GHG Protocol Scope 2 Survey

Ever.green's Response Guide

GHG Protocol Survey deadline: Saturday, January 31, 2026 

Every voice matters: This document contains Ever.green's complete responses to the GHG Protocol's Scope 2 survey (183 questions). Our responses reflect our position that the proposed hourly and location matching requirements will make long-term forward contracts (the mechanism everyone agrees drives new renewable energy deployment) more complicated, costly, and sometimes impossible. We're advocating for broader exemptions, stronger legacy protections, and approaches that preserve mechanisms driving new clean energy deployment. Use these responses as a reference, but submit your own individual feedback by January 31, 2026

How to use this document

Make your own copy to draft your responses before submitting through the official survey.

Read Ever.green's recommended responses below. Use them as you see fit as you draft your own answers to the survey questions.

Answer all appropriate questions:
If you have a perspective or data to share to inform the revisions, please answer. We left a number of questions blank that were not targeted at Ever.green. If you have limited time, we recommend answering these essential questions.

Character limits:
Open text questions have a 4,000 character maximum. This supersedes any stated 300 word limit which is stated on some questions.

Answer formats:
Questions marked "Select only one" allow a single answer. Questions marked "Select all that apply" allow multiple answers.

Official Survey Links

When you're ready, fill out the official survey:

Other resources from GHG Protocol for Scope 2 changes:

Electricity-Sector Consequential Methods Public Consultation

Jump to section

Essential Questions

If you have limited time, we recommend at least answering these questions as follows:

# Topic Recommended answer
1-17 Your name, affiliation, etc. Basic demographics information
3 Make feedback anonymous? No
18 Feedback on the proposal to redefine scope 2 The term "purchased and consumed" electricity is not part of the established definitions in either the Corporate Standard or Scope 2 Guidance. We recommend that GHGP retain the existing scope 2 definition, which correctly reflects attributional accounting for purchased or acquired electricity, and avoid introducing "physical connection" language that misrepresents the nature of specified electricity transactions and attribute ownership in certain markets.
69 US market-boundary (c) Wholesale market/balancing authority
70 Threshold for hourly exemption (c) 50 GWhs
71 Hourly support (1) No Support
74 Reasons for concern Select reasons for concern #1, 2, 4, 7, 8, 9
83 Market-boundary support (1) No Support
86 Reasons for concern Select reasons for concern #1-4, 8-9
88 US market-boundary (c) Other
91 Propose different market-boundary Either (1) a market boundary encompassing the continental U.S. and Canada or (2) boundaries based on synchronous grids (Eastern Interconnection, Western Interconnection, and ERCOT). Broader market boundaries better reflect real power-market integration, maintain feasibility for buyers, and sustain the financial mechanisms that drive new clean-energy investment.
97 Support SSS guidance (2) Little support
100 Reasons for concern Select reasons 1-4
107 Distribute SSS without RECs No
124 Use of fossil mix (2) Little Support
127 Reasons for concern Select reasons 1-4
130 Feasibility measures (1) Insufficient
139 Change in procurement cost (5) Much more
140 Drivers of price difference Select 1, 2, 4, 5, 6, 7
146 Does impact metric change your mind? (c) No
152 Overall revisions needed Options that allow for and recognize different kinds of impactful action including long-term forward contracts which are made more difficult, costly, and unattractive by requiring hourly matching and deliverable market boundaries. The pathway that uses hourly matching and deliverable market boundaries must have a third pillar that addresses incrementality which, if intended, is not addressed by Standard Supply Service (SSS).
153 Exemptions for hourly matching (5) Fully support
159 Load-based exemption threshold We recommend a 100 GWh/year threshold per broader deliverable market boundary (e.g., regional or synchronous-grid boundaries like the continental U.S. and Canada). If smaller, sub-balancing-authority boundaries are used instead, a 50 GWh/year/region threshold may work.
163 Which exemption is appropriate? (c) Option 3
171 Legacy clause (5) Fully support
173 Reasons for support of legacy contracts Contracts signed prior to implementation of new Scope 2 Standards (post phase-in period) should be honored for the duration of the contract as addressing a company’s Scope 2 inventory under the current rules.
181 Transition approach Legacy clause

Scope 2 Consultation Survey

General Demographics

3. Make feedback anonymous? As part of the Greenhouse Gas Protocol’s standard procedures, all responses will be made publicly available. However, respondents have the option to have their name, organizational affiliation, and country redacted from any public record of their response. Your e-mail will be automatically redacted from any public record, whether you opt-in here or not. Would you like to request the redaction of this information for your responses?

Yes

No

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Section 3: Change definitions and purpose of methods

18. Please provide any feedback on the proposal to refine the definition of scope 2, to emphasize its role within an attributional value chain GHG inventory and clarify that scope 2 must only include emissions from electricity generation processes that are physically connected to the reporter’s value chain, excluding any emissions from unrelated sources? Please note that feedback on specific changes to the location- and market-based method can be provided in sections 4 and 5. (< 300 words / 4,000 characters)

We recommend that GHGP retain the existing Scope 2 definition. The proposed refinement introduces the term “purchased and consumed” electricity and ties Scope 2 to “physical connection” with the reporter’s value chain, but these concepts are not part of the established definitions in either the Corporate Standard or the Scope 2 Guidance. Those documents refer to “purchased” or “purchased or acquired” electricity, the latter intentionally accommodating situations where electricity is not directly purchased (for example, tenants). Introducing new language that implies physical delivery or physical connection misrepresents how specified electricity transactions and attribute ownership work in many markets.

We do not support redefining Scope 2 to exclude electricity procurement that is not physically connected to consumption. The existing definition correctly captures both consumption and procurement, which are distinct but complementary activities. This is why the 2014 Scope 2 Guidance created two methods: (1) the Location-based method (LBM) reflects electricity actually consumed within a physical grid, and (2) the Market-based method (MBM) reflects contractual procurement, regardless of physical deliverability.

Current guidance is explicit: “In contrast to the location-based method, [the MBM] allocation pathway represents contractual information and claims flow, which may be different from underlying energy flows in the grid. The certificate does not necessarily represent the emissions caused by the purchaser’s consumption of electricity.” [1]

Narrowing both methods to the same physical system would erase the conceptual distinction the dual-method framework was designed to preserve, and would make dual reporting redundant.

Electricity consumption and procurement are related but not equivalent. Corporate renewable procurement often depends on aggregating load across time and geography to reach the scale required for financing new projects. The atmosphere does not care whether electricity was generated at the same hour or in the same location as consumption, and restricting accounting to those boundaries undermines the viability of long-term forward contracts that enable new capacity.

Redefining Scope 2 around physical consumption risks eliminating any workable path for recognizing procurement that materially enables new clean energy. It would constrain innovation in Scope 2 reporting and weaken incentives for corporate action that reduces real-world emissions.

Lastly, we recognize that scope 2 will remain an attributional framework. But excluding all consequential considerations is counterproductive. The causal aspect of consequential impact can serve as a qualifying attribute of contractual instruments without converting scope 2 into a consequential system. The proposed revisions exclude consequential considerations inside scope 2 entirely without clarifying how outside reporting will count or be considered.

[1] GHG Protocol Scope 2 Guidance, Section 4.1.2, page 26: https://ghgprotocol.org/sites/default/files/2023-03/Scope%202%20Guidance.pdf#:~:text=In%20contrast%20to%20theflows%20in%20the%20grid

19. Please provide any feedback on the proposed clarification to the LBM definition to reflect scope 2 emissions from generation physically delivered at the times and locations of consumption, with imports included in LBM emission factor calculations where applicable?Please note that feedback on specific changes to the location-based method can be provided in section 4. (< 300 words / 4,000 characters)

We support the proposed clarification to the location-based method (LBM). Shifting toward more granular, time- and location-specific emission factors is a meaningful improvement in accuracy and relevance. Including imports where applicable will help ensure that location-based reporting better reflects the real generation mix serving a region at the times when electricity is consumed.

We also support the proposed hierarchy for emission factors and the clear definition of what counts as accessible information (public, free to use, and from a credible source). We note and appreciate the optionality built into this structure. Allowing the use of higher-quality private data, even when not publicly available, is sensible. 

Although this approach may reduce comparability and increase cost and complexity, it is unrealistic to wait until all companies can access uniform hourly data. The balance struck between feasibility and accuracy appears to be pragmatic.

However, these updates also make the LBM much more similar to the updated market-based method (MBM). Because private, more accurate factors may now be used, it seems logical for companies with local, time-matched PPAs to rely on their PPA generation data as the highest-quality emission factor available. In those cases, the LBM and MBM results will converge, relying on the same provenance data from the same contractual instruments. The conceptual difference between grid-average consumption and contractual procurement therefore becomes minimal.

While these refinements improve physical realism, they leave unaddressed the central question raised by most research over the past decade: whether procurement is consequential, meaning whether it enables new clean generation. The LBM changes make measurement more precise, but precision alone will not deliver impact. To support meaningful decarbonization, the overall framework must evolve to pair improved attributional accuracy with recognition of financial and causal links to new capacity.

20. Please provide any feedback on the proposal to clarify the MBM definition to retain its existing basis, quantifying Scope 2 from contractually purchased electricity via contractual instruments, while specifying temporal correlation and deliverability when matching instruments to consumption? Please note that feedback on specific changes to the market-based method can be provided in section 5. (< 300 words / 4,000 characters)

We support clarifying that the market-based method (MBM) quantifies Scope 2 from contractually purchased electricity via certificates and similar instruments. We do NOT support adding mandatory temporal correlation and deliverability requirements.

Accuracy and integrity: Hourly matching does not make electricity traceable. As U.S. market rules and system operators have long recognized, electrons cannot be tracked from a specific generator to a specific consumer. Deliverability boundaries limit only extreme mismatches, they do not make power physically delivered. Adding hourly and spatial requirements turns MBM into a second location-based method without addressing the long-standing criticism of lack of impact.

Impact. The intent of higher granularity is to send stronger signals and increase impact. In practice, mandatory hourly and deliverability rules push buyers away from long-term, bankable contracts and toward spot REC purchases from existing assets. Costs rise for buyers, but less spending shows up as contracted, financeable revenue that enables new capacity. Multiple analyses, including Princeton ZERO Lab and GHGMI, show that hourly matching delivers limited system benefit unless participation is very high and budgets are inelastic, conditions that are unlikely in voluntary markets.

Feasibility and market function. Many companies have distributed loads. Requiring local, hourly alignment fragments procurement into many small deals, destroys economies of scale, raises transaction costs, and in some regions makes PPAs impractical or unavailable. This reduces participation and weakens the investment signal that Scope 2 reporting should provide.

A better path. Keep MBM centered on certificate-based attribution with annual matching as the baseline. Make hourly and deliverability matching optional (“may”, not “shall”) as a leadership tier, not a universal rule. Introduce optional “impact qualifications” inside attributional reporting, for example, disclosures that a contract was long-term and material to financing or life extension of a project, or met a reasonable vintage test. This preserves integrity, rewards procurement that expands supply, and maintains broad feasibility.

In short, MBM should continue to measure what companies buy through verifiable contractual instruments. Mandatory temporal and deliverability gates would add complexity, reduce participation, and erode impact, while offering little improvement in the credibility of claims.

21. Please provide any feedback on the proposed purposes of the location-based method. Please note that feedback on specific changes to the location-based method can be provided in section 4. (< 300 words / 4,000 characters)

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22. Please provide any feedback on the proposed purposes of the market-based method. Please note that feedback on specific changes to the market-based method can be provided in section 5.(< 300 words / 4,000 characters)

We question the narrowing of the Market-based Method’s purpose to cover only electricity that is both purchased and consumed. The MBM has always existed to account for contractual procurement, not physical usage. Redefining it as an accounting of power “purchased and consumed” collapses the distinction between the MBM and the Location-based Method and risks making dual reporting redundant.

The MBM’s value lies in representing market actions that enable new clean supply through verifiable ownership of certificates and contracts, whether or not those electrons reach the buyer’s meter. When companies sign long-term PPAs or forward REC contracts, their procurement affects the grid even if generation occurs elsewhere or at different times.

Reframing MBM around physical consumption would move Scope 2 away from its historic and functional role as a record of contractual accountability. It would also make it harder to recognize or reward procurement that expands clean capacity, while incentivizing short-term or purely local transactions that have little causal effect on emissions.

The GHG Protocol should keep the MBM focused on verified contractual instruments and allow for optional “impact qualification” within attributional reporting (e.g., whether procurement materially supported project financing). This would preserve integrity, reflect real corporate action, and maintain conceptual clarity between consumption-based and procurement-based accounting.

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Section 4: Location-based method

23. On a scale of 1 - 5, do you support the update to the location-based emission factor hierarchy to identify the most precise location-based emission factor accessible according to spatial boundaries, temporal granularity, and emission factor type (consumption or production)?  

Please note this question only relates to the structure of the hierarchy, subsequent questions will address its intended use.

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

24. Please provide your reasons for support, if any. 

Select all options that apply:

Agree that guidance on selecting location-based emission factors should be presented as a hierarchy

Enhances the accuracy and relevance of the location-based method

Enables use of emission factors that support abatement planning and target-setting.

Improves use of location-based method to provide risk and opportunity assessment related to consumption of grid electricity.

Aligns with emission factors used by your organization for location-based emissions reporting

Aligns with emission factors used for mandatory or voluntary reporting in your region

Prioritizes consumption-based factors that include imports/exports over production-based factors.

Clarifies application of the EF hierarchy (spatial > temporal > consumption-based > production-based)

Agree with listing the most precise temporal granularity as “hourly”

Agree with listing the most precise spatial boundary as “local boundary” 

Agree that the proposed spatial boundaries reflect electricity deliverability in your region

Other (please provide)

25. Please provide comments regarding your reasons for support.

We support the proposed hierarchy and its clear definition of accessible information (public, free to use, and from a credible source). We also agree that a higher-quality factor can be used when available but should not be required. While these changes will reduce comparability and increase complexity, they strike a reasonable balance between feasibility and accuracy. It is important to keep improving the physical representativeness of location-based reporting even before universal data access is possible.

