Stranded Nuclear Waste

Implications of Electric Industry Deregulation
for Nuclear Plant Retirements and
Funding Decommissioning and Spent Fuel

 

By

Bruce Biewald and David White
Synapse Energy Economics, Inc.

January 15, 1999

_____________________________________________________________

Synapse Energy Economics, Inc., 22 Crescent Street, Cambridge, MA 02138

617-661-3248; fax 617-661-0599; www.synapse-energy.com

Table of Contents

 

Table of Contents *

Appendices *

List of Tables *

Acknowledgements *

1. Introduction and Summary *

1.1. Introduction *

1.2. Nuclear Scenarios *

1.3. Decommissioning Funding Shortfalls *

1.4. Spent Fuel Funding Shortfalls *

2. Nuclear Generation Projections *

2.1. Recent Nuclear Generator Retirements *

2.2. Deregulation and Projections of Nuclear Generator Retirements *

2.3. Method and Assumptions for Nuclear Plant Retirement Analysis *

2.4. Results of Nuclear Plant Retirement Analysis *

3. Decommissioning Funding *

3.1. Background on Nuclear Plant Decommissioning *

3.2. Current Decommissioning Funding Status *

3.3. Estimated Decommissioning Funding Shortfalls *

4. Spent Nuclear Fuel Transportation and Long-Term Storage Costs *

4.1. High Level Radioactive Waste Policy in the US *

4.2. Nuclear Waste Funding Scenarios and Shortfalls *

4.3. Feedback Effect of Fee Increases Upon Nuclear Retirements *

5. Conclusion *

5.1. Limitations of the Analysis and Areas for Further Research *

5.2. Conclusions and Policy Implications *

6. References *

Appendices

Appendix A: Nuclear Units At Risk

Appendix B: Nuclear Plant Decommissioning Funding for Investor Owned Utilities

Appendix C: High Level Waste Program Funding Calculations

 

List of Tables

Table 2.1 Retired Nuclear Generating Units With Capacity 40 MW and Larger *

Table 2.2 Key Input Assumptions to Nuclear Retirement Analysis *

Table 2.3 Summary of Nuclear Retirements in the Reference, Low and High Cases *

Table 3.1 Nuclear Plant Decommissioning Funding Summary

Projections: *

Table 4.1 Funding Scenarios for High Level Nuclear Waste Disposal Program *

Appendix A

Table A.1 Nuclear Units Identified at Risk in the Reference Case A-*

Table A.2 Nuclear Units Identified at Risk in the Low Case A-*

Table A.3 Nuclear Units Identified at Risk in the High Case A-*

Appendix B

Table B.1 Decommissioning Funding Status by Company B-*

Table B.2 Decommissioning Funding Status By Generating Unit B-*

Appendix C

Table C.1

Nuclear Waste Program Funding Scenario 1

DOE 1996 Fee Adequacy Assessment With Real Interest at 2% C-*

Table C.2

Nuclear Waste Program Funding Scenario 2

DOE With Synapse Reference Nuclear Projection C-*

Table C.3

Nuclear Waste Program Funding Scenario 3

DOE With Synapse Low Nuclear Projection C-*

Table C.4

Nuclear Waste Program Funding Scenario 4

Independent Cost Assessment C-*

Table C.5

Nuclear Waste Program Funding Scenario 5

Independent Cost Assessment With Synapse Reference Nuclear Projection C-*

Table C.6

Nuclear Waste Program Funding Scenario 6

Independent Cost Assessment With Synapse Low Nuclear Projection C-*

 

 

 

Acknowledgements

The authors acknowledge the financial support of Citizens Action Coalition Education Fund, Inc. and Mullett & Associates for the research underlying this report. However, the authors are solely responsible for the reported results and conclusions.

  1. Introduction and Summary
    1. Introduction
    2. This paper summarizes the results of an integrated three-part project dealing with: (1) the prospects for early nuclear power plant closure, (2) the potential unfunded liability for decommissioning, and (3) the potential unfunded liability for spent nuclear fuel transportation and storage. This is all considered in the context of electric industry dergulation.

      When utilities and regulators determine funding amounts for decommissioning it is typically assumed without question that the nuclear generator will continue to produce electricity until the end of its 40-year operating license. Similarly, for determining funding adequacy for the high-level waste disposal program, the Department of Energy typically assumes that all reactors will run to (or nearly to) the end of their operating licenses. This faith in the longevity of existing nuclear power plants is unfounded, inconsistent with nuclear experience to date, and can lead to imprudent and inefficient decision-making.

       

    3. Nuclear Scenarios
    4. Based upon our comparison of nuclear unit operating costs with projected market prices for electricity, we have developed three projections of nuclear unit retirements. The High, Reference, and Low Nuclear Generation cases have 20, 34, and 90 nuclear units retiring prior to the end of their operating licenses. In each case, the average shutdown for the units closed "prematurely" is about 15 years prior to the end of the license.

       

    5. Decommissioning Funding Shortfalls
    6. We estimate that for the fleet of currently operating nuclear power plants, the investor-owned utilities’ portion of the unfunded liability for decommissioning is about $24 billion, at year end 1997 in 1997 dollars. If all of the units operate to the end of their licenses and the decommissioning cost estimates turn out to be correct, then the full amount needed for decommissioning could be collected during the units’ operating period. However, with early retirements, we estimate the unfunded decommissioning liability at the time of closure, summed for all of the units projected to be retired early, to total $4.1 billion, $7.1 billion, and $15.3 billion in 1997 dollars for the High, Reference, and Low Nuclear Generation cases, respectively.

       

    7. Spent Fuel Funding Shortfalls
      We find that the prospect of plant retirements reducing the revenue stream to fund the disposal of spent nuclear fuel suggests that the current one mill per kWh fee collected by DOE should be increased. Even more significantly, the DOE’s cost estimate for implementing the spent fuel disposal program appears to be out-of-date and optimistic. If a recent independent cost assessment putting the total program cost roughly 50% above DOE’s estimate is correct, then the fee (in nominal dollars) may have to be increased to something in the range of 2.6 mills per kWh (for the EIA generation projection) to 4.5 mills per kWh (with the Synapse low case nuclear generation projection.

