1.
Please provide a summary of your organization’s feedback on the October 19 and October 30 working groups, and discussion paper posted on October 16, 2023:
We provide responses to CAISO’s “question to consider” for problem statements #5, 7, 8, 9, and 15 in the discussion paper. We also provide suggestions for combining and prioritizing problem statements.
2.
Provide your organization’s feedback on the Stakeholder Proposed Problem Statements section of the discussion paper and as discussed in the working group meetings. Please also include any outstanding problem statements that are not captured by those proposed in the discussion paper:
It may be possible to combine:
- Problem Statements #5, 12, & 13
- Problem Statements #7, 14 & 15
- Problem Statements #8, 9, & 11
From our perspective, the most important problem statements are (in numerical order): #5, 6, 7, and 8. See question no. 3 below for a categorization and prioritization of these and the other problem statements.
Problem Statement #5
What analysis is needed to support this problem statement?
- Analysis of the extent of current double counting of attributed generation, by simply quantifying attributed generation and comparing this to voluntary and compliance program data. This data may be found in WREGIS, state RPS data, state power source/fuel mix disclosure LSE data, Green-e® program voluntary market data.
- We are not recommending that CAISO conduct analysis to determine whether attribution results in double counting. The relevant state compliance or voluntary program will determine that. Neither are we recommending that CAISO evaluate the potential for future perceived double counting since that would involve evaluating future state policy, accounting, and tracking scenarios. That analysis would be of interest, however.
What metrics at the ISO are of concern?
- Attributed hourly generation data by GHG compliance zone or state
- Total attributed generation: All generation attributed in the timeframe (e.g. month)
- Attributed non-WREGIS generation: Total attributed generation minus attributed WREGIS generation
- Attributed WREGIS generation: Generation attributed in the timeframe that is tracked in WREGIS. We have asked the ISO to provide the quantity of electricity in a given period (e.g. month) from each generating unit registered in WREGIS that was bid into the market and attributed to certain GHG compliance zones on a resource-specific basis as a result of the GHG optimization method (e.g. a “deemed” import to the California GHG compliance area). We’ve provided detailed comments (on Sept 26, 2022 on the Revised EDAM proposal) explaining the rationale. We’ve also explained the frequency (monthly) and granularity (hourly). WREGIS can “tag” or designate an equivalent quantity of WREGIS Certificates associated with load in that zone. This communication of quantity to WREGIS and WREGIS designation of an equivalent quantity will work with the timing differential between attribution in short-term markets and monthly issuance of WREGIS Certificates, as well as the hourly (vs. monthly) megawatt-hour (MWh) format of the data. Market attribution data would be aggregated by generator and by month on monthly issued certificates. See https://stakeholdercenter.caiso.com/Common/DownloadFile/b4f1bd16-b72b-4b42-8c32-2fc40ecbc7ef.
- Unallocated hourly generation data for the whole market (and/or narrower geographies)
- Total unallocated generation: Generation not attributed or transacted on a resource-specific basis in the market in the timeframe (e.g. monthly)
- Unallocated non-WREGIS generation: Total residual generation minus generation that is tracked in WREGIS. Stakeholders could use this to characterize market purchases for retail claims or in load-based programs
What metrics at the retail level are of concern?
- Monthly RECs in WREGIS and other contractual instruments used to demonstrate retail delivery of specified power (e.g. renewable energy) for compliance or voluntary sales.
- Potential future hourly accounts, e.g. those reported under CA SB 1158.
What states/other reporting requirements does this pertain to?
- Market attribution to CA and WA.
- Retail programs in CA, WA, OR, NV, UT, AZ, CO, and NM.
- Voluntary RE programs/sales in all Western states.
Are there examples that the working group can provide either as a case study or a comprehensive list?
- Every case where the generation is deemed delivered to CA or WA load and the REC is retired for load in a different state for a retail emissions claim/report (compliance or voluntary).
- Hypothetical example: Generation and associated emissions from a wind generator located in WY participating in EDAM are attributed and deemed to serve load in the CA GHG compliance area in EDAM, while the RECs associated with this generation are sold and transferred in WREGIS to an LSE in CO and retired for compliance with CO’s RPS program. In this case, the same generation and associated emissions are reported as serving load in two different states.
- More data, from WREGIS, states, and the ISO would be needed to identify examples of actual double counting. See below.
What is the role of CAISO?
- CAISO should coordinate with other systems for attribution (e.g. WREGIS) to prevent double counting regionally. CAISO should not adopt a resource-specific attribution mechanism in market design that gives preference to a specific state or market participant, or that only accommodates a single type of state program such that it may harm other existing state and voluntary programs or create inconsistency that can damage the market or these programs.
Problem statement #7
What proposals are there to reflect a program without a cost of carbon?
- There are entities from multiple states that value low- or nonemitting power that participate in ISO markets. If the market is going to allocate this specified power (and differentiated emissions) efficiently to these entities in these states, it is with a price on carbon in the market. And the resulting allocation of emissions/generation should be coordinated to match existing out-of-market allocation systems, e.g. RECs, for generation tracked in those systems, to avoid double counting.
- The alternative is not to allocate in the market and exclusively use an out-of-market allocation mechanism, e.g. RECs/EACs. But that is not sufficient for many state programs (e.g. that require bundling).
