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GRI 103: Energy · 2025
Disclosure GRI 103-3

Upstream and downstream energy consumption

Practical guidance for preparing this disclosure. Use this card to identify datapoints, verify claims and organise supporting evidence. For exact requirements, always refer to the official GRI source.

Dr Ross Kurinko, GRI Certified Trainer
Reviewed by Dr Ross Kurinko · GRI Certified Trainer LRA educational guidance · Not issued or endorsed by GRI
To prepare this disclosure
Disclosure focus

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.

Before you start

A quick mental checklist before you prepare this disclosure — tick each as you settle it.

Preparation

Key datapoints to prepare

Datapoint What to capture Evidence hint Owner
Energy use by source Capture the amounts of energy used before and after the organisation’s own operations, split into renewable and non-renewable sources, and grouped by category. Energy bills, utility summaries, fuel logs, procurement records, and any internal energy tracking workbook that shows the split by source and category. Sustainability / Operations / Facilities
Upstream calculation basis Capture the methods, assumptions, tools, standards and conversion factors used to work out upstream energy figures. Calculation workbook, methodology note, emissions or energy factor library, tool settings, and any documented assumptions used in the upstream model. Sustainability / Data / Finance
+ Show GRI 103-3 sub-elements (LRA working checklist)

How to prepare it

1Set the reporting boundary first: decide which parts of the business, sites, activities, and value-chain flows are in scope for the energy information you will report.
2Separate the energy data into the required categories, making sure you can distinguish energy used upstream and downstream, and split it between renewable and non-renewable sources where relevant.
3Gather the underlying records that support the numbers, such as meter data, invoices, estimates, and any source files used to build the totals.
4Keep a clear record of the methods behind the figures: note the standards you followed, the assumptions you made, the calculation tools you used, and any conversion factors applied to the upstream data.
5Compile the final disclosure in a way that shows the figures or narrative clearly, with the category breakdowns and supporting method information aligned to the same reporting period.
6Before sign-off, check the disclosure against the official source material, and document any exclusions, boundary changes, or methodological updates so the reader can see what changed and why.
Request the data

Request energy use data from Operations

Translate the disclosure into an internal business question — then adapt it to your organisation's own language.

What energy use sits in our upstream and downstream activities, split into renewable and non-renewable, and what method did we use to calculate it?

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.

Weak request

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.

Better request

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.

Formal email template
Subject: Request for energy data for [reporting period]

Hi [name/team],

We are preparing the sustainability report and need your help with the energy figures you hold for [business area / activity]. Please send the data for [reporting period], using the categories your team already works with, and split the figures between renewable and non-renewable where possible.

Please also include:
- the source file or system extract
- the method used to build the figures
- any assumptions, estimates, or allocation rules
- any conversion factors used
- the person who prepared or checked the numbers

If you have more than one dataset, please send the version that best reflects the final numbers used in reporting. A possible LRA training template is attached; please adapt this to your organisation and check the official source before sign-off.

Thanks,
[preparer name]
Short Teams / Slack version
Hi [name] — could you send the energy data for [reporting period] for [business area/activity], using your usual internal categories? Please split renewable and non-renewable if you can, and include the source file, method, assumptions, conversion factors, and who checked it. Thanks.
Industry examples
Manufacturing

Context. A plant team tracks inbound freight, outsourced finishing, and product use estimates in separate files.

Adapted request. Hi [name] — please send the energy figures for inbound freight, outsourced finishing, and product use for [reporting period]. Use your usual site categories, split renewable and non-renewable where possible, and include the source file, calculation method, assumptions, and conversion factors.

Example response. Inbound freight: 1,240,000 MJ non-renewable; outsourced finishing: 310,000 MJ non-renewable; product use estimate: 2,100,000 MJ split 180,000 MJ renewable and 1,920,000 MJ non-renewable. Source files: freight tracker v4, supplier workbook v2, product model v3. Method: direct data plus modelled estimate. Assumptions: average load factor and standard use profile. Conversion factors: grid factor 2025 v1.