26. Please provide your concerns or reasons for why you are not supporting, if any.

Select all options that apply:

Prefer guidance on selecting location-based emission factors to be identified as a single globally applicable option to increase comparability

Concern about increased administrative burden and complexity from identifying the most precise emission factors accessible

Concern that the most precise temporal granularity “hourly“ is too detailed

Concern that the most precise spatial boundary, “local boundary”, is too narrow

Concern that the proposed spatial boundaries do not reflect electricity deliverability in your region

Concern hierarchy does not align with emission factors used by your organization for location-based emissions reporting

Concern hierarchy does not align with emission factors used for mandatory or voluntary reporting in your region

Prefer a different order (e.g., consumption-based first, then spatial boundary, then temporal granularity)

Prefer a differenUnclear how the changes will affect your GHG emissions reportingt order (e.g., consumption-based first, then spatial boundary, then temporal granularity)

Other (please provide)

27. Please provide comments regarding your reasons for why you are not supporting (if any). 

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28. For different views on the order the hierarchy should be applied (e.g. preference for consumption-based emission factors, then spatial boundary, then temporal granularity) please explain the preferred order.

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29. Regarding regions that you operate in or have experience in, please provide comments on whether the LBM emission factor hierarchy allows you to identify an accessible emission factor that appropriately reflects how electricity is delivered in that region. Please clearly identify the region you are referring to in your answer

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30. Regarding regions that you operate in or have experience in, please provide comments on whether the LBM emission factor hierarchy is likely to cause any region-specific challenges in its application. Provide specific examples, and clearly identify the region you are referring to in your answer

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31. Do you agree that “local boundary” should be listed as the most precise spatial boundary for LBM emission factors? If not, select which should be listed as the most precise spatial boundary? 

Select only one:

Yes, I support local boundary as the most precise spatial boundary

No, a more precise spatial boundary should be added

No, a less precise spatial boundary should be used. Use Operational grid boundary

No, a less precise spatial boundary should be used. Use Grid-wide or national boundary

Other (describe)

32. If you selected "Other" in question 31, please describe

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33. Should the LBM emission factor hierarchy be adjusted to include the deliverable market boundaries outlined in the proposed MBM Methodologies for demonstrating deliverability where they do not already overlap? If so, should they be included in addition to, or as a replacement for, the spatial boundaries currently proposed in the hierarchy?​  

Select all options that apply:

No, different spatial boundaries are appropriate for the location-based and market-based methods

Yes, include the MBM deliverability market boundaries in addition to the proposed LBM hierarchy (explain why they should be added)

Yes, include the MBM deliverability market boundaries as a replacement for the proposed LBM hierarchy (explain why they should replace the current hierarchy)

Other (explain)

Do not support boundaries as proposed in either method (explain alternative boundaries for the location-based emission factor hierarchy and how they support integrity, impact, and feasibility for a value chain inventory)

34. Please provide additional explanations or further details regarding your answer to question 33

We do not support replacing or directly merging the LBM spatial boundaries with the MBM deliverability boundaries. 

The purpose of the LBM is to represent physical grid consumption, not contractual deliverability. LBM spatial boundaries should be as narrow as accessible data supports. 

MBM deliverability boundaries should be as wide as permitted under the GHGP decision criteria so that load can be aggregated and long-term forward contracts like PPAs can remain accessible.If boundaries are the same (or even if they are different and the concept of deliverability is added to the MBM), we expect that companies will consider the emission factor from a PPA with a project on the local grid as the most accurate available, since private data is allowed when more granular. This would blend the methods, importing contractual data into the LBM. Can GHGP clarify whether this outcome is intended and, if not, provide guidance on how private contractual data should be used in the LBM to maintain a clear distinction between the two methods?

35.On a scale of 1-5 do you support the new definition of accessible: publicly available, free to use, and from a credible source? 

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

36. Please provide your reasons for support, if any. 

Select all options that apply:

Definition supports feasibility and lower-cost reporting

Supports transparency and public verifiability of emission factors

Implements a common comparability baseline across reporters

Creates data equity for smaller reporters and underserved regions

Encourages open publication of emission factors

High quality accessible emission factors already exist for most markets globally today

Ensures reporters can immediately apply the updated LBM hierarchy

Clarifies reporting requirements

Other (please explain)

37. Please provide comments regarding your reasons for support.

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38. Please provide your concerns or reasons for why you are not supporting (if any).

Select all options that apply:

Definition needs further clarification about what is recognized as a credible source

Definition should not exclude emission factors that are publicly available and credible even if they have a reasonable associated cost (i.e. not free)

A list of suitable location-based emission factors should be published for each region, rather than requiring reporters to individually determine what is accessible in their region.

Definition should also consider level of administrative effort in addition to external costs for emission factor data.

Another criteria should be added to the definition

Other (please explain)

39. Please provide comments regarding your reasons for concern (if any). 

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40.The following questions (40-43) concern which entities should qualify as credible sources for accessible LBM emission factors to ensure transparency, faithful representation, and comparability.

Which entities should qualify as credible sources:

Select all options that apply:

Government agency

System operator

Recognized registry

Accredited statistics body

Independent methodology meeting minimum criteria (outlined in question 42)

Other (please specify and explain)

41. Please provide additional comments concerning your selected credible sources, including at least one example per region you operate in or have experience with, if possible. 

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42. If you selected independent methodologies in question 40, please describe what documentation or assurance (if any) is needed for it to be recognized as a credible source? 

Select all that apply, then add brief detail: 

Publicly documented methods and system boundaries

Update cadence (e.g., annual) and version control

QA/QC procedures and uncertainty disclosure

Governance/independence and conflict-of-interest safeguards

Geographic/system boundary and temporal coverage fit for use

Other (please explain)

43. Please provide any additional comments concerning your selected minimum criteria in question 42.

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44. On a scale of 1-5 do you support the update to the requirement to use the most precise location-based emission factor accessible for which activity data is also available? 

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

45. Please provide your reasons for support, if any.

Select all that apply:

Improves accuracy and scientific integrity of LBM results

Strengthens transparency and public verifiability

Enhances comparability across reporters and frameworks

Better reflects grid operation in time and space, reduces misallocation

Enables emission changes from storage and demand-flexibility to be reflected more accurately

Prioritizes consumption-based factors that include imports/exports

Aligns emission factor precision with available activity data

Aligns positively with mandatory or voluntary reporting requirements in your region

Enables use of load profiles when hourly activity data are unavailable

Provides a common, accessible baseline for inventories

Supports phased improvement as data availability expands

Improves decision-usefulness for external disclosures

Other (please provide)

46. Please provide any additional comments regarding your reasons for support.

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47. Please provide your concerns or reasons for why you are not supporting.

Select all that apply:

Concern about negative impact on comparability, relevance and/or usefulness of LBM inventories  

Concern that administrative, data management, and audit challenges posed by this approach would place an undue burden and costs on reporters

Concern that the most precise spatial boundary in the LBM emission factor hierarchy, 'local boundary', is too narrow to require even when accessible

Accessible factors may be less accurate than non-accessible options and primary users of emission reporting data may expect the most representative factors

Material differences to inventory accuracy are too small to justify cost

Prioritizes consumption-based factors that include imports/exports

Other (please provide)

48. Please provide any additional comments regarding your concerns or reasons why you are not supporting (if any).

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49. For concerns or support for alignment with mandatory or voluntary reporting requirements in your region, please provide an example of the programmatic requirements and the impacts of these changes on alignment. 

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50. For concerns that the most precise spatial boundary (local boundary) is too granular to be required even if emission factors are accessible, please outline why and identify whether reporting at this level of granularity should be a “may”, “should” or “shall not” requirement?

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51. For concerns that choosing an accessible factor over a more accurate “non-accessible” one can reduce accuracy and decision-usefulness please describe the conditions when a non-accessible factor should be required to be used over an accessible one (e.g., material difference threshold, investor relevance), and what transparency/assurance is needed (public methods, QA/QC, independent assurance). Please note any cost/effort implications.

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Questions 52-56. External programs that use GHG Protocol generally support improving the accuracy and comparability of LBM results while balancing feasibility considerations. To help assess benefits relative to cost and effort in practice, please answer for your primary reporting/oversight context.

52. Considering investor and assurance needs, how do the proposed location-based method revisions change the extent to which information is decision-useful to users relative to incremental cost and complexity for preparers?  

Select only one:

No meaningful improvement (unlikely to change decisions/interpretations)

Minor improvement (noticeable but unlikely to change decisions)

Moderate improvement (could change some decisions/assessments)

Substantial improvement (likely to change decisions benchmarks)

Not sure / no basis to assess

53. Please provide additional context for your answer to question 52.

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54. Considering investor and assurance needs, how do the proposed location-based revisions change the comparability of information relative to incremental cost and complexity for users?  

Select only one:

No meaningful improvement (unlikely to change decisions/interpretations)

Minor improvement (noticeable but unlikely to change decisions)

Moderate improvement (could change some decisions/assessments)

Substantial improvement (likely to change decisions benchmarks)

Not sure / no basis to assess

55. Please provide additional context for your answer to question 54

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56. For question 52-55, please provide the basis for your assessment.  

Select only one:

Direct empirical analysis (e.g., back-testing with hourly factors)

Operational experience (e.g. applying hourly LBM emission factors)

Professional judgment informed by literature/briefings

General awareness (no direct analysis)

Prefer not to say

Questions 57-68. The following questions refer to the availability of hourly data for LBM reporting.

57. At the Operational Grid Boundary level (of the proposed location-based emissions factor hierarchy), what share of your load has hourly emission factors accessible:  

Select only one:

0%

1–25%

26–50%

51–75%

76–100%

Unsure

Not applicable

58. Please provide additional context for your answer to question 57

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59. Please indicate the share of your load with hourly activity data available:

Select only one:

0%

1–25%

26–50%

51–75%

76–100%

Unsure

Not applicable

60. If your answer to questions 57 & 59 includes significant geographical differences (some regions with hourly emission factor and higher volumes of hourly activity data, other regions with minimal hourly activity data and/or no hourly emission factors), please include additional context. 

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61. When actual hourly activity data are unavailable, and solely to enable use of more precise LBM emission factors, the proposed revisions allow a reporter to use load profiles to approximate hourly data from monthly or annual load data. How would the use of load profiles affect the comparability, relevance, and usefulness of LBM inventories relative to your current practice? Please describe potential advantages, limitations, and any conditions under which impacts may differ. 

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62. To help assess feasibility across geographies and company sizes, please answer from the same perspective you indicated in the Demographics section (e.g., your role and whether you’re responding for a small/medium/large organization and your primary country). If you represent a multinational, answer from the primary country/entity you reported in Demographics (or note the specific business unit/country in comments).

On a scale of 1-5, please indicate the incremental preparer cost/effort to implement the proposed revisions to the location-based method.

Select only one:

1 - Minimal effort

2 - Low effort

3 - Neutral effort

4 - Moderate effort

5 - High effort

Not applicable (not a preparer)

63. Please select the main drivers of cost/effort. 

Select all that apply:

Data access/rights to granular emission factors

Hourly activity data availability/metering rollout

Tooling/IT integration or data pipelines

Assurance/internal controls readiness

Staffing/capacity/training

Contracting/procurement or budget cycle constraints

Third-party publication cadence (emission factors)

Multi-jurisdiction complexity (many grids/regions)

Policy/regulatory or commercial terms

Other: ___________________

64. Please provide additional context on the main drivers of cost/effort.

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65. Which two measures would most reduce burden in your context?

Please select at most 2 options:

Standardized publication of consumption-based emission factors by grid/system operators

Load profile hierarchy/templates to approximate hourly activity data when meters are unavailable

Phased implementation (staged effective dates)

API/automated access to emission factor datasets

Example calculations and disclosure templates

Assurance safe-harbors for estimates

Other (specify)

66. Please provide additional context on the measures that would most reduce burden in your context.

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67. For which reporting year would your organization be ready to apply the revised Scope 2 Standard based on these proposed changes in its GHG inventory? (For example, if the Standard is published in 2027, the reporting year 2027 inventory is typically prepared and reported in 2028)

Select only one:

Earlier than reporting year 2027 (already aligned)

Reporting year 2027 (inventory prepared in 2028)

Reporting year 2028 (inventory prepared in 2029)

Reporting year 2029 (inventory prepared in 2030)

Reporting year 2030 (inventory prepared in 2031) or later

Later than Reporting year 2030

Not applicable

68. Please provide additional context regarding how this timeline could be shortened and note any region or sector-specific context.

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Section 5: Market-based method

Questions 69-152: To answer some of the questions throughout section 5 about changes to the market-based method, respondents need to know what is specifically meant by an ‘exemption to hourly matching’. 

As the criteria for an exemption is being developed through this consultation process, please use the default exemption conditions when responding to questions that reference an exemption. 

Default exemption conditions: Companies with annual consumption up to [X] GWh/year in a deliverable market boundary may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary. 

To apply this default please identify the: 

Deliverable market boundary for your region of operation 

  • For all regions outside of the US please use the deliverable market boundary defined in the table Proposed methodologies for demonstrating deliverability 
  • For the US, where a deliverable market boundary has not yet been defined in the table Proposed methodologies for demonstrating deliverability, please select your preferred market boundary from the list in question 69

Exemption threshold in GWh 

  • For all respondents, please select your preferred exemption threshold from the list in question 70

Subsequent sections will ask specific questions about deliverable market boundaries and exemption thresholds, so you may submit detailed feedback in those sections.

