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Comment 12 for CPUC/CEC/ARB/CalISO Renewables Symposium (renewablesympsium-ws) - 1st Workshop.
First Name: V. John
Last Name: White
Email Address: tehya@ceert.org
Affiliation: CEERT
Subject: COMMENTS OF THE CENTER FOR ENERGY EFFICIENCY AND RENEWABLE TECHNOLGIES
Comment:
COMMENTS OF THE CENTER FOR ENERGY EFFICIENCY AND RENEWABLE TECHNOLGIES August 7, 2015 I. INTRODUCTION The Energy + Environmental Economics Pathways modeling done as the analytical framework for California’s greenhouse gas reduction planning is a cautionary tale for policy to achieve the State’s long term emission reduction goals. The principal findings of that modeling can be summarized as follows: - A policy of a 50% RPS coupled with aggressive electrification of both transportation and building sectors achieves a 26-38% GHG reduction below 1990 levels by 2030. - Essentially complete decarbonization of electricity production is required to achieve the 2050 GHG goal of 80% below 1990 levels. - Electric load kicks up sharply after 2030 due to electrification of transportation and space conditioning. Essentially all of this incremental load must be carbon free to hit 2050 greenhouse gas goals. Clearly, as articulated by the exchange between E3’s Dr. Ryan and CPUC President Picker at the Symposium: “Given the long term climate goals, 50% renewables by 2030 must be considered a floor and not a ceiling.” Indeed, the key takeaway from the Pathways study is that we should prepare for success of a 50% by 2030 target; and that, just as 20% by 2020 quickly became 33% by 2020, 50% by 2030 could and should become 66% by 2030. As we begin to put the challenges and successes of generating one-third of our electrical energy from renewable resources in the rear view mirror, California must now focus on the challenges and projected costs of moving from one-third to two-thirds of its electricity being renewable. The principal issue identified is “over-generation” resulting in curtailment and high costs. Among the analytic studies that can inform how best to address these issues, and build upon and inform E3’s Pathways modeling is the 2030 Low Carbon Grid Study. The study’s preliminary results, and CEERT’s conclusions and policy recommendations, are summarized in the following section. II. LOW CARBON GRID STUDY (LCGS) A. LCGS Overview and CEERT Recommendations The Low Carbon Grid Study (LCGS) was commissioned by thirty-seven energy development companies (mostly but not exclusively renewable), two foundations and the Energy Information Agency to study precisely these questions. Phase I results are posted on the study webpage www.LowCarbonGrid2030.org . Phase II results are undergoing peer review and will be posted shortly. The study looks at a range of scenarios for the electric sector in 2030. In summary, the principal lessons learned from the Low Carbon Grid Study which are relevant to setting a 2030 GHG/RPS target for the electric sector are: - Explicitly consider long term GHG emissions in planning, procurement and operations, across all State agencies, and the California Independent System Operator. Simply specifying an RPS mandate and relying on spot cap and trade allowance prices is not sufficient to reach either the long-term targets or a least cost position. - California’s renewable portfolio must be diverse. There is a place for all commercially proven types of renewable resources in procurement going forward, both in California and from out of state, whether baseload or variable, in a “least cost/best fit” procurement. - Details matter. There are a number of seemingly minor and obscure planning criteria, procurement practices, grid operation business practices, and tariff provisions that collectively make a great difference. Literally hundreds of millions of dollars per year, and millions of tons of carbon emissions are at stake. Resolving these issues, not simply raising the RPS percentage, will determine our progress and ability to meet our goals. - The goal should not be to eliminate “over-generation” or “curtailment,” but to manage them economically. - Renewable resource penetrations roughly double today’s contribution can be achieved without compromising reliability in any way, but these results will not be automatic and require conscious, sustained, advance planning. Finally, the LCGS includes a comprehensive analysis of the rate impacts of actions to achieve a 50% GHG reduction in the electric sector by 2030 on a “Pathway” to achieve the 2050 long term climate policy goal of 80% reduction in GHG emissions below 1990 levels. Detailed results are currently in peer review, but the rate impact is plus/minus a few percent depending principally on future natural gas prices, cap and trade allowance prices, interest rates, and success of efforts to reduce costs and improve performance of renewable resources all of which are already commercially proven and operating on California’s grid. No new technology needs to be invented. B. Analysis and Findings The following Figure 1 shows the range of carbon emissions for four scenarios ranging from 33% renewables (Baseline Case) to 66% renewables (Accelerated Case). The two intermediate cases, as discussed in more detail below, employ 55% renewables and bookend the range of results at that penetration level. Note that in the Baseline Case electric sector emissions do continue to decline. In addition to holding procurement at 33% renewables, the final phase-out of imported coal, the continued explosive growth of behind the meter rooftop solar, the continuation of aggressive energy efficiency programs, and modernization of the gas fleet as a result of the long overdue retirement of the Korean War era coastal steam plants all work to continue to drive down carbon emissions. However, it is simply not enough to achieve the State’s policy goals. In the context of the Pathways work, these results simply amplify the necessity of achieving an aggressive 2030 carbon target for the electric sector through further renewable energy procurement to have any realistic hope of hitting the long term climate goals. On the other hand, doubling the renewable content of the grid to 66% not