Assessment of the Anticipated Environmental Footprint of Future Nuclear Energy Systems. Evidence of the Beneficial Effect of Extensive Recycling
Abstract
:1. Introduction
- (i)
- First by deploying 3rd generation reactors which are derived from the current BWR and PWR in-operation but are reinforced in terms of safety (no radionuclide release in case of core fusion) and efficiency;
- (ii)
- Second by deploying 4th generation reactors which are aimed to more efficiently consume natural uranium by favoring the transformation of the fertile 238U into fissile 239Pu thanks to higher energy neutrons. They are hence referred to as Fast Neutron Reactors (FNR). In this work FNR taken as reference are Sodium-cooled Fast Reactors for which numerous environmental data are available in France thanks to PHENIX and SUPERPHENIX exploitation. This choice does not reflect the diversity of 4th generation reactors and their associated fuel cycle explored worldwide [5] or in the Generation IV International Forum (GIF) [6] but rather illustrates the benefits of FNR in the French nuclear strategy. Although our paper is based on the French strategy and does not aim at reflecting all the potential future reactors systems, it is important to recall that EPRs can be potentially used also for other innovative fuel cycles [7,8,9].
2. Presentation of the Various Scenarios under Study
- The fuel cycle front-end including the ore-mining and milling, the conversion of U3O8 into UF6, the enrichment of UF6, the conversion of UF6 to oxide, and the fuel manufacturing;
- The electricity production in the considered reactors fleet;
- The fuel cycle back-end including the discharging of SNF from the reactor, its decay storage before reprocessing it to recycle Pu in MOX fuel, U in URE and potentially Am for transmutation. It also includes the conditioning and the disposal of the ultimate waste (High-Level and Long-Lived Medium-Level Waste) in a deep geological repository.
2.1. Case Study of a 100% EPR Fleet
- an electrical production capacity of 1600 MWe;
- a thermal efficiency of 36% with an availability of 85%;
- a fuel burn-up of 55 GWd/tU to be compared to the current average burnup of 40 GWd/tU;
- a reactor lifetime of 60 years (conception lifetime).
- 24 are only fed with UOX fuel manufactured from enriched U-ore;
- 11 use both UOX and MOX fuel with a ratio of 30% of MOX in the reactor core, and a plutonium content of 10.9% in the MOX fuel;
- three use reprocessed uranium fuel (URE). For this purpose 587 t of reprocessed U have to be re-enriched up to 4.5% 235U content.
2.2. Theoretical Case Study of a 100% SFR Fleet
- an electrical production capacity of 1450 MWe,
- achieves 40% thermal efficiency with an availability of 85%,
- MOX containing 15.5% of plutonium is used to feed the reactor and the average fuel burn-up is increased to 100 GWd/tU,
- The lifetime of the reactor is anticipated to be 60 years (conception lifetime).
3. Presentation of the LCA Methodology and the NELCAS Tool
3.1. Selection of Key Environmental Indicators
3.2. Presentation of the NELCAS LCA Tool
- Simplified Evolution Code Applied to Reprocessing (CESAR) is an evolution code developed in partnership CEA/AREVA-NC which allows a rapid assessment of the isotopic evolution of 109 actinides, 209 fission products and 146 activation products within SNF, and provides concentration values, residual power, activities, and sources of penetrating radiation [12].
- COSI [13] like NELCAS simulates a fleet of nuclear power plants with their associated fuel cycle facilities (enrichment, reprocessing…). The major goal of this code is take into consideration, for various future scenarios with Gen III and Gen IV reactors deployment, the overall balance of nuclear materials. This includes in function of time precise nuclear materials fluxes between facilities, nuclear fuel burn-up, spent nuclear fuel cooling time and reprocessing timeline, isotopic composition constraints…
4. Presentation of the Environmental Indicators for Potential Future Nuclear Energy Systems
4.1. The 100% EPR Case Study
- An increase steam pressure (>77 bar) which allows a higher turbine efficiency, up to 37%. This value is currently lower for PWR: 32–33% for 900 MWe (34 reactors in France) and 34–35% for 1300 MWe and 1450 MWe (20 reactors);
- The EPR is expected to achieve a higher availability rate of 85% compared to the current PWR fleet due to the possibility of realizing some maintenance operations during reactor operation (74% observed in 2010);
- A design lifetime of 60 years, versus 40 years for the current PWR reactors, must also be taken into consideration since the calculated impacts are averaged on the whole lifetime of a plant.