69. If you have operations or experience in the US, please select your preferred deliverable market boundary for the US (Please see the table Proposed methodologies for demonstrating deliverability for references to these options):

70. All respondents, please select your preferred exemption threshold per deliverable market boundary. 

Select only one:

5 GWhs

10 GWhs

50 GWhs

71. On a scale of 1-5 do you support an update to Quality Criteria 4 to require that all contractual instruments used in the market-based method be issued and redeemed for the same hour as the energy consumption to which the instrument is applied, except in certain cases of exemption.

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

72. Please provide your reasons for support, if any. 

Select all that apply:

Improves accuracy and scientific integrity of MBM results

Strengthens transparency and supports public verification

Enhances comparability across reporters and frameworks using GHG Protocol data

Better reflects grid operation, reduces misallocation of generation (e.g., “solar at night”)

Reduces risk of greenwashing/time-shifting claims by aligning claims to time of use

Improves decision-usefulness for external disclosures

Helps create price signals for times and places where renewables are not already abundant

Helps accelerate the development of technologies that will be needed at scale for fully decarbonized grids.

Enables emission changes from storage and demand-flexibility to be reflected more accurately.

Improves risk and opportunity assessment related to contractual relationships.

Other (please explain)

73. Please provide comments regarding your reasons for support. 

We do not support making hourly matching a universal requirement, but we support GHG Protocol’s effort to establish clear accounting rules for companies that choose to apply it voluntarily. Hourly matching should remain an option (“may”), not a mandate (“shall”).

Hourly matching can complement long-term forward instruments such as PPAs, VPPAs, forward REC contracts, or battery tolls that provide bankable revenue certainty to new projects and to the technologies needed to fully integrate renewable energy and decarbonize every hour of every day.

However, hourly matching by itself does not improve the accuracy or integrity of emissions accounting. Electricity accounting remains allocational, not physical, and the grid cannot verify that specific generation was delivered to specific consumption.

While the voluntary market can contribute to full renewable integration, it is unlikely (and not necessary) to be the primary driver. As excess clean generation grows and prices fall in certain hours, energy markets will naturally encourage integration technologies through price signals and load shifting.

74. Please provide concerns or reasons for why you are not supporting, if any.

Select all that apply:

More information is necessary to understand how investments not matched on an hourly basis will be accounted for and reported via the framework under development by the Actions & Market Instrument TWG

Hourly matching should follow an optional ‘may’ rather than a required ‘shall’ approach

Hourly matching should follow a recommended ‘should’ rather than a required ‘shall’ approach

Concern about negative impact on comparability, relevance and/or usefulness of MBM inventories

Concern that a phased implementation would be insufficient for development of the infrastructure necessary (e.g., registries, trading exchanges, etc.) to support hourly contractual instruments

Concern that administrative, data management, and audit challenges posed by this approach would place an undue burden and costs on reporters

Concern that requiring hourly matching does not create meaningful improvements to inventory accuracy

Concern that a requirement for hourly contractual instruments could discourage global participation in voluntary clean energy procurement markets

Other (please explain)

75. Please provide comments regarding your concerns or reasons for why you are not supportive. 

Requiring hourly matching would significantly undermine the feasibility and impact of the market-based method.

1) Reduced project financing and long-term contracting.

Requiring hourly matching will incentivize procurement of spot-market RECs during the needed hours and discourage signing long-term offtake agreements. This would greatly reduce the bankability of procurement and harm the benefits of the voluntary market to clean energy projects and infrastructure development.

2) Misaligned operational incentives.
Requiring hourly matching can incentivize behavior (such as the timing of charging and discharging of energy storage projects) that align with an individual reporting entities carbon accounting needs at the expense of system-level benefits (grid resiliency, financial and environmental).

3) Reduced participation and market efficiency.
Requiring hourly matching will discourage participation in voluntary clean energy procurement markets. This has been described in detail by industry groups such as ACORE [1] and CEBA [2] for a wide range of reasons including, for example, the challenge of losing the ability to aggregate procurement for hourly load [3].

Hourly matching makes long-term forward contracts less accessible, more costly, and more risky. Without long-term forward contracts, hourly matching cannot deliver the benefits listed in Question 72 and should not be represented as doing so unless demonstrated by evidence. Otherwise, it risks overstating both the accuracy and the impact of claims that “power contracted = power consumed = power enabled.

[1] ACORE Letter to the GHG Protocol Independent Standards Board

https://acore.org/resources/acore-letter-to-the-ghg-protocol-independent-standards-board/ 

[2] CEBA Calls for Immediate Changes to Greenhouse Gas Protocol’s Scope 2 Revision Process

https://cebuyers.org/wp-content/uploads/2025/05/CEBA_Letter-to-Greenhouse-Gas-Protocol-ISB_23-May-2025.pdf 

[3] Case Study: Caught in the Middle - How Hourly Matching Reduces Impact for Distributed Loads

https://img1.wsimg.com/blobby/go/15907343-a52a-4fb2-acba-527a9dd22090/Caught%20in%20the%20Middle-c029cc3.pdf

76. Load profiles enable organizations without access to hourly activity data or hourly contractual instruments to approximate hourly data from monthly or annual data.  How would the use of load profiles affect the comparability, relevance, and usefulness of MBM inventories relative to your current practice? Please describe potential advantages, limitations, and any conditions under which impacts may differ.

Load profiles make hourly matching more feasible than requiring hour-level data from all participants. However, unless companies are required to disclose which load profiles they use and when, the approach risks eroding the usefulness of reporting and comparability between organizations or even within organizations (if different load profiles are used for different sites or regions) while implying greater accuracy than achieved.

Questions 77-82. The following set of questions (77-82) applies to sites or business units above the exemption threshold, assume the default exemption conditions selected in Section 5.3.1.

Who should answer: This item is optional and intended primarily for reporters (or service providers responding on behalf of a reporter/client) with direct knowledge of implementation effort and spend. If you are not preparing or overseeing a scope 2 inventory for a specific organization, you may skip this item or answer only where relevant. 

Note: This section is about administrative implementation (internal effort and external service costs). Please do not include procurement price differences for hourly EACs/PPAs; those are covered in the “combined questions for updates to MBM” section.

77. What is the approximate share of your organization’s total load that would be subject to hourly matching, excluding any exemptions:

Select only one:

0%

1–25%

26–50%

51–75%

76–100%

Unsure

78. Please indicate your best estimate of the internal administrative effort (people/process/controls) of the proposed hourly matching requirement relative to your current MBM process using annual matching. Assume 3 is your current level of effort.

Select only one:

1 - Much less 

2 - Slightly less

3 - Same 

4 - More 

5 - Much more

79. Please indicate your best estimate of the external service cost (cash outlays to vendors, data, assurance) of the proposed hourly matching requirement relative to your current MBM process using annual matching. Assume 3 is your current external cost.  

Select only one:

1 - Much less 

2 - Slightly less

3 - Same 

4 - More 

5 - Much more

80. What are the feasibility measures you would anticipate relying on: 

Select all that apply:

Load profiles for activity data (facility-specific)

Load profiles for activity data (utility/customer-class or regulator-approved)

Load profiles for activity data (time-of-use averages)

Load profiles for activity data (flat average across hours)

Load profiles for contractual instruments (same production asset)

Load profiles for contractual instruments (facility-specific)

Load profiles for contractual instruments (regional publicly available)

Phased implementation

Legacy clause

81. What are the assumed main drivers affecting internal workload and external service costs after applying feasibility measures:

Select all that apply: 

Registry/market access for hourly EACs

Vendor/platform upgrades or new tools

Data integration (profiles, APIs), system configuration

Assurance/internal controls and evidence trails

Staff capacity/training

Contracting/sourcing changes for hourly instruments

Metering/interval data access arrangements

Other (specify)

82. Please provide any additional comments regarding your response to questions 77 - 81

Even for organizations above any proposed exemption threshold, requiring granular or hourly matching presents major feasibility and cost challenges. These challenges affect not only smaller buyers but also large corporations with global or distributed operations, for whom site-level hourly matching across multiple grids would be prohibitively complex. Exemptions do not mitigate these issues, as they only address hourly matching and not the broader structural or market limitations that prevent implementation. The result would be reduced participation in voluntary clean energy markets and diminished impact from corporate procurement overall.

Feasibility and Participation:

Hourly matching is particularly difficult for smaller organizations or those with distributed loads. Many would need to replace a single impactful VPPA (which can take 6-24 months and significant cost to execute) with dozens of REC agreements or aggregated contracts with other buyers [1]. Load profiles and estimation tools can make hourly matching more achievable, but they also introduce additional assumptions that reduce accuracy and comparability across companies.

Cost:

Fragmented contracting would increase transaction costs, legal complexity, and management burden. Studies show that achieving over 90% hourly matching is necessary to reduce emissions beyond 100% annual matching.[2] Costs for achieving 90% hourly matching are twice as much as annual matching and skyrocket to achieve higher matching (over 3x for 98% and over 4x for 100% matching).[3] Companies that maintain their commitment to 100% renewable energy may need to substantially over-contract the quantity of renewable energy relative to actual annual load, further increasing costs.[2] Studies looking at clean hydrogen had similar findings where adopting an hourly matching strategy was often more costly than annual matching with eligible RECs.[4] Hourly energy matching generally results in the highest carbon abatement cost per tCO2 displaced, costing 7-14 times more than marginal emissions matching.[5]

Hourly matching may have some value as an optional disclosure or complementary metric, but mandating it would make participation infeasible for many buyers, especially smaller or distributed ones, while delivering minimal improvements in accuracy at dramatically higher cost and reduced impact.

References:
[1] Case Study: Caught in the Middle - How Hourly Matching Reduces Impact for Distributed Loads https://img1.wsimg.com/blobby/go/15907343-a52a-4fb2-acba-527a9dd22090/Caught%20in%20the%20Middle-c029cc3.pdf

[2] Review of Research on the Impact of Voluntary Energy Procurement
https://zerogrid.org/wp-content/uploads/dlm_uploads/2025/05/iai-review-research-voluntary-energy-procurement.pdf 

[3] Evaluating the Impacts, Costs, and Consequences of Proposed Scope 2 GHG Emissions Reporting Standards
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5375940

[4] Assessment of Studies on US Hydrogen Tax Credits and Potential Takeaways for Scope 2 Guidance
https://ghgprotocol.org/sites/default/files/2024-11/S2-TheBrattleGroupReport-20241121.pdf 

[5] Cost and emissions impact of voluntary clean energy procurement strategies

https://tcr-us.com/uploads/3/5/9/1/35917440/2024_april_cost_and_emissions_impact.pdf

Questions 83-87. Update to Scope 2 Quality Criteria 5

83. On a scale of 1-5 do you support an update to scope 2 Quality Criteria 5, to require that all contractual instruments used in the market-based method be sourced from the same deliverable market boundary in which the reporting entity’s electricity-consuming operations are located and to which the instrument is applied, or otherwise meet criteria deemed to demonstrate deliverability to the reporting entity's electricity-consuming operations? 

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

84. Please provide reasons of support, if any.

Select all that apply:

Improves accuracy and scientific integrity of MBM results

Strengthens transparency and public verifiability

Enhances comparability across reporters and frameworks using GHG Protocol data

Improves decision-usefulness for external disclosures

Better reflects grid operation, reduces misallocation

Provides sufficiently flexible options for organizations to demonstrate deliverability outside of the defined deliverable market boundaries

Defined market boundaries reflect a boundary your organization already uses for procuring contractual instruments

Agree that the proposed market boundary for my region(s) accurately reflects deliverability

Agree that the defined market boundaries align with mandatory or voluntary reporting requirements in your region

Improves risk and opportunity assessment related to contractual relationships

Helps create price signals for times and places where renewables are not already abundant

Other (please explain)

85. Please provide comments regarding your selected reasons for support.  

Narrower deliverability regions than today’s market boundaries, while overlapping with accounting under the location-based method, could reduce excess supply from neighboring markets and unintentionally undermine project financing in local markets.

This shift would only be beneficial if procurement in those narrower markets materially INCREASED the long-term, bankable revenue certainty that enables new project construction. However, in practice, the opposite is likely to occur. 

A requirement to procure within narrowly defined grids could HARM global decarbonization if:
(a) Less impact if companies move procurement to cleaner grids rather than those with higher emissions and greater need for new renewable capacity;
(b) Less impact if buyers concentrate support for renewables in regions with stronger policy support rather than regions where private action matters most;
(c) Less impact if companies abandon long-term forward contracts that enable new projects in favor of short-term spot purchases that represent uncontracted and unbankable revenue; 
(d) Less impact if companies focus only on their local grid and stop taking action once it is relatively clean.

As CRS has noted, restricting procurement to smaller geographic regions “constrains access to clean electricity and risks slowing renewable deployment.”[1] Broader boundaries, by contrast, allow buyers to act where their investment can make the greatest additional impact. 

Over time, narrowing boundaries would drive more clean-energy buildout in already-clean regions and less in dirtier grids, ultimately slowing global emissions reduction.

[1] Missteps in Proposed Updates to GHG Protocol’s Scope 2 Guidance (CRS, Oct 2025)

https://resource-solutions.org/missteps-in-proposed-updates-to-ghg-protocols-scope-2-guidance/

Select all options that apply:

Proposed deliverability requirements do not improve alignment with GHG Protocol Principles

Concern that narrower market boundaries restrict companies' abilities to invest in areas where renewable energy development could yield the greatest decarbonization impact

Concern that narrower market boundaries could prompt a shift away from long-term agreements (i.e., PPAs) to spot purchases (unbundled certificates)

Sourcing contractual instruments within deliverable market boundaries should follow an optional “may” rather than a required “shall” approach

Sourcing contractual instruments within deliverable market boundaries should follow a recommended “should” rather than a required “shall” approach

Concern that the defined market boundaries do not align with mandatory or voluntary reporting requirements in your region

Support deliverability in principle, but the proposed market boundary for my region does not reflect deliverability

Market boundaries should be defined as the geographic boundaries of electricity sectors, which align with national, and under certain circumstances, multinational boundaries

Exemptions to matching within deliverable market boundaries should be allowed for markets lacking sourcing options

Other (please explain)

86. Please provide reasons of concern or why you are not supporting, if any.

87. Please provide comments regarding your selected reasons for why you are not supporting. 

Requiring narrower deliverability regions does more harm than good. The limited gains in perceived inventory rigor are outweighed by the loss of real-world impact, reduced feasibility, and poorer alignment with GHG Protocol’s own principles of accuracy, impact, and feasibility.

