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Last reviewed June 2026
Authored by Jeremiah Say

Lead Systems Architect at GreenCalculus. Translates GHG Protocol methodology into high-precision JavaScript calculation engines. Architect of the MasterBrain data layer covering 1,000+ environmental tools, aligned with IPCC AR6 and the GHG Protocol Corporate Standard (2026 revision).

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Location-Based Method (Scope 2)

Location-Based Method (Scope 2) - same grid, same factor. UK 2025 grid 0.177; US 2025 grid 0.350 kgCO2e per kWh. Production-mix averages.
Data layer: MB v2026.20 Β· updated 28 Jun 2026

The location-based method is the Scope 2 figure that does not change when a company signs a renewable PPA, retires Guarantees of Origin, or switches to a green tariff. It moves only when the underlying grid decarbonises. That is its design purpose β€” and the reason every CSRD, CDP, and SBTi disclosure that includes a market-based Scope 2 number must also include the location-based figure alongside it.

The location-based method appears simple β€” multiply consumption by a grid factor β€” but four decisions inside that single multiplication separate an audit-grade calculation from a verification finding: which grid factor (national, sub-national, or supplier-specific), which vintage, which geographic boundary, and which gross-vs-net basis. This article delivers the full factor hierarchy, the dual-reporting rule, the four boundary traps that recur at third-party verification, and worked examples across a 70Γ— emission-intensity range β€” same kilowatt-hours, different country, different number.

Quick Answer

The location-based method calculates Scope 2 emissions using the average emissions intensity of the grid on which the company’s electricity (or steam, heat, or cooling) is consumed β€” typically a national or sub-national average factor published by a regulator (DEFRA, EPA eGRID) or international body (IEA). It is one of the two methods mandated by the GHG Protocol Scope 2 Guidance under the dual reporting requirement: every Scope 2 disclosure must include a location-based figure, and where market-based instruments (EACs, PPAs, green tariffs) are claimed, both methods must be reported. The location-based figure does not respond to procurement β€” buying EACs or signing a PPA does not reduce it. It changes only when the underlying grid decarbonises. Core formula: tCOβ‚‚e = kWh consumed Γ— grid factor (kg COβ‚‚e/kWh) Γ· 1,000.

2 Methods. One required baseline. The figure that never goes to zero β€” even with 100% renewable EAC coverage.

Definition and GHG Protocol Basis

The location-based method is one of two methods defined by the GHG Protocol Scope 2 Guidance (2015) for quantifying Scope 2 emissions β€” the indirect greenhouse gas emissions from purchased electricity, steam, heat, and cooling consumed by the reporting company. Where the market-based method reflects emissions from electricity the company has contractually purchased through instruments such as EACs, PPAs, supplier-specific tariffs, or residual mix, the location-based method reflects emissions from electricity that physically flowed through the grids serving the company’s facilities.

The defining principle is grid-average attribution: every megawatt-hour consumed in a given grid region in a given year is assigned the same emissions intensity, regardless of who paid for which generation source. The factor is a population average β€” kilograms of COβ‚‚-equivalent per kilowatt-hour generated within the geographic boundary, divided across all consumption inside that boundary. A site running on rooftop solar in California receives the same WECC-CAMX subregion factor as the warehouse next door drawing exclusively from a coal-heavy contract. The method is deliberately blind to procurement.

The location-based method covers all seven Kyoto Protocol gases β€” COβ‚‚, CHβ‚„, Nβ‚‚O, HFCs, PFCs, SF₆, NF₃ β€” captured in upstream generation and converted to a common reporting unit using Global Warming Potential at AR6 GWP-100. Most regulator-published grid factors (DEFRA, EPA eGRID, IEA) ship as a single COβ‚‚e value with the gas mix already aggregated; companies do not need to apply GWP conversion separately when using these published factors.

Key takeaway

The location-based method answers a single question: “What was the average emissions intensity of the grid that physically supplied this site, multiplied by what we consumed?” It does not answer “what did we contract for”, “what did we generate on-site”, or “what certificates did we retire”. Those questions are the market-based method’s job. The two methods produce different numbers from the same kilowatt-hours by design β€” and the GHG Protocol Scope 2 Guidance requires both to be reported wherever market-based instruments are claimed.