4.2. Environmental Indicators for a 100% SFR Case Study
- The SFR reactors can completely be fed by recycled U and Pu and a limited amount of depleted uranium (less than 50 t/y from the huge French stockpile, higher than 400,000 t) and theoretically, no additional uranium ore is needed. This allows us to skip (for a very long period of time) the use of uranium mines which have a predominant role for many impact indicators as previously shown on Figure 4. In the absence of any front-end activities, the impacts become dominated by reactors operation and SNF reprocessing as shown on Figure 8.
- The SFR reactors have a higher thermal efficiency (in the range of 40% to be compared to 33% for the classical LWR). Therefore, it also allows decreasing the indicators which are dominated by the reactors operation, such as water withdrawal and consumption.
4.3. Environmental Indicators for a Case Study of the Am-Sole Recycling in FNR
5. Fuel Cycle Evolutions and Comparison
- The repository surface is a given characteristic of a repository site, and it cannot a priori be easily extended. Reducing the surface needed for a given electricity production would allow operating such a repository for much longer time. Considering the complexity and time needed to find a suitable site and get it approved, it is a substantial gain.
- The repository volume corresponds to the volume of materials to be excavated, which influences directly the cost of construction of the repository. Reducing the repository volume means hence reducing the repository cost.
6. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
Abbreviations
COP21 | 21st Conference of Parties, December 2015, Paris |
LCA | Life Cycle Assessment |
NELCAS | Nuclear Energy Life Cycle Assessment Simulation tool, bespoke LCA CEA code |
SNF | Spent Nuclear Fuel |
OTC | Once-Through Cycle |
TTC | Twice-Through Cycle |
MTC | Multi-Through Cycle |
UOX | Uranium Oxide Fuel |
MOX | Mixed uranium/plutonium Oxide Fuel |
URE | Uranium re-enriched Fuel (nuclear fuel made from re-enriched-reprocessed uranium) |
BWR | Boiling Water Reactor |
LWR | Light Water Reactors |
PWR | Pressurized Water Reactor |
EPR | European Pressurized Reactor |
FNR | Fast Neutron Reactor |
SFR | Sodium cooled Fast Reactor |
P&T | Partitioning and Transmutation |
GWd/tU | GigaWatt Day per ton of uranium |
kWe, MWe, GWe, TWe | Kilo, Mega, Giga or Tera Watt electric |
kWhe, MWhe, GWhe, TWhe | Kilo, Mega, Giga or Tera Watt hour electric |
GB I | Georges Besse I (French enrichment plant based on gaseous diffusion) |
GB II | Georges Besse II (French enrichment plant based on ultra-centrifugation) |
SWU | Separative Work Units |
CESAR | Simplified Evolution Code Applied to Reprocessing developed by CEA |
COSI | Commelini-Sicard Code for Nuclear Fuel Cycle Simulation developed by CEA |
VLLW | Very-low-level waste |
LILW-SL | Low and Intermediate Level Waste, Short-Lived |
LILW-LL | Low and Intermediate Level Waste, Long-Lived |
HLW | High Level Waste |
POCP | Photochemical Ozone Creation Potential |
GHG | Green House Gases |
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Fuel Cycle Step | Site | Operation | Ref. |
---|---|---|---|
