This disclosure asks an organisation to explain how much energy it uses outside its own operations, rather than only within sites it directly controls. In practice, that means looking at energy consumption linked to activities in the value chain or other external arrangements that are relevant to the organisation’s reporting boundary, and describing the amounts in a way that is clear and comparable.
The practical focus is on coverage and completeness: whether the organisation has considered all relevant external energy use, not just a few flagship locations or the easiest-to-measure cases. A useful report should make clear what is included, what is left out, and how the organisation has identified and measured the energy use it reports.
This LRA educational guidance supports disclosure preparation. For the exact requirements, always refer to the official GRI source.
A quick mental checklist before you prepare this disclosure — tick each as you settle it.
Key datapoints to prepare
How to prepare it
Request off-site energy use data and calculation notes
Translate the disclosure into an internal business question — then adapt it to your organisation's own language.
Use your organisation’s own terms first — for example, the labels used by fleet, logistics, travel, facilities, or service teams — then map those terms to the reporting disclosure. Keep the ask in the language people already use internally, and check the source material before sign-off.
Please provide the GRI 302-2 evidence for energy consumption outside the organisation, including methodologies and conversion factor sources.
Why it fails: It uses framework language that many operational teams will not recognise, and it does not tell the owner which internal records, labels, systems, or time period to pull from. That makes it harder to answer quickly and increases the chance of an incomplete return.
Please send the off-site energy use figures for [reporting period] from your usual records for [business area/activity], plus the method, assumptions, calculation tool, and factor source used. If you have separate files for travel, fleet, logistics, or other off-site activity, include those and note any estimates or exclusions.
Notes that turn data into a disclosure
LRA training templates — adapt them to your organisation, and check the official source before sign-off.
State the basis used to turn the underlying activity data into the reported energy figures, including the calculation approach, any assumptions applied, and the source of the conversion factors.
Explain what the reported external energy total represents in practical terms, for example which off-site activities or services it covers and how it should be read alongside the rest of the energy picture.
If the figure moved materially, describe the operational or data-related reasons for the change, such as a shift in outsourced activity, a change in calculation method, or an updated factor set.
Preparation tools & forms
Professional preparation tools for GRI 302-2 — free with an LRA Community membership. Register once (it's free) and every download unlocks, together with the Disclosure Library, templates and the LRA AI-assistant.
For each claim, check the evidence
Evidence pack to prepare
Common reporting gaps
Mistakes to avoid when collecting the data
Where judgement is often needed
Illustrative examples
Synthetic, written by LRA — not from a company report, not text from any standard.
*Synthetic illustration only.* We estimated the electricity and fuel used by contractors and logistics partners while serving our operations, then added those amounts to show the energy linked to activity beyond our own sites. - The calculation used supplier activity data where available, with spend-based estimates for the remaining cases, and we applied a simple allocation approach for shared transport legs. - Conversion factors came from the latest UK government emissions and energy conversion tables, with any missing values taken from the relevant fuel supplier documentation.
This example shows how a company might describe energy use tied to activities outside its own premises, together with the methods and factor sources used to build the estimate.
*Synthetic illustration only.* We compiled the energy associated with outsourced data-centre hosting, leased vehicle use, and other contracted services that support our work but sit beyond our own premises. - We combined meter readings from service providers with modelled estimates for the gaps, using a location-based approach for electricity and direct fuel records for vehicles. - The conversion factors were taken from the national government conversion dataset and, where needed, from the service providers' technical schedules.
This example shows a different type of reporter explaining energy linked to external operations, plus the calculation approach and where the conversion factors came from.
How companies report GRI 302-2
Real reports where this topic is disclosed. These are report practice, not exact disclosure templates to copy.

Scenarios to work through
A logistics team has fuel data for subcontracted deliveries and wants to include the diesel used by those vehicles in the reporting period. The team also has electricity used by a third-party warehouse that stores the organisation’s goods.
A preparer has two ways to estimate courier fuel use: one based on mileage and vehicle type, and another based on supplier invoices for a sample of routes. The team chooses the mileage method because it covers all routes, but the sample invoice method gives slightly different results.
An energy analyst uses a spreadsheet with built-in conversion factors copied from a public database last updated two years ago. The analyst can see the numbers work, but the file does not note where the factors came from.
A company reports fuel used by leased delivery vans operated by a contractor, but excludes electricity used by a data-processing service provider because the provider bills it as part of a service fee. The team is unsure whether to mention the calculation basis for the included fuel only.
Related framework references
How this disclosure maps across the major reporting frameworks.
Questions this page answers
The page says to prepare three datapoints: external energy use, the calculation basis, and the source of the conversion factor. Use those as your starting checklist before you write the disclosure.
Use it as a working guide to move from data collection to a draft disclosure, rather than as a finished answer. It is there to help you organise the information, check what is missing, and build the disclosure in a sensible order.
The page includes an evidence pack with five items to support assurance readiness. Use that pack to keep the source records, calculations and supporting material together so a reviewer can trace the numbers back to evidence.
The page says there are four assurance claims to check, each with a claim, risk and evidence angle. Use them to test whether the disclosure is supported, consistent and ready for review before you finalise it.
The page lists common gaps and mistakes to watch for, so it is useful as a pre-submission check. Review those points against your draft to catch missing data, weak calculations or unclear explanations before sign-off.
The Download Centre includes a Prep & Assurance workbook in .xlsx format. Use it to organise the preparation steps, capture the required datapoints and keep the evidence trail in one place.
The page offers a printable Library Card in PDF format alongside the workbook. It is a practical companion for keeping the disclosure guidance, preparation points and assurance checks easy to hand.
The page includes draft-output support with visualisation ideas, narrative starters and a GRI content-index line. Use those to shape the wording and presentation once your data and evidence are in place.
The page includes synthetic illustrative example disclosures, including a quantitative table. Use them as a model for structure and consistency, but treat them as examples only and make sure your own figures and totals are internally consistent.
The page notes ESRS E1 (Climate Change) as the closest correspondence, so the data may be reusable across reporting work. It does not say the requirements are identical, so you should still check the other framework separately.
The page is written for sustainability/ESG managers, HR or data owners, and assurance reviewers, so ownership can sit with whichever role is coordinating the data and evidence. The key is to assign someone to manage the preparation, checks and final draft.
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