Limited improvement:
As established in FERC Order 888 (1996) and reaffirmed by experts including Resources for the Future, electricity cannot be physically traced from one generator to one consumer. Defining “deliverability” zones does not change this. Even at the sub-balancing authority level, grid congestion and dynamic dispatch prevent any guarantee that matched generation was physically delivered or even meaningfully deliverable to load. “Deliverable” is a theoretical construct, not an observable property of grid operations, and does not imply delivery. Narrow boundaries may limit the most extreme mismatches but do not improve scientific accuracy or verifiability relative to annual matching.

Reduced impact: 
CRS and others have warned that narrowing market boundaries reduces access to clean electricity and weakens incentives for long-term forward contracts such as PPAs and VPPAs.[1][2] These contracts remain the most effective mechanism for enabling new projects. Requiring buyers to transact only within narrow regions pushes them toward short-term spot purchases from existing assets, which rarely acts as enabling contracted or bankable revenue to projects.

Recommendations:
(1) Granular location matching should be optional (“may” rather than “shall”). Broader deliverability regions are appropriate for the market-based method because they maintain feasibility for long-term contracting. The location-based method should measure actual consumption, while the market-based method should measure the impact of market participation.

(2) If not (1), exemption thresholds should also make granular location matching optional as hourly matching is only half the problem for long-term contracting.[2]

(3) If granular location matching is required and exemption thresholds are not applied, we should be careful to brand the resulting MBM reporting as “accurate.” The physical and economic limits of deliverability make such claims misleading.[3]


References:

[1] Missteps in Proposed Updates to GHG Protocol’s Scope 2 Guidance (CRS, Oct 2025) https://resource-solutions.org/missteps-in-proposed-updates-to-ghg-protocols-scope-2-guidance/

[2] Caught in the Middle - How Hourly Matching Reduces Impact for Distributed Loads https://img1.wsimg.com/blobby/go/15907343-a52a-4fb2-acba-527a9dd22090/Caught%20in%20the%20Middle-c029cc3.pdf

[3] Expert Consensus Support for a Rigorous Definition of “Deliverability” in Scope 2 GHG Accounting https://zerogrid.org/wp-content/uploads/dlm_uploads/2025/05/iai-deliverability-memo.pdf 

Questions 88-91. Please answer the following questions 88-91 in regard to regions that you operate in or have experience in

88. For the United States, which of the following market boundaries would best uphold the principle of deliverability and align with the decision-making criteria?  (Please see the table Proposed methodologies for demonstrating deliverability for references to these options):

89. If you selected options (a), (b) or (c) for question 88 please explain why this option best upholds the principle of deliverability and balances integrity, impact, and feasibility of the MBM. Please also provide comments on the relative feasibility challenges of applying the other options.   

All of the proposed options are flawed in different ways. Each attempts to reflect “deliverability,” but none can do so accurately because electricity cannot be physically traced on the grid. If it must be one of the proposed options, option (c), the wholesale market or balancing authority boundary, is the least damaging. It aligns with how U.S. power markets and transmission systems actually function and avoids breaking up large, integrated systems such as PJM.

However, we believe a better approach is needed. Market boundaries should reflect both how electricity markets operate and how buyers can procure in impactful ways. Creating smaller or artificial boundaries will not improve accuracy and will make it harder for companies to use long-term contracts that finance new renewable projects. A single boundary for the continental U.S. and Canada would preserve integrity, feasibility, and impact while remaining consistent with real market structures.

90. For deliverable market boundaries (outside of the United States) identified in the table Proposed methodologies for demonstrating deliverability: Deliverable Market Boundaries, please provide comments on whether these market boundaries: 

Please describe this boundary Please clearly identify the region you are referring to in your comments: 

  • Appropriately reflect the deliverability of electricity in that region 
  • Align with mandatory or voluntary reporting requirements in that region, please provide an example of the programmatic requirements and the impacts of these proposed changes on alignment 
  • Are likely to cause any region-specific feasibility challenges (provide specific examples) 
  • If you prefer a different deliverable market boundary than identified in the table Proposed methodologies for demonstrating deliverability: Deliverable Market Boundaries, please describe this boundary 

Deliverability boundaries should be aligned with real power-market structures rather than theoretical notions of physical tracing. The key goal should be enabling credible accounting while maintaining pathways for impactful procurement.

For large, interconnected systems—such as Europe, North America, and Australia—boundaries based on synchronous grids or existing wholesale markets are the most practical and credible. These reflect how electricity is actually traded and dispatched and allow cross-regional procurement that can finance new projects in areas with the highest emissions.

In smaller or less integrated regions, boundaries should remain broad enough to avoid cutting off access to meaningful market participation. Narrow boundaries will not improve scientific accuracy and will only reduce the feasibility of corporate action.

91. For regions not specified in the table Proposed methodologies for demonstrating deliverability: Deliverable Market Boundaries, please provide examples of market boundaries that uphold the principle of deliverability and balance integrity, impact, and feasibility of the MBM.

Deliverability boundaries are a well-intentioned but flawed concept. As established in FERC Order 888 (1996) and reaffirmed by experts, including recent work by Resources for the Future, electricity cannot be physically traced from a specific generator to a specific point of consumption. Adopting deliverability boundaries does not change this. It only adds complexity that makes long-term contracting for new renewable projects more difficult, costly, and often inaccessible.

Evaluated against the GHG Protocol’s criteria:

Integrity (accuracy):
No regional boundary can ensure that power generated in one location was delivered to a particular consumer. Grid operators dispatch electricity based on system reliability and economics, not on contractual matching. Narrowing market boundaries gives a false sense of accuracy. Electricity accounting is and will remain allocational, not physical, so smaller “deliverability” zones do not improve scientific integrity. As CRS notes, “electricity does not carry the emissions attributes of its generation, and RECs exist precisely because physical delivery of renewable electricity on the grid is impossible.”[1]

Impact (climate outcomes):
Smaller boundaries limit the ability of buyers to support new projects through long-term forward contracts. Power purchase agreements (PPAs), virtual PPAs, and forward REC contracts provide the revenue certainty that enables project financing. Restricting their use to narrow deliverability zones shifts demand toward spot purchases from existing assets. Broader boundaries allow buyers to act where they can have the most additional impact, especially in regions with higher emissions. CRS has warned that “restricting clean electricity procurement to smaller geographic regions would constrain access to clean electricity and risk slowing renewable deployment and dampening overall demand.”[1]

Feasibility:
Regional deliverability tests would add unnecessary complexity for companies and developers. A single consistent boundary for the United States that includes the continental U.S. and Canada is the most practical solution and enables growing use of long-term contracts that fund new capacity. CRS similarly concludes that “market boundaries should align with electricity sectors—national or multinational systems where active energy and attribute trade occurs—because these are stable, transparent, and feasible for buyers and sellers to apply.”[1]

Accordingly, we recommend the following hierarchy for market boundaries:

Preferred: A market boundary encompassing the continental U.S. and Canada. In Europe, this would be Continental Europe, U.K., Ireland, and the Nordics. Smaller peripheral systems (for example Iceland, Cyprus, Malta, or parts of the Balkans not synchronized with ENTSO-E) could each remain separate.

Alternative: If the U.S. and Canada must be further divided, boundaries could be based on synchronous grids (Eastern, Western, and ERCOT).

Broader market boundaries better reflect real power-market integration, maintain feasibility for buyers, and sustain the financial mechanisms that drive new clean-energy investment. More options lead to more projects, greater avoided emissions, and faster progress toward decarbonization. Narrow deliverability regions do not achieve these goals.

[1] Missteps in Proposed Updates to GHG Protocol’s Scope 2 Guidance (CRS, Oct 2025)

https://resource-solutions.org/missteps-in-proposed-updates-to-ghg-protocols-scope-2-guidance/

Questions 92-96. The following questions concern how a requirement to use deliverable market boundaries would change your workload and implementation costs relative to current MBM practice after applying feasibility measures (e.g., phased timing and legacy clause)? Please answer with respect to the deliverable boundary requirement only, the combined impact of market-based method changes on feasibility will be evaluated in the “combined questions for updates to MBM” section. Please also assume the default exemption conditions selected in Section 5.3.1. 

Note: This section is about administrative implementation (internal effort and external service costs). Do not include procurement price differences for EACs/PPAs; those are covered in the “combined MBM questions” section 5.4.

Who should answer: This item is optional and intended primarily for reporters (or service providers responding on behalf of a specific reporter/client) with direct knowledge of implementation effort and spend. If you are not preparing or overseeing a scope 2 inventory for a specific organization, you may skip this item or answer only where you have direct experience.

92. Please estimate the anticipated internal administrative effort (people/process/controls) of the proposed deliverability requirement relative to your current MBM process using broad market boundaries. Assume 3 is your current level of effort.

Select only one:

1 - Much less 

2 - Slightly less

3 - Same 

4 - More 

5 - Much more

93. Please estimate the anticipated external service cost (cash outlays to vendors, data, assurance) of the proposed deliverability requirement relative to your current MBM process using broad market boundaries. Assume 3 is your current external cost.  

Select only one:

1 - Much less 

2 - Slightly less

3 - Same 

4 - More 

5 - Much more

94. What are the feasibility measures you would anticipate relying on to report using deliverable market boundaries:

Select all options that apply:

Phased implementation

Legacy clause

95. What are the assumed main drivers affecting internal workload and external service costs after applying feasibility measures: 

Select all that apply:

Data access/rights for EACs/registries aligned to deliverable market boundaries

Vendor/platform upgrades or new tools

Data integration (profiles, APIs), system configuration

Assurance/internal controls and evidence trails

Staff capacity/training

Contracting/sourcing changes for contractual instruments within deliverable market boundaries

Metering/activity data reporting configured to match deliverable market boundaries

Other (specify)

96. Please provide any additional comments regarding your response to questions 92-95.

Contracts signed prior to the implementation of new Scope 2 standards (including any defined phase-in period) should be honored for their full contract duration as addressing a company’s Scope 2 inventory under the current rules.

The phased implementation and legacy clause are essential to ensure fairness, stability, and credibility in the market-based method. Many companies signed long-term forward contracts under guidance from the existing GHG Protocol, which explicitly encouraged such agreements as the preferred mechanism for impactful procurement. These contracts were made in good faith based on the rules and definitions then in place.

Invalidating or retroactively disqualifying those contracts would not only impose a significant administrative and legal burden but would also damage confidence in the GHG Protocol as a stable foundation for corporate climate action. It would penalize the very companies that took the most impactful and forward-looking actions, while rewarding those that delayed.

Feedback from companies of all sizes indicates that achieving sustainability goals is the primary motivation for entering into long-term PPAs and VPPAs. If those contracts were no longer recognized as addressing a company’s Scope 2 inventory, the resulting financial and reputational harm would be substantial, both for companies and for the clean energy projects that depend on their offtake. It could also invite legal disputes over misrepresentation or detrimental reliance on prior GHG Protocol guidance.

To preserve market confidence and maintain the credibility of Scope 2 accounting, legacy contracts must remain valid and recognized for their full term under the rules in effect at the time of signing.

Questions 97-112. New guidance for Standard Supply Service (SSS)

97. On a scale of 1-5 do you support the new guidance for Standard Supply Service (SSS) and requirement that a reporting entity shall not claim more than its pro-rata share of SSS. 

Select only one:

1 - No Support

2 - Little Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

98. Please provide reasons of support, if any. 

Select all that apply:

Helps ensure that SSS resources are fairly allocated to all consumers and prevents procurement by specific organizations

Clarifies the order of operations so that organizations may claim SSS first and then make voluntary procurements

Supports consistent treatment of shared supply across different market structures

Protects the integrity of market-based accounting by avoiding double counting of attributes from SSS

Other (please explain)

99. Please provide comments regarding your selected reasons for support.  

We have “little support” for the proposed guidance on Standard Supply Service (SSS). The concept is well intentioned, but in its current form it would reduce transparency, comparability, and the incentive for new clean energy investment that the market-based method was designed to create.

SSS appears intended to prevent companies from claiming more than their fair share of shared clean supply, which is a valid concern in some regions of the world, but not all. Introducing SSS would blur the distinction between the LBM and MBM, add unnecessary complexity, dramatically weaken demand, and create uncertainty about attribution boundaries. 

If SSS moves forward, we believe the following are important to consider:

1) SSS claims must be based on attribute ownership, including the retirement of contractual instruments (RECs), where they exist, on behalf of customers. Without this requirement, there is a risk of double counting.

2) The definition of SSS must be narrowly and clearly scoped to include only generation for which customers have a financial or regulatory claim to the attributes. For example, policies that are source-based[1] or financial arrangements that do not convey attribute ownership should NOT qualify as SSS. Allowing such resources to be deemed SSS while their RECs are sold to voluntary buyers would create a significant risk of double counting or the loss of valid voluntary claims.

3) There should be no default designation of resources as SSS in situations where electricity providers do not supply SSS data and no third-party registry exists, because automatic qualification would increase the risk of double counting (especially in markets where specified generation can be transacted).

