Short answer
The answer, before the reasoning
Build GRI 103 reporting from a controlled energy ledger, not an emissions spreadsheet. Record fuel, purchased energy, self-generation, energy sold and significant value-chain energy by site, source, activity, period and unit.
Apply documented conversion factors, prevent double counting and reconcile to utility, operational and finance records. Estimates are possible when supplier data are unavailable, but the affected categories, methodology, coverage and uncertainty must be transparent.
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PUBLIC ARTICLE
In practice
FORMAT
| FORMAT | LANGUAGE | VERSION |
|---|---|---|
| How-to Guide | British English | 1.0 • 1 August 2026 |
Energy reporting begins with flows, not totals
GRI 103 requires more than a single figure for electricity and fuel. The organisation needs to understand how energy enters, is generated, is consumed, is sold and is used across significant upstream and downstream activities. That requires a controlled flow model. Each record should identify the site or value-chain category, energy type, source, activity, period, original unit, conversion factor, converted value, evidence and review status.
The reporting boundary is equally important. A group can own, lease, operate or share facilities under different arrangements; utilities may be billed by landlords; self-generation may feed both on-site use and the grid; acquisitions and closures may change the period. Without a boundary rule and reconciliation process, the final GRI table can be numerically precise but conceptually wrong.
Figure 1. A controlled energy dataset separates source records, transformations and reporting outputs, with an explicit control against double counting.
Quick orientation
- APPLIES TO Reporting teams, energy managers, finance controllers and data owners
- PRIMARY DECISION Which energy flows belong within the organisation, which significant flows belong upstream or downstream, and how totals, intensity and reductions will be controlled.
- KEY SOURCES GRI 103: Energy 2025, especially Disclosures 103-2 to 103-5, togethe
- COMMON CONFUSION Treating utility cost, renewable certificates, GHG emissions and energy consumption as interchangeable measures.
Rule
EFFECTIVE DATE
GRI 103 is effective for reports or other materials published on or after 1 January 2027. Teams preparing 2026 data for 2027 publication should establish the new source, activity, boundary and contractual-instrument fields before year-end.
In practice
The four core reporting outputs
| Disclosure | What is reported | Boundary question — Core evidence |
|---|---|---|
| 103-2 | Energy consumption within the organisation, including fuel, purchased electricity, heating, cooling and steam; self-generated renewable energy consumed; energy sold; source splits, contractual instruments and methods. | Which sites, entities, leased premises and controlled activities are included, and how are internal transfers treated? — Invoices, meters, fuel records, generation/export logs, contracts and conversion-factor register. |
| 103-3 | Significant upstream and downstream energy consumption, categories and methodology. | Which value-chain activities are significant and how far does the calculation extend? — Supplier data, product/activity data, recognised factors, estimate methodology and coverage analysis. |
| 103-4 | Energy-intensity ratio, numerator, denominator, energy types and organisational boundary. | Does the ratio use the same boundary and period as the reported energy numerator? — Controlled numerator, production/revenue/FTE denominator, method and reconciliation. |
| 103-5 | Reductions in energy consumption, energy types, boundary, method, baseline and whether figures are measured, estimated or modelled. | Is the reported change caused by efficiency or conservation rather than output, outsourcing, weather or boundary change? — Project records, adjusted baseline, engineering calculation, meter data and approval. |
Step 1 — Define the organisational energy boundary
The boundary should be stated before data are requested. The reporting team should define which entities and sites are included, how leased spaces are treated, how joint operations are handled, and how acquisitions, disposals, closures and temporary operations affect the reporting period. The boundary should also be capable of supporting the energy-intensity denominator and comparison with prior periods.
In practice
| Situation | Practical boundary treatment | Evidence / control |
|---|---|---|
| Owned and operated site | Include energy used in activities within the reporting boundary and classify by source and activity. | Site master, meter map and operational sign-off. |
| Leased office with landlord billing | Use landlord or tenant data where the energy is consumed within the organisation; disclose estimates or allocation methods where direct data are unavailable. | Lease, landlord statement, floor-area or occupancy allocation and reasonableness review. |
| On-site generation | Record input fuel or renewable source, generated output, on-site consumption and energy sold. Prevent duplicate counting of the same flow. | Generation meters, fuel records, export meter and transformation logic. |
| Shared or joint site | Apply the organisation’s stated boundary and consolidation rule; avoid mixing 100% site energy with partial operational responsibility without explanation. | Agreement, control assessment, allocation method and approval. |
| Acquisition or disposal | Define inclusion dates and comparability treatment; explain material boundary changes and restatements where applicable. | Transaction date, site status and prior-year reconciliation. |
| Data centre or outsourced operation | Assess whether energy is within the organisation or a significant value-chain category based on the arrangement and impact pathway. | Contract, service description, metering/estimate and boundary decision log. |
Step 2 — Create a source-level energy dictionary
A data dictionary prevents different sites from using the same label for different flows. It should define the record before any conversion or consolidation. The fields below are a recommended implementation structure.
