination allocation.

Energy mixing.

Storage-mediated attribution.

Conversion-mediated attribution.

Proportional allocation.

Chronological allocation.

Model-based attribution.

Temporal matching.

Energy quantity availability.

Loss treatment.

Attribution residuals.

Unattributed energy.

Allocation uncertainty.

Attribution method versioning.

Evidence provenance.

Governance determination.

EAAM determines whether an attribution or allocation is methodologically defined and supported within its stated

physical and evidentiary limits.

It does not independently certify the physical origin of every attributed energy unit.

3. Operational Question

How can physical energy quantities be assigned to identifiable sources and destinations through direct

evidence, measurement-supported relationships, models, or explicit allocation methods while preserving

physical quantity limits, conversion and storage histories, temporal consistency, uncertainty, and the

distinction between actual physical tracing and methodological attribution?

4. Position in Architecture Governance Flow

Energy Governance Architecture (EGA™)

Energy Source & Origin → Energy Generation → Energy Conversion → Energy Transmission & Distribution ↔

Energy Storage → Energy Delivery & Consumption

Energy Flow Attribution Standard (EFAS)

EFAIM — Energy Flow Attribution Identification Module

↓

FPAM — Flow Pathway Assessment Module

↓

EAAM — Energy Attribution & Allocation Module

↓

AVAM — Attribution Verification & Assurance Module

↓

ACCM — Attribution Change & Continuity Module

EAAM converts identified physical relationships and pathway evidence into explicitly classified attribution and

allocation records.

Its outputs remain subject to independent verification under AVAM.

5. Governed Space

Physical Energy Source Attribution, Destination Attribution, Direct Physical Attribution, Network-Mediated

Attribution, Multi-Source Energy Allocation, Multi-Destination Allocation, Energy Mixing, Storage-Mediated

Attribution, Conversion Attribution, Temporal Energy Matching, Proportional & Chronological Allocation,

Model-Based Attribution, Physical Quantity Conservation, Attribution Residuals, Unattributed Energy,

Allocation Uncertainty, Attribution Method Versioning, Evidence Provenance, Historical Allocation Integrity &

Evidence-Based Energy Attribution Governance

The governed space begins with an identifiable physical energy quantity and an applicable attribution relationship.

It includes the methodology used to associate that quantity with one or more sources and destinations.

It concludes with a classified, evidence-supported attribution record and explicit representation of unresolved

quantities.

6. Governed Object

The primary Governed Object is:

An identifiable energy attribution or allocation record linking a defined physical energy quantity to one or

more sources, destinations, attribution boundaries, operating intervals, physical pathway references,

allocation methods, loss treatments, uncertainty, supporting evidence, and governance determinations.

Relevant fields include:

Attribution Allocation ID

Source Reference

Destination Reference

Attribution Boundary ID

Energy Carrier ID

Operating Interval

Available Energy Quantity

Attributed Energy Quantity

Unattributed Energy Quantity

Attribution Method ID

Attribution Method Version

Physical Pathway Reference

Loss Treatment Reference

Storage or Conversion Reference

Uncertainty Reference

Evidence References

Confidence Classification

Governance Determination

7. Scope

EAAM applies to attribution and allocation involving:

Electricity

Thermal Energy

Steam

Natural Gas

Hydrogen

Liquid Energy Carriers

Mechanical Energy

Stored Energy

Converted Energy

Multi-Carrier Energy Systems

It applies to:

Dedicated Physical Transfers

Shared Energy Networks

Multi-Source Generation Systems

Transmission & Distribution Networks

Energy Conversion Facilities

Storage Systems

Aggregated Consumption Systems

Multi-Destination Delivery Systems

8. Foundational Principle

Energy attribution and allocation must be governed by identifiable physical quantities, explicit source and

destination relationships, applicable operating intervals, documented methods, physical quantity constraints,

and supporting evidence—not merely contractual association, declared origin, or numerical assignment.

Allocated Energy ≠ Individually Traced Energy.

Methodological Consistency ≠ Physical Source Certainty.

Contractual Source Association ≠ Verified Physical Delivery.

Energy Mixing ≠ Preservation of Individually Identifiable Source Units.

Complete Allocation ≠ Complete Physical Evidence.

9. Attribution Versus Allocation

EAAM distinguishes attribution from allocation.

Attribution establishes an evidence-supported relationship between an energy quantity and an identified source,

process, or destination.

Allocation assigns an energy quantity according to an explicit methodological rule.

An allocation may support an attribution conclusion within a defined methodological scope.

However, an allocation does not automatically establish a directly observed physical transfer relationship.

10. Attribution Classification

EAAM recognizes:

Direct Physical Attribution

Measurement-Supported Network Attribution

Model-Based Physical Attribution

Methodological Allocation

Contractual Association

Certificate-Based Attribute Allocation

Unresolved Attribution

The classification must reflect the actual evidentiary basis.

11. Direct Physical Attribution

Direct physical attribution may be supported when sufficiently constrained physical evidence establishes the

relationship between an identifiable source and destination.

Relevant conditions include:

Identifiable Source

Identifiable Destination

Defined Physical Boundary

Supported Transfer Pathway

Applicable Operating Interval

Relevant Measurements

Material Alternative Inputs Addressed

Direct physical attribution must remain limited to the supported relationship.

12. Measurement-Supported Attribution

Measurement-supported attribution uses physical measurements to establish or constrain source-to-destination

energy relationships.

Relevant measurements may include:

Generation Output

Network Injection

Network Withdrawal

Storage Charging

Storage Discharging

Conversion Input

Conversion Output

Final Delivery

Measured quantities must not be interpreted as proving source-specific delivery beyond their evidentiary scope.

13. Network-Mediated Attribution

Network-mediated attribution concerns energy quantities transferred through interconnected infrastructure.

EAAM must distinguish:

Measured Source Injection

Measured Destination Withdrawal

Network-Level Physical Relationship

Methodologically Assigned Source Contribution

A source-to-destination allocation through a shared network must not automatically be classified as direct physical

tracing.

14. Model-Based Attribution

Model-based attribution may use physical network models, operational measurements, or analytical methods.

Relevant fields include:

Model ID

Model Version

Input Data

Physical Assumptions

Allocation Logic

Validation References

Uncertainty

Model-derived attribution must remain distinguishable from directly measured physical transfer.

15. Methodological Allocation

Methodological allocation assigns quantities according to explicit rules.

Possible methods include:

Proportional Allocation

Chronological Allocation

Measured Contribution Allocation

Model-Based Allocation

Inventory-Based Allocation

Hybrid Allocation

The method must be appropriate to the assessed physical boundary and attribution purpose.

16. Attribution Method Identity

Every material attribution must reference an identifiable method.

Relevant fields include:

Method ID

Method Name

Method Version

Applicable Energy Carrier

Applicable Physical Boundary

Input Evidence

Allocation Rules

Loss Treatment

Uncertainty Treatment

Limitations

The method must remain reproducible.

17. Attribution Method Selection

Method selection must consider:

Physical System Characteristics

Source and Destination Identities

Network Topology

Energy Mixing

Storage Intermediation

Conversion Processes

Measurement Availability

Temporal Resolution

Intended Attribution Claim

A method must not be selected solely because it produces a preferred attribution outcome.

18. Methodological Applicability

An attribution method may be valid for one physical system or reporting purpose but unsuitable for another.

EAAM requires the applicable scope to be explicit.

A method designed for annual accounting must not automatically be treated as evidence of instantaneous physical

source-to-destination delivery.

19. Source-Specific Attribution

Source-specific attribution assigns an energy quantity or share to an identifiable source.

Relevant fields include:

Source ID

Attributed Quantity

Attribution Interval

Attribution Method

Physical Evidence References

Uncertainty

The assigned quantity must remain consistent with the supported available energy.

20. Destination-Specific Attribution

Destination-specific attribution assigns an energy quantity or share to an identifiable destination.

Relevant fields include:

Destination ID

Attributed Quantity

Delivery Boundary

Operating Interval

Attribution Method

Measurement References

The destination must remain distinguishable from a commercial account or reporting entity.

21. Multi-Source Allocation

A destination may receive energy associated with multiple sources.

EAAM must identify the relevant source population.

The allocation must preserve:

Source Contributions

Allocation Fractions

Attributed Quantities

Unattributed Quantities

Applicable Operating Interval

Material unknown contributions must remain explicit.

22. Multi-Destination Allocation

A source may supply energy into a system serving multiple destinations.

EAAM must identify the relevant destination population.

The allocation must prevent the same available source quantity from being assigned repeatedly beyond its supported

physical availability.

23. Proportional Allocation

Proportional allocation assigns energy according to defined contribution shares.

For source contributions (E_i), the proportional share of source (i) is:

[ p_i = \frac{E_i}{\sum_j E_j} ]

Where:

(p_i) — Source allocation fraction.

(E_i) — Eligible energy contribution from source (i).

The denominator must represent the defined eligible source population.

The method must preserve its assumptions and limitations.

24. Proportional Quantity Assignment

For an eligible output quantity (E_{\text{out}}), proportional allocation may be expressed as:

[ A_i = p_i E_{\text{out}} ]

Where:

(A_i) — Quantity allocated to source (i).

(p_i) — Applicable source fraction.

(E_{\text{out}}) — Eligible output quantity after relevant physical accounting.

This equation describes a methodological allocation.

It does not independently establish direct physical tracing.

25. Chronological Allocation

Chronological allocation assigns quantities according to a defined time-order rule.

Possible conventions include:

First-In, First-Out

Last-In, First-Out

Time-Weighted Allocation

Defined Charging Sequence

Chronological allocation must remain explicitly classified as a methodological convention unless supported by

additional physical evidence.

26. Chronological Method Limitations

A chronological allocation may be useful for inventory accounting.

However, it does not necessarily represent the physical identity of energy units within a mixed storage system.

EAAM requires the distinction between inventory convention and physical source tracing to remain explicit.

27. Measured Contribution Allocation

Measured contribution allocation uses verified physical quantities as allocation inputs.

Relevant conditions include:

Compatible Measurement Boundaries

Compatible Operating Intervals

Valid Measurement References

Explicit Loss Treatment

Defined Allocation Population

The method must not exceed the evidentiary scope of the measurements.

28. Hybrid Attribution Methods

Hybrid methods may combine:

Measurements

Physical Models

Proportional Allocation

Chronological Rules

Inventory Accounting

Each methodological component must remain identifiable.

A hybrid method must preserve the assumptions and limitations introduced by every component.

29. Energy Mixing

Energy mixing may prevent individually identifiable source-to-destination tracing.

EAAM must identify the applicable mixing condition.

Relevant classifications include:

Unmixed Dedicated Transfer

Partially Mixed System

Fully Shared Energy Inventory

Network-Mediated Mixing

Unresolved Mixing State

The classification must be consistent with available physical evidence.

30. Allocation Under Mixing

Where energy from multiple sources is mixed, EAAM may apply an explicit allocation methodology.

The resulting allocation must not be represented as direct physical tracing unless independent evidence supports that

conclusion.

Material mixing limitations must remain attached to the attribution record.

31. Storage-Mediated Attribution

Storage-mediated attribution connects charging inputs to later discharged energy.

EAAM must preserve:

Charging Source References

Charging Quantities

Charging Intervals

Stored-Energy State

Discharging Quantities

Discharging Intervals

Storage Loss Treatment

Allocation Method

Storage attribution must account for temporal separation and relevant physical losses.

32. Storage Inventory Attribution

A storage inventory may contain energy associated with several charging sources.

EAAM requires the attribution model to define how source shares are represented within the inventory.

Possible methods include:

Proportional Inventory

Chronological Inventory

Separate Physically Verified Compartments

Model-Based Inventory

The chosen method must reflect the physical system and available evidence.

33. Storage Charging Attribution

Charging attribution identifies the source quantities entering the storage boundary.

Relevant inputs include:

Source ID

Charging Energy Quantity

Charging Interval

Measurement Reference

Allocation Classification

Charging attribution does not independently establish the composition of later discharged energy.

34. Storage Discharge Attribution

Discharge attribution assigns eligible discharged energy quantities to source references according to the applicable

method.

The method must consider:

Available Stored Energy

Source Inventory Shares

Discharge Quantity

Loss Treatment

Applicable Interval

Attributed discharge must remain within physically supported available quantities.

35. Storage Loss Allocation

Storage processes may introduce losses.

EAAM must identify whether losses are allocated:

Proportionally

Chronologically

According to a Physical Model

According to Another Explicit Method

Loss allocation must not silently create additional attributed energy.

36. Conversion-Mediated Attribution

Conversion-mediated attribution connects input energy sources to output energy quantities.

EAAM must preserve:

Input Source

Input Carrier

Input Quantity

Conversion Process

Output Carrier

Output Quantity

Conversion Loss Reference

Attribution Method

Input and output quantities must remain physically distinguishable.

37. Conversion Attribution Limits

A conversion process may contain multiple energy inputs and outputs.

EAAM must identify the allocation basis used to associate output quantities with input sources.

The method must account for material energy transformations and losses.

A numerical association must not be presented as direct physical source tracing without supporting evidence.

38. Multi-Carrier Attribution

Multi-carrier systems may involve electricity, heat, hydrogen, gas, or other energy carriers.

EAAM requires carrier-specific quantities and conversion relationships to remain identifiable.

A common energy unit does not remove the need to account for physical conversion boundaries and losses.

39. Temporal Attribution

Attribution must apply to a defined operating interval.

EAAM must identify:

Source Interval

Destination Interval

Measurement Interval

Allocation Interval

Storage Interval Where Applicable

Temporal attribution must remain consistent with the physical process.

40. Temporal Matching

Temporal matching may require alignment of generation, transfer, storage, and consumption intervals.

EAAM must distinguish:

Simultaneous Physical Transfer

Storage-Mediated Delayed Transfer

Time-Aggregated Allocation

Contractual Period Matching

Annual or monthly quantity matching does not independently establish simultaneous physical delivery.

41. Attribution Interval Resolution

An attribution method may operate at:

Sub-Hourly Resolution

Hourly Resolution

Daily Resolution

Monthly Resolution

Annual Resolution

The selected resolution must be appropriate to the intended claim.

Aggregation must not conceal material temporal mismatches.

42. Available Energy Quantity

Every attribution must identify the energy quantity available for allocation.

Relevant inputs may include:

Measured Source Output

Measured Network Injection

Available Storage Discharge

Conversion Output

Reconciled Physical Quantity

The available quantity must correspond to the defined physical boundary and interval.