4) Customers should be able to determine their SSS allocations using information about retired RECs provided directly by their electricity suppliers. Allowing customers to derive allocations from supplier-disclosed data is practical, consistent with existing utility reporting practices, and avoids unnecessary dependence on a centralized registry where supplier allocation is already possible.

[1] Guide to Electricity Sector Greenhouse Gas Emissions Totals https://resource-solutions.org/wp-content/uploads/2022/11/Guide-to-Electricity-Sector-Greenhouse-Gas-Emissions-Totals.pdf#page=2

100. Please provide concerns or why you are not supporting.

Select all that apply:

Markets should self-determine how resources that fall under SSS are allocated to customers

Concern of regionally applicable challenges to implementation

Unclear how partial subsidies affect SSS classification

Unclear rules/definition of SSS

All contractual instruments should be eligible for voluntary procurement.

Other (please explain)

101. Please provide comments regarding your selected reasons for why you are not supportive.

As drafted, Standard Supply Service (SSS) appears intended to serve two roles within the proposed MBM revisions. First, it allocates a customer’s pro rata share of generation funded through regulated, mandated, or shared-cost programs. Second, it functions as the scope 2 proposal’s implicit “incrementality pillar,” filling the role of baseline new-capacity support in a framework that otherwise restricts voluntary procurement through hourly and deliverability requirements. Members of the Technical Working Group, including EnergyTag[1], have described SSS in this way and have noted that it must be strengthened to credibly serve that function.

In practice, the proposal does not establish a reliable incrementality test or a clear tracking system for allocating SSS attributes. Instead, it introduces complexity, expands MBM-eligible supply in ways that reduce voluntary demand, and weakens the transparent certificate-based accounting that underpins the market-based method.

1. Attribute ownership, tracking, and auditability
The MBM depends on verifiable ownership and retirement of energy attribute certificates. SSS should operate only where suppliers retire RECs or equivalent certificates on behalf of customers and where those retirements are transparent and auditable. The proposal instead allows two pathways: allocation and retirement by suppliers, or customer claims through a centralized database even when suppliers do not retire certificates. The second pathway breaks the principle of exclusive attribute ownership, creates attribution overlap, and introduces new risks of double counting. Even for supplier-allocated SSS, the proposal lacks clear requirements for transparent reporting, timestamped attributes, or verification across markets without mature REC systems.

2. Market distortion and loss of impact
Voluntary market impact depends on scarcity, participation, and bankable contracted revenue. Long-term forward contracts provide that revenue signal. SSS disrupts this dynamic by reallocating large volumes of legacy clean generation (often hydro, nuclear, or other regulated assets) into MBM accounting. Even if these resources were funded through compliance programs or cost-recovery mechanisms, adding them to MBM supply expands the clean resource pool without increasing demand. This suppresses prices, reduces demand for voluntary procurement, and undercuts the very investment signal the MBM is designed to send. 

3. Implementation and comparability
If SSS is retained, it must be narrowly defined, apply only where customers have a mandatory financial relationship with the resource, and require certificate retirement to verify allocation. Automatic qualification, supplier attestations, or claims made through centralized databases without certificate retirement undermine comparability and are inconsistent with existing REC-based systems. The proposal also leaves key questions unresolved: what happens in markets without tracking systems, how hourly credit is assigned (especially if SSS is provided without timestamped certificates), and how reporters identify remaining hours requiring procurement.

As drafted, SSS shifts the MBM away from its purpose of measuring and incentivizing voluntary contractual action. It weakens transparency, distorts market signals, and increases the risk of double counting. The result would be less new clean energy, not more.

[1] EnergyTag’s GHGP Scope 2 Public Guidebook: https://scopetrue.org/wp-content/uploads/2025/11/GHGP-Scope-2-Public-Guidebook.pdf#page=23

102. Are there resources in your region that do not fit clearly within the outlined examples of SSS but should be allocated to all customers under this framework? If so, please provide examples and explanations for each. 

If suppliers determine what qualifies as SSS or how to allocate it, and buyers can still claim it even when suppliers don’t allocate or retire attributes, the framework will remain inconsistent, unauditable, and open to manipulation. Clear definitions alone cannot fix a system that allows claims without verifiable ownership or retirement of certificates.

103. Are there resources in your region that fit within the outlined examples of SSS but should not be allocated to all customers under this framework? If so, please provide examples and explanations for each.  

Several resources described in the proposed Standard Supply Service (SSS) examples should not be automatically allocated to all customers, as doing so would expand “clean” supply without improving impact, transparency, or consistency across markets.

1. Legacy or pre-existing clean generation not previously part of voluntary REC markets
Generation from legacy projects—particularly large hydro, nuclear, and other resources that have not historically issued or sold RECs—should not be eligible for SSS allocation. Even if these resources later establish tracking systems, their inclusion would flood the market with low-cost “clean” supply that does not represent new or incremental investment, suppressing demand for voluntary procurement and reducing the market signal that finances new projects. 

In so far as SSS is intended to act as the third pillar of incrementality, this could be done more easily by limiting SSS eligibility to projects built or repowered within the past 15 years. This would be consistent with the concept of maintaining a connection to recent investment and project enablement.

2. Untracked public resources or facilities without certificate retirement
Publicly owned or regulated assets (for example, legacy hydro or nuclear) that lack verifiable EAC retirement should not be allocated under SSS. Until transparent tracking systems are in place, their output should remain accounted for under the Location-Based Method.

In short, SSS should be narrowly applied to recent, regulated, and verifiable resources where customers have a mandatory financial relationship and certificates are transparently retired. Including older, legacy assets (even if tracked retroactively) would undermine market integrity and reduce incentives for new clean energy deployment.

104. Proposed examples of SSS include ‘facilities and/or supply that are subject to regulated cost recovery from a monopoly supplier as part of default service in a particular service area and are not part of a resource-specific supplier product (e.g. a green tariff)’. In this context, should a monopoly supplier include:

Select only one:

Vertically integrated investor-owned utility

Government entity operating in a service area without supplier choice

Distribution utility in a restructured market where certain electricity supply and/or contractual instrument purchases are subject to non-by passable, regulated cost recovery

Other (please explain)

Unsure

105. Please provide any additional comments regarding your response to question 104.

The proposal makes clear that allocation of SSS is voluntary: “Suppliers should allocate SSS electricity supply and related RECs … however, the GHG Protocol cannot require suppliers to allocate SSS electricity supply and related RECs to their customers.”

Because suppliers retain discretion, utilities will have strong incentives to classify their most valuable clean resources (such as hydro or wind) under green tariffs or other resource-specific programs to preserve REC sales and premium pricing. As a result, SSS would likely consist of lower-value or residual resources, reducing both the equity and representativeness of what it allocates.

106. Allocation of SSS requires either suppliers allocating their SSS resources to customers or the development of a credible centralized registry or third-party registries that track SSS in order for organizations to claim their share. Is it acceptable that some reporters may be unable to claim SSS prior to a credible centralized registry or third-party registries being established? If not, how else might SSS be allocated in the absence of a registry?

No, it is not acceptable. Without a centralized registry or certificate-based tracking system, there is no verifiable way to allocate, audit, or prevent double counting of SSS claims. RECs remain the only proven mechanism for tracking and retirement of clean energy attributes, and should be required for any SSS allocation.

107. Would you support a default option in cases where SSS data is not supplied by electricity providers, and no third-party registry is available, to designate certain resources as automatically qualifying as SSS?

Select only one:

Yes

No

Unsure

108. If you answered “No” to question 107, please provide any additional comments on why you would not support a default option

Allowing default options for SSS data would reduce comparability and credibility within the Market-Based Method. Defaults may simplify reporting, but they would yield inconsistent and unverifiable results even among entities operating in the same market.

The need for defaults highlights the limitations of the SSS concept and reinforces that hourly matching should remain optional. Where verified hourly or SSS data exist, organizations should use them; where they do not, a parallel consequential or impact-based metric should be available to maintain consistency and preserve incentives for new clean energy deployment.

109. If you answered “yes” to question 107, which of the following criteria, if any, would you support as a method of designating resources as SSS.

Select all that apply:

Project age

Technology or fuel type

Project ownership (e.g. government owned projects)

Projects tracked in compliance registries

Combination of above criteria

Other (please specify)

110. If you answered 'Other' please provide additional feedback.

Certain technologies, such as large hydro and nuclear, are too capital-intensive and long-lived for voluntary buyers to meaningfully influence through REC purchases. Yet companies are beginning to take credit for their output [1][2], and suppliers are looking to capitalize on demand for firm clean generation by including these older assets in new green tariffs [3].

These legacy resources are already captured in the location-based method’s emission factors. Including them again under the market-based method would reduce accuracy, comparability, and the incentive to procure new capacity.

Mechanisms like green tariffs already allow suppliers to share RECs with ratepayers. A better approach would be to (1) limit the use of such instruments to their share of hourly generation (for example, if hydro provided 40% of generation in that hour, a buyer using a green tariff could claim no more than 40% of that hour’s load as covered) and (2) exclude older or non-incremental projects from MBM crediting, such as projects more than 15 years old unless covered by a long-term contract signed before COD.

[1] Brookfield and Google Sign Hydro Framework Agreement to Deliver up to 3,000 MW of Homegrown Energy in the United States
https://bam.brookfield.com/press-releases/brookfield-and-google-sign-hydro-framework-agreement-deliver-3000-mw-homegrown

[2] Microsoft and Powerex Enter Into Carbon-Free Energy Agreement
https://www.orrick.com/en/News/2023/07/Microsoft-and-Powerex-Enter-Into-Carbon-Free-Energy-Agreement 

[3] Entergy Arkansas gets green light for commercial customers to Go ZERO https://www.entergy.com/news/entergy-arkansas-gets-green-light-for-commercial-customers-go-zero#:~:text=meet%20their%20sustainability%20goals%2024/7%20by%20using%20our%20nucle ar%20and%20hydroelectric%20plants%20and%20our%20growing%20portfolio%20of%20renewa ble%20energy%20resources

111. If SSS is not uniformly available across regions, how would this affect comparability of scope 2 MBM reporting? What interim solutions or disclosures would reduce inconsistency? 

If SSS is not available across regions, comparability of MBM reporting will worsen. Some entities would report lower Scope 2 emissions simply because their utilities allocate SSS, not because of any difference in procurement action or climate impact.

If SSS remains part of the MBM, interim disclosures should clearly differentiate between SSS allocations and voluntary contractual instruments backed by certificates. Reporters should disclose the share of MBM claims sourced from SSS versus voluntary procurement, along with whether certificates were retired or only allocated, to preserve transparency and comparability

112. Please provide any additional feedback on SSS.

We appreciate the intent behind Standard Supply Service (SSS), but we do not believe it represents a net improvement to Scope 2 accounting. SSS adds complexity without delivering clarity, transparency, or additional impact.

In principle, SSS seeks to prevent companies from over-claiming public or ratepayer-funded clean supply. In practice, it overlaps almost entirely with the location-based method. It turns market-based reporting into an exercise in identifying which hours of consumption were “dirty” and procuring only for those, rather than supporting total load through long-term, bankable contracts. This shift encourages short-term, unbundled REC purchases that do little to finance new projects.

The system is also open to manipulation. Utilities can reclassify desirable resources, such as legacy hydro or wind, into green tariffs to preserve REC sales, leaving SSS portfolios dominated by lower-value or fossil resources. At the same time, companies may receive pro-rata “pseudo-RECs” without certificate tracking or retirement, further blurring the boundary between the location-based and market-based methods and increasing the risk of double counting.

We respect the intent to prevent companies from “starting at zero” under the MBM, but the proposed framework does so by eroding the MBM’s purpose. Unless SSS is radically simplified or replaced with a clear, certificate-based mechanism, it will weaken market integrity and undermine the investment signal that Scope 2 reporting is meant to convey.

Finally, if SSS is to serve as a proxy for the “third pillar” of incrementality, eligibility should be limited to projects built or repowered within the past 15 years.

Questions 113-117. Updated definition of residual mix emission factors

113. On a scale of 1-5 do you support the updated definition of residual mix emission factors to reflect the GHG intensity of electricity, within the relevant market boundary and time interval, that is not claimed through contractual instruments, including voluntary purchases or Standard Supply Service allocations? 

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

114. Please provide reasons of support, if any.

Select all that apply:

Establishes clear definition for residual mix emission factors

Improves accuracy and relevance of market-based reporting

Protects the integrity of market-based accounting by avoiding double counting of attributes within the MBM

Clarifies the market boundary a residual mix emission factor should be calculated for

Improves comparability and transparency across organizations and regions

Helps incentivize voluntary sourcing of contractual instruments

Provides an option for reporters without access to an hourly residual mix emission factor

Other (please explain)

115. Please provide comments regarding your selected reasons for support.  

Besides the specified reasons selected in Question 114, we clarify our support for the move from average emissions factors (which would result in double-counting of some clean energy) to residual mixes with fossil mix backups.

116. Please provide reasons of concern or why you are not supporting, if any.

Select all that apply:

Requiring a residual mix emission factor to be calculated per market boundary will further reduce availability of residual mix emission factors

Allowing reporters to use different temporal precision of residual mix emission factors within a deliverable market boundary will negatively impact comparability

Market boundaries used for calculating a residual mix emission factor should be defined as the geographic boundaries of electricity sectors, which align with national, and under certain circumstances, multinational boundaries

Markets should self-determine if Standard Supply Service is included in a residual mix emission factor

Increases administrative complexity of calculating a residual mix emission factor

Other (please explain)

117. Please provide comments regarding your selected reasons for why you are not supporting.  

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Questions 118-123. The following questions refer to the availability of residual mix emission factor data in global markets. Who should answer: Respondents with direct operational knowledge (users, operators, vendors, auditors): Please answer for up to three registries/markets you know well.