Front-end of the fuel cycle | Mines (Areva Production): | Origin of data identical to those already reported for the current French nuclear cycle and adjusted to the calculated for the EPR scenario | [3] |
• Canada (26%, underground) | |||
• Niger (33%, open-pit) | |||
• Kazakhstan (41%, ISL) | |||
Malvési (Narbonne) | Origin of data identical to those already reported for the current French nuclear cycle and adjusted to the calculated for the EPR scenario | [3] | |
Tricastin (Pierrelatte) | Origin of data identical to those already reported for the current French nuclear cycle and adjusted to the calculated nuclear material fluxes for the EPR scenario | [3] | |
Romans | Origin of data identical to those already reported for the current French nuclear cycle and adjusted to the calculated for the EPR scenario | [3] | |
Energy production | 38 EPR (1600 MWe) fleet | EPR:: Data provided by EDF (report “Flamanville 3 head EPR series—Client Folder” EPR UK reports, Part of civil engineering data provided by the Quille company, ECOINVENT data extrapolated from current LWR + CEA expertise for fuel management. | [14,15,16,17] |
42 SFR (1450 MWe) fleet | SFR: Data provided by EDF and CEA, taking into account both Phenix and Superphenix reactors experience feedback. Data extrapolated from CEA-Phenix reports concerning the authorization of discharges and water withdrawals, data from CEA system studies for technological waste and fuel management. | [18,19] | |
Back-end of the fuel cycle | La Hague | Data from CEA system studies, Data from AREVA TSN reports of La Hague plant | [3,20,21,22] |
Tricastin (Pierrelatte) | Data from CEA studies or scenarios and AREVA TSN reports | [3,20,21,22,23] | |
MELOX plant (Marcoule) | Data from CEA studies or scenarios and AREVA TSN reports | [23,24] | |
Storage/Disposal: Aube (VLLW, ILW-SL) Meuse-Haute Marne (CIGEO project for an underground long term disposal site for ILW-LL and HLW) | Data from CEA scenario or studies and ANDRA associated reports. | [22,25] | |
Transports | Between every sites described above | Origin of data identical to those already reported for the current French nuclear cycle | [3] |
Construction, dismantling | Data derived from EcoInvent, CEA system studies, and ANDRA | [3,26] |
Impact Indicators | Unit | TTC | EPR | Difference% |
---|---|---|---|---|
GHG emissions | gCO2 eq/kWhe | 5.29 | 3.97 | −24% |
Atmospheric pollution SOx | g/MWhe | 16.3 | 12.7 | −22% |
Atmospheric pollution NOx | g/MWhe | 25.3 | 21.35 | −20% |
Land-use | m2/GWhe | 211.0 | 161.6 | −23% |
Natural ressource efficiency | kU/TWhe | 18.7 | 15.2 | −19% |
Water consumption | L/MWhe | 1507 | 1437 | −5% |
Water withdrawal | L/MWhe | 72,364 | 70,132 | −3% |
Acidification potential | gSO2 eq/MWhe | 35.1 | 27.7 | −21% |
POCP | gC2H4 eq/MWhe | 2.88 | 2.27 | −21% |
Ecotoxicity | g1,4-DCB eq/MWhe | 638.2 | 499.6 | −22% |
Human toxicity | g1,4-DCB eq/MWhe | 1235.1 | 967.1 | −22% |
Eutrophication | gPO4 eq/MWhe | 5.45 | 4.18 | −23% |
Liquid chemical effluents | kg/GWhe | 287.53 | 225.40 | −22% |
Technological wastes | kg/GWhe | 26.38 | 20.42 | −23% |
Gaseous radioactive releases | MBq/kWhe | 1.22 | 1.14 | −7% |
Liquid radioactive releases | kBq/kWhe | 27.2 | 33.5 | 23% |
Total radioactive releases | MBq/kWhe | 1.25 | 1.17 | −6% |