The Dual Reporting Requirement

The GHG Protocol Scope 2 Guidance (2015) introduced what it calls the dual reporting requirement: every reporting company that uses any market-based instrument β€” EACs, RECs, REGOs, GOs, PPAs, supplier-specific tariffs, green tariffs β€” must report both a location-based Scope 2 figure and a market-based Scope 2 figure. The location-based figure is the universal baseline; the market-based figure is the contractual overlay. Reporting one without the other for a company that participates in market-based instruments is non-compliant with the Scope 2 Guidance.

The rule has a narrow carve-out: a company operating exclusively in a market with no commercially available contractual instruments β€” and making no green-tariff or PPA claim β€” may report the location-based figure alone. In practice, this exception is shrinking; almost every major market (EU AIB, UK REGO, US REC, Asia-Pacific I-REC) supports tradable certificates, and the carve-out is rarely the right answer for a multinational reporter.

Warning Β· dual reporting is not optional

A common error is to publish only the market-based figure once a company has signed renewable contracts β€” the headline-friendly, lower number. CSRD/ESRS E1 datapoint E1-6 requires both figures. ISO 14064-1:2018 assurance pipelines test for both. CDP C6.3 requires both. SBTi target validation requires both. Publishing the market-based number alone is a verification finding β€” and at the SBTi validation stage, grounds for rejection. The location-based figure is the floor that procurement claims must be measured against.

Factor Hierarchy β€” Which Grid Factor to Use

The GHG Protocol Scope 2 Guidance defines a factor selection hierarchy for the location-based method. The principle is geographic specificity first: use the most localised credible factor available, then fall back upward through the hierarchy as data thins. This applies one decision rule consistently across geographies β€” and prevents the silent over- or under-statement that occurs when a national average is used where a sub-national factor is published.

The four-tier hierarchy

  1. Sub-national / regional grid factor β€” preferred where published. EPA eGRID subregions for the US (e.g. US_NYUP at 0.110 kg COβ‚‚e/kWh vs US_SRMW at 0.566 kg COβ‚‚e/kWh β€” a 5Γ— difference inside one country). AIB residual mix factors for individual EU member states. State or provincial averages where the grid operator publishes them. Use this tier whenever a credible sub-national factor exists for the consumption location.
  2. National grid average β€” the standard tier for most countries. DEFRA for the UK (0.131 kg COβ‚‚e/kWh, DEFRA 2025). Ember Yearly Electricity 2025 country averages for everywhere else (0.330 for Germany, 0.670 for India, 0.041 for France). EPA national average for the US where subregion is unknown (0.350 kg COβ‚‚e/kWh). National factors are the default for cross-country corporate inventories.
  3. Regional / multi-country grid average β€” for synchronised areas where national-level data is missing or unreliable. ENTSO-E European average for cross-border EU consumption where supplier sourcing is opaque. African Power Pool averages for sub-Saharan operations not covered by IEA country data.
  4. Default global factor β€” last-resort fallback for sites in countries with no published grid data. The IEA global average is used here, with explicit documentation that no better factor was available. This tier should appear only in screening exercises and edge cases, never as the default for material consumption.

Factor source by geography

Geography Preferred source Tier Vintage / cadence Notes
United Kingdom DEFRA grid average National Annual (June release) Single national factor; no sub-national tier published.
European Union (each MS) AIB residual mix Β· IEA location National Annual AIB residual mix is the standard for market-based; IEA country average for location-based.
United States EPA eGRID subregion Sub-national Biennial 26 NERC subregions. Use subregion factor where consumption ZIP is known.
Canada ECCC provincial Sub-national Annual Hydro-rich provinces (QC, BC, MB) differ by 30Γ— from coal provinces (AB, SK).
India, China, ASEAN Ember Yearly Electricity 2025 National Annual India 0.670 kg COβ‚‚e/kWh; Singapore 0.497; Malaysia 0.602.
Rest of world IEA country average National Annual ~150 countries covered; gap-fill with regional pool average.
Scope 2 Quality Criteria β€” vintage and geographic specificity