43. Attribution Quantity Conservation

For a defined attribution scope:

[ E_{\text{available}} = E_{\text{attributed}} + E_{\text{unattributed}} ]

Where:

(E_{\text{available}}) — Physically supported energy available for attribution.

(E_{\text{attributed}}) — Energy assigned under the applicable attribution method.

(E_{\text{unattributed}}) — Energy not assigned under that method.

This relationship applies after relevant physical accounting, losses, storage changes, and boundary adjustments.

It does not independently establish source-specific physical tracing.

44. Source Quantity Limitation

The total quantity attributed to a source must not exceed its physically supported eligible contribution under the

applicable method.

Where multiple destinations are involved, the allocation must preserve the total eligible source quantity.

Unsupported excess attribution must remain explicitly classified.

45. Destination Quantity Limitation

The total energy attributed to a destination must remain consistent with the applicable physical delivery quantity and

attribution boundary.

Where source allocations exceed the supported destination quantity, the discrepancy must remain identifiable.

46. Attribution Residuals

An attribution residual represents an unresolved difference between eligible energy and allocated energy within a

defined attribution relationship.

Relevant fields include:

Residual Quantity

Residual Direction

Applicable Boundary

Operating Interval

Potential Explanation

Evidence Status

A residual must not automatically be classified as physical energy loss.

47. Unattributed Energy

Energy may remain unattributed because of:

Unknown Source Contributions

Incomplete Measurements

Energy Mixing

Insufficient Temporal Resolution

Unresolved Storage History

Unsupported Allocation Assumptions

Unattributed quantities must remain explicit.

They must not be silently assigned to a preferred source.

48. Double-Counting Control

EAAM must prevent the same eligible physical energy quantity from being allocated repeatedly beyond its supported

availability.

Potential risks include:

Repeated Source Allocation

Overlapping Destination Allocation

Storage Charging and Discharging Duplication

Internal Transfer Duplication

Overlapping Reporting Boundaries

The allocation method must identify and control relevant duplication risks.

49. Physical Versus Attribute Double Counting

Physical energy quantity double counting differs from duplicate claims to energy attributes.

EAAM governs the consistency of physical quantity attribution.

Certificate issuance, transfer, cancellation, and exclusive attribute ownership may depend on external schemes.

EAAM must preserve this distinction.

50. Contractual Attribution Distinction

A contractual energy purchase may associate an energy quantity with a supplier or generation source.

Such association does not independently establish a physical transfer pathway.

EAAM must distinguish contractual quantities from physically supported source allocations.

51. Certificate-Based Attribution Distinction

Energy certificates may support claims about energy attributes under applicable schemes.

They do not automatically establish the physical route of delivered energy.

EAAM must preserve certificate-based attribute allocation as a distinct classification.

52. Allocation Uncertainty

Allocation uncertainty may arise from:

Measurement Uncertainty

Model Assumptions

Incomplete Source Records

Energy Mixing

Storage Inventory Assumptions

Temporal Aggregation

Loss Allocation

Material uncertainty must remain explicit.

53. Physical Uncertainty Versus Methodological Uncertainty

EAAM distinguishes:

Measurement Uncertainty

Physical System Uncertainty

Allocation Method Uncertainty

Governance Confidence

A mathematically exact allocation may still depend on assumptions that prevent a confirmed physical attribution.

These dimensions must remain separately represented.

54. Attribution Evidence Provenance

Every material attribution must preserve:

Evidence ID

Evidence Source

Physical Valid Time

Evidence Availability Time

Assessment Issuance Time

Attribution Method Version

Measurement References

Physical Pathway References

Integrity References

Evidence provenance must remain traceable.

55. Attribution Evidence Sufficiency

EAAM evaluates whether evidence supports the proposed attribution.

Relevant questions include:

Is the Source Identified?

Is the Destination Identified?

Is the Attribution Boundary Defined?

Is the Physical Pathway Classification Supported?

Is the Available Quantity Established?

Is the Allocation Method Explicit?

Are Relevant Losses Addressed?

Are Operating Intervals Compatible?

Are Unattributed Quantities Preserved?

Are Material Assumptions Documented?

Insufficient evidence must remain explicit.

56. Attribution Evidence Conflict

Conflicts may arise from:

Incompatible Source Measurements

Contradictory Destination Quantities

Different Storage Inventory Records

Conflicting Allocation Methods

Inconsistent Operating Intervals

Overlapping Attribution Claims

Material conflicts must remain preserved until reconciled.

57. Evidence Reconciliation

Evidence reconciliation may involve:

Source Quantity Comparison

Destination Quantity Comparison

Storage Inventory Review

Allocation Method Review

Temporal Alignment Assessment

Measurement Reconciliation

Reconciliation must preserve the original evidence and justification.

58. Confidence Classification

EAAM applies the EGA™ confidence framework.

Confirmed — Sufficient applicable evidence supports the specific attribution conclusion.

Reconciled — The conclusion is supported through justified evidence reconciliation.

Estimated — The attribution relies materially on explicit allocation assumptions, modeling, or estimation.

Conflicted — Material evidence supports incompatible attribution conclusions.

Unknown — Available evidence is insufficient.

Confidence must apply to the actual attribution classification.

A confirmed calculation under a proportional allocation method must not be represented as confirmed direct physical

tracing.

59. Governance Determination

EAAM supports:

PASS — Applicable attribution and allocation requirements are satisfied.

CONDITIONAL — The attribution is supported subject to explicit limitations.

FAIL — One or more mandatory attribution or allocation requirements are not satisfied.

INDETERMINATE — Evidence is insufficient or materially conflicting.

NOT APPLICABLE — The assessed requirement does not apply.

A PASS establishes methodological attribution conformity.

It does not independently establish direct physical source-to-destination tracing.

60. Fifty Governance Requirements

A conforming EAAM implementation must satisfy the following requirements.

Attribution Identity & Method

1. Establish an identifiable attribution or allocation record.

2. Preserve source identity references.

3. Preserve destination identity references.

4. Identify the applicable attribution boundary.

5. Identify the relevant energy carrier.

6. Preserve the operating interval.

7. Classify the attribution relationship.

8. Identify the applicable attribution method.

9. Preserve the attribution method version.

10. Distinguish physical attribution from methodological allocation.

Source, Destination & Allocation

11. Identify eligible source quantities.

12. Identify eligible destination quantities.

13. Preserve source-specific attribution records.

14. Preserve destination-specific attribution records.

15. Identify multi-source allocation populations.

16. Identify multi-destination allocation populations.

17. Preserve proportional allocation rules where used.

18. Preserve chronological allocation rules where used.

19. Preserve model-based attribution assumptions.

20. Preserve hybrid allocation method components where used.

Conversion, Storage & Temporal Attribution

21. Identify material energy mixing conditions.

22. Preserve storage charging source references.

23. Preserve storage discharge attribution relationships.

24. Identify the applicable storage inventory method.

25. Preserve storage loss allocation rules.

26. Identify conversion-mediated attribution relationships.

27. Preserve conversion input and output quantities.

28. Preserve carrier-specific conversion references.

29. Evaluate temporal attribution compatibility.

30. Distinguish simultaneous physical transfer from time-aggregated allocation.

Quantity Conservation & Uncertainty

31. Establish the available energy quantity.

32. Preserve attributed energy quantities.

33. Preserve unattributed energy quantities.

34. Evaluate attribution quantity conservation.

35. Prevent unsupported excess source attribution.

36. Prevent unsupported excess destination attribution.

37. Identify material attribution residuals.

38. Control physical quantity double counting.

39. Preserve material allocation assumptions.

40. Evaluate attribution uncertainty.

Evidence, Governance & Continuity

41. Preserve measurement evidence references.

42. Preserve physical pathway evidence references.

43. Distinguish contractual association from physical attribution.

44. Distinguish certificate-based attribute allocation from physical tracing.

45. Preserve attribution evidence provenance.

46. Evaluate evidence sufficiency and material conflicts.

47. Apply attribution confidence classifications.

48. Apply evidence-supported governance determinations.

49. Preserve original allocation records, method versions, and machine-readable cross-module relationships.

50. Produce an Energy Attribution & Allocation Profile.

61. Governance Logic

Source & Destination Identity → Physical Pathway Evidence → Eligible Energy Quantity → Attribution Method

→ Allocation Calculation → Storage & Conversion Treatment → Residual Assessment → Uncertainty →

Governance Determination

For direct attribution:

Identified Source → Supported Physical Transfer → Measured Eligible Quantity → Identified Destination

For multi-source allocation:

Eligible Source Quantities → Allocation Fractions → Destination Quantity → Attributed & Unattributed Shares

For storage-mediated attribution:

Charging Sources → Storage Inventory Method → Loss Treatment → Eligible Discharge → Source Allocation

For governance:

Attribution Evidence → Method Applicability → Quantity Consistency → Uncertainty → Confidence →

Determination

The governance logic must preserve the distinction between observed physical transfer and calculated allocation.

62. Governance Outputs

The principal output is:

Energy Attribution & Allocation Profile

Supporting outputs may include:

Attribution Method Register

Attribution Classification Record

Direct Physical Attribution Profile

Measurement-Supported Attribution Record

Network-Mediated Attribution Profile

Model-Based Attribution Assessment

Methodological Allocation Register

Source-Specific Attribution Record

Destination-Specific Attribution Record

Multi-Source Allocation Profile

Multi-Destination Allocation Profile

Proportional Allocation Record

Chronological Allocation Record

Measured Contribution Allocation Record

Hybrid Attribution Method Record

Energy Mixing Assessment

Storage Attribution Profile

Storage Inventory Attribution Record

Storage Charging Attribution Record

Storage Discharge Attribution Record

Storage Loss Allocation Record

Conversion Attribution Profile

Multi-Carrier Attribution Record

Temporal Attribution Assessment

Temporal Matching Record

Attribution Resolution Record

Available Energy Quantity Record

Quantity Conservation Assessment

Source Quantity Limitation Assessment

Destination Quantity Limitation Assessment

Attribution Residual Register

Unattributed Energy Register

Double-Counting Control Record

Contractual Attribution Distinction Record

Certificate Attribution Distinction Record

Allocation Uncertainty Assessment

Evidence Provenance Record

Evidence Sufficiency Assessment

Evidence Conflict Record

Evidence Reconciliation Record

Confidence Classification Record

Governance Determination Record

Outputs must preserve the method, physical scope, quantities, assumptions, evidence, uncertainty, and classification

of each material attribution.

63. Minimum Implementation Framework

A minimum EAAM implementation establishes eight governance layers.

Layer 1 — Attribution Identity & Boundary

Establish source, destination, carrier, attribution boundary, and operating interval references.

Layer 2 — Physical Pathway Evidence

Retrieve applicable pathway classifications, operating-state evidence, and physical limitations from FPAM.

Layer 3 — Available Quantity Determination

Identify eligible source and destination quantities using applicable measurement and reconciliation evidence.

Layer 4 — Attribution Method Selection

Select and register the applicable direct attribution, allocation, or model-based method, including version and

limitations.

Layer 5 — Allocation Execution

Apply the method to eligible quantities, preserving source shares, destination shares, and relevant calculations.

Layer 6 — Storage, Conversion & Residual Treatment

Account for material storage histories, conversion relationships, losses, unattributed quantities, and allocation

residuals.

Layer 7 — Evidence & Governance Determination

Evaluate method applicability, quantity consistency, uncertainty, evidence sufficiency, confidence, and conformity.

Layer 8 — Interoperability & Historical Continuity

Produce machine-readable attribution profiles for AVAM, ACCM, and compatible governance systems.

No specific proprietary technology is mandatory.

64. Cross-Module Boundary

EFAIM — Energy Flow Attribution Identification Module

Establishes source, destination, boundary, carrier, quantity, and interval identities.

EAAM uses these identities for attribution.

FPAM — Flow Pathway Assessment Module

Evaluates physical pathways, network topology, operating conditions, and energy mixing.

EAAM uses pathway evidence without independently replacing physical pathway assessment.

AVAM — Attribution Verification & Assurance Module

Evaluates attribution consistency, quantity conservation, double counting, evidence sufficiency, and assurance.

EAAM provides attribution methods, calculations, and supporting records for verification.

ACCM — Attribution Change & Continuity Module

Preserves attribution method revisions, original allocation records, historical assessments, and retrospective changes.

EAAM provides the attribution records requiring preservation.

65. Cross-Architecture Boundary

ESOS — Energy Source & Origin Standard

Provides source and origin context.

EAAM must not independently certify energy origin.

EGS — Energy Generation Standard

Provides generation output and operating evidence.

EAAM uses eligible generation quantities.

ECS — Energy Conversion Standard

Provides conversion process and output evidence.

EAAM governs attribution across conversion relationships.

ETDS — Energy Transmission & Distribution Standard

Provides network configuration and transfer evidence.

EAAM uses relevant network-mediated attribution constraints.

ESS — Energy Storage Standard

Provides storage state, charging, discharging, and loss evidence.

EAAM governs allocation of eligible storage discharge to source references.

EDCS — Energy Delivery & Consumption Standard

Provides delivery and consumption evidence.

EAAM uses eligible destination quantities.

ESBS — Energy System Balancing Standard

Provides balancing context and relevant operating relationships.

EAAM must not replace system balancing governance.

EMRS — Energy Measurement & Reconciliation Standard

Provides measurement and reconciliation evidence.

EAAM uses these records without replacing metrological or physical accounting governance.

EELS — Energy Efficiency & Loss Standard

Governs specialized efficiency and physical loss assessment.

EAAM uses applicable loss evidence without independently determining loss mechanisms.

ECDS — Energy Claims & Disclosure Standard

Governs downstream energy claims and disclosures.

EAAM supplies attribution evidence and limitations.

66. Verification Framework

EAAM supports explicit verification tests.

Attribution Identity Test: Are the source, destination, boundary, and carrier identifiable?

Method Test: Is the attribution method explicit and reproducible?

Pathway Test: Is the attribution classification consistent with physical pathway evidence?

Quantity Test: Are eligible energy quantities established?

Allocation Test: Are allocation calculations consistent with the selected method?

Mixing Test: Are material energy mixing limitations addressed?

Storage Test: Is storage-mediated attribution supported by a defined inventory method?

Conversion Test: Are relevant input-output relationships preserved?

Temporal Test: Are operating intervals compatible?

Residual Test: Are unattributed quantities and residuals explicit?