Retail / Distribution

Context. A logistics team holds warehouse electricity, third-party transport, and customer delivery estimates in a transport planning tool.

Adapted request. Please share the energy data your team holds for warehouse operations, third-party transport, and customer deliveries for [reporting period]. Use your normal operational labels, split renewable and non-renewable if available, and attach the extract, method notes, assumptions, and any conversion tables.

Example response. Warehouse operations: 860,000 kWh renewable and 1,140,000 kWh non-renewable; third-party transport: 4,500,000 MJ non-renewable; customer deliveries: 1,200,000 MJ non-renewable. Source: transport planning tool export and site utility tracker. Method: meter data for warehouses, supplier-reported fuel use for transport, and route-based estimate for deliveries. Assumptions: average route distance and vehicle class mix. Conversion factors: internal energy conversion table dated [date].

Draft your disclosure

Notes that turn data into a disclosure

LRA training templates — adapt them to your organisation, and check the official source before sign-off.

Method note

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.

Context note

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.

Fluctuation statement

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.

Content index entry
GRI 103-3 Upstream and downstream energy consumption — [location / page] / [notes]
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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.

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Go deeper · GRI 103-3
Learn to prepare this disclosure end-to-end

This guide covers one disclosure. The GRI Standards Certified Training — taken as a bundle with an ESRS course — walks the full workflow: datapoints, evidence, drafting and assurance, with exercises on your own data.

Available as Guided Flex, Live Cohort, 1:1 Expert Mentorship or Corporate Programme.

Assurance readiness

For each claim, check the evidence

ClaimRiskEvidence to check
We grouped the energy figure by source type and by where the use sits in the value chain, so the published split shows both our own and external energy use in a way we can explain.An assurer may test whether the split is complete, whether the categories were applied consistently, and whether any material energy use was left out or double-counted.Working papers showing the classification logic, the underlying activity data, the final calculation file, and review notes confirming the published breakdown matches the source records.
We used a documented method for the upstream part of the calculation, including the assumptions, tools and conversion factors, and we kept the supporting files that show how the numbers were built.An assurer may probe whether the method was applied consistently, whether assumptions were reasonable and approved, and whether the conversion factors and tools were suitable and current.Method statement, calculation workbook or model, list of assumptions, source of conversion factors, version history for tools or templates, and sign-off evidence from the internal review before publication.
We checked the coverage figure against the underlying records before release, so we can show how the disclosed total was assembled and why the chosen scope is appropriate.An assurer may challenge the boundary decision, the completeness of the records used, and whether the final figure agrees to the supporting data.Boundary memo, population or site list, reconciliation to source systems, exception log, and evidence of management review or challenge before the report went live.
We retained evidence for the disclosed operations and the related calculations, so the reported number can be traced back to the original data and the steps used to turn it into the final figure.An assurer may look for traceability from the published number back to source data, and may test whether the audit trail is complete and tamper-resistant.Source extracts, calculation trail, file naming/version control, data owner confirmations, and archived copies of the final report pack.
Before publication, we ran checks on the data quality and the final presentation, including reasonableness review and cross-checks to make sure the figure was internally consistent.An assurer may test whether the checks were designed well enough to catch errors, whether issues found were resolved, and whether the final output agrees with the checked version.Quality-control checklist, variance analysis, exception follow-up, approval emails or workflow records, and the final published version compared with the reviewed draft.