The GHG Protocol Scope 2 Guidance establishes Scope 2 Quality Criteria that govern factor selection for both methods. For the location-based method, the two binding criteria are (1) geographic specificity β€” use the most localised credible factor available β€” and (2) vintage β€” use a factor for the same year as the consumption being reported, or the most recent published year if same-year is unavailable. Mixing a 2026 consumption figure with a 2018 grid factor is a Quality Criteria failure, even if the result happens to be conservative. The full eight Quality Criteria β€” including the additional five that govern market-based factor selection β€” sit on the dedicated /standards/ghg-protocol-scope-2-guidance/ reference page.

Core Formula and Worked Examples

Every location-based Scope 2 calculation reduces to the same multiplication.

Core formula

tCOβ‚‚e = kWh consumed Γ— grid factor (kg COβ‚‚e/kWh) Γ· 1,000

Grid factor selected per the Β§3 hierarchy. Vintage matched to consumption year where possible.

Worked examples β€” same load, different geography

The same 50,000 kWh annual office consumption produces a 70Γ— emission delta depending on where it is consumed. This is why geographic factor selection dominates every other calculation decision in Scope 2.

Scenario Factor (kg COβ‚‚e/kWh) Calculation Result (tCOβ‚‚e)
UK office β€” 50,000 kWh/year 0.177 (DEFRA 2025) 50,000 Γ— 0.177 / 1,000 8.85
Germany office β€” 50,000 kWh/year 0.330 (Ember Yearly Electricity 2025) 50,000 Γ— 0.330 / 1,000 16.50
France office β€” 50,000 kWh/year 0.041 (Ember Yearly Electricity 2025) 50,000 Γ— 0.041 / 1,000 2.05
Norway office β€” 50,000 kWh/year cleanest 0.028 (Ember Yearly Electricity 2025) 50,000 Γ— 0.028 / 1,000 1.40
Poland office β€” 50,000 kWh/year 0.589 (Ember Yearly Electricity 2025) 50,000 Γ— 0.589 / 1,000 29.45
India manufacturing β€” 500,000 kWh/year 10Γ— load 0.670 (Ember Yearly Electricity 2025) 500,000 Γ— 0.670 / 1,000 335.00
US β€” Upstate NY (NYUP) β€” 50,000 kWh/year 0.110 (EPA eGRID 2023) 50,000 Γ— 0.110 / 1,000 5.50
US β€” SERC Midwest (SRMW) β€” 50,000 kWh/year 0.566 (EPA eGRID 2023) 50,000 Γ— 0.566 / 1,000 28.30
UK district heating β€” 200,000 kWh thermal/year 0.193 (DEFRA 2025) 200,000 Γ— 0.193 / 1,000 38.60

MasterBrain v2025.6 factors throughout. Norway (1.40 tCOβ‚‚e) vs Poland (29.45 tCOβ‚‚e) on identical consumption demonstrates a 70Γ— delta from grid mix alone β€” no procurement, no efficiency, no consumption change. The two US rows demonstrate the same point inside one country: NYUP vs SRMW differ by 5Γ— because the US-national average masks underlying subregion variance. The district heating row applies the location-based method to purchased thermal energy under DEFRA’s blended UK heat-network factor.

Geography dominates β€” and that is the point

The 70Γ— delta between Norway and Poland on identical 50,000 kWh consumption is not a calculation artefact. It is the location-based method working as designed. The method’s job is to expose underlying grid carbon intensity so the company can either (a) reduce consumption, (b) relocate consumption to cleaner grids, or (c) procure cleaner electricity contractually β€” which moves the market-based figure but does not move the location-based one. A multinational with operations across this range cannot meaningfully report Scope 2 as a single line; per-site or per-country location-based detail is the only way to surface where reduction effort actually pays.

T&D Losses β€” The Scope 3 Cat 3 Boundary

Grid factors published by regulators (DEFRA, EPA eGRID, IEA) are typically expressed at the generation gate, not at the meter. Between the power station and the consumer’s meter, electricity is lost as heat in transmission lines, transformers, and distribution networks. UK grid losses average approximately 8% of net consumption; US losses average 5–7%; some emerging-market grids exceed 15%. These losses are real emissions β€” generated to deliver the power that made it through β€” but they are not Scope 2 for the consumer.