Double-Counting Test: Are repeated allocations controlled?

Uncertainty Test: Are material assumptions and uncertainty represented?

Evidence Test: Is the attribution supported by sufficient evidence?

Historical Test: Are original attribution records and method versions reconstructable?

67. Non-Conformity Classification

EAAM recognizes:

Attribution Method Identity Non-Conformity

Physical Attribution Classification Non-Conformity

Source Quantity Non-Conformity

Destination Quantity Non-Conformity

Multi-Source Allocation Non-Conformity

Multi-Destination Allocation Non-Conformity

Proportional Allocation Non-Conformity

Chronological Allocation Non-Conformity

Model-Based Attribution Non-Conformity

Energy Mixing Non-Conformity

Storage Attribution Non-Conformity

Storage Loss Allocation Non-Conformity

Conversion Attribution Non-Conformity

Temporal Attribution Non-Conformity

Quantity Conservation Non-Conformity

Attribution Residual Non-Conformity

Double-Counting Non-Conformity

Allocation Uncertainty Non-Conformity

Evidence Sufficiency Non-Conformity

Governance Determination Non-Conformity

Non-conformities must identify the affected attribution object, method, quantity, interval, evidence, and requirement.

A methodological attribution non-conformity does not automatically establish energy theft, contractual breach,

regulatory non-compliance, or legal liability.

68. Practical Use Case 1 — Mixed-Source Battery Discharge Allocation

Situation

A battery storage system receives:

40 MWh from Solar Generation Facility A

60 MWh from Shared Electricity Network B

The total charging input is:

100 MWh

After storage losses, the battery delivers:

90 MWh

The operator claims:

“All 90 MWh of discharged energy originated from the solar facility.”

No physically segregated storage inventory or source-specific discharge evidence supports this claim.

EAAM Assessment

EAAM identifies:

Solar Charging Contribution: 40 MWh

Network Charging Contribution: 60 MWh

Total Charging Input: 100 MWh

Eligible Discharged Energy: 90 MWh

Physical Source Mixing: Present

Direct Source-Specific Discharge Tracing: Not Established

If the operator explicitly adopts a proportional allocation method with uniformly allocated storage losses:

[ p_{\text{solar}}=\frac{40}{100}=0.40 ]

[ A_{\text{solar}}=0.40\times90=36\text{ MWh} ]

[ A_{\text{network}}=0.60\times90=54\text{ MWh} ]

The resulting allocation is:

Solar-Allocated Discharge: 36 MWh

Network-Allocated Discharge: 54 MWh

These quantities represent a methodological allocation rather than individually traced physical energy units.

Governance Determination

FAIL — The Original Claim Attributes More Discharged Energy to the Solar Source Than the Evidence and

Defined Allocation Method Support.

A separately documented proportional allocation may be assessed for conformity under the applicable requirements.

Methodological Lesson

Energy discharged from mixed-source storage must be attributed through a physically supported

relationship or an explicit allocation method, not by assigning the entire discharge to a preferred charging

source.

69. Practical Use Case 2 — Annual Energy Matching Presented as

Simultaneous Physical Delivery

Situation

An industrial facility consumes:

1,000 MWh of electricity during one calendar year

A contracted renewable generator produces:

1,000 MWh during the same year

The facility and generator are connected to an interconnected electricity network.

The operator allocates the generator's annual production to the facility's annual consumption.

The operator then claims:

“The facility was physically supplied by the renewable generator at all times during the year.”

However, the available records show that the generator did not produce electricity during some intervals when the

facility continued consuming electricity.

EAAM Assessment

EAAM identifies:

Annual Generation Quantity: 1,000 MWh

Annual Consumption Quantity: 1,000 MWh

Annual Numerical Matching: Established

Continuous Temporal Matching: Not Established

Unique Physical Source-to-Destination Tracing: Not Established

The annual quantities may support an allocation or contractual matching conclusion under a defined methodology.

They do not establish simultaneous physical delivery during every consumption interval.

Governance Determination

FAIL — Annual Quantity Matching Is Incorrectly Presented as Continuous Physical Source-Specific Delivery.

Methodological Lesson

Equal annual generation and consumption quantities do not establish simultaneous physical energy delivery

or unique source-to-destination tracing.

70. Temporal Integrity & Historical Attribution

EAAM requires explicit separation of:

Physical Valid Time

When the physical energy quantity, system state, and attribution relationship applied.

Evidence Availability Time

When supporting measurements, allocation inputs, and method evidence became available.

Assessment Issuance Time

When the attribution determination was issued.

Historical as-of assessments must use evidence and method versions available by the defined cutoff.

Later measurement corrections, storage records, or allocation method revisions may support separately identified

retrospective reassessments.

Original allocation inputs, methods, calculations, evidence references, and determinations must remain preserved.

ACCM governs attribution change and historical continuity.

71. GIE™ Compatibility

EAAM is designed for methodological compatibility with GIE™ — Governance Intelligence Engine.

Potential machine-readable objects include:

Attribution Allocation Record

Energy Source

Energy Destination

Attribution Boundary

Attribution Method

Attribution Method Version

Eligible Energy Quantity

Attributed Energy Quantity

Unattributed Energy Quantity

Allocation Fraction

Storage Inventory Attribution

Conversion Attribution

Temporal Matching Record

Loss Allocation

Attribution Residual

Uncertainty Assessment

Evidence Reference

Confidence Classification

Governance Determination

A compatible implementation may support automated checks for:

Missing Attribution Methods

Unsupported Direct Physical Attribution Claims

Source Allocations Exceeding Eligible Quantities

Destination Allocations Exceeding Supported Delivery

Unexplained Attribution Residuals

Storage Losses Omitted from Allocation

Conversion Inputs and Outputs Incorrectly Equated

Annual Matching Presented as Continuous Physical Delivery

Contractual Association Presented as Physical Tracing

Historical Allocations Using Future Evidence

GIE-Compatible: Yes establishes methodological and architectural compatibility.

It does not establish completed production integration, validated software behavior, or external certification.

72. Canonical Boundary

EAAM — Energy Attribution & Allocation Module governs the methodological attribution and allocation of

physical energy quantities to identifiable sources, destinations, conversion processes, storage relationships,

and operating intervals.

It establishes methodological requirements for:

Direct Physical Attribution

Measurement-Supported Attribution

Network-Mediated Attribution

Model-Based Attribution

Proportional Allocation

Chronological Allocation

Multi-Source Allocation

Multi-Destination Allocation

Energy Mixing

Storage Inventory Attribution

Conversion Attribution

Temporal Matching

Available Energy Quantity

Quantity Conservation

Attribution Residuals

Unattributed Energy

Double-Counting Control

Allocation Uncertainty

Evidence Provenance

Governance Determination

EAAM does not independently establish physical source identity, observed network pathways, measurement validity,

certificate validity, or final attribution assurance.

Those responsibilities remain assigned to EFAIM, FPAM, AVAM, ACCM, and the applicable specialized standards.

Its principal governance output is:

Energy Attribution & Allocation Profile

73. Canonical Closing Statement

Energy allocation becomes methodologically defensible only when its physical boundaries, eligible

quantities, attribution method, assumptions, uncertainty, and evidentiary limitations remain explicit.

A source may generate a measured quantity of energy without directly supplying a particular consumer.

A shared network may support measured injections and withdrawals without enabling unique source-specific tracing.

A storage system may combine energy from several charging sources before discharging energy during later

intervals.

And an annual allocation may match generation and consumption quantities without establishing simultaneous

physical delivery.

EAAM establishes the methodological structure required to govern these distinctions.

It connects source and destination identities, physical pathway evidence, eligible quantities, allocation methods,

storage and conversion relationships, temporal matching, residuals, uncertainty, and governance determinations.

It provides the attribution and allocation foundation required for subsequent verification and historical continuity.

EAAM ensures that energy quantities are attributed through physically bounded, explicitly documented,

reproducible, and evidence-supported methodologies rather than accepted as physically traced merely

because they have been numerically assigned, contractually associated, or declared to originate from a

particular source.

AVAM — Attribution Verification & Assurance Module

Architecture: EGA™ — Energy Governance Architecture

Parent Standard: Energy Flow Attribution Standard (EFAS)

Category: Physical Energy Lifecycle Governance

Subcategory: Physical Energy Flow Attribution, Origin-to-Destination Traceability & Allocation Governance

Type: Core Module

Governed Space: Energy Attribution Verification, Physical Flow Evidence Assurance, Source-to-Destination

Attribution Validation, Attribution Method Conformity, Measurement & Reconciliation Dependencies, Physical Quantity

Conservation, Source & Destination Allocation Limits, Energy Mixing, Storage & Conversion Attribution Verification,

Temporal Matching Integrity, Physical Versus Contractual Attribution, Certificate-Based Attribute Distinction, Double-

Counting Prevention, Attribution Residuals, Evidence Sufficiency, Contradictory Evidence, Uncertainty, Confidence

Classification, Governance Determination, Verification Traceability, Historical Assurance Integrity & Evidence-Based

Energy Attribution Assurance Governance

Module ID: EGA-EFAS-AVAM-04

Origin ID: OOF-EGA-EFAS-AVAM

Version: 1.0

Status: Canonical Open

Effective Date: 27.10.2026

Authority: OOF® — OriginOpen® Foundation

Protection: (MIP) Methodological Intellectual Property

Compatibility: Methodology OS — Modular Compatibility

GIE-Compatible: Yes

AI-Readable: Yes

Canonical Language: UCL — Universal Canonical Language (English)

1. Canonical Definition

AVAM — Attribution Verification & Assurance Module is the fourth Core Module within Energy Flow Attribution

Standard (EFAS), operating under EGA™ — Energy Governance Architecture.

AVAM establishes the methodological requirements for verifying whether energy attribution and allocation conclusions

are consistent with their declared physical boundaries, source and destination identities, transfer pathway evidence,

eligible quantities, allocation methods, operating intervals, and supporting records.

It governs the distinction between a correctly executed attribution calculation, an evidence-supported physical

relationship, and a verified attribution conclusion within a defined scope.

AVAM recognizes that mathematical consistency alone does not establish physical causation.

A proportional allocation may be calculated correctly while relying on incomplete source records.

A network energy balance may reconcile while the physical origin of individual withdrawals remains unresolved.

A storage allocation may sum to the measured discharge while omitting relevant charging sources.

A contractual renewable energy purchase may be valid without establishing direct physical delivery.

A certificate may support an attribute claim under an applicable scheme without demonstrating a uniquely identifiable

physical energy pathway.

AVAM therefore verifies both the internal consistency of attribution records and the evidentiary limitations of the

conclusions derived from them.

Its principal governance sequence is:

Attribution Claim → Identity & Boundary Verification → Physical Pathway Verification → Method Verification

→ Quantity Reconciliation → Double-Counting Assessment → Temporal Verification → Evidence &

Uncertainty Assessment → Assurance Determination

AVAM receives identification evidence from EFAIM, physical pathway assessments from FPAM, and attribution

calculations from EAAM.

It produces verification and assurance records that ACCM preserves across changes and reassessments.

Its principal governance output is the Attribution Verification & Assurance Profile.

2. Operational Role

AVAM establishes the verification and assurance layer of EFAS.

It governs:

Attribution claim identification.

Verification scope.

Source and destination identity verification.

Attribution boundary verification.

Physical pathway evidence verification.

Attribution method conformity.

Calculation reproducibility.

Source quantity limitations.

Destination quantity limitations.

Physical quantity conservation.

Measurement and reconciliation dependencies.

Storage attribution verification.

Conversion attribution verification.

Energy mixing limitations.

Temporal matching verification.

Double-counting prevention.

Contractual and certificate distinction.

Attribution residuals.

Evidence sufficiency.

Contradictory evidence.

Attribution uncertainty.

Assurance confidence.

Governance determination.

Historical verification integrity.

AVAM determines whether the assessed attribution conclusion is supported within its declared methodological and

evidentiary boundaries.

It does not convert methodological allocation into direct physical tracing.

3. Operational Question

How can energy attribution and allocation conclusions be independently checked against physical identities,

pathway evidence, measured quantities, allocation methods, temporal conditions, energy conservation,

double-counting controls, and uncertainty so that unsupported physical origin claims are rejected even when

the underlying calculations are mathematically consistent?

4. Position in Architecture Governance Flow

Energy Governance Architecture (EGA™)

Energy Source & Origin → Energy Generation → Energy Conversion → Energy Transmission & Distribution ↔

Energy Storage → Energy Delivery & Consumption

Energy Flow Attribution Standard (EFAS)

EFAIM — Energy Flow Attribution Identification Module

↓

FPAM — Flow Pathway Assessment Module

↓

EAAM — Energy Attribution & Allocation Module

↓

AVAM — Attribution Verification & Assurance Module

↓

ACCM — Attribution Change & Continuity Module

AVAM verifies the conclusions produced by the preceding EFAS modules.

It supplies evidence-supported assurance determinations and verification records for historical preservation under

ACCM.

5. Governed Space

Energy Attribution Verification, Physical Flow Evidence Assurance, Source-to-Destination Attribution

Validation, Attribution Method Conformity, Measurement & Reconciliation Dependencies, Physical Quantity

Conservation, Source & Destination Allocation Limits, Energy Mixing, Storage & Conversion Attribution

Verification, Temporal Matching Integrity, Physical Versus Contractual Attribution, Certificate-Based Attribute

Distinction, Double-Counting Prevention, Attribution Residuals, Evidence Sufficiency, Contradictory

Evidence, Uncertainty, Confidence Classification, Governance Determination, Verification Traceability,

Historical Assurance Integrity & Evidence-Based Energy Attribution Assurance Governance

The governed space begins with an identifiable attribution conclusion.

It includes the verification of its physical, numerical, methodological, temporal, and evidentiary foundations.

It concludes with an explicit assurance determination and preserved verification record.

6. Governed Object

The primary Governed Object is:

An identifiable energy attribution verification record evaluating a defined attribution claim against its source

and destination identities, physical boundaries, pathway evidence, eligible quantities, allocation methods,

physical accounting constraints, operating intervals, uncertainty, and supporting evidence.