118. In the regions/markets you follow, how close are certificate systems / registries / data providers to being able to publish residual mix emission factors within deliverable market boundaries? (For the US, please answer in regard to your preferred deliverable market boundary as outlined in Section 5.3.1 question 69.)

Select only one:

1 - Far from ready

2 - Somewhat ready

3 - Neutral

4 - Mostly ready

5 - Largely ready

Insufficient basis to assess

119. Short comment (optional ≤100 words): Name regions where this already works vs. does not, in your view. 

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120. Please indicate your expected lead-time to reach “ready” (score 4–5), based on your current trajectory: 

Select only one:

<12 months

12–24 months

24–36 months

>36 months

5 - Unknown ready

121. Please indicate your expected lead-time to reach “ready” (score 4-5), if investment/coordination accelerate:  

Select only one:

<12 months

12–24 months

24–36 months

>36 months

5 - Unknown ready

122. Please describe the basis for your assessment: 

Select only one:

Public roadmap/docs

Operator/vendor commitments

Pilot/production use

Professional judgment

Other (specify)

123. Please provide any additional feedback on residual mix emission factors. 

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Questions 124-129. Provide new requirement for use of fossil-based emission factors

124. On a scale of 1-5, do you support the requirement that for any portion of electricity consumption not covered by a valid contractual instrument and where no residual mix emission factor is available, a reporter shall apply a fossil-based emission factor? 

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

125. Please provide reasons for support, if any.

Select only one:

Helps improve accuracy and scientific integrity of MBM by reducing the risk of double counting of carbon free electricity

Provides an option for reporters without access to a residual mix emission factor

Incentivises development and publication of residual mix emission factors by requiring use of a more conservative emission factor as a fallback option

Other (please specify)

126. Please provide comments regarding your selected reasons for support.

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127. Please provide reasons for concern or why you are not supporting, if any.

Select only one:

Defaulting to fossil-based emission factors is overly conservative and may overstate actual emissions

Organizations that lack access to residual mix data due to systemic or regional limitations may be disproportionately impacted

Undermines comparability between organizations that can access residual mix data and those that cannot

Misaligned with the definition and/or purpose of the MBM

Other (please specify)

128. Please provide comments regarding your selected reasons for why you are not supporting. 

While we recognize the intent to prevent double counting, we have concerns about how this fossil-based fallback interacts with the proposed Standard Supply Service (SSS). In effect, the proposal separates the grid mix into “clean” hours assigned zero emissions factors and “dirty” hours assigned fossil-based factors. This approach effectively recreates the location-based method at an hourly level while removing the need to procure RECs for total load, only for selected fossil-designated hours.

This structure conflicts with the GHG Protocol’s stated goals of improving accuracy and driving impact. It adds complexity and uncertainty without improving verifiability, and it weakens the market signal that the MBM was designed to create. If implemented, companies would face increased reporting burden while contributing less to new clean energy investment.

We recommend that the Protocol illustrate this rule with sample inventories from different markets to clarify the practical implications and ensure it does not unintentionally erode voluntary procurement.

129. Please provide feedback regarding whether the requirement to apply a fossil-based emission factor, where no residual mix emission factor is available, should incorporate global equity considerations given the different levels of residual mix emission factor data available globally? And if so, how?

Yes, global equity should be considered. Organizations that lack access to residual mix data (often those in emerging or less liberalized markets) would be disproportionately affected by a fossil-based default. Applying a universal fossil fallback penalizes them for conditions outside their control while doing little to incentivize data improvements.

Equity considerations could be addressed by allowing credible regional grid-average emission factors as an interim substitute until residual mix data are available. However, the larger concern is that these fallback rules, combined with SSS, could disincentivize voluntary clean procurement globally by turning the MBM into a hybrid of pre-allocated clean and fossil power. That outcome would be both inequitable and counterproductive.

Questions 130-134. Combined questions on updates to the market-based method

The following questions refer to the complete set of proposed market-based revisions and feasibility measures, inclusive of:

  • Hourly matching requirement 
  • Deliverability requirement 
  • Standard supply service 
  • Updated guidance on residual mix factors 
  • Fossil-based emission factor default 
  • Threshold exemptions 
  • Legacy clause 
  • Phased implementation     

Responses to questions should focus on the impact of these combined revisions, and not specific components of the market-based revision. Please assume the default exemption conditions selected in Section 5.3.1

130. Are the proposed feasibility measures (e.g., use of load profiles for matching, exemptions to hourly matching, legacy clause, and phased implementation) sufficient to support implementation of the proposed market-based revisions at scale? 

Select only one:

1 - Insufficient

No basis to assess

2 - Somewhat sufficient

3 - Sufficient

4 - Moderately sufficient

5 - Highly sufficient

131. Please provide any additional comments regarding load profiles that need adjustment to support implementation of the proposed market-based revisions at scale. Explain how changes would make implementation feasible without undermining accuracy and integrity of the MBM.  

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132. Please provide any additional comments regarding phased implementation that need adjustment to support implementation of the proposed market-based revisions at scale. Explain how changes would make implementation feasible without undermining accuracy and integrity of the MBM.

A better solution would be for granular matching (hourly and narrower location) to be optional (“may”) instead of required (“shall”). If it is left as a requirement, a phased implementation is essential but, as proposed, still too narrow to mitigate market disruption. The phase-in period should prioritize testing and optional adoption before any mandatory requirements take effect. 

At a minimum, the GHG Protocol should:

1. Guarantee full grandfathering for existing contracts signed before the new standard takes effect, for the full term of the contract.

2. Extend the phase-in to at least 2035, allowing corporate buyers, developers, registries, and utilities time to adapt systems for hourly and locational matching.

3. Require pilot reporting during the transition period to evaluate the real-world feasibility of hourly matching, deliverability boundaries, and SSS before making them mandatory.

4. Allow organizations to opt in voluntarily to test hourly or SSS accounting alongside the existing MBM to build experience and data without jeopardizing existing commitments.

These steps would protect long-term forward contracting (the single most proven and impactful mechanism for enabling new renewable capacity) while allowing time to validate whether the new rules improve accuracy or impact in practice.

133. Please provide any additional comments on other feasibility measures (not outlined in questions 131-132) that need adjustment to support implementation of the proposed market-based revisions at scale. Note, any comments on exemptions to hourly matching and the legacy clause should be provided in sections 6 and 7.

Independent studies show that achieving 90-100% hourly matching can cost two to four times more than annual matching.[1] Other studies show that buyers must exceed 90 percent hourly matching to surpass the impact of annual matching.[2]

The greatest improvement to feasibility would be for granular matching should be optional (“may” not “shall”). 

We should do this not just to make the standards more feasible, but also because we don’t want companies to abandon their current goals for 100% renewable energy nor do we want to reduce the impact of the market by having them fall below 90% hourly matched (as research shows is less impactful than annually matched).

Even with the proposed exemptions, legacy clause, and phase-in, the combined hourly and deliverability matching requirements remain unworkable for many organizations. For large, distributed companies, hourly matching would require multiple overlapping procurement structures and data systems, while smaller entities would lose access to impactful long-term contracts altogether. 

The requirement therefore risks reducing participation, fragmenting global markets, and undermining the voluntary procurement mechanisms that have historically financed new renewable capacity.

Deliverability restrictions compound these issues by constraining buyers to narrower geographies, further shrinking liquidity and increasing costs without clear accuracy gains. If applied too broadly, these measures could make PPAs and VPPAs (the most proven and impactful tools for additionality) financially or contractually infeasible for many buyers.

Feasibility adjustments should instead prioritize:

- Voluntary adoption of hourly and deliverability matching before any mandatory rollout;

- Robust grandfathering of all existing long-term contracts through their full terms; and

- Parallel testing and publication of pilot inventories to assess accuracy and cost before adoption.

Without these changes, the combined revisions will raise costs, reduce participation, and weaken the market-based method’s ability to drive new clean energy investment.

[1] Evaluating the Impacts, Costs, and Consequences of Proposed Scope 2 GHG Emissions Reporting Standards
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5375940 

[2] Review of Research on the Impact of Voluntary Energy Procurement

https://zerogrid.org/wp-content/uploads/dlm_uploads/2025/05/iai-review-research-voluntary-energy-procurement.pdf 

Questions 134-141. Feedback from programs that are based on or use GHGP data has been to pursue improvements in accuracy and comparability of the market-based method, while balancing feasibility considerations. To help assess benefits relative to cost and effort in practice, please answer for your primary reporting/oversight context. 

134. Considering investor and assurance needs, how do the proposed market-based method revisions change the extent to which information is decision-useful to users relative to incremental cost and complexity for preparers? 

Select only one:

No meaningful improvement (unlikely to change comparability/interpretations)

Minor improvement (noticeable but unlikely to change comparability)

Moderate improvement (could change some comparability/assessments)

Substantial improvement (likely to change comparability benchmarks)

Not sure / no basis to assess

135. Please provide additional context for your answer to question 134.

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136. Considering investor and assurance needs, how do the proposed market-based revisions change the comparability of information relative to incremental cost and complexity for users?

Select only one:

No meaningful improvement (unlikely to change comparability/interpretations)

Minor improvement (noticeable but unlikely to change comparability)

Moderate improvement (could change some comparability/assessments)

Substantial improvement (likely to change comparability benchmarks)

Not sure / no basis to assess

137. Please provide additional context for your answer to question 136. 

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138. For questions 134-137, please provide the basis for your assessment

Select all that apply:

Direct empirical analysis (e.g., back-testing with hourly factors)

Operational experience applying hourly MBM

Professional judgment informed by literature/briefings

General awareness (no direct analysis)

Prefer not to say

139. Please estimate the anticipated change in procurement cost (i.e., price paid) for hourly-matched, deliverable EACs and/or PPAs relative to your current sourcing strategy. Assume 3 is your current external cost.

Select only one:

1 - Much less 

2 - Slightly less

3 - Same

4 - More

5 - Much more

140. What are the assumed main drivers affecting procurement price differences for hourly/deliverable EACs/PPAs relative to your current sourcing strategy: 

Select all that apply:

Hourly matching and deliverability requirements may change prices due to supply available at specific times and locations of demand

Shaping/firming or storage products required to align hourly supply with load

Contract tenor or credit/collateral requirements that increase all-in price

Need to structure multiple smaller PPAs instead of one large, aggregated contract, reducing economies of scale and increasing fixed transaction and development costs

If an entity elects to self-supply hourly matched, deliverable EACs exclusively via PPAs (and not use secondary/spot EAC markets), over-procurement may be needed to ensure full hourly coverage across deliverable sites and periods

Procurement costs to purchase EACs in secondary/spot markets to cover residual hours

Other (please explain in next question)

None

141. Please provide any additional comments on the anticipated change in costs for hourly-matched, deliverable EACs, PPAs, etc. relative to current practices. If applicable, please include comments if and how this would impact your procurement strategy for carbon free electricity?

For most organizations, especially those with distributed loads, hourly matching with deliverability would dramatically increase procurement costs while reducing market impact.

Princeton ZERO Lab’s System-level impacts of voluntary carbon-free electricity procurement strategies stated that “hourly matched procurements reduce system-level emissions but at a cost premium.”[1] The premium varies by region, matching percentage, and procurement method. Other research shows that buyers must exceed roughly 90 percent hourly matching to achieve greater emissions impact than annual matching, and costs rise steeply beyond that point.[2]

Higher costs are not inherently problematic if they signal scarcity and direct investment toward new clean capacity. The concern is that these costs will often result in uncontracted and unbankable revenue for existing projects as buyers turn to short-term spot purchases instead of long-term agreements that enable project financing. This shift would weaken the voluntary market’s ability to drive new clean energy development.

Documented drivers of this cost and impact shift include:

- Making clean grids cleaner: Forced to buy locally, some buyers will compete with strong regulatory support for renewables and procure on already clean grids, while regions with dirtier grids are left further behind. It is common for committed buyers to be located in regions where the government is equally committed.

- Build smaller, buy less: Because hourly matching discourages overproduction, buyers will be encouraged to size on-site systems to avoid excess generation in any given hour rather than over the full year. And there will be more reason to avoid long-term contracts that might produce surplus RECs they must later sell.

- Contracts may bust: Hourly matching requires many smaller local contracts instead of a few large V/PPAs, reducing economies of scale and increasing transaction costs.[3][4] Even buyers still large enough to use V/PPAs will face higher costs as each deal has fixed costs. Others will find contracting infeasible, either due to lower demand per contract (developers prefer single offtakers) or regional barriers to long-term contracting.

To preserve feasibility and impact, granular matching should remain optional (“may,” not “shall”). Programs and initiatives can still build upon it voluntarily, but mandatory adoption would raise costs, reduce participation, and weaken the market-based method’s ability to deliver new clean energy.

[1] System-level impacts of voluntary carbon-free electricity procurement strategies https://www.cell.com/action/showPdf?pii=S2542-4351%2823%2900499-3#:~:text=Hourly%20matched%20procurements%20reduce,at%20a%20cost%20premium

[2] Review of Research on the Impact of Voluntary Energy Procurement https://zerogrid.org/wp-content/uploads/dlm_uploads/2025/05/iai-review-research-voluntary-energy-procurement.pdf

[3] Limitations of Hourly Matching Claims for Scope 2 Reporting https://ghginstitute.org/2025/05/30/hourly-matching-limitations-for-scope-2-reporting/ 

[4] Caught in the Middle - How Hourly Matching Reduces Impact for Distributed Loads https://img1.wsimg.com/blobby/go/15907343-a52a-4fb2-acba-527a9dd22090/Caught%20in%20the%20Middle-c029cc3.pdf  

Questions 142-145. These questions seek input on potential financial-reporting implications, beyond scope 2 reporting, arising from the proposed MBM criteria. Please only respond to this section if these issues are relevant to your organization, or you have direct expertise or experience with financial reporting under IFRS or GAAP. 

