This disclosure asks an organisation to explain how much energy is used outside its own direct operations, by activities linked to its value chain upstream and downstream. In practice, the focus is on showing the scale of that energy use, the parts of the value chain it relates to, and the basis used to identify and measure it, rather than only reporting energy consumed at owned or controlled sites.
The practical question is whether the organisation has looked beyond its own buildings and facilities to capture energy use connected with suppliers, logistics, product use, or other downstream activities where relevant. A useful report should make clear the coverage, any exclusions, and whether the figures reflect the whole business or only selected activities or locations.
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 energy use data from Operations
Translate the disclosure into an internal business question — then adapt it to your organisation's own language.
Use your organisation’s own labels first, then map them to the reporting categories. For example, ask for the energy figures your teams already track for purchased services, logistics, product use, or other value-chain activities, rather than using framework wording in the first ask. Check the source records and the official source before sign-off.
Please provide the upstream and downstream energy consumption disclosure data for the reporting period.
Why it fails: It uses framework language only, so the owner may not know which teams, systems, or activity buckets to pull from. It also does not ask for the method, assumptions, or conversion factors needed to understand how the figures were built.
Please send the energy figures your team already tracks for [business area/activity] in [reporting period], split into renewable and non-renewable where possible. Include the source file or system, the method used, any assumptions or allocation rules, and the conversion factors used so we can map the numbers into the report.
Notes that turn data into a disclosure
LRA training templates — adapt them to your organisation, and check the official source before sign-off.
Set out the basis used to compile the upstream figures, including the definitions applied, the calculation approach, any assumptions made, the tools used and the conversion factors applied.
Explain what the energy figures cover across upstream and downstream activities, and how the split between renewable and non-renewable sources helps readers understand the organisation’s energy profile.
If the numbers moved materially, describe the main operational or data-related reasons for the change and note whether it reflects a real shift in energy use or a change in how the figures were prepared.
Preparation tools & forms
Professional preparation tools for GRI 103-3 — 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.
We have prepared this synthetic example to show how we would describe the main energy used in our value chain and the method behind the upstream figures. In this illustration, our purchased goods and services account for 1,200 MWh of upstream energy, of which 720 MWh is from non-renewable sources and 480 MWh from renewable sources; our transport and distribution activities add 300 MWh upstream, split between 210 MWh non-renewable and 90 MWh renewable. - For the upstream estimate, we used supplier activity data where available, filled gaps with spend-based proxies, applied an internal calculation model in spreadsheet software, and converted fuel and electricity inputs to MWh using published conversion factors from recognised energy datasets. - On the downstream side, this synthetic company records 900 MWh from sold products in use, with 630 MWh non-renewable and 270 MWh renewable, plus 150 MWh from end-of-life treatment, split 105 MWh non-renewable and 45 MWh renewable.
Illustrative only: shows a narrative way to present major energy use across the value chain, with a clear split between renewable and non-renewable sources and a brief note on the upstream calculation approach.
This synthetic disclosure shows how we would summarise the biggest energy demands linked to our products and services, together with the approach used for the upstream estimate. In this example, upstream logistics and warehousing total 500 MWh, made up of 350 MWh non-renewable and 150 MWh renewable, while upstream component sourcing totals 1,000 MWh, split 700 MWh non-renewable and 300 MWh renewable. - To build the upstream numbers, we combined supplier-reported energy data with engineering estimates for missing items, used a custom calculation workbook, and applied conversion factors from national energy statistics and utility emission-energy datasets. - Downstream, customer use of our sold devices is 1,800 MWh in total, with 1,260 MWh from non-renewable energy and 540 MWh from renewable energy; take-back and recycling at end of life add 200 MWh, split 140 MWh non-renewable and 60 MWh renewable.
Illustrative only: shows a second sector with different energy hotspots, while still covering the split between renewable and non-renewable energy and the upstream calculation basis.
How companies report GRI 103-3 in practice
Real reports where this topic is disclosed. These are report practice, not exact disclosure templates to copy.

Scenarios to work through
A manufacturer buys components from several suppliers and also sells finished goods that are used by customers for years. The team has estimated energy linked to both the supply chain and product use, but the figures are split across electricity, gas and fuel.
A retailer has estimated energy used by suppliers to make packaging and by customers to run a product, but the team only has a single combined total from a consultant. The consultant can also provide the working papers, assumptions and conversion factors used in the estimate.
A food company has detailed data for energy used by farms and processors in its supply chain, but only rough estimates for energy linked to consumer cooking after purchase. The reporting team is unsure whether to include the downstream estimate because it is less precise.
A utility group has calculated energy linked to purchased materials, transport and product use, but the numbers are all in one spreadsheet with no split between renewable and non-renewable sources. The sustainability lead is deciding whether the current draft is ready for review.
Related framework references
How this disclosure maps across the major reporting frameworks.
Questions this page answers
The page says to prepare two datapoints: energy use by source and the upstream calculation basis. Use those as the starting point for your data request and drafting plan.
Use it as a practical workflow to move from scoping and data collection to a draft disclosure. It is designed to help you organise the work rather than replace your own judgement.
The page is set up for sustainability/ESG managers, HR or data owners, and assurance reviewers to work from the same pack. In practice, you should assign ownership for the source data, the calculation basis, and the final review so the evidence pack is complete.
The page includes an evidence pack with five items to support assurance readiness. Use it alongside the assurance claims section so you can show the claim, the risk, and the supporting evidence together.
The page provides five assurance claims to verify, each linked to a risk and evidence. Use them to test whether your draft is supported before it goes to review.
The page lists common gaps and mistakes so you can spot issues before submission. It is useful for a pre-assurance check and for tightening the draft narrative and data table.
The example is there to show how a disclosure can be structured and how the numbers can be presented in a consistent way. Treat it as a model for format and logic only, not as a template to reuse unchanged.
The page gives draft-output ideas including visualisation options, narrative starters, and a content-index line. Use those to turn your checked data into a first-pass disclosure.
The workbook is meant to help you organise preparation and assurance checks in one place. Use it to track the datapoints, evidence, and review steps before you finalise the draft.
The Library Card is a printable companion to the page content. It can help you keep the key points to hand while you collect data, check evidence, and draft the disclosure.
Yes. The page includes a table of links to real published reports at the pages where the topic is disclosed, which you can use as a practical reference point for structure and presentation.
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