Relevant fields include:

Verification ID

Attribution Record ID

Attribution Claim ID

Source Reference

Destination Reference

Attribution Boundary ID

Energy Carrier ID

Operating Interval

Pathway Assessment Reference

Attribution Method Reference

Eligible Energy Quantity

Attributed Energy Quantity

Residual Quantity

Double-Counting Assessment

Evidence References

Verification Tests

Confidence Classification

Governance Determination

7. Scope

AVAM applies to verification of attribution involving:

Electricity

Thermal Energy

Steam

Natural Gas

Hydrogen

Liquid Energy Carriers

Mechanical Energy

Stored Energy

Converted Energy

Multi-Carrier Energy Systems

It applies to:

Direct Physical Attribution

Network-Mediated Attribution

Model-Based Attribution

Methodological Allocation

Storage-Mediated Attribution

Conversion-Mediated Attribution

Multi-Source Allocation

Multi-Destination Allocation

Time-Aggregated Attribution

Attribution Claims Supported by Commercial or Certificate References

8. Foundational Principle

Energy attribution assurance must be based on the consistency of physical evidence, attribution boundaries,

eligible quantities, applicable methods, temporal conditions, and documented limitations—not merely

numerical agreement, contractual declarations, or successful calculation execution.

Correct Allocation Calculation ≠ Verified Physical Attribution.

Reconciled Energy Balance ≠ Verified Source-to-Destination Origin.

Valid Contract ≠ Verified Physical Delivery.

Certificate-Based Attribute Claim ≠ Physical Pathway Evidence.

Verification PASS ≠ Certification of Physical Origin.

9. Verification Versus Assurance

AVAM distinguishes verification from assurance.

Verification evaluates whether specific requirements and tests are satisfied.

Assurance expresses the supported scope and limitations of the resulting conclusion.

A verified allocation calculation may support assurance that the calculation followed the selected method.

It does not necessarily support assurance that the allocation represents direct physical tracing.

The assurance statement must remain consistent with the actual verification scope.

10. Attribution Claim Identification

Every verification must identify the exact attribution claim being assessed.

Relevant fields include:

Claim ID

Claimed Source

Claimed Destination

Claimed Quantity

Claimed Operating Interval

Claimed Attribution Classification

Claimed Evidence Basis

An undefined or ambiguous claim cannot receive unrestricted assurance.

11. Verification Scope

AVAM requires an explicit verification scope.

The scope must identify:

Physical Boundary

Energy Carrier

Source Population

Destination Population

Operating Interval

Attribution Method

Evidence Population

Applicable Requirements

A verification result must not be extended beyond its assessed scope.

12. Source Identity Verification

AVAM verifies whether the attributed source corresponds to an identifiable physical object or explicitly classified

aggregated source.

Relevant evidence may include:

Source Register

Generation Asset Reference

Conversion Output Reference

Storage Discharge Reference

Network Supply Interface

A commercial supplier identifier must not automatically substitute for a physical generation source.

13. Destination Identity Verification

AVAM verifies whether the attributed destination corresponds to the relevant physical delivery or consumption

boundary.

A customer account or commercial reporting entity must not automatically substitute for an identified physical

destination.

Material aggregation must remain explicit.

14. Attribution Boundary Verification

AVAM verifies whether the attribution boundary is defined and consistently applied.

Relevant considerations include:

Included Sources

Included Destinations

Included Physical Assets

Included Transfer Interfaces

Boundary-Crossing Quantities

Operating Interval

Boundary changes must not be concealed within a single unversioned attribution record.

15. Energy Carrier Verification

AVAM verifies that attributed quantities correspond to the correct energy carrier.

Electricity, thermal energy, hydrogen, gas, and other carriers must retain their physical identities.

Equivalent numerical energy units do not eliminate conversion requirements.

16. Physical Quantity Verification

AVAM verifies whether the attribution uses the correct physical quantity.

It distinguishes:

Energy

Power

Mass Flow

Volumetric Flow

Stored-Energy State

Calculated Energy Quantity

A power measurement must not be treated as an energy quantity without an appropriate time integration.

17. Physical Pathway Verification

AVAM evaluates whether the attribution classification is consistent with the physical pathway evidence supplied by

FPAM.

Relevant questions include:

Was a Physical Connection Identified?

Was the Pathway Operationally Available?

Was Flow Direction Supported?

Were Material Alternative Sources Considered?

Were Mixing Conditions Identified?

Was the Claimed Physical Transfer Observed or Inferred?

A possible pathway must not be treated as proof of actual delivery.

18. Direct Physical Attribution Verification

Direct physical attribution requires evidence appropriate to the claimed source-to-destination relationship.

Relevant factors include:

Dedicated or Sufficiently Constrained Pathway

Applicable Operating State

Relevant Measurements

Material Alternative Inputs

Temporal Alignment

Where the evidence supports only a network-level relationship, direct source-specific attribution must not receive an

unrestricted verification PASS.

19. Network-Mediated Attribution Verification

Network-mediated attribution requires explicit distinction between:

Measured Source Injection

Measured Destination Withdrawal

Network-Level Physical Transfer

Allocated Source Contribution

AVAM must reject claims that represent a model-based or accounting allocation as uniquely traced physical energy

without supporting evidence.

20. Attribution Method Verification

AVAM verifies that the selected attribution method is identifiable, applicable, and sufficiently documented.

Relevant fields include:

Method ID

Method Version

Input Requirements

Calculation Rules

Physical Boundary

Temporal Resolution

Loss Treatment

Known Limitations

A method must not be considered verified merely because its calculation can be executed.

21. Method Applicability Verification

AVAM evaluates whether the method is suitable for the physical system and intended conclusion.

A method designed for annual contractual matching must not automatically support hourly physical delivery claims.

A proportional storage allocation must not be presented as individual energy-unit tracing.

The verified method scope must remain explicit.

22. Calculation Reproducibility

AVAM requires material attribution calculations to be reproducible from preserved inputs and method versions.

Relevant elements include:

Input Quantities

Allocation Fractions

Calculation Rules

Loss Adjustments

Rounding Rules

Residual Treatment

Method Version

A reproducible calculation is necessary for methodological assurance but does not independently establish physical

attribution.

23. Source Quantity Verification

AVAM verifies that the quantity attributed to each source remains within its eligible physically supported contribution.

For source (i):

Numerical reconciliation cannot substitute for source attribution evidence.

28. Measurement Evidence Verification

AVAM verifies that the attribution uses relevant measurement records.

Relevant references include:

Measurement Point ID

Measured Quantity

Measurement Interval

Measurement Validity Status

Measurement Uncertainty

Reconciliation Reference

Material measurement limitations must remain attached to the attribution conclusion.

29. Measurement Boundary Compatibility

Measurements used in the same attribution calculation must correspond to compatible physical boundaries.

AVAM must identify:

Boundary Mismatches

Internal Transfer Duplication

Different Metering Locations

Unaccounted Conversion Processes

Storage Boundary Differences

Incompatible measurement boundaries must not be silently combined.

30. Temporal Verification

AVAM verifies that the attribution corresponds to the claimed operating interval.

Relevant conditions include:

Source Availability

Destination Consumption

Pathway Operating State

Storage Charging and Discharging

Measurement Resolution

Allocation Interval

Temporal mismatches must remain explicit.

31. Temporal Matching Assurance

AVAM distinguishes:

Simultaneous Physical Transfer Evidence

Storage-Mediated Delayed Transfer

Time-Aggregated Allocation

Contractual Period Matching

A monthly or annual allocation must not receive assurance of continuous simultaneous physical delivery unless

independently supported.

32. Temporal Aggregation Risk

Temporal aggregation may conceal:

Source Inactivity

Destination Consumption During Source Unavailability

Network Configuration Changes

Storage Charging and Discharging Transitions

Short-Term Allocation Excesses

AVAM must assess whether the chosen resolution supports the intended claim.

33. Multi-Source Allocation Verification

AVAM verifies that all material eligible sources are represented or explicitly classified as unresolved.

Relevant checks include:

Source Population Completeness

Source Quantity Availability

Allocation Fraction Consistency

Unknown Source Treatment

Double-Counting Control

Omitted material sources must not be silently assigned to a preferred source.

34. Multi-Destination Allocation Verification

AVAM verifies that a source quantity is not allocated beyond its eligible availability across multiple destinations.

Relevant checks include:

Destination Population

Allocated Quantities

Shared Source References

Overlapping Boundaries

Allocation Interval

Material over-allocation must be classified as a non-conformity.

35. Proportional Allocation Verification

For proportional allocation:

[ p_i=\frac{E_i}{\sum_k E_k} ]

and:

[ A_i=p_i E_{\mathrm{eligible}} ]

AVAM verifies:

Eligible Source Population

Correct Input Quantities

Applicable Allocation Fractions

Calculation Reproducibility

Loss Treatment

Rounding and Residual Treatment

A correct proportional calculation must remain classified as methodological allocation unless direct physical tracing is

separately supported.

36. Chronological Allocation Verification

Chronological allocation may use:

First-In, First-Out

Last-In, First-Out

Time-Weighted Inventory

Defined Charging Sequence

AVAM verifies whether the chosen convention is consistently applied.

It must not treat chronological inventory conventions as proof of physical source identity within a mixed energy

inventory.

37. Model-Based Attribution Verification

AVAM verifies that model-based attribution preserves:

Model Identity

Model Version

Input Data

Physical Assumptions

Validation Scope

Uncertainty

Applicable Operating Conditions

A model result must not be represented as directly measured physical transfer.

38. Model Validation Boundary

A model may be validated for defined operating conditions.

AVAM must determine whether the assessed attribution falls within those conditions.

Model validation for network behavior does not automatically establish unique source-to-consumer tracing.

Unsupported extrapolation must remain explicit.

39. Energy Mixing Verification

AVAM verifies that material energy mixing is identified and appropriately reflected in the attribution classification.

Relevant systems include:

Shared Electricity Networks

Gas Networks

Thermal Distribution Systems

Shared Storage Inventories

Multi-Source Conversion Facilities

Where source-specific physical tracing is unavailable, methodological allocation must remain distinguishable.

40. Storage Attribution Verification

AVAM verifies storage-mediated attribution against:

Charging Source Records

Charging Quantities

Storage Inventory Method

Discharging Quantities

Storage Loss Treatment

Operating Intervals

Allocation Assumptions

A storage discharge must not be attributed to a preferred source beyond the support of the applicable method and

evidence.

41. Storage Inventory Verification

AVAM verifies whether the storage attribution method preserves source inventory continuity.

Relevant checks include:

Opening Inventory

Charging Contributions

Discharge Allocations

Storage Losses

Closing Inventory

Source-Specific Inventory Shares

The inventory must remain consistent with the selected method and physical evidence.

42. Storage Loss Verification

AVAM verifies that material storage losses are accounted for.

Losses must not be silently ignored when determining eligible discharged quantities.

A storage system must not attribute more output energy than the applicable physical inventory and operating evidence

support.

43. Conversion Attribution Verification

AVAM verifies whether conversion-mediated attribution preserves:

Input Source References

Input Energy Quantities

Conversion Process Identity

Output Energy Quantities

Conversion Losses

Output Allocation Method

The attribution must remain consistent with the physical conversion process.

44. Multi-Carrier Verification

AVAM verifies that different energy carriers are not treated as physically identical.

Relevant checks include:

Carrier Identity

Conversion Boundaries

Energy Unit Compatibility

Conversion Efficiency or Loss Evidence

Input-Output Attribution Method

Numerical energy equivalence does not independently establish physical source continuity.

45. Double-Counting Verification

AVAM evaluates whether an eligible physical energy quantity has been attributed more than once within overlapping

scopes.

Relevant risks include:

Duplicate Source Allocation

Overlapping Destination Allocation

Repeated Internal Transfers

Storage Charging and Discharging Duplication

Overlapping Attribution Boundaries

Repeated Aggregated Reporting

Double counting must be evaluated using explicit quantity, boundary, and interval identities.

46. Physical Quantity Versus Attribute Double Counting

AVAM distinguishes physical quantity duplication from duplicate claims to energy attributes.

Physical Quantity Double Counting concerns repeated attribution of the same eligible energy quantity beyond its

supported availability.

Attribute Double Counting concerns repeated claims to the same energy attribute under an applicable contractual

or certificate framework.

AVAM directly verifies physical quantity attribution.

External attribute ownership and cancellation rules require their own applicable evidence and governance.

47. Contractual Attribution Verification Boundary

AVAM may verify that a contractual association has been correctly classified.

It must not infer direct physical delivery from:

Purchase Agreements

Supplier Statements

Billing Records

Commercial Settlement

A valid contract does not independently establish a physical source-to-destination pathway.

48. Certificate-Based Attribution Verification Boundary

AVAM may register certificate-based attribution evidence.

However, certificate issuance, ownership, transfer, cancellation, and scheme compliance are not automatically

established by EFAS verification.

A certificate may support an attribute-based claim under applicable rules.

It does not independently demonstrate the physical pathway of delivered energy.

49. Attribution Residual Verification

AVAM verifies that unresolved attribution quantities remain explicit.

Relevant fields include:

Residual Quantity

Residual Direction

Physical Boundary

Operating Interval

Potential Explanation

Evidence Status

An attribution residual must not automatically be classified as physical loss or measurement error.

50. Unattributed Energy Verification

AVAM verifies whether unattributed energy is properly represented.

Potential causes include:

Unknown Sources

Incomplete Measurements

Unresolved Storage Histories

Energy Mixing

Temporal Mismatch

Allocation Method Limitations

Unattributed energy must not be silently assigned to a source merely to complete an allocation table.

51. Attribution Uncertainty Verification

AVAM evaluates material uncertainty arising from:

Measurement Error

Physical Model Assumptions

Incomplete Source Evidence

Energy Mixing

Storage Allocation Methods

Temporal Aggregation

Loss Allocation

Residual Treatment

Uncertainty must be appropriate to the claimed attribution conclusion.

52. Uncertainty Versus Confidence

AVAM distinguishes:

Measurement Uncertainty

Model Uncertainty

Allocation Method Uncertainty

Evidence Sufficiency

Governance Confidence

A precise numerical result may still have limited physical attribution confidence.

Numerical precision must not substitute for evidentiary support.

53. Evidence Provenance

Every material verification must preserve:

Evidence ID

Evidence Source

Physical Valid Time

Evidence Availability Time

Assessment Issuance Time

Method Version

Measurement References

Pathway References

Integrity References

Evidence provenance must remain traceable.

54. Evidence Sufficiency Assessment

AVAM evaluates whether the evidence is sufficient for the claimed assurance scope.

Relevant questions include:

Are the Physical Identities Established?

Is the Attribution Boundary Explicit?