only results in over 50MMT of emission reductions vs. the Baseline Case but significantly lowers the carbon intensity of electricity production. This allows significantly faster reduction of carbon emissions due to the electrification of the other sectors, putting the State on a trajectory to achieve the critical long term target. This matches the “Early Deployment” scenario in the Pathways study. The two 55% Cases are of most interest for setting 2030 targets. For the study, 55% was chosen rather than 50% for renewable penetration to reflect the assumption that the license for Diablo Canyon nuclear plant would not be extended due to excessive costs vs. other zero carbon energy options. In the discussion about grid operations at this level of renewable penetration, the issue that is paramount in people’s minds for assessing cost and operability is “over-generation.” This results in “curtailment” of renewable energy during low load hours when gas is no longer “on the margin” and available to be “dispatched down.” It must be noted that these terms have taken on the aura of doom in the public discussion, but are really nothing new or frightening. “Over-generation” is simply another word for potential exports – the coal exporting States of Wyoming and Montana are in “over-generation” 8760 hours per year without any reliability or cost problems. “Curtailment” is simply another word for “dispatch” – operation of a plant that has been “committed” (synchronized to the grid and supplying energy to serve load) at less than its maximum output to balance supply and demand. Given the inherent seasonal and diurnal variation in electric loads, “curtailment” has always been present as committed units are “dispatched” in real time. The only reason we make the distinction between curtailment and dispatch is that renewables (at least most of them, including wind and solar) are perfectly “dispatchable” but this inherent capability has not been historically used, and the cost of dispatching renewables is significantly higher than the cost of dispatching fossil plants since there are no savings in fuel costs when dispatching renewables. The following Figure 2 is a curtailment duration curve for two of the several “55% scenarios” in the Low Carbon Grid Study that demonstrate the range of outcomes at this penetration level, dependent both on portfolio diversity and grid operational policies. The “High Solar BAU” Case (a) assumes current trends will continue to overwhelmingly procure PV rather than a “balanced portfolio,” (b) enforces the current statutory “Bucket Rule” for RPS eligibility, (c) obtains the supply of Essential Reliability Services (aka “ancillary services” or “ERS”) principally from natural gas, and (d) enforces the “25% Regional Generation Rule” as currently proposed by the CAISO. It is also worthy of note that the “BAU” designation does not mean that this case is frozen at today’s practices – only that no new initiatives are undertaken. The “GHG Target Case” is one that (a) assumes the same quantity of renewable procurement to serve the same load, but (b) procures a “balanced portfolio” including more out-of-state wind as well as in-state baseload geothermal and biomass plus some new concentrating solar power with storage (“CSP”) rather than simply all PV, (c) enforces the Bucket Rule (10% maximum unbundled RECs) on a portfolio basis rather than a project by project basis, (d) maximizes the supply and use of ERS from non-combustion sources rather than natural gas, (e) deals with the very real reliability constraints that underlie the 25% Rule using mainly zero carbon resources rather than natural gas, and (f) assumes that roughly double the AB 2514- CPUC mandated storage requirement is procured by 2030. As shown in Figure 2, it is important to note the dramatic difference in “curtailment” (10.6% vs. 0.2%) and cost (~$500M/yr) between the two cases with exactly the same quantity of renewable energy. This demonstrates the importance of focusing not just on a specific RPS percentage, but also on adapting the rest of the system to maximize the efficiency of fossil fuel use and ease integration of the new renewables. Implementation of policies that incorporate balanced renewable integration, reliance on zero carbon reliability services, and regional integration are key to economically meeting the statewide GHG reduction targets. Implementation of the 66% “Accelerated Case” was not considered in detail in the study, but yields roughly similar results to the 55% cases IF there is new storage procurement of four times the CPUC mandate rather than twice the amount as in the Target Case. III. CONCLUSION CEERT believes the Pathways modeling summarized at the Symposium demonstrates the absolute necessity, and feasibility, of complete de-carbonization of electricity production in order to achieve California’s long-term climate goals. E3’s work, along with independent analyses such as the Low Carbon Grid Study and other important modeling work by the Union of Concerned Scientists, strongly suggests California follow the “Early Adoption” path with aggressive 2030 interim targets. Success in achieving these interim targets reliably and cost effectively will require a concerted and coordinated effort by all State agencies and CAISO, focused on the sustained pursuit of every avenue available to adapt historic practices in planning and grid operations towards this goal, with the full engagement and creativity of the private sector, to improve performance and drive down costs. Little new technology needs to be invented. Success can be achieved by doing the best we can with what we already have. Reliability of the electric supply is paramount and cannot be compromised, but the details of how that reliability is ensured must be part and parcel of the work ahead. The process will be one of adaptive management that learns by doing while focusing on the twin metrics of cost and GHG reductions.
Attachment: www.arb.ca.gov/lists/com-attach/12-renewablesympsium-ws-VzYGdAdyWGoHYglh.zip
Original File Name: Attachments for CEERT comments.zip
Date and Time Comment Was Submitted: 2015-08-07 14:14:16
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