Under the GHG Protocol, transmission and distribution losses associated with purchased grid electricity are Scope 3 Category 3 (Fuel- and energy-related activities) for the consuming company. The generator emitted them; the consumer’s Scope 2 captures the gross-generation factor; the gap between gross generation and net consumption is a Scope 3 Cat 3 sub-item.

Warning Β· T&D losses belong in Scope 3 Cat 3, not Scope 2

A recurring misclassification: companies grossing-up their Scope 2 location-based figure by ~8% to “include T&D losses” double-count if the published grid factor already reflects gross generation (which DEFRA, EPA eGRID, and IEA all do). The correct treatment is: Scope 2 = consumed kWh Γ— gross-generation factor; Scope 3 Cat 3b = consumed kWh Γ— T&D loss percentage Γ— grid factor (or DEFRA’s dedicated T&D factor). For a UK office consuming 50,000 kWh, that adds 50,000 Γ— 0.08 Γ— 0.177 / 1,000 β‰ˆ 0.71 tCOβ‚‚e to Scope 3 Cat 3b β€” not to Scope 2. Worth seven additional reportable tonnes for a 1 GWh consumer; not a rounding error.

Location-Based vs Market-Based β€” Critical Distinction

The two methods answer different questions about the same kilowatt-hours. The table below summarises the structural differences that drive the dual-reporting requirement.

Dimension Location-Based Market-Based
Question answered What did the grid emit on average to deliver this electricity? What did the contractual instruments held by this company emit?
Factor source Regulator-published grid average (DEFRA, EPA eGRID, IEA) Supplier-specific factor β†’ EAC retirement β†’ residual mix
Geographic basis Sub-national β†’ national β†’ regional β†’ global (per Β§3 hierarchy) Same market boundary as the EAC scheme (e.g. EU AIB area)
Effect of buying EACs None. Does not change the location-based figure. Reduces market-based figure to the EAC’s emission factor (typically zero).
Effect of signing a PPA None (unless on-site behind-the-meter). Reduces market-based figure if PPA includes EACs and they are retired.
What changes the number key contrast Grid decarbonisation. Consumption reduction. Site relocation. Procurement: EACs, PPAs, green tariffs, supplier switching.
Floor value at 100% renewable contracts Grid factor Γ— kWh β€” does not reach zero unless grid does. ~0 tCOβ‚‚e if all instruments are zero-emission EACs.
Reporting requirement Always required. Required wherever market-based instruments are claimed.
Use in SBTi target Acceptable basis under either methodology. Acceptable; SBTi increasingly requires hourly-matched CFE for net-zero.
RE100 delta β€” why location-based never reaches zero

A company that sources 100% of its electricity through retired EACs (the RE100 commitment) reports a market-based Scope 2 of approximately zero. Its location-based Scope 2 remains unchanged β€” full grid factor Γ— full consumption. The gap between the two figures is sometimes called the “RE100 delta”, and it is the operationally important number for two audiences: (1) regulators assessing whether contractual claims correspond to physical decarbonisation, and (2) sustainability teams evaluating whether their procurement is moving genuine demand toward clean generation or simply purchasing certificates from existing renewable assets. A large and persistent RE100 delta indicates the company has bought claims faster than the grid has decarbonised β€” the hourly-matched, additional-and-bundled procurement standards (24/7 CFE, EnergyTag, SBTi Net-Zero Standard updates) exist to close it.

Boundary and Classification Traps

Four configurations cause the majority of location-based misclassification errors at third-party verification. Each is symmetrical β€” the same emission can be assigned wrongly in either direction.

Trap 1 β€” On-site generation is Scope 1, not Scope 2

Electricity generated on-site by a company-owned source β€” diesel genset, gas turbine, on-site solar with no grid export β€” produces emissions that belong to Scope 1 (combustion or, for solar, zero) rather than Scope 2. Scope 2 is exclusively for purchased energy that crossed the company’s site boundary from an external grid. A common error: lumping the genset’s diesel combustion into Scope 2 because the output is electricity. The correct treatment is fuel input Γ— fuel combustion factor β†’ Scope 1; the resulting electricity is not double-counted in Scope 2.