Is the Physical Pathway Classification Supported?

Are Eligible Quantities Verified?

Is the Allocation Method Applicable?

Are Calculations Reproducible?

Are Storage and Conversion Relationships Addressed?

Are Material Losses Accounted For?

Are Operating Intervals Compatible?

Are Double-Counting Risks Controlled?

Are Unattributed Quantities Explicit?

Are Material Uncertainties Preserved?

Insufficient evidence must limit the assurance conclusion.

55. Contradictory Evidence

Contradictory evidence may include:

Conflicting Source Measurements

Incompatible Destination Quantities

Contradictory Pathway Records

Different Storage Inventory Histories

Conflicting Method Versions

Overlapping Attribution Claims

Inconsistent Operating Intervals

Material contradictions must remain visible until reconciled.

56. Evidence Reconciliation

Reconciliation may involve:

Measurement Record Comparison

Attribution Calculation Reproduction

Physical Boundary Review

Storage Inventory Reconstruction

Conversion Input-Output Assessment

Temporal Alignment Review

Method Version Verification

Reconciliation must preserve original evidence and documented justification.

57. Assurance Confidence Classification

AVAM applies the EGA™ confidence framework.

Confirmed — Sufficient applicable evidence supports the specific verification conclusion.

Reconciled — The conclusion is supported through justified evidence reconciliation.

Estimated — The conclusion depends materially on explicit modeling, allocation assumptions, or reconstruction.

Conflicted — Material evidence supports incompatible conclusions.

Unknown — Available evidence is insufficient.

Confidence must be attached to the actual assurance statement.

A confirmed calculation does not automatically establish confirmed physical source tracing.

58. Governance Determination

AVAM supports:

PASS — Applicable verification requirements are satisfied within the defined scope.

CONDITIONAL — The conclusion is supported subject to explicit limitations.

FAIL — One or more mandatory verification requirements are not satisfied.

INDETERMINATE — Evidence is insufficient or materially conflicting.

NOT APPLICABLE — The assessed requirement does not apply.

A PASS must not be represented as unrestricted certification of physical origin, renewable status, contractual

compliance, or environmental performance.

59. Fifty Governance Requirements

A conforming AVAM implementation must satisfy the following requirements.

Claim, Identity & Scope Verification

1. Establish an identifiable verification record.

2. Identify the exact attribution claim.

3. Define the verification scope.

4. Preserve source identity references.

5. Preserve destination identity references.

6. Verify the attribution boundary.

7. Verify the relevant energy carrier.

8. Verify the physical quantity classification.

9. Preserve the applicable operating interval.

10. Prevent verification conclusions from exceeding the assessed scope.

Physical Pathway & Method Verification

11. Preserve physical pathway assessment references.

12. Verify consistency between pathway evidence and attribution classification.

13. Distinguish direct physical attribution from network-mediated allocation.

14. Identify the applicable attribution method.

15. Preserve the attribution method version.

16. Evaluate method applicability.

17. Verify calculation reproducibility.

18. Preserve material model assumptions.

19. Evaluate relevant model validation limits.

20. Prevent modeled or allocated results from being represented as directly observed flow.

Quantity, Measurement & Physical Accounting

21. Verify eligible source quantities.

22. Verify eligible destination quantities.

23. Evaluate attribution quantity conservation.

24. Preserve measurement evidence references.

25. Evaluate measurement boundary compatibility.

26. Preserve relevant reconciliation references.

27. Distinguish physical reconciliation from source attribution.

28. Verify material attribution residuals.

29. Preserve unattributed energy quantities.

30. Evaluate material uncertainty in eligible quantities.

Storage, Conversion, Time & Double Counting

31. Verify multi-source allocation consistency.

32. Verify multi-destination allocation consistency.

33. Verify storage attribution method applicability.

34. Verify storage inventory continuity.

35. Verify storage loss treatment.

36. Verify conversion input-output attribution consistency.

37. Verify relevant energy carrier transformations.

38. Evaluate temporal matching and aggregation limitations.

39. Identify material energy mixing limitations.

40. Evaluate physical quantity double-counting risks.

Evidence, Assurance & Continuity

41. Distinguish contractual association from physical delivery evidence.

42. Distinguish certificate-based attribute claims from physical pathway evidence.

43. Preserve verification evidence provenance.

44. Evaluate evidence sufficiency.

45. Preserve material contradictory evidence.

46. Reconcile evidence conflicts where possible.

47. Evaluate attribution uncertainty and assurance limitations.

48. Apply evidence-supported confidence classifications and governance determinations.

49. Preserve original verification records, method versions, and machine-readable cross-module relationships.

50. Produce an Attribution Verification & Assurance Profile.

60. Governance Logic

Attribution Claim → Physical Identity Verification → Boundary Verification → Pathway Verification → Method

Verification → Quantity Verification → Temporal Verification → Double-Counting Assessment → Evidence

Sufficiency → Assurance Determination

For physical attribution:

Claimed Source → Supported Pathway → Eligible Energy Quantity → Claimed Destination → Evidence

Verification

For methodological allocation:

Allocation Method → Eligible Inputs → Reproduced Calculation → Quantity Limits → Explicit Allocation

Classification

For storage:

Charging Records → Inventory Method → Loss Treatment → Discharge Allocation → Verification

For governance:

Verification Evidence → Requirement Tests → Uncertainty → Confidence → Determination → Assurance

Statement

The governance logic must preserve the distinction between verified calculation conformity and verified physical

attribution.

61. Governance Outputs

The principal output is:

Attribution Verification & Assurance Profile

Supporting outputs may include:

Attribution Claim Verification Record

Verification Scope Profile

Source Identity Verification Record

Destination Identity Verification Record

Attribution Boundary Verification

Energy Carrier Verification

Physical Quantity Verification

Physical Pathway Assurance Record

Direct Attribution Verification

Network-Mediated Attribution Verification

Attribution Method Conformity Record

Method Applicability Assessment

Calculation Reproducibility Record

Source Quantity Verification

Destination Quantity Verification

Attribution Conservation Assessment

Physical Reconciliation Dependency Record

Measurement Evidence Verification

Measurement Boundary Compatibility Assessment

Temporal Matching Verification

Multi-Source Allocation Verification

Multi-Destination Allocation Verification

Proportional Allocation Verification

Chronological Allocation Verification

Model-Based Attribution Verification

Energy Mixing Verification

Storage Attribution Verification

Storage Inventory Verification

Storage Loss Verification

Conversion Attribution Verification

Multi-Carrier Verification

Double-Counting Assessment

Contractual Attribution Distinction Record

Certificate-Based Attribution Distinction Record

Attribution Residual Verification

Unattributed Energy Verification

Uncertainty Assessment

Evidence Provenance Record

Evidence Sufficiency Assessment

Contradictory Evidence Register

Evidence Reconciliation Record

Assurance Confidence Classification

Governance Determination Record

Assurance Statement

Outputs must preserve the verified scope, evidence, calculations, limitations, and applicable determination.

62. Minimum Implementation Framework

A minimum AVAM implementation establishes eight governance layers.

Layer 1 — Claim & Scope Identification

Identify the attribution claim, source, destination, physical boundary, energy carrier, operating interval, and intended

assurance conclusion.

Layer 2 — Identity & Pathway Verification

Retrieve and evaluate applicable EFAIM identity records and FPAM pathway assessments.

Layer 3 — Method & Calculation Verification

Identify the EAAM method, version, assumptions, input data, and reproducible calculations.

Layer 4 — Physical Quantity & Measurement Verification

Evaluate eligible quantities, measurement validity dependencies, reconciliation references, source limits, and

destination limits.

Layer 5 — Storage, Conversion & Temporal Verification

Evaluate storage inventory, conversion relationships, loss treatment, temporal matching, and energy mixing

limitations.

Layer 6 — Double-Counting & Residual Assessment

Evaluate overlapping allocations, duplicate physical quantities, unattributed energy, and material residuals.

Layer 7 — Evidence & Assurance Determination

Evaluate evidence sufficiency, conflicts, uncertainty, confidence, verification tests, and governance determination.

Layer 8 — Interoperability & Historical Assurance

Produce machine-readable assurance records for ACCM and compatible governance systems, preserving original

evidence and determinations.

No specific proprietary technology is mandatory.

63. Cross-Module Boundary

EFAIM — Energy Flow Attribution Identification Module

Establishes source, destination, boundary, carrier, interface, and interval identities.

AVAM verifies their consistency with the attribution claim.

FPAM — Flow Pathway Assessment Module

Evaluates physical pathways, operating states, and energy mixing.

AVAM verifies that the attribution conclusion does not exceed the pathway evidence.

EAAM — Energy Attribution & Allocation Module

Establishes attribution methods, calculations, quantities, and uncertainty.

AVAM verifies methodological conformity and evidentiary support.

ACCM — Attribution Change & Continuity Module

Preserves verification records, original determinations, later corrections, and historical continuity.

AVAM provides the assurance records requiring preservation.

64. Cross-Architecture Boundary

ESOS — Energy Source & Origin Standard

Provides source and origin context.

AVAM does not independently certify energy origin.

EGS — Energy Generation Standard

Provides generation output evidence.

AVAM verifies attribution consistency with eligible generation quantities.

ECS — Energy Conversion Standard

Provides conversion evidence.

AVAM verifies attribution treatment of conversion inputs and outputs.

ETDS — Energy Transmission & Distribution Standard

Provides physical network configuration and operating evidence.

AVAM evaluates attribution consistency with pathway evidence.

ESS — Energy Storage Standard

Provides storage state and operating evidence.

AVAM verifies storage attribution against charging, inventory, discharging, and loss records.

EDCS — Energy Delivery & Consumption Standard

Provides delivery and consumption evidence.

AVAM verifies eligible destination quantities.

ESBS — Energy System Balancing Standard

Provides balancing context.

AVAM does not replace operational balancing governance.

EMRS — Energy Measurement & Reconciliation Standard

Provides measurement integrity and physical reconciliation evidence.

AVAM uses these results without independently replacing metrological verification.

EELS — Energy Efficiency & Loss Standard

Provides specialized efficiency and physical loss assessments.

AVAM verifies the appropriate use of relevant loss evidence.

ECDS — Energy Claims & Disclosure Standard

Governs downstream energy claims.

AVAM supplies verified attribution classifications and assurance limitations.

65. Verification Framework

AVAM supports explicit verification tests.

Claim Test: Is the exact attribution conclusion identifiable?

Scope Test: Is the physical and temporal scope defined?

Identity Test: Are the source and destination identities supported?

Boundary Test: Is the attribution boundary consistent?

Pathway Test: Does physical pathway evidence support the claimed relationship?

Method Test: Is the attribution method applicable and reproducible?

Source Quantity Test: Are source allocations within eligible quantities?

Destination Quantity Test: Are destination allocations within supported delivery?

Conservation Test: Are attribution quantities internally consistent?

Measurement Test: Are measurement dependencies traceable?

Storage Test: Are storage inventories and losses appropriately treated?

Conversion Test: Are conversion relationships physically consistent?

Temporal Test: Does the evidence support the claimed operating interval?

Double-Counting Test: Are duplicate physical allocations controlled?

Uncertainty Test: Are material limitations explicit?

Assurance Test: Does the final conclusion remain within the evidence-supported scope?

66. Non-Conformity Classification

AVAM recognizes:

Attribution Claim Scope Non-Conformity

Source Identity Verification Non-Conformity

Destination Identity Verification Non-Conformity

Attribution Boundary Non-Conformity

Physical Pathway Evidence Non-Conformity

Attribution Method Conformity Non-Conformity

Calculation Reproducibility Non-Conformity

Source Quantity Limitation Non-Conformity

Destination Quantity Limitation Non-Conformity

Physical Quantity Conservation Non-Conformity

Measurement Evidence Non-Conformity

Storage Attribution Non-Conformity

Conversion Attribution Non-Conformity

Temporal Matching Non-Conformity

Energy Mixing Non-Conformity

Double-Counting Non-Conformity

Attribution Residual Non-Conformity

Evidence Sufficiency Non-Conformity

Assurance Scope Non-Conformity

Historical Verification Integrity Non-Conformity

Non-conformities must identify the affected attribution claim, verification requirement, physical boundary, interval,

evidence, and determination.

A verification non-conformity does not automatically establish contractual breach, regulatory violation, environmental

misrepresentation, or legal liability.

67. Practical Use Case 1 — Mathematically Correct Allocation With an

Unsupported Physical Origin Claim

Situation

An industrial facility consumes:

1,000 MWh of electricity during one year

A renewable generator produces:

1,000 MWh during the same year

A reporting system allocates the generator's annual production to the facility's annual consumption.

The calculation is correct:

[ 1{,}000\text{ MWh}=1{,}000\text{ MWh} ]

The facility claims:

“Every MWh physically consumed by our facility originated directly from this renewable generator.”

The generator and facility are connected through an interconnected electricity network.

No evidence establishes a unique physical route or simultaneous source-specific delivery during every consumption

interval.

AVAM Assessment

AVAM identifies:

Annual Quantity Matching: Verified

Calculation Reproducibility: Verified

Contractual or Methodological Association: Potentially Supported

Unique Physical Source-to-Destination Tracing: Not Established

Continuous Temporal Matching: Not Established

The numerical equality supports the calculation.

It does not independently establish the claimed physical source-to-destination relationship.

Governance Determination

FAIL — The Physical Origin Claim Exceeds the Evidence-Supported Attribution Scope.

A separately scoped annual allocation verification may receive a different determination.

Methodological Lesson

A mathematically correct allocation must not receive assurance of direct physical source tracing when the

available evidence supports only annual quantity matching.

68. Practical Use Case 2 — Double-Counted Energy Across Storage and

Consumption

Situation

A solar generation facility produces:

100 MWh

Of this quantity:

60 MWh is delivered directly to an industrial load

40 MWh is used to charge a battery

The battery later discharges:

36 MWh

The difference represents:

4 MWh of storage losses

A reporting system records:

100 MWh of Solar Generation

40 MWh of Battery Charging

36 MWh of Battery Discharge

It then reports:

176 MWh of Total Solar Energy Supplied

The reporting system adds generation, charging, and discharging quantities as though they were independent energy

production.

AVAM Assessment

AVAM identifies:

Solar Generation: 100 MWh

Direct Load Delivery: 60 MWh

Battery Charging: 40 MWh

Battery Discharge: 36 MWh

Storage Loss: 4 MWh

The physical accounting relationship is:

[ 100=60+36+4 ]

The 40 MWh used for battery charging is an internal transfer of previously generated energy.