      These required increases, however, could result in additional nuclear retirements. For example, with the Synapse Reference Case for nuclear retirements and the independent cost estimate for the waste disposal program, we find that the fee increase from one to 2.9 mills per kWh can be expected to result in the early retirement of an additional ten nuclear units. This would, in turn, cause a need to further increase the fee. It appears that the high level waste disposal program may not be able to simultaneously satisfy both of its principles. This potential conflict should be recognized, and avoided to the extent possible by timely adjustments to the fee. To the extent that required prospective fee increases are not feasible due to the feedback effect upon nuclear generation, other funding approaches, such as retroactive assessments upon the generators of the waste may be necessary.

     

  2. Nuclear Generation Projections
    1. Recent Nuclear Generator Retirements
    2. One need only consider the list of units that have shutdown before the end of their operating licenses to realize that "premature" closure – retirement prior to the expiration of the operating license – is more than a remote possibility. Table 2.1 lists the nuclear power plants in the US that have been retired, or for which shutdown has been announced.

      Table 2.1 Retired Nuclear Generating Units With Capacity 40 MW and Larger

      Plant

      State

      Capacity

      (MWe)

      Year Closed

      Approximate Age at Retirement (years)

      Hallam Nebraska

      75

      1964

      2

      Pathfinder South Dakota

      66

      1967

      3

      Fermi 1 Michigan

      61

      1972

      9

      Indian Point 1 New York

      265

      1974

      12

      Peach Bottom 1 Pennsylvania

      40

      1974

      8

      Humboldt Bay California

      65

      1976

      14

      Dresden 1 Illinois

      200

      1978

      19

      Three Mile Island 2 Pennsylvania

      926

      1979

      1

      Shippingport Pennsylvania

      72

      1982

      25

      La Crosse Wisconsin

      48

      1987

      19

      Rancho Seco California

      918

      1989

      15

      Shoreham New York

      820

      1989

      0

      Fort St. Vrain Colorado

      330

      1989

      10

      San Onofre 1 California

      436

      1992

      25

      Yankee Rowe Massachusetts

      175

      1992

      31

      Trojan Oregon

      918

      1992

      18

      Haddam Neck Connecticut

      582

      1996

      29

      Big Rock Point Michigan

      72

      1996

      34

      Maine Yankee Maine

      840

      1997

      25

      Zion 1 and 2 Illinois

      2080

      1998

      25

      Millstone 1 Connecticut

      660

      1998

      28

      Oyster Creek New Jersey

      650

      announced

      29

       

      The reasons given for nuclear plant retirement decisions generally include poor forward operating economics, and recently electric industry deregulation has been noted as an increasingly important factor. For example, Geoffrey Rothwell’s assessment of the decisions to close the Yankee Rowe and Trojan plants concludes that the "plants were closed after their owners determined that the Net Present Value (NPV) of continued operations was negative or nearly negative" (Rothwell, 1997).

      In the case of Maine Yankee, "economic pressure" was identified as a root cause of problems that eventually led to the unit’s retirement:

      Economic pressure to be a low-cost energy producer has limited available resources to address corrective actions and some plant improvement upgrades. Management has effectively prioritized available resources, but financial pressures have caused the postponement of some needed program improvements and actions. (NRC 1996, page 71)

      Maine Yankee’s Cultural Assessment Team reported that

      The current economic and political environment is considered precarious, and Maine Yankee’s survival is seen to be based on a formula of low cost and high production. There is an associated fear among many employees that highlighting any negative issue could endanger the plant’s continued operation. . . . At Maine Yankee, the Team found an organization struggling with forces requiring unprecedented change. These include evolving performance standards as well as deregulation within the electric utility industry. (Bradford et al., 1996, pages 8-9)

      Electric industry restructuring is, in general, magnifying pressure to cut costs. To the extent that cost cutting in operating budgets can be done without creating other problems this could work to the advantage of existing nuclear power plants. On the other hand, cutting current operating costs may be counter productive to the extent that cost cutting leads to declines in performance or to additional costs in the longer term. In either case, electric market deregulation is creating an environment where it is increasingly difficult to continue operating uneconomic plants. While some subsidies to nuclear plant operation have been provided for in "transition" plans, the pressure to mitigate stranded generation costs by closing uneconomic nuclear plants is considerable. At the same time, some companies may be waiting until stranded cost recovery is assured before deciding to retire uneconomic nuclear units.

       

    3. Deregulation and Projections of Nuclear Generator Retirements
    4. The recent experience with nuclear plant early retirement announcements raises the question of how this trend might or might be expected to continue into the future. Recent analyses of this question have found that a significant portion of the nuclear fleet is at risk of shutting down on the basis of poor operating economics.

      For example, Geoffrey Rothwell (1998) analyzes the economics of the nuclear fleet using econometric estimates to simulate costs in a probabilistic comparison with electricity market prices. He concludes that "if costs are not reduced, there are approximately two dozen units at risk of early retirement before 2006, when nuclear power unit operating licenses begin to expire" (page 12).

      Jim Riccio’s analysis for Public Citizen (1998) took a more straightforward approach. Riccio compared average nuclear fuel and O&M costs for the 1994 to 1996 period with the estimated cost of replacement power in the region as estimated by the Nuclear Regulatory Commission (1992). This comparison identified 42 nuclear units that are not competitive.

      Moody’s Investor Services (1995) examined nuclear operating costs, and concluded that there are "at least 10 nuclear plants (out of 109 in the U.S.) that might be closed in the event of deregulation" (page 7). In November 1996 Moody’s reported that

      the bond ratings of 24 nuclear operating electric utilities have been downgraded, some more than once. Only 8 IOUs [investor-owned utilities] with nuclear investments have been upgraded. . . The average bond rating for electric utilities with significant exposure to nuclear investments is Baa1 versus A2 for those with no nuclear investments and an industry-wide average of A3.

      The Interstate Natural Gas Association of America released a report in May, 1998, on the "Need for Natural Gas Increases with More Nuclear Plants Shut Down." INGAA concluded that 34 of 72 US nuclear reactor sites are vulnerable to shutdown because their annual production costs are higher than projected market prices. These sites represent 34% of the nuclear generating capacity in the U.S., or 37,859 MW.

      A recent annual survey of utility CEOs and managers (WIEG, 1998) found that only 42 percent of the respondents believe that "nuclear plants can compete in a price conscious market" while less than half (49 percent) believe that "most nuclear plants will remain in operation through their initial license term" – down from 67 percent in 1997. Virtually twice as many respondents (39 percent) as last year (20 percent) believe that a "large number of nuclear plants will be shut down in the next five years."

      In this context of emerging competition in electricity markets and changing perceptions of the ongoing role of nuclear power generation, we set out to analyze the economics of continued plant operation.