142. Beyond Scope 2 reporting, do the proposed MBM criteria (hourly matching, deliverability, inclusive of feasibility & transition design) pose material IFRS/GAAP financial-reporting impacts for PPAs or similar instruments (e.g., IFRS 9 own-use/hedge accounting, IAS 37 onerous contracts)?

Select only one:

1 - No impacts

2 - Low impacts

3 - Neutral impacts

4 - Moderate impacts

5 - Significant impacts

143. Please briefly explain your rating: identify which accounting areas could be affected and why (for example, IFRS 9 own-use eligibility, hedge accounting, IAS 37 onerous-contract risk), and note the main factors driving the impact (for example, hourly matching, deliverability, contract terms such as tenor, penalties, or close-out provisions).

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144. If mid–high impacts: select affected areas:

Select all that apply:

Own-use

Hedge accounting

IAS 37

Other (please explain)

145. For each area selected in question 144, briefly note key drivers (e.g., main contract or accounting features driving the impact).

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Questions 146-152. The following section of questions focuses on principle-based considerations for the reporting of emissions associated with electricity within and outside of the scope 2 inventory.

146. Considering the full set of proposed revisions to the market-based method as discussed previously in this consultation, would the existence of a separate metric outside of scope 2 to quantify the emissions impact of electricity-related actions change your perspective on the proposed revisions?

Select only one:

Yes

Sonmewhat

No

I do not support the development of impact metrics outside the scope 2 inventory.

147. If you answered “yes” or “somewhat” to question 146, which of the following rationale captures your views?

Select all that apply:

Allows for continued investment in electricity projects outside of my deliverable market boundary

Provides a complementary metric to quantify actions such as energy storage or demand response 

Causes less disruption of existing electricity procurement practices

Provides additional relevant information for users of GHG data

Provides additional approaches for target setting

Other (please specify)

148. Please provide comments regarding your selected choices in question 147. 

All of the listed rationales could apply if the impact metric provided a genuine alternative path to granular matching within Scope 2. However, the proposal places this metric fully outside the inventory and subsequent guidance [1] makes clear that it cannot influence reported Scope 2 emissions. If the metric cannot reduce or offset Scope 2 totals, it will have limited practical value.

A metric that cannot affect inventories or target compliance will not shift real procurement behavior. Companies direct capital where accounting frameworks recognize the impact of their choices. A parallel, optional disclosure will function mainly as an academic supplement rather than a driver of meaningful investment.

Attributional boundaries do not prevent consequential impact from being used as an optional qualifier of supply. Allowing companies to disclose when procurement materially contributes to new capacity strengthens transparency and preserves the attributional structure of Scope 2. This would create a workable path for recognizing high-impact procurement while avoiding a full consequential accounting framework.

[1] Frequently Asked Questions: Scope 2 and Electricity Sector Consequential Accounting Public Consultations https://ghgprotocol.org/blog/frequently-asked-questions-scope-2-and-electricity-sector-consequential-accounting-public

149. If you answered “no” to question 146, please explain why a separate impact metric for electricity projects does not change your view of the proposed market-based inventory revisions. 

We support the idea of developing a separate impact metric to quantify the real-world effects of long-term forward procurement. However, as drafted, the proposal places this entirely outside Scope 2 accounting, meaning companies cannot use it to demonstrate progress toward their Scope 2 goals even though it “quantifies the emissions impact of electricity-related actions.”

That separation undermines its relevance. If the impact metric cannot reduce reported Scope 2 emissions, then hourly and locational matching remain the only path for companies to improve their inventories, regardless of whether those actions have greater or lesser system-level benefit. The result would be two disconnected systems: (1) scope 2 inventories optimized for compliance with hourly and deliverability rules, and (2) impact metrics reporting avoided emissions, with no mechanism to reconcile the two.

This division fragments corporate reporting and weakens both frameworks. It also risks a governance gap where GHG Protocol and SBTi each defer responsibility for integrating impact results, leaving companies without a clear signal for what counts toward their climate goals.

The promise of hourly and locational matching has been sold partly on claims of greater impact, yet this proposal makes no attempt to test, disclose, or standardize how that impact is measured or assured. Without integration into Scope 2 or target-tracking systems, companies will face higher costs and less flexibility but little incentive to innovate or pursue the high-impact procurement that actually builds new clean capacity.

150. If you answered “I do not support the development of impact metrics outside the scope 2 inventory” to question 146, which of the following rationale captures your views? 

Select all that apply:

There is no agreed-on methodology for calculating these impact metrics

The existence of impact metrics would divert investment from time-matched and deliverable electricity procurement

These metrics are not currently required in mandatory disclosure frameworks

These metrics are not currently part of target setting programs

These metrics may not be appropriately auditable

These metrics could result in greenwashing

Other (please specify)

151. Please provide comments regarding your selected choices in question 150. 

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152. In your view, balancing scientific integrity, climate impact, and feasibility, what scope 2 revisions or combination of revisions are most appropriate? Please address each of the three core decision-making criteria: integrity, impact, and feasibility in your answer, and describe how the approach satisfies each criterion.

Success depends on balancing integrity, impact, and feasibility. Revisions should improve accuracy in how electricity is used and how procurement affects real-world emissions.

For the location-based method (LBM), we support revisions that improve temporal and spatial accuracy of emissions data. This can also encourage operational actions, like shifting load to cleaner hours.

For the market-based method (MBM), revisions should improve the accuracy of impact on real emissions, not just optics of usage claims. Electricity cannot be physically traced. Hourly matching does not change that. These proposals conflate allocation accuracy with scientific validity. No single approach, hourly matching or additionality-based contracting, can serve all companies or markets. The standard should support multiple credible pathways.

The GHG Protocol could improve transparency by allowing consequential qualification within attributional accounting. Disclosing an instrument’s expected impact or financing contribution, without redefining Scope 2 as consequential, would strengthen clarity and comparability while preserving its attributional basis.

INTEGRITY:
Integrity requires consistency, verifiability, and clarity. The proposed revisions blur attributional boundaries by treating hourly deliverability as equivalent to physical delivery. Hourly matching does not make electricity traceable, and without certificate-backed verification, it risks weakening claim integrity. The only consistent and verifiable foundation for MBM accounting remains the retirement of RECs.

IMPACT:
Spot-market RECs often fail to drive new builds, but this stems from uncontracted revenue and low spot prices, not from annual matching. Long-term forward contracts (PPAs, VPPAs, or forward REC contracts) already provide bankable revenue that enables new capacity.

Hourly and deliverability rules would move buyers away from long-term contracts toward short-term spot purchases from existing assets. Buyers will pay more, but that spending will not enable project financing. Studies show steeply rising costs beyond ~90% hourly matching, while additional emissions benefits plateau.[1][2][3]

A stronger, science-based revision would recognize differing procurement impacts, enable optionality, and allow disclosure of impact metrics grounded in consequential logic. Used as a qualifier of supply rather than turning RECs into tCO₂ avoided, this would enhance transparency without redefining Scope 2.

FEASIBILITY:
Hourly and deliverable matching would raise costs and complexity, especially for organizations with distributed loads. It requires multiple smaller contracts, removes aggregation benefits, and excludes smaller buyers. Threshold exemptions don’t apply to location matching, and legacy exclusions are temporary. Optionality, through tiered disclosure or leadership programs, offers a more feasible path to higher-quality reporting without discouraging participation.

Integrity comes from verifiable certificates and consistent boundaries. Impact comes from financing new projects, not timestamp precision. Feasibility depends on optionality, not a single rigid framework. These goals align only if GHG Protocol supports multiple credible pathways instead of codifying hourly and location matching as the sole valid approach.

[1] System-level impacts of voluntary carbon-free electricity procurement strategies https://www.cell.com/action/showPdf?pii=S2542-4351%2823%2900499-3#:~:text=Hourly%20matched%20procurements%20reduce,at%20a%20cost%20premium

[2] Caught in the Middle - How Hourly Matching Reduces Impact for Distributed Loads https://img1.wsimg.com/blobby/go/15907343-a52a-4fb2-acba-527a9dd22090/Caught%20in%20the%20Middle-c029cc3.pdf  

[3] Limitations of Hourly Matching Claims for Scope 2 Reporting https://ghginstitute.org/2025/05/30/hourly-matching-limitations-for-scope-2-reporting/

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Section 6: Exemptions - Hourly Matching Exemption Threshold

Different options for threshold exemptions used in section 6:

Option 1. Companies with annual consumption up to [X] GWh/year in a deliverable market boundary may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary in accordance with the contractual instruments temporal data hierarchy.   

Option 2. Companies that meet the small and medium company categorization may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary in accordance with the contractual instruments temporal data hierarchy.     

Option 3. (Option 1 OR 2): Companies with annual consumption up to [X] GWh/year in a deliverable boundary OR meet the small and medium company categorization may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary in accordance with the contractual instruments temporal data hierarchy.   

Option 4. (Option 1 AND 2): Companies with annual consumption up to [X] GWh/year in a deliverable boundary AND meet the small and medium company categorization may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary in accordance with the contractual instruments temporal data hierarchy.

153. On a scale of 1-5 do you support allowing for exemptions to hourly matching using one of the options (1-4) described above?

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

154. Please provide your reasons for support, if any.

Select all that apply:

Reflects a reasonable balance of integrity, impact and feasibility as organizations under a threshold collectively contribute to fewer Scope 2 emissions than the largest consumers

Encourages organizations under a threshold to continue to engage in voluntary procurement using an annual procurement approach

Provides a more equitable approach for reporting as hourly matching could be more challenging for organizations under a threshold

Reduces transition strain on the electricity market and hourly matching infrastructure

Other (please provide)

155. Please provide any additional comments regarding your reasons for support. 

Granular (hourly+location) matching should be optional (“may” instead of “shall”). If such a requirement moves forward, exemptions are essential to limit damage to the voluntary market for long-term forward contracts. Granular matching is not feasible for many load structures, regions, and administrative systems, and would exclude many smaller or distributed organizations.

A more effective approach would make granular matching optional rather than mandatory with exemptions. Optionality, paired with a complementary consequential framework, would provide two credible, comparable pathways: one focused on usage accuracy and the other on impact. This structure would maintain feasibility while preserving market integrity and participation.

156. Please provide your concerns or reasons for why you are not supporting, if any.  

Select all that apply:

Reduces accuracy and relevance of MBM reporting

Introduces inconsistencies across companies, reducing transparency and comparability for users

Creates reputational risk and increases skepticism about MBM claims

Fragments the voluntary market and may slow the transition to wider availability/use of hourly data

Feasibility is better addressed via temporary measures (e.g., phase-ins/legacy) rather than ongoing exemptions

Tools and infrastructure are improving rapidly, making broad exemptions increasingly unnecessary

Support an exemption, but a different criterion should be used for defining eligibility

Other (please provide)

157. Please provide any additional comments regarding your concerns or reasons for why you are not supporting.

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158. What evidence and/or reasoned rationale supports the need for exemptions (e.g., dataaccess, costs, feasibility)?

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Questions 159-170. Load-based exemption threshold

159. Options 1, 3, and 4 introduce a GWh load threshold applied within a defined boundary. In section 5.3.1 question 70 you selected an exemption threshold of either of 5, 10, or 50 GWh per deliverable market boundary. If you prefer a GWh load threshold based on a different amount, propose a single threshold amount in GWh per boundary and explain why.

(a) Threshold [enter number] GWh per [deliverable market boundary / site / other] (b) Preferred option selected in section 5.3.1, question 70

We recommend a 100 GWh/year threshold per broader deliverable market boundary (e.g., regional or synchronous-grid boundaries like the continental U.S. and Canada). 

If smaller, sub-balancing-authority boundaries are used instead, a 50 GWh/year/region threshold may work.

Either way, 5-10 GWh/year/region is too low. 5-10 GWh/year equals roughly 0.6-1.1 MW average load, which many single hospitals, campuses, and factories exceed. Because exemptions apply per region, a 5-10 GWh threshold would capture far more firms than CDP’s global self-reported distribution suggests. To focus on truly large buyers, set the threshold at >50 GWh for narrow boundaries, scaling to 100-200 GWh for continental or synchronous grids.

This scaling preserves proportionality between an organization’s size, influence, and reporting burden. It ensures that mandatory hourly+deliverability matching applies only to the largest electricity consumers (e.g., hyperscale data-center operators, large industrials, and emerging clean-hydrogen producers) whose load materially affects grid operations and local energy prices.

Mid-size and smaller buyers lack the data access and procurement leverage needed for layering hourly and deliverability compliance with long-term forward contracting. Including those requirements would increase administrative complexity while adding little to system-level decarbonization. A higher threshold under broader boundaries maintains the same policy intent: targeting entities capable of managing hourly data and influencing grid outcomes, while keeping voluntary participation feasible and impactful for everyone else.

This approach aligns reporting precision with market influence and keeps the focus of mandatory hourly matching on where it can do the most good (large, high-impact loads) without discouraging widespread voluntary action or long-term contracting.

160. If you provided a different threshold amount in (a), how does your proposed threshold better fit the intent of the exemption (reducing reporting burden while maintaining MBM integrity and impact)? How would this exemption threshold impact the administrative and cost burden of the proposed MBM requirements compared to an exemption threshold of 5, 10, or 50 GWh per deliverable market boundary? (< 300 words)

The intent of an exemption should be to balance reporting feasibility with market impact by targeting only those organizations whose electricity use is large enough to materially affect grid operations, investment signals, or local energy prices. In other words, the threshold should capture the largest electricity consumers capable of adding significant new load, not the majority of ordinary corporate facilities.

A threshold of 100 GWh/year per broader deliverable boundary (or 50 GWh/year for narrower boundaries) achieves this balance.

