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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.
Robert Martin
Nuclear Science and Engineering | Volume 48 | Number 2 | June 1972 | Pages 125-138
Technical Paper | doi.org/10.13182/NSE72-A22466
Articles are hosted by Taylor and Francis Online.
This article presents the results of an experimental study of the void fraction at high pressure (80 to 140 kg/cm2) in two rectangular channels (5 × 0.2 and 5 × 0.28 cm) simulating a subchannel of a nuclear reactor plate-type fuel element. The method enabled the distribution of the local void fraction in a cross section to be measured at about 100 locations; from these local values it was possible to determine accurate mean values and to precisely quantitate the influence of the parameters: pressure, mass velocity, and heat flux. This distributions of void fractions, among the first to be determined in this range of pressures, were obtained from 120 000 systematic, individual measurements, sufficient to allow accurate interpolations in the experimental region under consideration which included subcooled conditions. These results enabled testing certain models presented in the literature. Analyses with the Bowring model, for example, are in good agreement with present experimental data at 80 kg/cm2. The purpose of this study was not to establish a new model but to furnish accurate data for verification or, if necessary, adjustment of existing models.