       

    5. Method and Assumptions for Nuclear Plant Retirement Analysis
    6. The prospects for retirement of the nuclear fleet depend primarily upon the operating economics. For the most part, it is reasonable to assume that nuclear units with operating costs above the market value of their electricity will be shut down when subjected to competitive pressure. Here, we’ve constructed a framework for simulating the unit owners’ decision-making on a forward-looking basis. The basic decision-rule is that the expected present value of the costs of operating the unit must be less than the expected present value of the energy produced. Where this is not the case, the unit is assumed to be retired. Projections of present value cost and revenues are done for each unit in each year of the study.

      For nuclear operating costs, we calculated averages for the 6 year period from 1992 through 1997. For our Reference case, these recent period averages were simply projected into the future with no change (in real dollars) except for a modest decline in capacity factor during the last five years of a unit’s license period. High and Low cases were developed as variations from the reference case, as indicated in Table 2.2.

       

       

      Table 2.2 Key Input Assumptions to Nuclear Retirement Analysis

      Variable

      Reference Case

      Low Nuclear Generation Case

      (high nuclear costs and low market prices)

      High Nuclear Generation Case

      (low nuclear costs and high market prices)

      Nuclear Capacity Factor 6 year average, with annual decline at 1% in last 5 years of license 6 year average, declining at 0.25% annually, plus annual decline at 2% in last 5 years of license 6 year average, increasing at 0.25% annually, no adjustment for nearing end of license
      Nuclear Fuel, O&M and Capital Additions Costs 6 year average cost per kWh, escalating at the general inflation rate annual escalation at 0.5 percent real annual decline at 0.5 percent real
      Near-term Electricity Value (1996) 1996 regional average of reported marginal energy costs plus $5/MWh for capacity value 7 percent less than the reference case 7 percent greater than the reference case
      Long-term Electricity Value (2005 and beyond) EIA’s projected market prices by region (based largely upon the cost of new combined cycle generation with gas) 15 percent less than the reference case in 2020 (based upon EIA’s analysis with lower natural gas prices) 13 percent greater than the reference case in 2020 (based upon EIA’s analysis with higher natural gas prices)

       

      For the value of generation from the nuclear generators, we used system marginal cost data for 1996 and projections of market prices for electricity by region produced by the EIA using its National Energy Modeling System (Beamon, 1997). These assumptions, for the Reference, High, and Low cases, are summarized in Table 2.2. The EIA forecast of market prices includes 2 to 3 mills/kWh for "general and administration" costs, and so 3 mills/kWh of G&A costs were included in the nuclear costs for this analysis. G&A includes labor related benefits and taxes that are typically higher for nuclear plants than for other generating facilities.

       

    7. Results of Nuclear Plant Retirement Analysis
      We find that many existing nuclear units are uneconomical to continue operating. In the reference case, 34 units are found to be uneconomical to operate. Most of these would be retired as soon as they are subjected to competitive pressure. This points to an interesting economic implication of the timing of electric industry restructuring. There appear to be a number of units that are uneconomic over the full period of their remaining lives beginning in 1998, but that would be economic over shorter, later periods due to projected increases in market prices over time. If competition comes slowly or these units are protected from competitive pressures for several years, then their owner/operators may well choose to keep them open despite their uneconomic status.

      In the low case, we find that most of the existing fleet of nuclear units is uneconomic to operate, and should be closed. In this case, the extent to which individual nuclear units will be retired early will be moderated by a price feedback. That is, as the first wave of nuclear units are retired, the electricity markets will tighten and the value of capacity and energy will rise. This will make the remaining units relatively more attractive to operate.

      In the high case, with very optimistic assumptions for nuclear plant costs and performance, we still find 20 nuclear units to be uneconomic to operate.

      The projected operating nuclear capacity for the Reference, Low, and High cases is plotted in Figure 2.1. All three cases have total nuclear capacity in the US declining from about 100 GW today to zero by 2037, but the drop off in the early years is much steeper in the low case.

      The number of nuclear of units retired early, the "lost" operating years, and the average size of the retired units are listed for our three cases in Table 2.3. In the Reference case, a total of 508 unit-years of operation are "lost" as a result of the 34 early generating unit retirements.

      Limitations and caveats are identified at the conclusion of this paper, in the section on "further research." It should also be noted that the results reported here understate the extent of early retirements in that feedback from nuclear waste program fees is not incorporated in the analysis. We have conducted some initial exploration of this feedback effect – increases in the level of the high-level waste disposal fee leading to additional retirements leading to additional fee increases – and describe those results in Section 4.3 of this report.

      It should also be noted here that the ranges used here for the low and high case input assumptions are rather tight. That is, experience for particular variables could easily fall outside of the range of projections incorporated here. It was decided that for this analysis, the range depicted in Figure 2.1 would serve well as a sufficiently wide range for analyzing decommissioning and spent fuel funding issues.

    The particular nuclear units identified as at risk in the Reference, Low, and High cases are listed in the tables in Appendix A.

     

    Table 2.3 Summary of Nuclear Retirements in the Reference, Low and High Cases

    Case

    Units Retired Prior to License Expiration Date

    Total Unit Years of Operation Lost

    Total Giga-Watt Years of Operation Lost

    Average Size of Retired Nuclear Units (MW)

    Reference Case

     

    34

    508

    479

    943

    Low Nuclear Generation Case

     

    90

    1338

    1386

    1036

    High Nuclear Generation Case

     

    20

    304

    283

    931

     

  3. Decommissioning Funding
    1. Background on Nuclear Plant Decommissioning
    2. All nuclear power plants must eventually be decommissioned. The decommissioning process includes draining the plant’s fluid systems; decontaminating pipes, equipment, and structural materials that have become radioactive; and, either immediately or after some delay period, dismantling the reactor and surrounding structures and shipping the radioactive waste to a low-level waste burial facility.

      The "irradiated" or "spent" nuclear fuel accumulated at the site during the plant’s years of operation must be removed from the spent fuel pool prior to decommissioning the facility. The cost of transporting and storing the fuel is typically not considered a part of decommissioning. In this report we will address spent nuclear fuel costs separately (in Section 4).

      The Nuclear Regulatory Commission has required that commercial nuclear power plants collect funds for their eventual decommissioning, and set the funds aside in external trust funds. The primary reason for this requirement is to ensure that funds will be available for decommissioning the plants after they have retired. When a nuclear plant is retired, it no longer generates a revenue stream, and there is little incentive for its owner to spend money to clean it up. A plant owner that is under financial stress (perhaps related to the unanticipated, "premature" retirement of its nuclear asset) might not have the resources to responsibly decommission its facility. With external funding the assurance of the availability of funds for the safe and timely decommissioning of retired nuclear plants is improved.

