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UIUC submits MMR construction permit application
The University of Illinois–Urbana-Champaign, in partnership with Nano Nuclear Energy, has submitted a construction permit application to the Nuclear Regulatory Commission for construction of a Kronos micro modular reactor (MMR). This is the first major step in the two-part 10 CFR Part 50 licensing process for the research and test reactor and is the culmination of years of technical refinement and regulatory alignment.
The team chose to engage with the NRC in a preapplication readiness assessment, providing the agency with draft versions of the majority of the CPA’s technical content for feedback, which is expected to ensure a high-quality application.
Xiaoxu Diao, Yunfei Zhao, Mike Pietrykowski, Zhuoer Wang, Shannon Bragg-Sitton, Carol Smidts
Nuclear Technology | Volume 202 | Number 2 | May-June 2018 | Pages 106-123
Technical Paper | doi.org/10.1080/00295450.2018.1426963
Articles are hosted by Taylor and Francis Online.
This paper studies the propagation and effects of faults in critical components that pertain to the secondary loop of a nuclear power plant found in nuclear hybrid energy systems (NHESs). This information is used to design an online monitoring (OLM) system that is capable of detecting and analyzing faults that are likely to occur during NHES operation. In this research, the causes, features, and effects of possible faults are investigated by simulating the propagation of faults in the secondary loop of a nuclear power plant. The simulation is conducted using Integrated System Failure Analysis (ISFA), a promising method analyzing hardware and software faults during the conceptual design phase. First, the models of system components required by ISFA are constructed. Then, fault propagation analysis is implemented, which is conducted under the bounds set by acceptance criteria derived for the design of an OLM system. The result of the fault simulation is utilized to evaluate the effectiveness of signals for fault detection and diagnosis and to propose an optimization plan for the OLM system. Finally, several experiments are designed and conducted using a hardware-in-the-loop system to verify the correctness and effectiveness of the proposed method.