Trap 2 β€” Behind-the-meter renewables reduce purchased kWh, not the grid factor

An on-site PV array supplying 30% of a site’s annual electricity consumption reduces the kWh purchased from the grid by 30% β€” the location-based Scope 2 figure falls proportionally. The remaining 70% is calculated at the unchanged grid factor. The error is to apply a “blended” lower factor to the full consumption figure, treating the PV as an emissions discount on grid power. The PV produces zero Scope 2 directly (it is on-site generation, see Trap 1); the grid-supplied portion uses the unmodified grid factor.

Trap 3 β€” Purchased steam, heat, and cooling are Scope 2, not Scope 1

Companies that buy district heating, district cooling, or process steam from a third-party utility frequently misclassify the consumption as Scope 1 because it “feels like fuel use”. It is not. Scope 1 covers fuel combusted by the company itself; purchased thermal energy is Scope 2 even though no fuel ever crossed the company’s boundary. The DEFRA UK district-heating factor (0.193 kg COβ‚‚e/kWh thermal) and equivalent factors for steam and cooling apply on a per-kWh-thermal basis, multiplied by the consumed thermal energy β€” same multiplication structure as the electricity case, different unit and factor.

Trap 4 β€” Leased buildings and the operational control boundary

For a leased building, whether the electricity consumption is the lessee’s Scope 2 or the lessor’s depends on the organisational boundary approach β€” equity share, financial control, or operational control β€” chosen for the inventory as a whole. Under operational control (the most common choice), if the lessee company sets the energy procurement and pays the electricity bill, the consumption is the lessee’s Scope 2. If the lease is “all-in” with the lessor procuring electricity and recovering it through rent, the consumption is the lessor’s Scope 2 and the lessee’s Scope 3 Cat 8 (upstream leased assets). The boundary cannot diverge from the Scope 1 approach; the same building cannot be Scope 1 + Scope 2 under one lens and Scope 3 Cat 8 under another.

Run your Scope 2 location-based and market-based figures in one pass.
The Scope 2 Electricity Calculator applies DEFRA 2025, Ember Yearly Electricity 2025, and EPA eGRID 2023 factors with the dual-reporting structure built in β€” both figures emerge side-by-side with vintage and source stamps, ready for CSRD E1-6 disclosure or SBTi validation.

Regulatory and Framework Relevance

The location-based method is required by every major corporate disclosure framework. The market-based method is required wherever market-based instruments are claimed. The two together β€” dual reporting β€” is the unifying compliance thread.

Framework Location-based requirement Dual reporting Reference
GHG Protocol Corporate Standard Scope 2 required; method per Scope 2 Guidance Required where market-based claims made View standard β†’
GHG Protocol Scope 2 Guidance (2015) Defines the location-based method and factor hierarchy Establishes the dual-reporting rule /standards/ghg-protocol-scope-2-guidance/
CSRD / ESRS E1 most prescriptive Datapoint E1-6 β€” location-based Scope 2 required for all in-scope undertakings Both required; market-based with EAC quality narrative View standard β†’
CDP Climate Change C6.3 β€” both location and market-based required Yes, since 2017 reporting cycle CDP guidance v2024+
SBTi Corporate Net-Zero v1.1 Scope 2 included in near-term target; location-based as baseline Both submitted at validation SBTi guidance v1.1+
ISO 14064-1:2018 Indirect emissions from imported energy required Quantification methodology disclosure required View standard β†’