      There is also an equity argument for collecting funds for decommissioning during the operating life of a facility. That is, the customers who benefit from the electrical power produced by the nuclear plant should be responsible for paying its clean up cost. The equity considerations are complex, however. For example, for those nuclear plants that cost several billion dollars to construct it is not accurate to say that the customers bearing the brunt of those construction costs are "benefiting" as a result of receiving the excessively high priced electricity from the facility. Nonetheless, there is much merit to the concept that we should provide resources to ensure the safe dismantlement of today’s nuclear plants during their operating lives, rather than leaving this responsibility to future generations.

      With decommissioning funding typically based upon the license period of individual nuclear units, it is nearly certain that in the event of a shutdown prior to the end of the operating license there will be a funding shortfall. The extent of the shortfall depends upon when in its license period the unit closes, the pattern of funding, and the interest accumulated on the decommissioning fund. There have been funding shortfalls for each of the nuclear units that has been closed to-date, and this is likely to be the case for many currently operating units that are shut down in the future.

      Whether and to what extent companies are allowed to recover decommissioning fund shortfalls in the event of early retirement will depend upon the institutional arrangements. Some regulatory commissions and/or legislatures may require customers to pay such charges in non-bypassable electricity distribution fees while others may require the plant owners to fund the shortfall. The principle that only costs for generators that are "used and useful" should be charged in regulated rates is long-established. On the other hand, regulators have shown a willingness to make exceptions in the case of unfunded decommissioning costs, charging such costs to customers in regulated rates even after the facility is closed.

       

    3. Current Decommissioning Funding Status
    4. In Table B.1 of Appendix B, we list the estimated decommissioning cost and the amount in the external decommissioning funds, for all of the investor-owned utilities with large amounts of nuclear entitlements. The total for the 51 IOUs listed amounts to an estimated cost of $38.8 billion (in 1997 dollars) and a fund balance of $15.1 billion. Counted in this way, the current level of the unfunded decommissioning liability amounts to $23.6 billion, or about 61 percent of the total estimated decommissioning cost in today’s dollars. The decommissioning information relied upon here is based primarily upon data reported by utilities in their 10Ks, supplemented by information from regulatory proceedings in particular instances.

      In Table B.2 of Appendix B the decommissioning funding information is presented by unit. For this table, some calculations were necessary. For utilities that own more than one unit, the costs were allocated based upon capacity ratings in cases where we did not have unit-specific data. For units with public power minority owners the figures were scaled up from the IOU data in order to reflect the full generating unit. Note that units owned entirely by public power entities are not included in the table since data on decommissioning funding were not available.

      The figures in Table B.2 include 8 nuclear units that have already been shutdown (most of which still need to be dismantled). For these units the total estimated decommissioning cost is $3.6 billion (in 1997 dollars) while the collected funds amount to only $1.3 billion (at year-end 1997). While state regulators have sometimes allowed utilities to recover in regulated rates the decommissioning cost shortfalls for nuclear units retired early, the magnitude of the shortfall for these 8 units (about $2.3 billion) illustrates the need for timely and adequate funding of decommissioning. In a less regulated environment, it will be increasingly difficult for utilities to recover decommissioning funding shortfalls for generators that are not operating. There are also strong equity and efficiency arguments for not requiring customers to pay for such costs in regulated rates.

      Table 3.1 Nuclear Plant Decommissioning Funding Summary

       

      Total Estimated Decommissioning Cost

      (billions of 1997$)

      Total Decommissioning Fund Balance

      (billions of 1997$)

      Total Decommissioning Funding Shortfall (billions of 1997$)

      Data as of Year-End 1997:      
      51 Investor-Owned Utilities (listed in Table B.1)

      38.8

      15.1

      23.6

      102 IOU Nuclear Units (listed in Table B.2)

      42.5

      15.6

      26.9

      8 Closed Units

      3.6

      1.3

      2.3

      94 Operating IOU Nuclear Units

      38.9

      14.3

      24.6

      Projections:      
      Synapse Reference Case

      38.9

      31.8

      7.1

      Synapse Low Nuclear Case

      38.9

      23.6

      15.3

      Synapse High Nuclear Case

      38.9

      34.8

      4.1

       

    5. Estimated Decommissioning Funding Shortfalls

      With annual funding amounts collected in electricity prices charged to customers, and placed in external trust funds, the current total decommissioning funding shortfall can be expected to decline over time. Still, if funding levels are based upon the operating license periods and nuclear generators are retired prior to the end of their operating licenses, the funding available for decommissioning at the time of plant closure will be inadequate.

      For each of the three Synapse nuclear generation scenarios we projected the extent of the total shortfall for the nuclear industry in the US. For these estimates, it was assumed: (1) that the current decommissioning cost estimates are accurate; (2) that annual funding contributions are set in order to achieve the target levels in the year of operating license expiration; and (3) that any interest on the fund balances is exactly matched by escalation in the decommissioning costs.

      Given these assumptions, and the nuclear scenarios described in Section 2, we estimate that the total unfunded decommissioning liability for units retired before the end of their operating licenses would amount to $4.1 billion, $7.1 billion, and $15.3 billion, for the high, reference, and low scenarios, respectively. These figures are in 1997 dollars, and do not include the units operated by public power entities or the units already closed.

      The current set of decommissioning cost estimates is, of course, subject to considerable uncertainty. The rapid rate of escalation in the estimates over the past two decades
      suggests that further escalation is a distinct possibility, and that the unfunded liability could be much greater than the figures reported here.

     

  4. Spent Nuclear Fuel Transportation and Long-Term Storage Costs
    1. High Level Radioactive Waste Policy in the U.S.
    2. The prospect of nuclear plant retirements has implications for spent fuel disposal as well. Our nation’s policy for spent nuclear fuel disposal is based upon two potentially conflicting ideas. First, the costs of disposal are to be fully paid for by the owners and generators of spent nuclear fuel through a fee paid to the DOE for nuclear kWh generated and sold. At the same time, the DOE is precluded from changing the fee retroactively. That is, the DOE can raise the fee that it charges per kWh of future generation from nuclear power plants, but it cannot go back to nuclear electricity generated in prior years if the program revenues are found to be inadequate to cover program costs. This policy results in a classic dilemma when confronted with numerous nuclear plant retirements.

