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August 24–27, 2026
Dallas, TX|Hilton Anatole
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Center for Used Fuel Research: Building confidence in storage and transport
Used nuclear fuel storage and transportation have reached a critical juncture.
Dozens of utilities need reliable data on how used nuclear fuel performs in dry storage casks and canisters to extend regulatory licenses at sites across the United States. Likewise, the Department of Energy expects to take ownership of the used nuclear fuel—termed “spent nuclear fuel” in the laws and regulations governing its stewardship—and transfer it to one or more federal staging facilities for management and disposition.
Meanwhile, dozens of reactor companies are testing prototypes of advanced reactors and advanced reactor fuels. Eventually, regulators and industry must also verify the safety and security of storage methods for these advanced fuel types.
To help address these challenges, the DOE established the Center for Used Fuel Research (CUFR) in January 2026 for work related to the long-term storage and transport of used nuclear fuel.
Diego Mandelli, Andrew Sowder
Nuclear Technology | Volume 212 | Number 4 | April 2026 | Pages 850-869
Research Article | doi.org/10.1080/00295450.2025.2510771
Articles are hosted by Taylor and Francis Online.
This paper targets the reduction of fixed operations and maintenance (O&M) costs for advanced reactor (AR) designs. The ability to achieve such reduction will be severely constrained if the assumptions that underly O&M approaches and practices are not questioned and reexamined, especially in the present day, when changes can be implemented both effectively and efficiently. Reducing AR O&M costs necessitates a paradigm shift that is unrealizable through incremental, technology-focused approaches alone.
The present work addresses this challenge by evaluating the impact of moving to shorter design lives for major structures, systems, and components (SSCs), as well as to shorter, more predictable refurbishment cycles, as modeled by the commercial airline industry. This is termed the build-to-replace approach. The present paper briefly overviews this new perspective on AR O&M, and provides a set of multi-objective optimization-based analytical tools to identify the benefits of this type of approach. As a direct example, we analyze a specific build-to-replace scenario by identifying and evaluating cases involving reduced SSC lifetimes and associated replacement/refurbishment schedules, thus enabling an evaluation of the impacts on O&M costs and other lifecycle elements, such as SSC reliability.