Five Common Calculation Mistakes

  1. Using a stale grid factor. Grid factors decarbonise year-on-year as renewable generation grows. The DEFRA UK grid factor fell from 0.20705 kg COβ‚‚e/kWh (DEFRA 2024) to 0.177 kg COβ‚‚e/kWh (DEFRA 2025) β€” a 15% reduction in one annual cycle, reflecting the cleaner UK grid mix. Companies still using the 2024 factor in their 2026 disclosure overstate Scope 2 by 17% (the inverse delta). The Scope 2 Quality Criteria require the most recent published factor for the consumption year; failing to update annually is a verification finding.
  2. Reporting market-based only after signing renewable contracts. Once a company signs a PPA or starts retiring EACs, the market-based figure drops dramatically β€” often to near-zero. The temptation is to publish only that headline number. Dual reporting is non-negotiable: CSRD/ESRS E1, CDP, and SBTi all require both figures wherever market-based instruments are claimed. Publishing only the market-based number is a structural compliance failure, not a presentation choice.
  3. Double-counting T&D losses inside Scope 2. Published grid factors (DEFRA, EPA eGRID, IEA) are gross-generation factors β€” they already capture upstream T&D-related emissions inside the supply mix. Grossing-up Scope 2 by an additional 8% for “transmission losses” double-counts. The correct treatment: Scope 2 uses the published factor unchanged; the T&D fraction of consumption is reported separately under Scope 3 Category 3b β€” not stacked onto Scope 2.
  4. Applying a national factor where a sub-national factor exists. Using the US national average (0.350 kg COβ‚‚e/kWh) for a site in Upstate NY (0.110) overstates emissions ~3Γ—. Using the same national average for a site in the SERC Midwest (0.566) understates ~62%. Both errors trip the geographic-specificity Quality Criterion. Where EPA eGRID, AIB, ECCC, or another regulator publishes a sub-national factor, the sub-national factor is required.
  5. Treating on-site generation as Scope 2 emissions reductions. A 100 kW rooftop PV array does not “reduce” Scope 2 by displacing grid electricity at the grid factor β€” it reduces the kWh purchased from the grid (which then Γ— grid factor produces a smaller Scope 2 number). The PV’s own emissions are zero (or near-zero embodied in Cat 1). Companies that double-count by claiming both “PV generation Γ— grid factor” as a reduction and the lower Scope 2 figure inflate their claimed reductions by exactly the PV output Γ— grid factor.
Location-based method Scope 2 β€” grid-average emission factor versus the market-based method (GHG Protocol)
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Frequently Asked Questions

The location-based method calculates Scope 2 emissions using the average emissions intensity of the grid on which the company’s purchased electricity (or steam, heat, cooling) is consumed. The factor is a regulator-published grid average β€” DEFRA for the UK, EPA eGRID for the US, IEA for most other countries β€” multiplied by the consumed kWh. The method is deliberately blind to procurement: buying EACs, signing PPAs, or switching to a green tariff does not change the location-based figure. It changes only when (a) the underlying grid decarbonises, (b) the company reduces consumption, or (c) the company moves operations to a cleaner grid. The GHG Protocol Scope 2 Guidance (2015) requires the location-based figure for every Scope 2 disclosure as the universal baseline, alongside a market-based figure wherever contractual instruments are claimed.

The two methods answer different questions about the same kilowatt-hours. Location-based uses a grid-average factor β€” what the local grid emitted on average to deliver this electricity, regardless of who paid for which generator. Market-based uses contractual instruments β€” supplier-specific factor first, then EAC retirements, then the residual mix for the unclaimed portion. A company on 100% retired RECs reports market-based Scope 2 β‰ˆ 0; its location-based Scope 2 remains at full grid factor Γ— consumption. The gap (sometimes called the “RE100 delta”) is the difference between contractual claims and physical grid reality. Both are required under the dual-reporting rule wherever market-based instruments are used.

Apply the GHG Protocol Scope 2 factor selection hierarchy in order: (1) sub-national / regional where published β€” EPA eGRID subregions in the US (e.g. US_NYUP at 0.110 kg COβ‚‚e/kWh), AIB residual mix per EU member state, ECCC provincial factors in Canada. (2) National grid average as the default tier β€” DEFRA for the UK (0.131 kg COβ‚‚e/kWh), Ember Yearly Electricity 2025 for most other countries (Germany 0.330, France 0.041, India 0.670). (3) Regional / multi-country for synchronised areas where national data is missing. (4) Default global as last resort. Match factor vintage to consumption year β€” Scope 2 Quality Criteria require the most recent published factor for the reporting year.