The 36 MWh discharged from the battery is not additional generation.

The reported 176 MWh therefore duplicates physical quantities across different lifecycle stages.

Governance Determination

FAIL — The Reported Total Double Counts Energy Transfers and Exceeds the Physically Supported

Generation Quantity.

Methodological Lesson

Generation, storage charging, and storage discharging must not be added as independent energy production

quantities when they represent successive transfers of the same physical energy inventory.

69. Temporal Integrity & Historical Assurance

AVAM requires explicit separation of:

Physical Valid Time

When the physical energy quantities, network states, and attribution relationships applied.

Evidence Availability Time

When supporting measurements, methods, and verification evidence became available.

Assessment Issuance Time

When the assurance determination was issued.

Historical as-of verification must use evidence and method versions available by the defined cutoff.

Later measurement corrections, revised topology records, or new attribution evidence may support a separately

identified retrospective reassessment.

Original verification inputs, test results, determinations, and assurance statements must remain preserved.

ACCM governs the historical continuity of these records.

70. GIE™ Compatibility

AVAM is designed for methodological compatibility with GIE™ — Governance Intelligence Engine.

Potential machine-readable objects include:

Attribution Verification Record

Attribution Claim

Verification Scope

Source Identity

Destination Identity

Physical Pathway Evidence

Attribution Method

Eligible Energy Quantity

Attributed Energy Quantity

Unattributed Energy Quantity

Physical Reconciliation Reference

Storage Attribution Record

Conversion Attribution Record

Double-Counting Assessment

Temporal Matching Record

Evidence Reference

Uncertainty Assessment

Confidence Classification

Governance Determination

Assurance Statement

A compatible implementation may support automated checks for:

Unsupported Direct Physical Attribution Claims

Allocation Quantities Exceeding Eligible Source Energy

Destination Attribution Exceeding Measured Delivery

Double-Counted Storage Transfers

Missing Attribution Method Versions

Inconsistent Temporal Matching

Contractual Associations Presented as Physical Delivery

Certificates Presented as Physical Pathway Evidence

Mathematically Correct Allocations With Unsupported Physical Conclusions

Historical Assurance Assessments Using Future Evidence

GIE-Compatible: Yes establishes methodological and architectural compatibility.

It does not establish completed production integration, validated software behavior, or external certification.

71. Canonical Boundary

AVAM — Attribution Verification & Assurance Module governs the evidence-supported verification of energy

attribution conclusions against physical identities, pathway evidence, eligible quantities, allocation methods,

measurement dependencies, temporal conditions, double-counting controls, uncertainty, and defined

assurance requirements.

It establishes methodological requirements for:

Attribution Claim Verification

Verification Scope

Physical Identity Verification

Pathway Evidence Verification

Attribution Method Conformity

Calculation Reproducibility

Source Quantity Limits

Destination Quantity Limits

Physical Quantity Conservation

Measurement & Reconciliation Dependencies

Storage Attribution Verification

Conversion Attribution Verification

Temporal Matching

Energy Mixing

Double-Counting Prevention

Residual Verification

Evidence Sufficiency

Uncertainty

Confidence Classification

Governance Determination

Assurance Statement

AVAM does not independently issue regulatory certification, establish certificate ownership, verify contractual

compliance, or prove direct physical tracing beyond the available evidence.

Its principal governance output is:

Attribution Verification & Assurance Profile

72. Canonical Closing Statement

Energy attribution assurance must verify not only whether a calculation is correct, but whether the

conclusion drawn from that calculation is physically and evidentially justified.

A network energy balance may reconcile without establishing the origin of individual withdrawals.

A proportional allocation may be mathematically correct without preserving physically identifiable source units.

A storage system may deliver measured energy while its charging source history remains mixed.

A contractual purchase may associate energy with a generator without demonstrating direct physical delivery.

And a certificate may support an energy attribute claim without establishing the physical pathway followed by

delivered energy.

AVAM establishes the methodological structure required to verify these distinctions.

It evaluates physical identities, pathway evidence, attribution methods, eligible quantities, conservation relationships,

storage and conversion histories, temporal matching, double counting, uncertainty, and evidence sufficiency.

It provides the assurance foundation required before an attribution conclusion is accepted within a defined

governance scope.

AVAM ensures that energy attribution conclusions receive assurance only to the extent justified by their

physical evidence, methodological consistency, quantitative limits, temporal validity, and documented

uncertainty—not merely because their calculations balance, their contracts exist, or their declared origins

appear plausible.

ACCM — Attribution Change & Continuity Module

Architecture: EGA™ — Energy Governance Architecture

Parent Standard: Energy Flow Attribution Standard (EFAS)

Category: Physical Energy Lifecycle Governance

Subcategory: Physical Energy Flow Attribution, Origin-to-Destination Traceability & Allocation Governance

Type: Core Module

Governed Space: Energy Attribution Change Governance, Source & Destination Identity Continuity, Attribution

Boundary Revision, Physical Network Configuration History, Transfer Pathway Change, Storage & Conversion

Attribution Continuity, Attribution Method Versioning, Allocation Revision, Measurement Correction, Temporal

Evidence Integrity, Historical As-Of Assessment, Retrospective Reassessment, Original Record Preservation,

Attribution Provenance, Decision Lineage, Audit-Chain Integrity, Change Authorization, Reverification, Historical

Export Completeness & Evidence-Based Attribution Lifecycle Continuity Governance

Module ID: EGA-EFAS-ACCM-05

Origin ID: OOF-EGA-EFAS-ACCM

Version: 1.0

Status: Canonical Open

Effective Date: 27.10.2026

Authority: OOF® — OriginOpen® Foundation

Protection: (MIP) Methodological Intellectual Property

Compatibility: Methodology OS — Modular Compatibility

GIE-Compatible: Yes

AI-Readable: Yes

Canonical Language: UCL — Universal Canonical Language (English)

1. Canonical Definition

ACCM — Attribution Change & Continuity Module is the fifth Core Module within Energy Flow Attribution

Standard (EFAS), operating under EGA™ — Energy Governance Architecture.

ACCM establishes the methodological governance requirements for preserving the integrity, traceability, and historical

continuity of energy attribution records when physical systems, attribution methods, evidence, operating conditions, or

governance determinations change.

It governs the lifecycle of attribution identities, physical pathway references, allocation methods, source and

destination relationships, storage inventories, conversion processes, measurement corrections, verification results,

and retrospective assessments.

ACCM recognizes that an energy attribution may be valid under one physical configuration, evidence state, or

allocation method while becoming inapplicable under another.

A generator may be disconnected from a network.

A consumer may move to a different delivery boundary.

A battery may receive energy from new charging sources.

A transmission network may undergo switching or topology changes.

An allocation method may be revised.

A measurement correction may alter previously reported quantities.

New evidence may reveal that an earlier attribution conclusion was unsupported.

These events must not silently rewrite the historical record.

ACCM therefore separates the time when a physical relationship existed, the time when supporting evidence became

available, and the time when an attribution determination was issued.

It establishes version-controlled, evidence-linked, reconstructable attribution histories in which original records,

corrections, reassessments, and superseding determinations remain distinguishable.

Its principal governance sequence is:

Original Attribution State → Change Event → Change Classification → Impact Assessment → Evidence &

Method Version Control → Reassessment → Authorization → New Attribution State → Historical Preservation

→ Continuity Verification

ACCM receives identity records from EFAIM, pathway evidence from FPAM, attribution calculations from EAAM, and

assurance determinations from AVAM.

Its principal governance output is the Attribution Change & Continuity Profile.

2. Operational Role

ACCM establishes the change and continuity governance layer of EFAS.

It governs:

Attribution lifecycle identity.

Original attribution record preservation.

Change event identification.

Change classification.

Source identity changes.

Destination identity changes.

Attribution boundary revisions.

Physical network configuration changes.

Transfer pathway revisions.

Storage charging source changes.

Storage inventory attribution continuity.

Conversion process changes.

Attribution method versioning.

Allocation recalculation.

Measurement corrections.

Evidence availability changes.

Historical as-of assessment.

Retrospective reassessment.

Change authorization.

Reverification.

Governance determination continuity.

Audit-chain integrity.

Historical export completeness.

Machine-readable attribution history.

ACCM ensures that attribution conclusions remain reconstructable according to the physical conditions, evidence,

methods, and governance decisions applicable at each relevant time.

3. Operational Question

How can energy attribution identities, physical pathway relationships, allocation methods, source and

destination quantities, storage and conversion histories, verification results, and governance determinations

remain traceable and historically reconstructable when physical systems, evidence, or methodological rules

change—without allowing later information to silently alter earlier assessments?

4. Position in Architecture Governance Flow

Energy Governance Architecture (EGA™)

Energy Source & Origin → Energy Generation → Energy Conversion → Energy Transmission & Distribution ↔

Energy Storage → Energy Delivery & Consumption

Energy Flow Attribution Standard (EFAS)

EFAIM — Energy Flow Attribution Identification Module

↓

FPAM — Flow Pathway Assessment Module

↓

EAAM — Energy Attribution & Allocation Module

↓

AVAM — Attribution Verification & Assurance Module

↓

ACCM — Attribution Change & Continuity Module

ACCM preserves the temporal and evidentiary continuity of the preceding EFAS modules.

It does not replace their specialized identification, pathway, allocation, or verification responsibilities.

5. Governed Space

Energy Attribution Change Governance, Source & Destination Identity Continuity, Attribution Boundary

Revision, Physical Network Configuration History, Transfer Pathway Change, Storage & Conversion

Attribution Continuity, Attribution Method Versioning, Allocation Revision, Measurement Correction, Temporal

Evidence Integrity, Historical As-Of Assessment, Retrospective Reassessment, Original Record Preservation,

Attribution Provenance, Decision Lineage, Audit-Chain Integrity, Change Authorization, Reverification,

Historical Export Completeness & Evidence-Based Attribution Lifecycle Continuity Governance

The governed space begins with an identifiable attribution state and its supporting records.

It includes all material changes affecting the meaning, validity, or evidentiary support of that state.

It concludes with a traceable current or historical attribution determination and a preserved chain of preceding

records.

6. Governed Object

The primary Governed Object is:

An identifiable energy attribution continuity record linking an original attribution state to subsequent

physical, methodological, evidentiary, or governance changes through explicit versions, effective intervals,

change events, reassessments, authorization records, and preserved historical determinations.

Relevant fields include:

Attribution Continuity ID

Attribution Record ID

Original Attribution Version

Current Attribution Version

Change Event ID

Change Type

Affected Source References

Affected Destination References

Affected Boundary References

Affected Pathway References

Affected Allocation Method

Physical Valid Time

Evidence Availability Time

Assessment Issuance Time

Change Authorization Reference

Reassessment Reference

Original Determination

Current Determination

Evidence References

Audit-Chain Reference

7. Scope

ACCM applies to changes involving:

Electricity Attribution

Thermal Energy Attribution

Steam Attribution

Natural Gas Attribution

Hydrogen Attribution

Liquid Energy Carrier Attribution

Mechanical Energy Attribution

Stored Energy Attribution

Converted Energy Attribution

Multi-Carrier Energy Attribution

It applies across:

Generation Assets

Conversion Facilities

Transmission Networks

Distribution Networks

Storage Systems

Delivery Interfaces

Consumption Facilities

Multi-Source Energy Systems

Multi-Destination Energy Systems

8. Foundational Principle

Energy attribution continuity must preserve the physical, methodological, evidentiary, and governance

conditions under which each attribution conclusion was established, while recording later changes as

explicit, traceable events rather than silently replacing historical records.

Current Attribution State ≠ Historical Attribution State.

New Evidence ≠ Evidence Available at the Original Assessment Time.

Revised Allocation ≠ Original Allocation.

Method Version Change ≠ Automatic Historical Revalidation.

Retrospective Reassessment ≠ Modification of the Original Determination.

9. Attribution Lifecycle Principle

Every material attribution record must possess an identifiable lifecycle.

The lifecycle may include:

Initial Registration

Identity Verification

Pathway Assessment

Allocation

Verification

Active Attribution State

Change Event

Reassessment

Supersession

Closure

Lifecycle transitions must remain traceable.

10. Attribution Continuity Identity

Every material attribution continuity record must possess a persistent identifier.

Relevant fields include:

Continuity ID

Attribution Record ID

Originating Assessment ID

Applicable Physical Boundary

Original Method Version

Current Lifecycle State

Historical Record References

A continuity identifier must not be reused to conceal unrelated attribution relationships.

11. Original Attribution Record Preservation

ACCM requires preservation of the original attribution record.

The preserved record must include applicable:

Source Identities

Destination Identities

Attribution Boundaries

Operating Intervals

Physical Pathway References

Allocation Methods

Input Quantities

Calculated Quantities

Evidence References

Confidence Classifications

Governance Determinations

Later corrections must not silently overwrite the original record.

12. Change Event Identification

Every material attribution change must be represented by an identifiable event.

Relevant fields include:

Change Event ID

Affected Attribution ID

Change Type

Physical Effective Time

Detection Time

Evidence Availability Time

Recorded Time

Change Description

Evidence References

Responsible Authority

13. Change Classification

ACCM recognizes:

Physical Configuration Change

Source Identity Change

Destination Identity Change

Attribution Boundary Change

Transfer Pathway Change

Storage Attribution Change

Conversion Attribution Change

Measurement Correction

Allocation Method Change

Evidence Correction

Governance Determination Change

Administrative Metadata Change

Material changes must be classified according to their actual effect.

14. Physical Versus Administrative Change

A physical change alters the system or relationship being assessed.

An administrative change modifies records without necessarily altering the physical system.

ACCM must distinguish:

Physical State Change

from:

Record or Metadata Correction

An administrative correction must not automatically be represented as a historical physical event.

15. Source Identity Change

A source identity may change because of:

Asset Replacement

Source Reclassification

Generation Facility Modification

Supply Interface Revision

Source Aggregation Change

ACCM must preserve the original and revised source references.

A source identifier change must not automatically imply physical source continuity.

16. Destination Identity Change

A destination may change because of:

Facility Relocation

Delivery Point Revision

Metering Boundary Change

Consumption Boundary Reconfiguration

Destination Aggregation Change

ACCM must preserve the applicable destination identities and validity intervals.

17. Attribution Boundary Change

An attribution boundary may change when physical assets, interfaces, sources, or destinations are added or removed.