What is the role of the CAISO?
- Once it chooses to allocate emissions, CAISO’s role is to do it in a transparent and efficient way, without giving preference to a certain market participant, state, or type of policy.
- If it cannot enable emissions allocations to entities in all states in the market, at the very least its role is to be transparent and to coordinate with other systems to prevent double counting at a regional level. It can provide better data and work to facilitate a regionally consistent residual mix, for example.
What is the role of states?
- States decide what constitutes the procurement and/or delivery of clean power (or power with specified emissions) in a market under their programs, e.g. market power + RECs.
Problem statement #8
What data is required or desired by participants?
Are there examples of attribution in wholesale markets affecting retail GHG claims, load-based state programs, or systems for allocating generation and associated emissions to retail load?
- If “attribution in wholesale markets” refers generally to procuring power wholesale, then examples of effects on retail claims and systems for allocating generation to load include:
- NEPOOL import rules. If you want a retail claim for imported power in NEPOOL, you need a REC and NEPOOL requires a bundled import.
- Residual mix emissions factor calculations for NEPOOL, PJM, and NYISO
- The U.S. FTC said Green Mountain Power could not claim retail delivery without the RECs. This generally shows the interaction between a wholesale market activity and retail claims. Letter from James A. Kohm, Assoc. Dir., Div. of Enf’t, Bureau of Consumer Prot. to R. Jeffrey Behm, Esq., Sheehey, Furlong & Behm, P.C. (FTC Feb. 5, 2015), https://www.ftc.gov/system/files/documents/public_statements/624571/150205gmpletter.pdf.
- Examples of effects on load-based state programs include all load-based state programs that have limits regarding the procurement of power, including limits on unbundled attribution in CA and other states.
- If, on the other hand, “attribution in wholesale markets” in this question refers specifically to the current resource-specific market mechanism for attribution in ISO markets, then examples of effects on state programs, retail claims, and REC systems include:
- WA’s determination about CA imports under CETA. In WA, all stakeholders agreed and regulators later approved rules that RECs associated with energy imported into California with specified emissions (and counted under cap-and-trade) without RECs are not be eligible to be counted toward CETA, a load-based emissions standard for WA LSEs. See WAC 194-40-420 (2)(b), (4), and (5): https://app.leg.wa.gov/WAC/default.aspx?cite=194-40-420.
- Oregon DOE 2017 stakeholder meetings on RECs and EIM imports: https://www.oregon.gov/energy/energy-oregon/Pages/RECs-EIM-Stakeholder-Meetings.aspx.
- CA’s IEMAC 2019 Annual Report (pg. 15-17). Cites “mounting concerns about how low- or zero-carbon renewable energy imports are tracked and managed in California’s cap-and-trade program.” States “If a neighboring state associates a REC with a low- or zero-carbon resource when California also counts the low- or zero-carbon resource with the associated energy delivery, there is the potential to “count” (albeit using different metrics) the same low- or zero-emissions attribute twice.” Recommends “that CARB share available data on the RECs that were retired or “bundled” with California imports” https://calepa.ca.gov/wp-content/uploads/sites/6/2020/01/Final_2019_IEMAC_Annual_Report_2019_12_06.a.pdf.
- Market attribution data is needed to calculate an accurate market unallocated mix and regional residual mix to compare to state default emissions factors and state LSE power content labels for customers, revealing the degree of error in these programs as a result of market attribution.
Problem statement #9
Which GHG reduction mandates does this pertain to?
- WA CETA, OR HB 2021, CA SB 100
What information would a state without a price on carbon request from the market?
Problem statement #15
In order to avoid favoring a certain state or type of GHG program (e.g. GHG pricing) in the market, either:
- The market should allocate low- or nonemitting power (and emissions) efficiently to entities in all states with a pricing mechanism for emissions in the market, and the resulting allocation of emissions/generation should be coordinated to match existing out-of-market allocation systems, e.g. RECs, for generation tracked in those systems. That would need to be developed, either as a single mechanism providing bidding and allocation based on emissions that would satisfy entities in both GHG-pricing and non-pricing states, or as a separate mechanism for non-pricing states (though that would be less ideal); OR
- There should be no allocation in the market and states and entities should exclusively use an out-of-market allocation, e.g. RECs/EACs. But this would require changes to and alignment of state GHG policy (e.g. to remove bundling requirements or define bundled delivery as energy injected into the market footprint + RECs/EACs), without which, this option would not support market participation.
If it cannot enable emissions allocations to entities in all states in the market (and will therefore favor certain state programs over others in terms of allocation and attribution), at the very least CAISO can be transparent and coordinate with other systems (e.g. WREGIS) to prevent double counting at a regional level. CAISO can help enable all-generation regional tracking, e.g. in WREGIS, to ensure that market allocation (though incomplete) is consistent with all state accounting policies so that there is exclusive resource-specific allocation/attribution regionally, e.g. by effectively combining accounting systems and frameworks (e.g. RECs and GHG attribution in the market).
See comments on problem statements 5 and 8 above, and our previous 9/27 comments on metrics (https://stakeholdercenter.caiso.com/Comments/AllComments/01bb00d7-a42c-40b4-82d8-2398e5ffae0e#org-faa6b199-6bcc-4d27-890d-1ab0275467550)