In practice
| Field | Definition / example | Control rule |
|---|---|---|
| Record ID | Unique transaction, meter-period or source-file line. | No duplicates; traceable to original evidence. |
| Entity and site | Legal entity, operating site, country and site status. | Reconcile to controlled site master. |
| Reporting period | Start/end date and invoice or meter period. | Accruals and overlaps identified. |
| Energy flow | Fuel purchased/consumed; purchased electricity, heating, cooling or steam; self-generated renewable consumed; energy sold; upstream/downstream category. | Use a controlled flow taxonomy. |
| Energy source | Renewable or non-renewable source and specific type, such as natural gas, diesel, biomass, solar or wind. | Source classification supported by evidence. |
| Activity | Production, fleet, buildings, generation, logistics or another relevant activity. | Enables disclosure breakdown and management analysis. |
| Original quantity and unit | kWh, MWh, litres, tonnes, cubic metres or supplier-specific unit. | Retain unconverted value. |
| Conversion factor | Factor, unit basis, source, version and applicable geography/period. | Approved factor register; no manual overwrite. |
| Converted energy | Joules or multiples used for aggregation. | Formula locked and independently recalculated. |
| Contractual instrument | Instrument type, supplier, validity period, volume and quality criteria, where relevant. | No renewable claim without documentary support. |
| Estimate status | Measured, allocated, estimated or modelled; method and coverage. | Estimate flag cannot be blank. |
| Owner / reviewer / evidence | Named roles, review date and evidence location. | Preparation and review separated. |
Step 3 — Capture within-organisation energy without double counting
The within-organisation ledger should keep distinct source flows until final aggregation. Fuel consumption is split between renewable and non-renewable sources and, where useful, by activity. Purchased electricity, heating, cooling and steam are recorded by type and source. Self-generated renewable energy consumed by the organisation and energy sold are separately visible.
Rule
DOUBLE-COUNT CONTROL
Where fuel is used to generate electricity that is consumed on site, the fuel input is reported as fuel consumption. Adding the generated electricity again to the total would count the same energy flow twice. The ledger should retain generation output for operational analysis while the reporting aggregation applies the GRI 103 treatment.
In practice
| Flow example | Correct ledger view | Common error |
|---|---|---|
| Natural gas used in a combined heat and power unit | Record natural-gas input once; separately retain generated electricity/heat and export information for reconciliation. | Add gas input, generated electricity and generated heat as three independent consumption totals. |
| Solar electricity generated and consumed on site | Record self-generated renewable energy consumed by type and activity. | Treat the solar output as purchased electricity or omit it because there is no invoice. |
| Purchased electricity with contractual instruments | Record consumption and the relevant source/instrument information, including quality criteria and validity. | Classify all purchased electricity as renewable based only on a supplier tariff name. |
| Electricity exported to the grid | Record as energy sold, separate from energy consumed within the organisation. | Net exports against consumption without explaining gross flows. |
| Landlord-supplied heating | Record purchased heating using measured or transparent allocated data. | Exclude it because the organisation did not receive a utility invoice. |
Step 4 — Consolidate multiple sites and currencies of data
1. Freeze the entity and site master for the reporting period and identify acquisitions, disposals, closures and new facilities.
2. Map every meter, invoice, tank, fleet card, generation unit and landlord allocation to a controlled site ID.
3. Check completeness by expected source: each active site should have a defined electricity, fuel and other-energy profile.
4. Standardise original units and preserve the original value before conversion.
5. Apply centrally approved conversion factors by energy type, geography and period.
6. Identify overlaps, invoice reversals, duplicate uploads, estimated accruals and gaps between meter and billing periods.
7. Reconcile energy quantities to utility costs, fuel procurement and operating statistics without treating cost as the primary energy measure.