Yes β€” wherever market-based instruments are claimed. The GHG Protocol Scope 2 Guidance (2015) introduced the dual reporting requirement: every reporting company that uses any market-based instrument (EACs, RECs, REGOs, GOs, PPAs, supplier-specific tariffs, green tariffs) must report both a location-based and a market-based Scope 2 figure. CSRD/ESRS E1 datapoint E1-6 requires both. CDP C6.3 requires both. SBTi target validation requires both. The narrow exception β€” location-based only β€” applies to companies operating exclusively in markets with no commercially available contractual instruments and making no green-tariff or PPA claim. In practice this carve-out is rarely the right answer for any multinational reporter, since almost every major market now supports tradable certificates.

No. The location-based method is structurally insensitive to procurement. It uses the grid-average factor for the geography in which consumption occurs, regardless of which contractual instruments the company has retired. EACs β€” RECs in North America, REGOs in the UK, GOs in the EU, I-RECs in Asia-Pacific and emerging markets β€” affect only the market-based Scope 2 figure. A company that retires enough EACs to cover 100% of its electricity consumption reports a market-based Scope 2 of approximately zero, while its location-based Scope 2 remains unchanged at full grid factor Γ— consumption. This is why dual reporting matters: it surfaces the gap between contractual claims and the physical grid that delivered the electricity. The location-based figure moves only when the underlying grid mix decarbonises β€” DEFRA’s UK factor falling from 0.20705 (DEFRA 2024) to 0.177 (DEFRA 2025) is one year of grid decarbonisation, not one year of corporate procurement.

Build your Scope 2 disclosure on the dual-reporting baseline.
GreenCalculus tools apply DEFRA 2025, Ember Yearly Electricity 2025, and EPA eGRID 2023 factors with vintage stamps and source provenance β€” and produce both location-based and market-based figures side-by-side, ready for CSRD E1-6, CDP C6.3, and SBTi validation. Built directly on the GHG Protocol Scope 2 Guidance and the Scope 2 Quality Criteria β€” audit-grade by default.

Primary source. World Resources Institute & World Business Council for Sustainable Development (2015). GHG Protocol Scope 2 Guidance: An amendment to the GHG Protocol Corporate Standard. Sections 6 (Calculating Scope 2 emissions β€” location-based and market-based methods), 7 (Quality Criteria for Scope 2 contractual instruments), and 8 (Reporting and disclosure β€” the dual reporting requirement). ghgprotocol.org/scope-2-guidance

Grid factors used (audit record). United Kingdom = 0.177 kg COβ‚‚e/kWh (DEFRA 2025; –15% vs DEFRA 2024 value of 0.20705) Β· Germany = 0.330 Β· France = 0.041 Β· Norway = 0.028 Β· Poland = 0.589 Β· India = 0.670 Β· Singapore = 0.497 Β· Malaysia = 0.602 β€” all per Ember Yearly Electricity 2025 Β· United States national average = 0.350 (EPA eGRID 2023 release, 2023 data year) Β· United States β€” NYUP subregion = 0.110 Β· United States β€” SRMW subregion = 0.566 (both EPA eGRID 2023 release, 2023 data year, gross-generation basis) Β· United Kingdom district heating average = 0.193 kg COβ‚‚e/kWh thermal (DEFRA 2025).

T&D loss accounting (audit record). Transmission and distribution losses for purchased grid electricity are reported under Scope 3 Category 3 (Fuel- and energy-related activities), sub-component 3b. MasterBrain v2025.6 grid factors are gross-generation factors and do not pre-bake T&D losses into Scope 2.

Verification. All grid factor values verified against MasterBrain v2025.6 and primary source publications (DEFRA UK Government GHG Conversion Factors for Company Reporting 2025, Ember Yearly Electricity 2025, EPA eGRID Summary Tables 2022 published 2024-01-30) by Jeremiah Say, May 2026.

This page is part of the GreenCalculus GHG Accounting Glossary. Spotted an error or have a methodology question? Email jeremiah@greencalculus.com β€” corrections are welcomed and contributors are credited in the public changelog.

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