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- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received March 30, 2024
Accepted July 22, 2024
- This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Economic Evaluation of Multi-recycling and Once-Through Fuel Cycle Considering National Plans
Abstract
This paper presents a comparative and quantitative analysis of transition scenarios to potential fuel cycle options, focusing on
once-through (OT) and pyro-sodium-cooled fast reactor (pyro-SFR) cycles. By employing a module-based fl ow diagram in
system defi nition, we developed a dynamic mass-fl ow model to simulate transition scenarios in line with the current Korean
nuclear plans. Additionally, we derived an economic evaluation model to determine the levelized cost of electricity (LCOE)
for each fuel cycle option. This model includes detailed equations for calculating reactor capital costs and the optimal concentration
of depleted uranium. Our mass-fl ow analysis highlights the pyro-SFR cycle’s superior resource utilization and
reduced high-level radioactive waste (HLW) production. However, this cycle necessitates additional reactors and back-end
cycle facilities. The economic evaluation reveals a marginally higher LCOE for the pyro-SFR cycle, attributed to the costs
of constructing and operating these additional facilities. However, uncertainty analysis indicates that uncertainties in unit
costs diminish the impact of the cost diff erence. Through sensitivity analysis, we identifi ed critical modules and break-even
points for unit costs, such as reactor capital and natural uranium mining. Our fi ndings off er crucial insights for decisionmaking
in spent fuel management plans or policies. System analysis always faces challenges due to data limitations and the
commercialization barriers of back-end fuel cycle technologies; however, continued eff orts to enhance evaluation accuracy
and reduce uncertainty are needed.