8. Review material year-on-year movements by site, source and activity and document operational explanations.
9. Aggregate only after site-level sign-off; retain site totals and group-consolidation adjustments.
10. Lock the final dataset, record version and approval, and reconcile published figures to the Content Index and climate disclosures.
Step 5 — Address supplier and value-chain energy gaps
Disclosure 103-3 focuses on significant upstream and downstream energy consumption. The reporting team should first define the categories relevant to the organisation’s impacts, then select the best available data hierarchy. Primary supplier energy can be highly useful, but it is not automatically comparable: boundaries, product allocation and energy sources need review.
In practice
| Data level | Example | Required transparency |
|---|---|---|
| Supplier-specific primary data | Energy used to manufacture the purchased product at identified facilities. | Supplier boundary, period, product allocation, energy types, source evidence and review. |
| Supplier estimate or verified platform data | Supplier-calculated product or service energy based on a documented method. | Method, verification status, coverage and residual assumptions. |
| Activity data × recognised factor | Tonnes purchased, tonne-kilometres, use hours or other activity multiplied by an energy factor. | Activity source, factor source/version, unit conversion and geographic/technology relevance. |
| Spend-based or broad proxy | Spend or market data used where activity information is absent. | Strong limitation note, affected categories, estimated share and improvement plan. |
| Modelled downstream use | Product use profile, life, geography and energy demand assumptions. | Scenario, user behaviour, efficiency assumptions, uncertainty and sensitivity. |
Rule
ESTIMATE DISCLOSURE
Where primary data are unavailable, GRI 103 allows estimates for upstream and downstream energy. The organisation should identify the categories using estimates, explain the method and assumptions, and quantify or otherwise describe the affected coverage. Estimates should be improved, not hidden.
Step 6 — Build an intensity ratio that can be explained
An intensity ratio is meaningful only when the numerator and denominator describe the same organisational scope and period. The organisation should state the energy types included in the numerator, the denominator chosen and the reason it represents activity. Common denominators include production units, service output, floor area, revenue or full-time-equivalent workers, but the choice should not mask changes in product mix or outsourcing.
In practice
| Test | Reviewer question | Evidence |
|---|---|---|
| Boundary | Are the sites and entities in the energy numerator also represented in the denominator? | Site/entity mapping and denominator reconciliation. |
| Period | Do numerator and denominator cover the same reporting dates? | Period controls and accrual treatment. |
| Energy types | Which fuel, electricity, heating, cooling or steam flows are included? | Intensity methodology and dataset filter. |
| Denominator stability | Has the denominator definition changed or been restated? | Method version and prior-period bridge. |
| Interpretation | Could intensity improve while absolute energy rises because output grew? | Absolute and intensity trends shown together. |
Step 7 — Separate real energy reductions from other changes
GRI 103-5 is intended to show reductions arising from conservation and efficiency initiatives or other stated factors, not every year-on-year decrease. A factory closure, lower production, warmer winter, outsourcing or boundary change may reduce the reported total without representing improved energy performance. The reduction file should therefore explain the counterfactual or baseline and the calculation method.
In practice
| Observed change | Can it be called an energy reduction? | Required treatment |
|---|---|---|
| Metered saving from an efficiency project at comparable output | Potentially yes, if boundary, baseline and method are controlled. | Report energy type, project, measured/estimated/modelled status, baseline and calculation. |
| Lower consumption because production fell 25% | Not automatically. | Separate activity effect from efficiency effect; use normalisation if appropriate. |
| Site sold during the year | No as an operational reduction unless separately demonstrated. | Explain boundary change and comparability treatment. |
| Energy-intensive process outsourced | Not automatically; energy may move to the value chain. | Assess upstream/downstream implications and avoid claiming elimination of impact. |
| Weather-related reduction in heating | Not an efficiency result unless adjusted evidence supports it. | Explain weather effect and methodology. |
Reconciliation checks against utility, operations and finance records
• ☐ Every active site has an expected-energy profile and either data or an approved gap record.
• ☐ Meter periods, invoice periods and the reporting period have no unexplained overlaps or omissions.
• ☐ Fuel purchases, stock movements and consumption are reconciled where tanks or inventory exist.
• ☐ Energy quantities are compared with utility and fuel costs, with price changes separated from volume changes.
• ☐ All original units remain available and every conversion uses an approved factor and version.