In contrast, 5-10 GWh/year corresponds to an average load of just 0.6-1.1 MW, which many single hospitals, university campuses, and medium manufacturing sites already exceed.

Because exemptions apply per region, that low threshold would sweep in far more entities than CDP’s global figures suggest.

CDP’s data (which we’ve heard quoted to support 5-10 GWh thresholds) only includes voluntary reporters, lacks per-region granularity, and understates the number of firms exceeding 5-10 GWh within a given grid boundary.

A higher threshold would concentrate mandatory hourly + location matching on organizations that can meaningfully affect grid outcomes—data centers, large industrials, and clean-hydrogen producers—while allowing others to continue using certificate-based annual accounting and long-term forward contracts.

This preserves feasibility, maintains voluntary participation, and keeps the Market-Based Method focused on impactful procurement and verifiable accounting, not over-engineered usage precision for all.

161. Exemption options 2, 3, and 4 introduce a criterion based on a reporter meeting the small and medium company categorization. This categorization framework is being developed by the Corporate Standard Technical Working Group. What specific criteria should be considered to define Small and Medium Companies? 

Select all that apply:

Number of employees

Net annual turnover

Balance sheet

Emissions (scope 1 + LBM scope 2)

Company location (high and upper-middle income countries and low- and lower-middle income countries)

Other (please explain)

162. Please provide any additional comments regarding the criteria to define Small and Medium Companies.

Criteria to define Small and Medium Companies must be robust and verifiable (likely hard-numerical and publicly available) to avoid vague definitions or gaming of exemptions. 

Criteria must also be sufficiently indicative of company size and impact, and thus financial or emissions-based definitions could be good criteria. 

Criteria should not be simply based on where an organization is based. Countries that may be considered low- and lower-middle income do not always effectively align with the regional maturity of the clean energy market or the sophistication and resources of the organization located there.

163. Which of the four draft eligibility options for an exemption to hourly matching reflect the most reasonable balance of integrity, impact and feasibility of the MBM? Apply the exemption threshold selected in question 159.

Select only one:

Option 1 - Companies with annual consumption up to [X] GWh/year in a deliverable market boundary may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary in accordance with the contractual instruments temporal data hierarchy.

Option 2 - Companies that meet the small and medium company categorization may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary in accordance with the contractual instruments temporal data hierarchy.

Option 3 - Companies with annual consumption up to [X] GWh/year in a deliverable market boundary OR meet the small and medium company categorization may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary in accordance with the contractual instruments temporal data hierarchy.

Option 4 - Companies with annual consumption up to [X] GWh/year in a deliverable boundary AND meet the small and medium company categorization may use a monthly or annual accounting interval for Criteria 4 for all operations within that market boundary in accordance with the contractual instruments temporal data hierarchy.

None of the above (please explain)

164. If you selected "None of the above" in question 163, please describe your preferred eligibility conditions to apply an exemption to hourly matching and outline how this reflects a reasonable balance of integrity, impact and feasibility of the MBM.

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165. Please provide additional comments regarding your answer to question 164, including the main reasons why it is the most appropriate and any geographic or industry specific considerations that influenced your response. (< 300 words)

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166. Should exemptions be time-limited (i.e. phased-out over time) or ongoing? 

Select only one:

Time-limited (i.e. phased out over time)

Ongoing

Unsure

Do not support exemptions

167. If you selected that exemptions should be time-limited in question 166, please explain how this phase-out should be implemented and why this suggestion fits the intent of the exemption (i.e., reducing reporting burden while maintaining integrity and impact of the MBM). 

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168. Aside from any suggestions provided in question 167, please describe any safeguards needed to ensure exemptions are not misused and that comparability across reporting organisations is maintained?   

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169. In exercising the exemption, should the organization be considered in conformance with the Corporate Standard and Scope 2 Standard? 

Select only one:

Yes, organizations using the hourly matching exemption should be considered in conformance

No, organizations using the hourly matching exemption should NOT be considered in conformance

A separate conformance level should be defined for companies exercising the exemption

Unsure

Other (please explain)

170. Please provide any additional comments regarding your response to question 169.

We could see a separate conformance level working if one is also provided for companies that seek conformance via consequential methods and separate impact reporting. If conformance is only possible through granular matching, exemptions should not be used to penalize smaller organizations that are still doing what they can to decarbonize their operations under the final guidelines.

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Section 7: Legacy clause considerations

171. On a scale of 1-5 do you support introduction of a Legacy Clause to exempt existing long-term contracts that comply with the current Scope 2 Quality Criteria from being required to meet updated Quality Criterion 4 (hourly matching) and Quality Criterion 5 (deliverability)?    

Select only one:

1 - No Support

2 - Little Support

3 - Neutral

4 - General Support

5 - Full Support

172. Please provide your reasons for support, if any.

Select all that apply:

Reflects a reasonable balance of integrity, impact and feasibility as existing long-term contracts reflect significant financial and operational commitments to energy resources

Encourages organizations with legacy contracts to continue to engage in voluntary procurement using an annual procurement approach

Provides a more equitable approach by ensuring that early adopters of Scope 2 Guidance are not disadvantaged

Helps maintain trust and market confidence in long-term contracts

Provides a pragmatic pathway for organizations to transition to updated Quality Criteria

Other (please provide)

173. Please provide any additional comments regarding your reasons for support. 

Contracts signed prior to implementation of new Scope 2 Standards (post phase-in period) should be honored for the duration of the contract as addressing a company’s Scope 2 inventory under the current rules.

The GHG Protocol Scope 2 Guidance specifically recommended entry into long-term contracts as a means by which companies could drive long-term electricity supply changes.  We agreed and continue to agree with this recommendation. The legacy clause is a necessary provision for honoring existing commitments that were made under that recommendation by companies desiring to go above and beyond the minimum standards for Scope 2 accounting.

Furthermore, from the companies large and small that we’ve spoken to about these contracts, buyers are primarily motivated to enter into them in order to meet sustainability goals i. To invalidate those contracts as addressing a company’s sustainability goals would therefore make these contracts almost worthless to buyers. This could potentially cause great economic harm for these companies, and could arguably lead to attempts to terminate these contracts using broadly drafted change-in-law, force majeure, or other similar provisions, or at least force their renegotiation. Such attempts, if successful, could result not only in the cancellation of new clean energy deployment, but also loss of viability and scuttling of already operating projects.

174. Please provide your concerns or reasons for why you are not supporting, if any.  

Select all that apply:

Reduces accuracy and relevance of MBM reporting

Introduces inconsistencies across companies, reducing transparency and comparability for users

Not aligned with MBM’s purpose, weakens credible market signals and abatement planning, and may conflict with regulatory expectations

Creates reputational risk and increases skepticism about MBM claims

Fragments the voluntary market and may slow the transition to wider availability/use of hourly data

Other (please provide)

175. Please provide any additional comments regarding your concerns or reasons for why you are not supporting.

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176. Which date should determine a contract’s eligibility under a Legacy Clause?

Select only one:

Contract signed prior to implementation date of the Scope 2 Standard (post phase-in period)

​Contract signed prior to publication date of the Scope 2 Standard

Other (please explain)

Do not support Legacy Clause

177. Please provide any additional comments regarding your response to question 176.

Contracts can take as long as 12-24 months to execute with projects coming online 12-36 months after execution.

As a result, without this transition rule, we would expect companies to pull back from long-term contracts as the publication of new guidance approaches if there is no transition period, or as the deadline for the transition period approaches, as there is risk that, while started before the deadline, such contracts would potentially need to be re-engineered to comply with the new guidance, which could itself be a lengthy process.

As a result, a substantial transition period after publication of the Scope 2 standard is needed to avoid significant disruption to clean energy offtake contracting. Any such disruption would especially damaging to the renewable energy industry at this time given that many developers are either attempting to start construction before the “begun construction” safe harbor federal investment and production tax credits expires on July 4 of next year, or complete construction before the placed-in-service deadline for non-safe harbored projects arrives at the end of 2027. Given this time pressure, disruption of contracting would likely lead to significant cancellations and reductions in new deployment.

178. If a Legacy Clause is included, please provide comments on the following design elements to balance integrity, impact, and feasibility of the MBM. Respond only to items relevant to your context. 

a. Eligibility by instrument type and term: Define which instruments qualify (e.g., PPAs, utility green tariffs, supplier-specific contracts, unbundled certificates) and any minimum original term, including treatment or eligibility of perpetual or undefined-term contracts.

b. Duration of legacy treatment: Specify the time limit or maximum remaining term after which updated Scope 2 Quality Criteria apply to all contracts.

c. Allocation rules to prevent legacy contractual instruments being used to target the most challenging hours or locations. Transfers and resale requirements when legacy instruments are sold or transferred to third parties.

d. Extensions and amendments: Define how contract extensions or material amendments after the cutoff affect eligibility (e.g., whether the extended or modified portion is treated as a new contract subject to updated Scope 2 Quality Criteria).

e. Disclosures: Scope and granularity of disclosures for any use of a Legacy Clause (for example separate presentation of MBM results with and without legacy-treated instruments, percentage of contracts covered, share of load covered, expected end date of legacy status).

f. Pre-effective-date guardrails: Approaches to discourage contracting intended solely to expand legacy eligibility before the cutoff (for example, disclosure of execution date and negotiation timeline).

g. Global equity: Approaches to address regional concentration of eligible contracts and related equity considerations.

A credible Legacy Clause should reward past actions that demonstrably financed new clean energy, not impose artificial time limits or administrative barriers. Integrity comes from evidence of impact, not from erasing legitimate contracts. Feasibility comes from letting buyers and developers rely on the terms under which they made those investments.

a) Eligibility by contract type and term: Eligibility should include long-term forward contracts (PPAs, VPPAs, or forward REC contracts with a term of more than five years) entered into before the project is fully depreciated. Contracts tied to existing, fully depreciated projects or short-term, unbundled REC purchases should not qualify. If GHGP wants greater assurance that these contracts were material to project financing, Ever.green has developed and written about several scalable approaches.[1][2]

b) Duration of legacy treatment: Legacy treatment should extend for the full duration of the original contract term. Cutting eligibility to 10 years arbitrarily devalues legitimate 15-25 year PPAs that were explicitly designed to guarantee long-term revenue stability. Ending legacy treatment early would rewrite the conditions under which those deals were signed, harming market confidence and project finance.

c) Allocation rules: This problem largely arises from the introduction of hourly and locational matching. However, if allocation rules are required, buyers should only be permitted to apply legacy contracts to the hours and locations in which generation actually occurred. No further restriction is necessary—these contracts were designed and financed around annual accounting, not artificial hourly precision.

d) Transfers and resale: Legacy instruments should remain transferable. Allowing resale enables market liquidity and the development of secondary forward markets, which can broaden access to impactful procurement and support developers over time. Transfers may also be important to permit merger and acquisition activity and corporate restructurings amongst buyers and sellers, as well as fractionalization of offtake amongst smaller corporate buyers. The integrity of such transfers can be maintained through preservation of original contract terms and materiality. Moreover, there already exist well-established rules and procedures (such as Green-e certification) to guard against double-counting, if that is a concern.

e) Extensions and amendments: Extensions are often anticipated in project finance and can sustain clean generation that might otherwise retire. Extensions should be permitted for up to 5 years while still retaining  additional legacy treatment, so long as the terms of such extension do not materially and adversely modify the contract’s benefits to the clean energy project (i.e. by either reducing the price or volume of energy attributes purchased).

f) Disclosures: We strongly support disclosure of all long-term forward contracts. Transparent reporting of contract term, execution date, project type, and materiality to financing would enhance both data integrity and the evidence base for future Scope 2 refinement. Public data on project-level procurement would also support better understanding of how buyer behavior influences system-wide decarbonization.

g) Pre-effective-date guardrails: We do not believe additional guardrails are necessary. A short-term increase in contracting ahead of the cutoff would be a feature, not a flaw as it would stimulate long-term project financing before the transition. That is exactly the type of market activity the GHG Protocol should encourage.

h) Global equity: It will be easy to naturally favor regions with active long-term contracting. That reflects market maturity, not inequity. Instead of penalizing early actors, we should expand similar frameworks elsewhere through better credit mechanisms, standardized forward-contracting tools, and blended-finance support.

[1] ever.green/papers/scope2
[2] ever.green/papers/additionality

179-180. Questions 179-180 seek input on potential challenges for users of climate-related financial risk disclosure programs arising from a legacy clause. Please only respond to this section if these issues are relevant to your organization or you have direct expertise or experience with climate-related financial risk disclosure programs.

179. Does a legacy clause pose material implications for users of climate-related financial risk disclosure programs? 

Select only one:

1 - No implications

2 - Minimal implications

3 - moderate implications

4 - many implications

5 - Significant implications

180. Please briefly explain your rating: identify what the potential impacts could be and the main factors driving the impact (for example, comparability, transparency etc.). 

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181-183. Some stakeholders have outlined a preference for transition tools other than a legacy clause as a way to balance continuity and comparability for the scope 2 MBM.

181. Which transition approach best balances continuity and comparability for the Scope 2 MBM whilst maintaining integrity, impact, and feasibility?

Select only one:

Legacy clause: allow existing contracts that meet current quality criteria to continue to be reported under the MBM as described in Question 178.

Uniform effective date: rather than using a legacy clause, instead apply the updated quality criteria to all contractual instruments from a specific date following a defined lead time. Include a separate disclosure that disaggregates results affected by contracts signed prior to this date.

Other (please specify)

182. If you selected “Other” in question 181 please provide details of an alternative transition approach that better balances continuity and comparability for the scope 2 MBM whilst maintaining integrity impact and feasibility.

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183. If a uniform effective date was applied rather than a legacy clause, what would be an appropriate date for organizations to be required to apply the updated quality criteria to all contractual instruments?

[ Enter in 20XX format ]

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