      The DOE periodically checks whether the one mill per kWh fee (along with some one-time payments) will be adequate to cover the costs of the disposal program. In estimating the revenue side of its program, the DOE typically assumes that all existing nuclear plants will operate (and pay the DOE one mill per kWh) to the end of their operating licenses, unless they have specifically announced plans to close early. DOE’s last assessment of the fee adequacy (done in October, 1996) found the one mill fee to be adequate. The DOE is expected to produce a new fee adequacy study soon.

       

      Table 4.1 Funding Scenarios for High Level Nuclear Waste Disposal Program

      Scenario

      Revenues

      Costs of Waste Disposal Program

      Shortfall in 2071 (billions

      of 1997 $)

      Necessary Fee to Cover Costs

      1. DOE 1996 Fee Adequacy Assessment With Real Interest at 2% Nuclear generation from EIA 1994 projection, adjusted to remove cancelled TVA units. DOE’s cost estimate of from September 1995 TSLCC Report.

      $1.9 billion

      1.1 mills/kWh

      2. DOE with Synapse Reference Nuclear Projection Early retirement of 34 additional nuclear units (decreasing DOE’s generation forecast by about 10%) DOE projected program costs decreased by 2.8% recognizing 5.6% lower total nuclear generation with half of costs fixed.

      $3.8 billion

      1.2 mills/kWh

      3. DOE with Synapse Low Nuclear Projection Early retirement of 90 additional nuclear units (decreasing DOE’s generation forecast by about 57%) DOE projected program costs decreased by 16.4% recognizing 32.8% lower total nuclear generation with half of costs fixed.

      $6.7 billion

      1.5 mills/kWh

      4. Independent Cost Assessment Nuclear generation from EIA 1994 projection, adjusted to remove cancelled TVA units. Cost estimate from PIC’s Independent Cost Assessment.

      $45.9 billion

      2.6 mills/kWh

      5. Independent Cost Assessment with Synapse Reference Nuclear Projection Early retirement of 34 additional nuclear units (decreasing DOE’s generation forecast by about 10%) Independently projected program costs decreased by 2.8% recognizing 5.6% lower total nuclear generation with half of costs fixed.

      $46.5 billion

      2.9 mills/kWh

      6. Independent Cost Assessment with Synapse Low Nuclear Projection Early retirement of 90 additional nuclear units (decreasing DOE’s generation forecast by about 57%) Independently projected program costs decreased by 16.4% recognizing 32.8% lower total nuclear generation with half of costs fixed.

      $43.0 billion

      4.5 mills/kWh

       

    3. Nuclear Waste Funding Scenarios and Shortfalls
    4. In Table 4.1, we summarize six scenarios for the spent fuel disposal program cash flow. In the first case, we take the analysis of the DOE’s latest fee adequacy report with one modification: the assumed real interest rate is reduced to 2.0 percent. DOE’s report presents results for a range of interest rate assumptions, but appears to favor a 2.8 percent rate based on a DRI forecast. We believe that 2.8 percent is optimistic for a risk-free return, and that a figure of 2.0 is preferable for waste fund planning purposes. Ibbotson (1998) for example reports a long-term inflation adjusted rate for government bonds of 2.1 percent.

      This first scenario shows a resulting fund shortfall of $1.9 billion (in 1997$) in the year 2071, which can be avoided by increasing the fee slightly – to 1.1 mills per kWh. This case essentially forms the basis for the DOE’s belief that the funding level need not be increased.

      In the second scenario for the nuclear waste program, we incorporate the Synapse reference case for nuclear unit retirements. This results in a forecast of future nuclear generation (and hence revenue from the fee) that is about 10 percent lower than that assumed by the DOE. Because nearly half of the total nuclear generation from our country’s fleet of nuclear units is behind us, however, the total nuclear generation (and hence the approximate total amount of nuclear waste) is reduced by only 5.6 percent. For the cost side of the program, we assume here that the disposal program costs are half fixed (unchanging with the amount of waste generated) and half variable (scaling proportionally with the amount of waste generated). The specific nature of how the program costs change with differing quantities of waste generated, transported, and stored, over different time periods is an important topic for detailed engineering analysis which remains to be undertaken. Note, however, that the decrease in program costs is likely to be much lower than the decrease in revenues, as a result of the structure of the program funding mechanism and the fact that we are at or near the mid-point in cumulative electricity production from our nation’s nuclear plants. The result for the reference case scenario is a projected funding shortfall of $3.8 billion (in 1997$) in the year 2071, at the conclusion of the spent fuel program. A relatively minor adjustment to the one mill per kWh fee – to 1.2 mills per kWh – is enough to offset the shortfall, if the adjustment is made in the next few years.

      A third scenario, with Synapse’s Low case projection of nuclear generation, shows a funding shortfall of $6.7 billion (in 1997$ in the year 2071). This can be avoided by a fee increase to 1.5 mills per kWh. Here, the adjustment to the program costs amounts to 16.4 percent, based upon the same half fixed, half variable assumption used in the prior case.

      There are many reasons to believe that the current official estimates of program costs are understated. A recent Independent Cost Assessment prepared for the Nevada Agency for Nuclear Projects (PIC, 1998) found that program costs are likely to be roughly 50 percent higher than assumed by the DOE. In our fourth nuclear waste program scenario, we substitute this cost estimate for the DOE’s, and find an expected shortfall of $45.9 billion (in 1997$ in 2071). This huge funding shortfall, a gross violation of the principle that the costs of the program are to be recovered from the generators of the waste in the fee charged to nuclear generation, can be avoided by increasing the fee to 2.6 mills per kWh.

      In scenarios 5 and 6, we combine the Synapse nuclear plant retirement projections with the independent cost estimates for the spent fuel program. The results are funding shortfalls similar to that of scenario 4, but the necessary fee increases are larger, owing to the decreases in nuclear generation. In cases 5 and 6, the fee must be raised to 2.9 and 4.5 mills per kWh, respectively.

       

    5. Feedback Effect of Fee Increases Upon Nuclear Retirements
      As the spent fuel disposal fee is increased to internalize the costs of nuclear waste, there is an important and troubling feedback effect upon fee adequacy. A higher fee will tend to cause additional nuclear unit retirements, which in turn will lead to a need to increase the fee. It is quite possible that in some scenarios this reinforcing feedback could result in a situation where increasing the fee is counterproductive. This prospect should be avoided, by making necessary adjustments to the fee in a timely manner, as the need becomes apparent. Delays in implementing fee increases could make it impossible to satisfy the "full cost recovery" principle for program funding, without implementing retroactive assessments.