• ☐ Renewable/non-renewable classifications have source or contractual-instrument evidence.
• ☐ Contractual-instrument volumes do not exceed relevant consumption and validity periods match the report.
• ☐ Self-generated energy, on-site use and energy sold reconcile to generation and export meters.
• ☐ Fuel used in on-site generation is not double counted as generated energy consumption.
• ☐ Landlord and shared-site allocations have an approved basis and reasonableness test.
• ☐ Material acquisitions, disposals and closures are reflected consistently in energy and financial/site records.
• ☐ Year-on-year movements above the review threshold have documented operational explanations.
• ☐ Value-chain estimates identify categories, activity data, factors, coverage and uncertainty.
• ☐ Intensity numerator and denominator use the same boundary and period.
• ☐ Energy reductions are separated from output, outsourcing, weather and boundary effects.
Hypothetical example — a multi-site manufacturer
The group creates a meter-and-source register for each site, converts all original units through a central factor table, records landlord allocations as estimates and flags their coverage, and separates the combined heat and power fuel input from its generated output. It uses activity data and recognised factors for the two raw materials and discloses those categories as estimated. Intensity is calculated per tonne of saleable product using only sites included in the energy numerator. Reduction claims exclude the acquired plant’s partial-year effect and a production slowdown.
Hypothetical scenario
ILLUSTRATIVE SCENARIO
A manufacturer has 14 plants, three leased warehouses, a solar installation at two sites and a combined heat and power unit at one plant. Some warehouses receive only annual landlord statements. A recently acquired plant reports in gigajoules while the rest of the group uses megawatt-hours. Supplier energy is unavailable for two significant raw materials.
Illustrative only. It shows how the decision is made, not wording that can be copied or relied on.
In practice
| Weak wording | Stronger, controlled wording |
|---|---|
| “Energy use fell by 8% due to our efficiency programme, and 75% of electricity was renewable.” | “Energy consumption within the reporting boundary was 2.46 PJ, 3% below the prior-year restated total. Of the 0.18 PJ decrease, 0.06 PJ was attributable to verified efficiency projects, 0.08 PJ to lower production and 0.04 PJ to the disposal of Site X. Purchased electricity was 0.91 PJ. Contractual instruments covering 64% of that volume met the quality criteria described in our methodology; the remaining electricity is reported by supplier or grid source. Landlord-allocated energy for three warehouses represents 2.4% of within-organisation energy and is estimated using occupied floor area.” |
Common mistakes
• Using energy cost as a substitute for energy quantity.
• Mixing gross fuel input, generated electricity and exported electricity in one total.
• Classifying electricity as renewable without retaining contractual-instrument evidence and quality criteria.
• Excluding leased premises because the landlord pays the utility.
• Converting site data with inconsistent factors or deleting the original units.
• Reporting a value-chain estimate without identifying the categories and proportion affected.
• Changing the intensity denominator when it produces a more favourable trend.
• Calling every decline a reduction without separating production, weather, outsourcing and boundary effects.
Rule
MYTH VERSUS REALITY
Myth: The GHG inventory already contains everything needed for GRI 103. Reality: emissions and energy are related but not identical. GRI 103 requires energy flows, sources, activities, contractual instruments, value-chain energy, intensity and reductions. A shared dataset is efficient, but each disclosure needs its own boundary and calculation checks.
Bottom line
A credible GRI 103 disclosure is built from a transparent ledger that a reviewer can trace back to meters, invoices, contracts, factors and operating records. The strongest first-year system does not hide landlord allocations or supplier estimates; it labels them, controls them and establishes a plan to replace weak evidence. Once that foundation exists, energy and GHG reporting can share data without collapsing into the same calculation.
Official source anchors
The source set below should be rechecked as part of the pre-publication update control. Normative conclusions in this article are based on the current official editions listed here.
1. GRI 103: Energy 2025. Official requirements and guidance for within-organisation energy, value-chain energy, intensity, reductions, units and conversion factors. Open official source
2. GRI 103: Energy 2025 — Frequently Asked Questions. Official implementation clarifications and transition information. Open official source
3. GRI 102: Climate Change 2025. Official climate disclosures that use related GHG, target and transition-plan information. Open official source
4. GRI 1: Foundation 2021. Official reporting principles, including accuracy, comparability, completeness and verifiability. Open official source
5. GRI Standards — English language. Official access point for current Standards, effective dates and publication versions. Open official source
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