Relevant fields include:

Original Boundary ID

Revised Boundary ID

Affected Assets

Affected Interfaces

Effective Interval

Evidence References

Historical attribution calculations must remain linked to their original boundaries.

18. Physical Network Configuration Change

Network topology may change through:

Switching Operations

Line Reconfiguration

Valve Changes

Equipment Isolation

New Connections

Network Expansion

Network Segmentation

ACCM must preserve the applicable configuration history.

A later network configuration must not be substituted for the configuration applicable to an earlier interval.

19. Transfer Pathway Change

A pathway may become available, unavailable, redirected, or modified.

ACCM must identify:

Original Pathway

Revised Pathway

Affected Interfaces

Operating-State Change

Effective Interval

FPAM Reassessment Reference

Pathway changes must not automatically alter historical attribution conclusions.

20. Flow Direction Change

Some energy interfaces support bidirectional transfer.

ACCM must preserve material direction changes.

Relevant transitions include:

Import → Export

Export → Import

Charging → Discharging

Discharging → Charging

Forward → Reverse Flow

A direction change may require renewed pathway and allocation assessment.

21. Generation Source Change

Generation assets may be added, removed, replaced, or temporarily unavailable.

ACCM must preserve source availability changes relevant to attribution.

A previously eligible source must not remain automatically eligible after a material change in its physical operating

status.

22. Conversion Process Change

Conversion facilities may undergo:

Equipment Replacement

Process Reconfiguration

Carrier Change

Input Source Change

Output Interface Change

Operating Method Change

ACCM must preserve the relevant conversion process history.

Material changes may require renewed attribution calculations.

23. Conversion Attribution Continuity

Conversion attribution may depend on multiple inputs and outputs.

ACCM must preserve:

Original Input Source References

Original Output References

Original Conversion Method

Original Loss Treatment

Revised Conversion Relationships

Historical conversion attribution must remain reconstructable.

24. Storage Asset Change

Storage systems may undergo:

Capacity Modification

Equipment Replacement

Charging Interface Revision

Discharging Interface Revision

Operating Strategy Change

Storage Inventory Method Change

ACCM must identify material changes affecting attribution.

25. Storage Charging Source Change

A storage system may begin receiving energy from additional sources.

ACCM must preserve the applicable charging source population for each interval.

New charging sources must not be retroactively inserted into earlier source inventories unless a separately

documented correction establishes that they were previously omitted.

26. Storage Inventory Continuity

Storage attribution may depend on the source composition of an energy inventory.

ACCM must preserve:

Opening Inventory

Charging Contributions

Discharge Allocations

Loss Treatment

Closing Inventory

Applicable Method Version

Inventory changes must remain temporally consistent.

27. Storage Discharge Attribution Change

A revised storage allocation method may change the quantities assigned to original charging sources.

ACCM must preserve both the original and revised allocations.

The revised result must identify the method and evidence responsible for the change.

28. Energy Mixing Change

Energy mixing conditions may change when sources, network configurations, or storage arrangements change.

ACCM must preserve the applicable mixing classification.

A previously unmixed pathway must not remain classified as unmixed after material additional sources enter the

assessed system.

29. Attribution Method Versioning

Every material attribution method must possess an identifiable version.

Relevant fields include:

Method ID

Method Version

Effective Date

Applicable Scope

Calculation Rules

Assumptions

Loss Treatment

Uncertainty Treatment

Approval Reference

Method versions must remain distinguishable.

30. Method Change Classification

Attribution method changes may involve:

Calculation Rule Revision

Allocation Fraction Revision

Temporal Resolution Change

Loss Treatment Change

Source Population Change

Inventory Convention Change

Model Version Change

Evidence Requirement Change

ACCM must classify the material effect of the revision.

31. Method Version Applicability

A method version must be applied according to its defined validity and authorization conditions.

A later method version must not automatically replace the method used in a historical assessment.

Retrospective application requires explicit reassessment.

32. Allocation Revision

An allocation may change because of:

Corrected Source Quantities

Corrected Destination Quantities

Revised Storage Inventory

Changed Loss Treatment

New Measurement Evidence

Revised Method

Corrected Physical Boundary

ACCM must preserve the original calculation and revised calculation separately.

33. Allocation Calculation Lineage

Every revised allocation must identify its calculation lineage.

Relevant fields include:

Original Calculation ID

Revised Calculation ID

Original Input References

Revised Input References

Method Version

Change Reason

Affected Quantities

Reassessment Reference

The lineage must support independent reproduction.

34. Measurement Correction

Measurement records may be corrected because of:

Instrument Error

Data Acquisition Error

Timestamp Correction

Unit Conversion Error

Meter Assignment Error

Reconciliation Finding

ACCM must preserve the original measurement reference and corrected record.

Measurement validity remains governed by EMRS.

35. Measurement Correction Versus Physical Change

A corrected measurement may alter the recorded quantity without changing the physical energy transfer that

occurred.

ACCM must distinguish:

Correction of Historical Evidence

from:

Change in Physical Energy Operation

The distinction must remain explicit in the attribution history.

36. Reconciliation Revision

A revised physical reconciliation may alter eligible energy quantities.

ACCM must preserve:

Original Reconciliation Reference

Revised Reconciliation Reference

Affected Quantities

Applicable Interval

Evidence Availability

Reassessment Decision

A revised reconciliation does not automatically establish a revised source attribution.

37. Attribution Residual Change

Attribution residuals may change following measurement corrections or allocation revisions.

ACCM must preserve:

Original Residual

Revised Residual

Change Cause

Applicable Boundary

Applicable Interval

Evidence References

A reduced residual does not automatically establish improved physical source certainty.

38. Unattributed Energy Change

Previously unattributed energy may become attributable when new evidence becomes available.

ACCM must preserve the original unattributed quantity.

The later attribution must be recorded as a new assessment state with its own evidence and issuance time.

39. Evidence Lifecycle

Evidence may progress through:

Recorded

Available

Reviewed

Validated

Reconciled

Corrected

Superseded

Retained

The evidence lifecycle must remain distinguishable from the physical energy lifecycle.

40. Evidence Provenance Continuity

Every material evidence record must preserve:

Evidence ID

Source

Physical Valid Time

Evidence Availability Time

Record Creation Time

Integrity Reference

Correction References

Supersession References

Evidence provenance must remain reconstructable.

41. Temporal Integrity Principle

ACCM distinguishes three mandatory temporal dimensions.

Physical Valid Time

When the physical energy relationship, configuration, quantity, or attribution condition applied.

Evidence Availability Time

When supporting evidence became available for assessment.

Assessment Issuance Time

When the governance determination was issued.

Physical Valid Time ≠ Evidence Availability Time ≠ Assessment Issuance Time.

These dimensions must not be silently collapsed.

42. Physical Valid Time

Physical valid time identifies the interval during which a physical condition applied.

Examples include:

Generator Operating Interval

Network Configuration Interval

Storage Charging Interval

Storage Discharging Interval

Conversion Process Interval

Consumption Interval

Historical attribution must use the applicable physical conditions.

43. Evidence Availability Time

Evidence availability time identifies when an evidence record became available to the assessing system or authorized

decision process.

A measurement correction issued later may concern an earlier physical interval.

Its earlier physical relevance does not make it available to the original assessment.

44. Assessment Issuance Time

Assessment issuance time identifies when an attribution or verification determination was issued.

The issuance record must identify:

Assessment ID

Assessment Version

Applicable Evidence Set

Applicable Method Version

Governance Determination

Issuance Time

Authority Reference

45. Historical As-Of Assessment

A historical as-of assessment reconstructs the attribution state using the applicable physical configuration and

evidence available by a specified cutoff.

Relevant requirements include:

Historical Physical Configuration

Historical Source and Destination Identities

Applicable Method Version

Evidence Available at Cutoff

Original Measurement References

Original Governance Conditions

Evidence first available after the cutoff must not be silently included.

46. Historical Evidence Cutoff

Every historical as-of assessment must identify its evidence cutoff.

Relevant fields include:

As-Of Time

Eligible Evidence Set

Excluded Later Evidence

Applicable Method Version

Applicable Physical Configuration

Assessment Purpose

The cutoff must be enforceable and auditable.

47. Retrospective Reassessment

A retrospective reassessment evaluates a historical physical interval using evidence or methods not available to the

original assessment.

It must possess:

New Assessment ID

Original Assessment Reference

Historical Physical Interval

New Evidence References

Applicable Reassessment Method

New Issuance Time

Revised Determination

A retrospective reassessment must not overwrite the original determination.

48. Reassessment Trigger

Reassessment may be triggered by:

New Measurement Evidence

Corrected Source Identity

Revised Destination Boundary

Updated Network Topology Evidence

Storage Inventory Correction

Conversion Record Correction

Attribution Method Revision

Verification Finding

Material Contradictory Evidence

The trigger must remain identifiable.

49. Reassessment Scope

A reassessment must define:

Affected Attribution Records

Affected Physical Intervals

Affected Sources

Affected Destinations

Affected Boundaries

Affected Methods

Affected Evidence

Applicable Verification Requirements

The reassessment must not silently extend beyond its defined scope.

50. Change Impact Assessment

Every material change must be evaluated for its effect on:

Attribution Identity

Physical Pathway

Eligible Quantities

Allocation Method

Storage Inventory

Conversion Attribution

Temporal Matching

Double-Counting Controls

Evidence Sufficiency

Governance Determination

The impact assessment determines whether renewed evaluation is required.

51. Change Authorization

Material attribution changes must possess an identifiable authorization basis.

Relevant fields include:

Change Request ID

Change Initiator

Responsible Authority

Authorization Decision

Authorization Time

Affected Records

Approval Evidence

Authorization does not independently establish physical or methodological validity.

52. Separation of Change and Verification Authority

Where organizational controls require independent review, the person or system authorizing a change may differ from

the person or system verifying its correctness.

ACCM must preserve the applicable authority relationships.

A change approval must not automatically be treated as successful verification.

53. Reverification Requirement

Material changes affecting attribution conclusions may require renewed verification under AVAM.

Relevant triggers include:

Source Quantity Revision

Destination Quantity Revision

Method Change

Storage Allocation Change

Physical Boundary Change

Pathway Evidence Change

New Contradictory Evidence

Reverification results must remain linked to the affected attribution versions.

54. Governance Determination Continuity

ACCM preserves:

Original Determination

Change Event

Reassessment Determination

Current Applicable Determination

Historical Determination Status

A revised determination must not erase the original decision.

55. Attribution State Classification

ACCM supports lifecycle states including:

Registered

Under Assessment

Verified Within Scope

Conditionally Verified

Disputed

Superseded

Closed

Retained for Historical Reference

Lifecycle state must remain distinct from the PASS, CONDITIONAL, FAIL, INDETERMINATE, and NOT APPLICABLE

governance determinations.

56. Confidence Continuity

ACCM preserves the confidence classification associated with each attribution version.

The EGA™ confidence framework remains:

Confirmed

Reconciled

Estimated

Conflicted

Unknown

Later evidence may change the confidence classification of a new assessment.

It must not silently rewrite the confidence recorded in an earlier determination.

57. Contradictory Historical Evidence

New evidence may contradict an earlier attribution conclusion.

ACCM must preserve:

Original Evidence

New Evidence

Conflict Description

Affected Attribution

Historical Interval

Reassessment Status

Governance Determination

Contradictory evidence must not be discarded merely because an earlier attribution received a PASS.

58. Audit-Chain Integrity

ACCM requires a traceable audit chain.

The chain must connect:

Original Attribution Record

Original Evidence

Original Method Version

Original Calculation

Original Verification

Change Event

Change Authorization

Revised Evidence

Reassessment

New Determination

The chain must preserve the sequence and provenance of material changes.

59. Fifty Governance Requirements

A conforming ACCM implementation must satisfy the following requirements.

Attribution Lifecycle & Original Records

1. Establish a persistent attribution continuity identifier.

2. Preserve the original attribution record.

3. Preserve original source identities.

4. Preserve original destination identities.

5. Preserve original attribution boundaries.

6. Preserve original physical pathway references.

7. Preserve original operating intervals.

8. Preserve original allocation methods.

9. Preserve original calculation inputs and outputs.

10. Preserve original governance determinations.

Change Identification & Physical Continuity

11. Establish identifiable change events.

12. Classify material change types.

13. Distinguish physical changes from administrative corrections.

14. Preserve source identity changes.

15. Preserve destination identity changes.

16. Preserve attribution boundary revisions.

17. Preserve network configuration changes.

18. Preserve transfer pathway revisions.

19. Preserve material conversion process changes.

20. Preserve storage charging and discharging relationship changes.

Method, Quantity & Evidence Continuity

21. Preserve storage inventory attribution continuity.

22. Preserve material energy mixing changes.

23. Maintain attribution method version identities.

24. Preserve method applicability intervals.

25. Preserve original and revised allocation calculations.

26. Preserve calculation lineage.

27. Preserve measurement correction references.

28. Distinguish measurement corrections from physical changes.

29. Preserve reconciliation revisions.

30. Preserve attribution residual and unattributed energy changes.

Temporal Integrity & Reassessment

31. Preserve physical valid time.

32. Preserve evidence availability time.

33. Preserve assessment issuance time.

34. Enforce historical as-of evidence cutoffs.

35. Preserve applicable historical method versions.

36. Prevent later evidence from silently entering historical as-of assessments.

37. Establish separate retrospective reassessment identities.

38. Preserve original and retrospective determinations.

39. Identify material reassessment triggers.

40. Define reassessment scope and affected records.

Authorization, Verification & Auditability

41. Evaluate material change impacts.

42. Preserve change authorization records.

43. Preserve applicable authority separation requirements.

44. Trigger reverification when material attribution conditions change.

45. Preserve confidence classifications by assessment version.

46. Preserve contradictory historical evidence.

47. Maintain complete attribution decision lineage.

48. Preserve tamper-evident or otherwise integrity-verifiable audit-chain references.

49. Ensure historical exports include original records, evidence, methods, calculations, changes, reassessments,

and determinations.