VLLW | m3/TWhe | 3217.6 | 2610 | −19% |
ILW-SL | m3/TWhe | 30.21 | 19.4 | −36% |
ILW-LL | m3/TWhe | 1.18 | 0.767 | −35% |
HLW | m3/TWhe | 0.36 | 0.298 | −16% |
Impact Indicators | Unit | SFR Scenario | Difference vs. TTC |
---|---|---|---|
GHG emissions | gCO2 eq/kWhe | 2.33 | −55.3% |
SOx emissions | g/MWhe | 0.59 | −96.3% |
NOx emissions | g/MWhe | 3.83 | −85.7% |
Land-use | m2/GWhe | 50.2 | −76.2% |
Water consumption | L/MWhe | 1237 | −17.9% |
Water withdrawal | L/MWhe | 60,336 | −16.6% |
Acidification | gSO2 eq/MWhe | 3.3 | −90.7% |
POCP | gC2H4 eq/MWhe | 0.18 | −93.8% |
Ecotoxicity | g1,4-DCB eq/MWhe | 0.07 | −100.0% |
Human toxicity | g1,4-DCB eq/MWhe | 4.8 | −99.6% |
Eutrophication | gPO4 eq/MWhe | 1.8 | −67.1% |
Liquid chemical effluents | kg/GWhe | 12.6 | −95.6% |
Technological waste | kg/GWhe | 18.70 | −29.1% |
Gaseous radioactive release | kBq/kWhe | 528 | −56.8% |
Liquid radioactive release | Bq/kWhe | 3557 | −86.9% |
VLLW | m3/TWhe | 72.4 | −97.8% |
LILW-SL | m3/TWhe | 18.2 | −39.7% |
LILW-LL | m3/TWhe | 1.4 | 21.0% |
HLW | m3/TWhe | 0.30 | −16.6% |
Impact Indicators | Unit | 100% SFR Case-Study | 100% SFR Case Study + Am-Sole Recycling | Difference% |
---|---|---|---|---|
GHG emissions | gCO2 eq/kWhe | 2.33 | 2.39 | 2.7% |
SOx emissions | g/MWhe | 0.59 | 0.61 | 2.9% |
NOx emissions | g/MWhe | 3.83 | 3.86 | 0.7% |
Landuse | m2/GWhe | 50.2 | 50.4 | 0.4% |
Water consumption | L/MWhe | 1237 | 1237 | 0.0% |
Water withdrawal | L/MWhe | 60,336 | 60,337 | 0.0% |
Acidification | gSO2 eq/MWhe | 3.27 | 3.31 | 1.1% |
POCP | gC2H4 eq/MWhe | 0.18 | 0.18 | 0.1% |
Ecotoxivity | g1,4-DCB eq/MWhe | 0.071 | 0.077 | 7.8% |
Human toxicity | g1,4-DCB eq/MWhe | 4.8 | 4.8 | 0.8% |
Eutrophication | gPO4 eq/MWhe | 1.8 | 1.9 | 6.8% |
Liquid chemical effluents | kg/GWhe | 13 | 14 | 9.9% |
Technological waste | kg/GWhe | 18.7 | 18.4 | −1.8% |
Gaseous radioactive release | kBq/kWhe | 528 | 568 | 7.8% |
Liquid radioactive release | Bq/kWhe | 3557 | 3597 | 0.1% |
VLLW | m3/TWhe | 72 | 53 | −27.0% |
LILW-SL | m3/TWhe | 18.22 | 16.84 | −7.6% |
LILW-LL | m3/TWhe | 1.42 | 1.53 | 7.4% |
HLW | m3/TWhe | 0.30 | 0.28 | −5.4% |
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Serp, J.; Poinssot, C.; Bourg, S. Assessment of the Anticipated Environmental Footprint of Future Nuclear Energy Systems. Evidence of the Beneficial Effect of Extensive Recycling. Energies 2017, 10, 1445. https://doi.org/10.3390/en10091445
Serp J, Poinssot C, Bourg S. Assessment of the Anticipated Environmental Footprint of Future Nuclear Energy Systems. Evidence of the Beneficial Effect of Extensive Recycling. Energies. 2017; 10(9):1445. https://doi.org/10.3390/en10091445
Chicago/Turabian StyleSerp, Jérôme, Christophe Poinssot, and Stéphane Bourg. 2017. "Assessment of the Anticipated Environmental Footprint of Future Nuclear Energy Systems. Evidence of the Beneficial Effect of Extensive Recycling" Energies 10, no. 9: 1445. https://doi.org/10.3390/en10091445
APA StyleSerp, J., Poinssot, C., & Bourg, S. (2017). Assessment of the Anticipated Environmental Footprint of Future Nuclear Energy Systems. Evidence of the Beneficial Effect of Extensive Recycling. Energies, 10(9), 1445. https://doi.org/10.3390/en10091445