      As an initial investigation of this feedback effect, we analyzed some variations on Scenario 4. In Scenario 4 we have the Synapse Reference case projection of nuclear generation and PIC’s independent cost estimate for the waste disposal program. As reported in Table 4.1, in order for the fee revenues to cover the cost of the program in this scenario, the one mill per kWh fee would need to be raised to 2.9 mills starting in 1999. When we put this increased fee level into our model for projecting nuclear retirements, we find that an additional 10 nuclear units should be retired early. The total early retirements in this scenario amount to 44 units, 671 unit-years of operation, or 654 giga-watt years. This, of course, in turn has implications for the level of the fee. With less nuclear generation the fee would have to be raised further in order to cover the full cost of the waste disposal program, possibly resulting in additional nuclear retirements.

      It is interesting also to consider the implications of delaying the fee increase. As the timing of the increases is deferred, the magnitude of the required fee goes up since there is less prospective nuclear generation to apply the fee to. We estimate that if the fee increase were delayed for five years, then instead of increasing to 2.9 mills per kWh, the fee would need to be increased to 4.0 mills (starting in January of 2004). If the fee increase is delayed by ten years, to 2009, then the level of the required fee is 6.0 mills per kWh.
  5. Conclusion
    1. Limitations of the Analysis and Areas for Further Research
    2. The analysis described here depends upon numerous simplifying assumptions. Future research should address key issues including refinement of the nuclear cost and performance projections, the incorporation of feedbacks into the methodology, and the exploration of policy options for internalizing costs and eliminating subsidies to both fossil and nuclear generation.

      The development of nuclear generation projections depends critically upon trends in nuclear plant operating costs and performance with age, particularly during the final years of a unit’s operating license. The analysis presented above considers a fairly wide range for these parameters, and not surprisingly comes to a wide range for the resulting high and low scenarios. Some uncertainty is inevitable, but further research could help to indicate likely trends, perhaps narrowing the range of input assumptions. Also, the experience toward the end of a unit’s license period deserves additional attention. It may be increasingly difficult to maintain a staff of skilled and motivated employees at a nuclear facility that is scheduled to be closed and in the context of an industry that is in decline.

      The range and volatility of electricity prices in regional markets is a worthy topic for analysis. In the study described above we considered a range of projected market prices, but we did not examine the role of price volatility. On the one hand, nuclear power offers an advantage relative to fossil fuels by diversifying exposure to oil and gas price volatility. On the other hand, nuclear power has experienced its own operating cost escalation in the past. Moreover, a period of several years with market prices below the longer term average could lead to a near term increase in nuclear unit retirements.

      Plant and company specific considerations, including plans for major equipment replacement, should also be addressed in future research projects. For facilities facing major equipment investments such as steam generator replacement, the economics of continued operation might be unfavorable, particularly in a deregulated market. In this analysis we have taken a broad view of the nuclear industry using data for cost and performance in the recent past. The result is that we present view of things that is smooth in the sense that we do not recognize the implications of large specific repairs required in particular future years. Also, the results presented here, while broadly reasonable for the industry as a whole, are not intended to be accurate for individual units.

      The role of potential nuclear plant license extensions should be examined. Some units may be granted approval to operate for an additional period beyond the expiration of their current operating licenses. If license extension becomes common, then funding shortfalls projected here could be substantially decreased.

      Tightening environmental regulations for fossil-fueled power generation should be considered. Additional costs could be imposed upon fossil fuel generators to reduce emissions of sulfur dioxide, nitrogen oxides, particulates, mercury (and other toxics), and carbon dioxide. Such additional regulations would tend to improve the economics of nuclear power plant operation. In most regions, however, in the longer term the marginal resource type determining the market price for wholesale electricity is expected to be natural gas fired combined-cycle generation. Since these gas units are relatively quite clean, the impact of tighter emissions standards will be felt mainly by existing, inframarginal fossil fuel generators.

      Feedback of nuclear retirements upon market prices for electricity could be an important phenomenon, particularly in regions and scenarios where several units are retired early. The closure of baseload generators would tend to increase market prices, making additional early retirements less economically attractive. This is a complex phenomenon that can be readily modeled with a computerized system dispatch simulation model. Such modeling would tend to be for particular regions, and is beyond the scope of the analysis conducted here.

      For nuclear plant decommissioning cost estimates and fund balances, the data presented here has good coverage of investor-owned utilities. Additional research could usefully be aimed at determining the status of decommissioning funding for public owners of nuclear power plants.

      The nuclear waste fee results are sensitive to the relationship between total nuclear waste volume and DOE spent fuel program costs. Here we made a simple scaling assumption: that one half of the costs of the high level waste program are fixed (do not vary with the amount of waste) and half are variable (scaling proportionately with the amount of waste). This is a relationship that could be usefully explored by detailed engineering analysis of the nuclear waste program cost components.

      Proposals for interim storage of nuclear waste and litigation about responsibility for costs incurred as a result of delays in the DOE development of high-level waste storage facility both play an important role in our overall nuclear waste policy. These considerations, however, are beyond the scope of the present analysis.

      Financial assumptions (i.e., the inflation rate and real interest rate) have a great influence upon the economics of the spent fuel disposal program. While we are comfortable with the assumptions employed in this analysis, further research into the appropriate financial assumptions to use in this analysis would certainly be useful. The cost streams for the high level waste program extend well into the next century, and the economics are quite sensitive to the financial assumptions.

      Consideration should be given to the role of Price-Anderson liability limits and nuclear insurance in a competitive electricity market. If the market is to function efficiently, then subsidies such as the limit on liability in the event of a nuclear accident should be eliminated. It may be possible for the market to internalize these costs in the form of insurance premiums.

      There is also a crucial feedback between nuclear waste disposal fees and the number of units that are uneconomic to operate. As the fees are increased (due, in part, to early nuclear plant retirements) the economics deteriorate for continued operation of the remaining plants, perhaps leading to additional early retirements. Our initial research suggests that this feedback loop could be strong enough in some scenarios to lead to the early shutdown of a substantial amount of nuclear generating capacity. In a situation where increasing disposal fees cause additional early retirements there would be tremendous political pressure to break the loop by violating one of the policy principles of the nuclear waste disposal program – either charging fees retroactively upon prior nuclear generation or obtaining funds from general tax revenues.

