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OECD NEA project gets ahead of AI use in nuclear industry
The OECD Nuclear Energy Agency’s International Regulatory Laboratory (RegLab) Project, which brings together experts from across the nuclear field to examine the potential impact of emerging technologies, has released a report on its first cycle that details the outcomes of a RegLab focused on the use of artificial intelligence in real-time monitoring of nuclear power plants.
Participants started out with an initial problem/opportunity statement, from which they developed a use case and a mock safety, security, safeguards, and environmental protection (SSSE) case. Then, over the course of two workshops, participants considered these cases in depth.
Quanwen Wu, Zhenhua Zheng, Jinchun Bao, Wenhua Luo, Daqiao Meng, Zhiyong Huang
Fusion Science and Technology | Volume 77 | Number 2 | February 2021 | Pages 81-87
Technical Paper | doi.org/10.1080/15361055.2020.1850157
Articles are hosted by Taylor and Francis Online.
In nuclear fusion reactor facilities, the multi-confinement system and the air detritiation system (ADS) are very important to prevent tritium leaking to the environment. A high-performance tritium oxidation catalyst is strongly required in the ADS. In this study, the air resistance and catalytic performance of honeycomb detritiation catalysts are investigated. Then, the honeycomb catalysts are applied in a glove-box detritiation system as well as in an ADS, and the detritiation performance is tested with tritium. Honeycomb catalysts have a much lower air resistance and an excellent scale-up effect due to the behavior of laminar flow. Thus, the honeycomb catalyst increases the reaction space velocity by nearly 100 times without decreasing the conversion rate of H2. Even at an extremely low tritium concentration, the honeycomb catalyst transforms tritium over 95% into tritiated water. In short, Pt-loaded honeycomb catalysts have a huge advantage in and broad potential for air detritiation.