Evidence pack to prepare

Common reporting gaps

Units are missing or inconsistent across the figures.The reporting scope or boundary for the numbers is unclear.Estimates are not distinguished from measured values.Parts of the total are double-counted or omitted.Restatements of prior-period figures are not disclosed.The calculation method or data source is not documented.
Common gaps

Mistakes to avoid when collecting the data

Wrong owner chased
The request goes to a team that only sees direct fuel or power bills, so the people holding supplier, logistics, or customer-use data are never asked.
Framework language used too early
The data call is written in reporting jargon instead of the organisation’s own operational terms, and the right teams do not recognise what they are meant to pull together.
Boundary left vague
No one states which parts of the business, suppliers, or customer-related activities are in scope, so different teams collect different slices of the same activity.
+ Show 6 more

Where judgement is often needed

Acquisitions and disposals during the year
Set a clear cut-off date for adding or removing sites, then explain whether you used ownership date, control date, or another internal trigger so the period covered is consistent.
Different country definitions for energy types
Where local labels or billing categories do not line up across countries, map them to one internal classification and disclose the mapping rule used so like-for-like totals can be understood.
Operations near the boundary of scope
Decide in advance how to treat leased sites, contractors, joint arrangements, and other borderline activities, then state the inclusion rule and any exclusions that materially affect the total.
+ Show 6 more
Examples

Illustrative examples

Synthetic, written by LRA — not from a company report, not text from any standard.

Illustrative (synthetic) example — food processing

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.

Illustrative (synthetic) example — consumer electronics

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.

Company reportsReal published reports
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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.

Ayala Corporation
None · Philippines · 2025
Open report →
Ayala Corporation's Integrated Report 2025 provides detailed data on upstream and downstream energy consumption, reporting values of 30,272,404 GJ, 60,678,754 GJ, and 55,434,733 GJ on page 80. The report also includes information on energy consumption from purchased electricity within the organisation, with figures presented on page 79. However, no numeric value (b) was found or clearly reported in the document.
Interconexión Eléctrica S.A. E.S.P.
Electric Utilities / IPP / Energy Traders · Colombia · 2024
Open report →
Interconexión Eléctrica S.A. E.S.P.'s 2024 Integrated Management Report includes references to investments in renewable energy and carbon footprint measurement platforms, specifically noting USD 9.44 million invested in these areas (p.65). The report also mentions conservation or restoration actions benefiting 480,000 hectares with an emission reduction potential of approximately 9.2 million (p.92). However, no specific numeric values or detailed quantitative data related to the disclosure were found in the report.
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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.

QShould the disclosure separate the energy linked to the supply chain and the energy linked to product use, and should each be shown by renewable and non-renewable source?
Reveal model answer →

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.

QCan the combined total be used on its own, or does the preparer need to keep the method trail for the upstream estimate as well?
Reveal model answer →

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.

QShould the downstream estimate be left out because it is approximate, or can it still be reported if it is the best available figure?
Reveal model answer →

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.

QIs a single undivided total enough, or does the preparer need to break the figures into source types before finalising the disclosure?
Reveal model answer →
Framework references

Related framework references

How this disclosure maps across the major reporting frameworks.

GRI
GRI 103-3
within GRI 103: Energy
Open official source →
Primary
Related & explore
Go deeper · GRI 103-3
Learn to prepare this disclosure end-to-end

This guide covers one disclosure. The GRI Standards Certified Training — taken as a bundle with an ESRS course — walks the full workflow: datapoints, evidence, drafting and assurance, with exercises on your own data.

Available as Guided Flex, Live Cohort, 1:1 Expert Mentorship or Corporate Programme.

FAQ

Questions this page answers

For GRI 103-3 Energy, what data do I need to prepare before I start drafting the disclosure?+
How do I use the step-by-step 'how to prepare' section for GRI 103-3 Energy?+
Who should own the GRI 103-3 Energy data collection and sign-off process?+
What should I include in the evidence pack for GRI 103-3 Energy assurance readiness?+
What are the five assurance claims I need to check for GRI 103-3 Energy?+
What are the common reporting gaps or mistakes on the GRI 103-3 Energy page?+
How do I use the synthetic illustrative example for GRI 103-3 Energy without copying it into my report?+
What should the draft output for GRI 103-3 Energy look like on this page?+
How do I use the Prep & Assurance workbook for GRI 103-3 Energy?+
What is the printable Library Card PDF for GRI 103-3 Energy used for?+
Can I use the 'From company reports' table to see how real organisations disclose GRI 103-3 Energy?+
More questions this page can help with
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