       

    3. Conclusions and Policy Implications
      Perhaps, the most important set of considerations for immediate attention are those that are within the control of regulators and policy-makers. As the electric utility industry is deregulated, we will have to decide whether and to what extent specific generating technologies should be subsidized. As a general principle of competition, the owners of nuclear power plants should be required to bear their full costs, including accident risk, nuclear waste disposal, and the costs of dismantling the plants. The public policy implications are far-reaching, particularly through time.

      It appears, for example, that the one mill per kWh fee for spent fuel transportation and long-term storage may be inadequate to fund the program. At the same time, legislation has been proposed that would cap the fee at one mill. This could lead to a violation of the principle of "full cost recovery" of the Nuclear Waste Policy Act, "under which all costs related to the waste disposal services will be paid for by the owners and generators of SNF and civilian and defense high-level radioactive waste." If we wait to increase the fee, then we may find that at some future time an even higher increase is unavoidably necessary to cover the costs of the program but that the higher fee will lead to additional plant retirement decisions, undermining the economics of the program further. Indeed, it is likely that we are already beginning to face such a situation.

      Similarly, the current understanding of projected nuclear decommissioning costs poses a policy dilemma in a deregulated electricity market. Recovery of "catch-up" amounts through wires charges and other "stranded cost" charges imposes a special burden on electric customers in geographic areas historically served by nuclear power plants, potentially distorting market signals and dampening economic activity in those areas. While equity considerations may justify such charges for past consumption of nuclear energy, both fairness and efficiency militate against such subsidies for future consumption of nuclear power.

      Consequently, the advent of competition and deregulation will inevitably force policy-makers and regulators to face the "bottom-line" question that has troubled nuclear power from the earliest stages of its commercial development: who pays how much and for how long? The answer to this question will no doubt be controversial, but is nonetheless essential and unavoidable. While this paper does not provide the answer, we hope that it offers some useful insights into the nature and the magnitude of the problem.
  6. References

Beamon, J. Alan. 1998. "Competitive Electricity Prices: An Update," DOE/EIA, July 2.

Biewald, Bruce. 1997. Testimony in Pennsylvania Public Utilities Commission Docket No. R-00973877, February.

Biewald, Bruce and David White. 1998. "Implications of Premature Nuclear Plant Closures: Funding Shortfalls for Nuclear Plant Decommissioning and Spent Fuel Transportation and Storage," proceedings of the United States Association for Energy Economics and International Association for Energy Economics 19th Annual North American Conference, October 18 to 21, Albuquerque, New Mexico.

Bradford, Robert, Jacquel-Anne Chouinard, Richard Fallon, Jr., and Jeffery Jeffries. 1996. Cultural Assessment Team Report on Factors Affecting the Reporting of Issues and Concerns at Maine Yankee, May 14.

DOE. 1996. Nuclear Waste Fund Fee Adequacy: An Assessment. DOE/RW-0490, October.

EIA. 1996. Spent Nuclear Fuel Discharges from U.S. Reactors 1994, SR/CNEAF/96-01, February.

Ibbotson Associates. 1998. Stocks, Bonds, Bills, and Inflation 1998 Yearbook.

INGAA. 1998. Need for Natural Gas Increases with More Nuclear Plants Shut Down, by the Interstate Natural Gas Association of America, May.

Moody’s Investor Service. 1996. Moody’s Assesses Nuclear Power Risks in a More Competitive Market, November.

Moody’s Investor Service. 1995. Stranded Costs Will Threaten Credit Quality of U.S. Electrics, August.

Nuclear Regulatory Commission. 1996. Independent Safety Assessment Report for Maine Yankee Atomic Power Company.

Nuclear Regulatory Commission. 1992. Replacement Energy Costs for Nuclear Electricity-Generating Units in the United States: 1992-1996, NUREG/CR-4012.

PIC. 1998. An Independent Cost Assessment of the Nation’s High-Level Nuclear Waste Program, by Planning Information Corporation, Thompson Professional Group, and Decision Research Institute. February.

Public Citizen. 1998. Questioning the Authority. Jim Riccio. April.

Geoffrey Rothwell. 1997. "Continued Operation or Closure: The Net Present Value of Nuclear Power Plants," in the Electricity Journal, August/September.

Geoffrey Rothwell. 1998. "Air Pollution Fees and the Risk of Early Retirement at US Nuclear Power Plants." Department of Economics, Stanford University. October.

Washington International Energy Group. 1998 Electric Industry Outlook.

Appendix A: Nuclear Units at Risk

Table A.1 Nuclear Units Identified at Risk in the Reference Case

Nuclear Units Retired Early

NERC Region

License Expiration Year

Retirement Year

Years Early

Beaver Valley – 1

ECAR

2016

1999

17

Beaver Valley – 2

ECAR

2027

1999

28

Brunswick – 1

SERC

2016

2002

14

Brunswick – 2

SERC

2014

2002

12

Clinton – 1

MAIN

2026

1999

27

Cooper – 1

MAPP

2014

2002

12

Crystal River – 3

SERC

2016

2003

13

Davis-Besse – 1

ECAR

2017

2001

16

Donald C Cook – 1

ECAR

2014

2001

13

Donald C Cook – 2

ECAR

2017

2001

16

Dresden - 2

MAIN

2006

1999

7

Dresden - 3

MAIN

2011

1999

12

Duane Arnold - 1

MAPP

2014

2002

12

Fermi - 2

ECAR

2025

2001

24

Fort Calhoun - 1

MAPP

2013

2002

11

Ginna - 1

NPCC

2009

2000

9

H B Robinson - 2

SERC

2010

2001

9

Indian Point 3 - 3

NPCC

2015

2000

15

Millstone - 2

NPCC

2015

1999

16

Monticello - 1

MAPP

2010

2002

8

Palisades - 1

ECAR

2007

2001

6

Peach Bottom - 2

MAAC

2013

1999

14

Perry - 1

ECAR

2026

2001

25

Pilgrim - 1

NPCC

2012

1999

13

Prairie Island - 1

MAPP

2013

2002

11

Prairie Island - 2

MAPP

2014

2002

12

Quad Cities - 1

MAIN

2012

1999

13

Quad Cities - 2

MAIN

2012

1999

13

Riverbend - 1

SPP

2025

2002

23

Salem - 1

MAAC

2016

2000

16

Salem - 2

MAAC

2020

2000

20

San Onofre - 3

WSCC

2013

1999

14

Three Mile Island - 1

MAAC

2014

1999

15

Wnp - 2

WSCC

2024

2002

22

 