50. Produce an Attribution Change & Continuity Profile.

60. Governance Logic

Original Attribution State → Change Detection → Change Classification → Impact Assessment → Evidence

Review → Method Version Assessment → Recalculation or Reassessment → Authorization → Reverification

→ New State → Historical Preservation

For physical changes:

Physical Change → Effective Interval → Affected Attribution → Pathway & Quantity Review → New

Determination

For method changes:

Original Method → Revised Method → Applicability Assessment → New Calculation → Reverification →

Versioned Attribution

For evidence corrections:

Original Evidence → Correction Event → Revised Evidence → Retrospective Reassessment → New

Determination

For historical reconstruction:

As-Of Cutoff → Historical Physical State → Eligible Evidence → Applicable Method → Historical

Determination

The governance logic must preserve the original assessment independently of later changes.

61. Governance Outputs

The principal output is:

Attribution Change & Continuity Profile

Supporting outputs may include:

Attribution Lifecycle Register

Original Attribution Record Archive

Attribution Change Event Register

Change Classification Record

Physical Versus Administrative Change Record

Source Identity Change Profile

Destination Identity Change Profile

Attribution Boundary Revision Record

Network Configuration History

Transfer Pathway Change Register

Flow Direction Change Record

Generation Source Change Record

Conversion Process Change Record

Conversion Attribution Continuity Profile

Storage Asset Change Record

Storage Charging Source History

Storage Inventory Continuity Record

Storage Discharge Attribution Revision

Energy Mixing Change Record

Attribution Method Version Register

Method Change Classification Record

Method Applicability History

Allocation Revision Record

Allocation Calculation Lineage

Measurement Correction Reference

Measurement Versus Physical Change Record

Reconciliation Revision Record

Attribution Residual History

Unattributed Energy History

Evidence Lifecycle Register

Evidence Provenance History

Temporal Integrity Record

Historical As-Of Assessment Profile

Historical Evidence Cutoff Record

Retrospective Reassessment Record

Reassessment Trigger Register

Reassessment Scope Record

Change Impact Assessment

Change Authorization Record

Authority Separation Record

Reverification Record

Governance Determination History

Attribution Lifecycle State Record

Confidence Classification History

Contradictory Historical Evidence Register

Audit-Chain Integrity Record

Historical Export Completeness Record

Outputs must preserve original and revised attribution states without silent overwriting.

62. Minimum Implementation Framework

A minimum ACCM implementation establishes eight governance layers.

Layer 1 — Persistent Attribution Identity

Establish the attribution continuity identifier and preserve the original source, destination, boundary, pathway, quantity,

and method references.

Layer 2 — Change Event Registration

Identify physical, methodological, evidentiary, and administrative changes through persistent change events.

Layer 3 — Physical & Methodological Impact Assessment

Evaluate the effects of changes on topology, source identity, storage, conversion, eligible quantities, allocation

methods, and verification conditions.

Layer 4 — Temporal Evidence Governance

Preserve physical valid time, evidence availability time, assessment issuance time, and enforceable historical as-of

cutoffs.

Layer 5 — Versioned Allocation & Reassessment

Preserve original calculations and establish separate revised calculations, method versions, and retrospective

assessments.

Layer 6 — Authorization & Reverification

Preserve change authorization and trigger appropriate reassessment and AVAM reverification.

Layer 7 — Historical Determination & Audit Chain

Preserve original and revised determinations, confidence classifications, evidence conflicts, decision lineage, and

audit integrity.

Layer 8 — Export, Interoperability & Reconstruction

Produce machine-readable continuity records and complete historical exports supporting independent reconstruction.

No specific proprietary technology is mandatory.

63. Cross-Module Boundary

EFAIM — Energy Flow Attribution Identification Module

Establishes source, destination, boundary, carrier, interface, and interval identities.

ACCM preserves identity changes and historical references.

FPAM — Flow Pathway Assessment Module

Evaluates physical topology, transfer pathways, operating states, and energy mixing.

ACCM preserves pathway revisions and historical configuration evidence.

EAAM — Energy Attribution & Allocation Module

Establishes attribution methods, calculations, eligible quantities, and allocation records.

ACCM preserves method versions, original calculations, revisions, and reassessments.

AVAM — Attribution Verification & Assurance Module

Evaluates attribution conformity, evidence sufficiency, double counting, and assurance.

ACCM preserves verification histories, original determinations, and reverification results.

64. Cross-Architecture Boundary

ESOS — Energy Source & Origin Standard

Provides source and origin context.

ACCM preserves changes to source references used in attribution.

EGS — Energy Generation Standard

Provides generation asset and operating-state histories.

ACCM preserves attribution consequences of generation changes.

ECS — Energy Conversion Standard

Provides conversion process and configuration histories.

ACCM preserves conversion attribution continuity.

ETDS — Energy Transmission & Distribution Standard

Provides network topology and configuration history.

ACCM preserves the effect of network changes on attribution relationships.

ESS — Energy Storage Standard

Provides storage state, charging, discharging, and operational history.

ACCM preserves storage-mediated attribution continuity.

EDCS — Energy Delivery & Consumption Standard

Provides delivery and consumption boundary histories.

ACCM preserves destination attribution changes.

ESBS — Energy System Balancing Standard

Provides relevant balancing and operating-state context.

ACCM preserves references to historical balancing evidence used in attribution.

EMRS — Energy Measurement & Reconciliation Standard

Provides measurement corrections and reconciliation history.

ACCM preserves their effects on attribution without replacing measurement governance.

EELS — Energy Efficiency & Loss Standard

Provides specialized efficiency and loss histories.

ACCM preserves references to loss evidence affecting allocation.

ECDS — Energy Claims & Disclosure Standard

Governs downstream energy claims and disclosures.

ACCM supplies historical attribution evidence, revisions, and assurance continuity.

65. Verification Framework

ACCM supports explicit verification tests.

Original Record Test: Is the original attribution record preserved?

Identity Continuity Test: Are source and destination changes traceable?

Boundary Change Test: Are physical boundary revisions explicit?

Topology History Test: Are historical network configurations preserved?

Pathway Change Test: Are transfer pathway revisions identifiable?

Storage Continuity Test: Are charging, inventory, and discharge attribution histories reconstructable?

Method Version Test: Are original and revised attribution methods distinguishable?

Calculation Lineage Test: Can original and revised allocations be reproduced?

Measurement Correction Test: Are corrected measurements linked to original evidence?

Temporal Integrity Test: Are physical valid time, evidence availability time, and assessment issuance time

separated?

As-Of Test: Does historical reconstruction exclude evidence unavailable at the cutoff?

Retrospective Reassessment Test: Are later reassessments separately identified?

Authorization Test: Are material changes supported by applicable authorization records?

Reverification Test: Are material changes reassessed where required?

Audit-Chain Test: Are original records and subsequent changes linked without silent overwrites?

Export Completeness Test: Does the historical export contain the records necessary for independent

reconstruction?

66. Non-Conformity Classification

ACCM recognizes:

Attribution Lifecycle Identity Non-Conformity

Original Record Preservation Non-Conformity

Change Event Registration Non-Conformity

Physical Versus Administrative Change Non-Conformity

Source Identity Continuity Non-Conformity

Destination Identity Continuity Non-Conformity

Attribution Boundary History Non-Conformity

Network Configuration History Non-Conformity

Transfer Pathway Continuity Non-Conformity

Storage Inventory Continuity Non-Conformity

Conversion Attribution Continuity Non-Conformity

Attribution Method Version Non-Conformity

Allocation Calculation Lineage Non-Conformity

Measurement Correction History Non-Conformity

Temporal Evidence Integrity Non-Conformity

Historical As-Of Assessment Non-Conformity

Retrospective Reassessment Non-Conformity

Change Authorization Non-Conformity

Reverification Non-Conformity

Historical Export & Audit-Chain Non-Conformity

Non-conformities must identify the affected attribution record, change event, historical interval, evidence, method

version, and requirement.

A continuity non-conformity does not automatically establish physical energy loss, contractual breach, regulatory

violation, or legal liability.

67. Practical Use Case 1 — Historical Electricity Attribution Rewritten

After a Network Configuration Change

Situation

An industrial facility receives electricity through a distribution network.

During January, the facility's attribution assessment uses:

Network Topology Version 1

Source Population A + B

Attribution Method Version 1

January Measurement Evidence

The January attribution receives a documented governance determination.

In March, the distribution network is reconfigured.

A new generation source is connected.

The network operator updates its topology database to:

Network Topology Version 2

Source Population A + B + C

A reporting system subsequently recalculates January attribution using the March network topology and includes

Source C as though it had been connected during January.

The original January assessment is overwritten.

ACCM Assessment

ACCM identifies:

January Physical Configuration: Version 1

March Physical Configuration: Version 2

Source C January Eligibility: Not Supported

Historical Topology Substitution: Detected

Original January Attribution Record: Not Preserved

The March configuration must not be applied to January merely because it is the latest available topology.

The January assessment must remain linked to the physical configuration and evidence applicable to its historical

interval.

Governance Determination

FAIL — Historical Attribution Was Rewritten Using a Later Physical Configuration, and the Original

Assessment Was Not Preserved.

Methodological Lesson

A later network configuration must not silently replace the physical conditions or attribution conclusions

applicable to an earlier operating interval.

68. Practical Use Case 2 — Corrected Storage Measurement Changes a

Historical Source Allocation

Situation

A battery storage system receives energy from two sources.

The original charging records show:

Solar Source A: 40 MWh

Network Source B: 60 MWh

Total Charging Energy: 100 MWh

The battery later discharges:

90 MWh

Using a proportional allocation method, the original assessment assigns:

Solar-Allocated Discharge: 36 MWh

Network-Allocated Discharge: 54 MWh

The original assessment is issued in February.

In April, a measurement investigation identifies an error in the historical charging records.

The corrected measurements establish:

Solar Source A: 50 MWh

Network Source B: 50 MWh

Total Charging Energy: 100 MWh

The battery discharge remains:

90 MWh

A retrospective proportional allocation now produces:

Solar-Allocated Discharge: 45 MWh

Network-Allocated Discharge: 45 MWh

ACCM Assessment

ACCM requires preservation of:

Original February Assessment

Original Charging Measurements

Original Proportional Allocation

Original Governance Determination

April Measurement Correction

Corrected Charging Measurements

Retrospective Reassessment

Revised Proportional Allocation

New Governance Determination

The revised allocation may be supported by the corrected evidence.

However, the corrected evidence was not available to the original February assessment.

The original record must therefore remain preserved.

Governance Determination

CONDITIONAL — The Revised Allocation May Be Accepted as a Retrospective Reassessment Subject to

Measurement Validation, Reverification, and Complete Preservation of the Original Assessment.

If the original assessment is silently overwritten, the historical continuity requirement fails.

Methodological Lesson

A corrected historical energy allocation must be issued as a traceable reassessment, not as an invisible

replacement of the original calculation and determination.

69. Temporal Integrity & Historical Reconstruction

ACCM establishes mandatory temporal separation:

Physical Valid Time ≠ Evidence Availability Time ≠ Assessment Issuance Time.

Historical reconstruction must identify:

Applicable Physical Configuration

Applicable Source and Destination Identities

Applicable Attribution Boundary

Applicable Method Version

Evidence Available at the Historical Cutoff

Original Allocation Inputs

Original Calculations

Original Verification Results

Original Governance Determination

A historical as-of assessment must exclude evidence first available after its cutoff.

A retrospective reassessment may use later evidence only when separately identified and issued.

The original historical record must remain preserved.

70. GIE™ Compatibility

ACCM is designed for methodological compatibility with GIE™ — Governance Intelligence Engine.

Potential machine-readable objects include:

Attribution Continuity Record

Original Attribution State

Change Event

Change Classification

Physical Configuration Version

Source Identity Version

Destination Identity Version

Attribution Boundary Version

Physical Pathway Version

Storage Inventory Version

Conversion Process Version

Attribution Method Version

Original Allocation Calculation

Revised Allocation Calculation

Measurement Correction

Evidence Availability Time

Physical Valid Time

Assessment Issuance Time

Historical As-Of Cutoff

Retrospective Reassessment

Change Authorization

Reverification Record

Governance Determination History

Audit-Chain Reference

Historical Export Record

A compatible implementation may support automated checks for:

Historical Assessments Using Future Evidence

Historical Attribution Using Later Topology Versions

Missing Original Allocation Records

Silent Attribution Method Replacement

Unversioned Storage Inventory Revisions

Measurement Corrections Without Original Evidence

Retrospective Reassessments Without Separate IDs

Revised Determinations Overwriting Original Decisions

Missing Change Authorization

Incomplete Historical Audit Exports

GIE-Compatible: Yes establishes methodological and architectural compatibility.

It does not establish completed production integration, validated software behavior, or external certification.

71. Canonical Boundary

ACCM — Attribution Change & Continuity Module governs the preservation, versioning, reassessment,

authorization, and historical reconstruction of energy attribution identities, physical pathway relationships,

allocation methods, quantities, evidence, and governance determinations.

It establishes methodological requirements for:

Attribution Lifecycle Identity

Original Record Preservation

Change Event Registration

Source & Destination Continuity

Attribution Boundary History

Network Configuration History

Physical Pathway Changes

Storage Attribution Continuity

Conversion Attribution Continuity

Method Versioning

Allocation Revision

Measurement Correction References

Temporal Evidence Integrity

Historical As-Of Assessment

Retrospective Reassessment

Change Authorization

Reverification

Governance Determination History

Audit-Chain Integrity

Historical Export Completeness

ACCM does not independently determine physical source identity, observed energy flow, attribution quantities,

measurement validity, or final assurance.

Those responsibilities remain assigned to EFAIM, FPAM, EAAM, AVAM, and the applicable specialized EGA

standards.

Its principal governance output is:

Attribution Change & Continuity Profile

72. Canonical Closing Statement

Energy attribution cannot remain trustworthy over time if changes to physical systems, allocation methods,

measurements, or evidence silently alter the historical record.

A network may be reconfigured after an attribution assessment.

A generation source may become unavailable.

A storage system may receive energy from additional charging sources.

An allocation method may be revised.

A measurement error may be discovered months after the original assessment.

And new evidence may demonstrate that an earlier source attribution was incomplete or unsupported.

These events may justify new conclusions, but they do not justify erasing the conditions under which the original

conclusions were established.

ACCM establishes the methodological structure required to preserve attribution identity, physical configuration history,

method versions, original calculations, evidence availability, reassessment lineage, authorization, verification, and

governance determinations.

It provides the continuity foundation required for independent historical reconstruction and evidence-based attribution

governance.

ACCM ensures that energy attribution evolves through explicit, versioned, evidence-supported changes while

preserving the original physical, methodological, and governance history—rather than allowing later

information to silently rewrite what was previously known, calculated, verified, or determined.