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Jefferson Lab awarded $8M for accelerator technology to enable transmutation
The Thomas Jefferson National Accelerator Facility is leading research supported by two Department of Energy Advanced Research Projects Agency–Energy (ARPA-E) grants aimed at developing accelerator technology to enable nuclear waste recycling, decreasing the half-life of spent nuclear fuel.
Both grants, totaling $8.17 million in combined funding, were awarded through the Nuclear Energy Waste Transmutation Optimized Now (NEWTON) program, which aims to enable the transmutation of nuclear fuels by funding novel technologies for improving the performance of particle generation systems.
Takuya Yamashita, Takeshi Honda, Masato Mizokami, Kenichiro Nozaki, Hiroyuki Suzuki, Marco Pellegrini, Takeshi Sakai, Ikken Sato, Shinya Mizokami
Nuclear Technology | Volume 209 | Number 6 | June 2023 | Pages 902-927
Technical Paper | doi.org/10.1080/00295450.2022.2157663
Articles are hosted by Taylor and Francis Online.
The estimation and understanding of the state of fuel debris and fission products inside the plant is an essential step in the decommissioning of the Tokyo Electric Power Company Holdings Fukushima Daiichi Nuclear Power Station (1F). However, the direct observation of the plant interior, which is under a high radiation environment, is difficult and limited. Therefore, in order to understand the plant interior conditions, a comprehensive analysis and evaluation are necessary, based on various measurement data from the plant, analysis of plant data during the accident progression phase, and information obtained from computer simulations for this phase. These evaluations can be used to estimate the conditions of the interior of the reactor pressure vessel (RPV) and the primary containment vessel (PCV). Herein, 1F Unit 3 is addressed as the subject to produce an estimated diagram of the fuel debris distribution from data obtained about the RPV and PCV based on the comprehensive evaluation of various measurement data and information obtained from the accident progression analysis, which were released to the public in November 2022.