 

Table A.2 Nuclear Units Identified at Risk in the High Nuclear Generation Case

Nuclear Units Retired Early

NERC Region

License Expiration Year

Retirement Year

Years Early

Beaver Valley - 1

ECAR

2016

1999

17

Beaver Valley - 2

ECAR

2027

1999

28

Brunswick - 2

SERC

2014

2002

12

Cooper - 1

MAPP

2014

2002

12

Crystal River - 3

SERC

2016

2003

13

Davis-Besse - 1

ECAR

2017

2001

16

Dresden - 2

MAIN

2006

1999

7

Dresden - 3

MAIN

2011

1999

12

Duane Arnold - 1

MAPP

2014

2002

12

Fermi - 2

ECAR

2025

2001

24

Fort Calhoun - 1

MAPP

2013

2002

11

Indian Point 3 - 3

NPCC

2015

2000

15

Millstone - 2

NPCC

2015

1999

16

Palisades - 1

ECAR

2007

2001

6

Perry - 1

ECAR

2026

2001

25

Pilgrim - 1

NPCC

2012

1999

13

Quad Cities - 1

MAIN

2012

1999

13

Quad Cities - 2

MAIN

2012

1999

13

Riverbend - 1

SPP

2025

2002

23

Salem - 1

MAAC

2016

2000

16

 

Table A.3 Nuclear Units Identified at Risk in the Low Nuclear Generation Case

Nuclear Units Retired Early

NERC Region

License Expiration Year

Retirement Year

Years Early

Arkansas Nuclear One - 1

SPP

2014

2002

12

Arkansas Nuclear One - 2

SPP

2018

2002

16

Beaver Valley - 1

ECAR

2016

1999

17

Beaver Valley - 2

ECAR

2027

1999

28

Browns Ferry - 3

SERC

2016

2009

7

Brunswick - 1

SERC

2016

2002

14

Brunswick - 2

SERC

2014

2002

12

Calvert Cliffs - 1

MAAC

2014

2000

14

Calvert Cliffs - 2

MAAC

2016

2000

16

Catawba - 1

SERC

2024

2014

10

Catawba - 2

SERC

2026

2019

7

Clinton - 1

MAIN

2026

1999

27

Comanche Peak - 1

ERCOT

2030

2002

28

Comanche Peak - 2

ERCOT

2033

2002

31

Cooper - 1

MAPP

2014

2002

12

Crystal River - 3

SERC

2016

2003

13

Davis-Besse - 1

ECAR

2017

2001

16

Diablo Canyon - 1

WSCC

2021

1999

22

Diablo Canyon - 2

WSCC

2025

2011

14

Donald C Cook - 1

ECAR

2014

2001

13

Donald C Cook - 2

ECAR

2017

2001

16

Dresden - 2

MAIN

2006

1999

7

Dresden - 3

MAIN

2011

1999

12

Duane Arnold - 1

MAPP

2014

2002

12

Edwin I Hatch - 1

SERC

2014

2002

12

Edwin I Hatch - 2

SERC

2018

2002

16

Fermi - 2

ECAR

2025

2001

24

Fort Calhoun - 1

MAPP

2013

2002

11

Ginna - 1

NPCC

2009

2000

9

Grand Gulf - 1

SERC

2022

2002

20

H B Robinson - 2

SERC

2010

2001

9

Harris - 1

SERC

2026

2002

24

Hope Creek - 1

MAAC

2026

2000

26

Indian Point - 2

NPCC

2013

2008

5

Indian Point 3 - 3

NPCC

2015

2000

15

James A Fitzpatrick - 1

NPCC

2014

2000

14

Joseph M Farley - 1

SERC

2017

2002

15

Joseph M Farley - 2

SERC

2021

2002

19

Kewaunee - 1

MAIN

2013

2002

11

La Salle - 1

MAIN

2022

1999

23

La Salle - 2

MAIN

2023

1999

24

McGuire - 1

SERC

2021

2002

19

McGuire - 2

SERC

2023

2002

21

Millstone - 2

NPCC

2015

1999

16

Millstone - 3

NPCC

2025

1999

26

Monticello - 1

MAPP

2010

2002

8

Nine Mile Point - 1

NPCC

2009

2000

9

Nine Mile Point - 2

NPCC

2026

2021

5

North Anna - 1

SERC

2018

2009

9

North Anna - 2

SERC

2020

2013

7

Oconee - 1

SERC

2013

2007

6

Oconee - 2

SERC

2013

2011

2

Oconee - 3

SERC

2014

2001

13

Palisades - 1

ECAR

2007

2001

6

Palo Verde - 1

WSCC

2024

2020

4

Palo Verde - 2

WSCC

2025

2022

3

Palo Verde - 3

WSCC

2027

2023

4

Peach Bottom - 2

MAAC

2013

1999

14

Peach Bottom - 3

MAAC

2008

1999

9

Perry - 1

ECAR

2026

2001

25

Pilgrim - 1

NPCC

2012

1999

13

Prairie Island - 1

MAPP

2013

2002

11

Prairie Island - 2

MAPP

2014

2002

12

Quad Cities - 1

MAIN

2012

1999

13

Quad Cities - 2

MAIN

2012

1999

13

Riverbend - 1

SPP

2025

2002

23

Salem - 1

MAAC

2016

2000

16

Salem - 2

MAAC

2020

2000

20

San Onofre - 2

WSCC

2013

1999

14

San Onofre - 3

WSCC

2013

1999

14

Seabrook - 1

NPCC

2026

1999

27

Sequoyah - 1

SERC

2020

2002

18

Sequoyah - 2

SERC

2021

2002

19

South Texas - 1

ERCOT

2027

2002

25

South Texas - 2

ERCOT

2028

2002

26

St. Lucie - 1

SERC

2016

2003

13

St. Lucie - 2

SERC

2023

2003

20

Summer - 1

SERC

2022

2001

21

Surry - 1

SERC

2012

1999

13

Surry - 2

SERC

2013

2006

7

Susquehanna - 2

MAAC

2024

2013

11

Three Mile Island - 1

MAAC

2014

1999

15

Turkey Point - 3

SERC

2012

2003

9

Turkey Point - 4

SERC

2013

2003

10

Vogtle - 1

SERC

2027

2019

8

Vogtle - 2

SERC

2029

2009

20

Waterford - 3

SPP

2024

2002

22

Watts Bar - 1

SERC

2036

2035

1

Wnp - 2

WSCC