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NRC provides timeline update on rules, meeting EO deadline
Last May, President Trump issued Executive Order (EO) 14300, “Ordering the Reform of the Nuclear Regulatory Commission,” which mandated that the NRC review and overhaul its rules within 18 months of the EO being issued.
At a public meeting on Thursday, NRC officials shared details and an overview of the rulemaking process, saying that they were on target to have these rules ready by the November 23 deadline.
Óscar Zurrón, Guillermo Sánchez, Carolina Álvaro
Nuclear Science and Engineering | Volume 145 | Number 1 | September 2003 | Pages 153-159
Technical Paper | doi.org/10.13182/NSE03-A2371
Articles are hosted by Taylor and Francis Online.
As an example of the application of the International Criticality Safety Benchmark Evaluation Project (ICSBEP) work to the nuclear industry, the validation of the control module CSAS26 of SCALE 4.4a for criticality calculations on a personal computer platform is presented. This work has been done using the models of critical experiments being compiled by the Organisation for Economic Co-operation and Development/Nuclear Energy Agency (OECD/NEA) since 1992. The description and results of this compilation were first presented during the Fifth International Conference on Nuclear Criticality Safety (ICNC'95). Out of 2881 critical configurations included in the latest edition (September 2002) of the ICSBEP "International Handbook of Evaluated Criticality Safety Benchmark Experiments," NEA/NSC/DOC(95)03, OECD/NEA, 131 have been selected for the CSAS26 validation. The selected critical experiments have characteristics similar to the systems to be simulated with CSAS26 for low-enriched uranium (LEU) fuel fabrication applications. They represent both homogeneous configurations and hexagonally pitched rod lattices of low-enriched (from 1.60 to 5.00 wt% 235U) UO2 with several absorbers. The statistical uncertainties related to the application of CSAS26 for criticality calculations are also evaluated. The great number of cases involved allows an exhaustive statistical treatment of the data, including the analysis of correlations related to the type of system being simulated. The statistical uncertainties found are very small. As a result, the module CSAS26 is considered as a quite suitable calculational method for application to criticality safety analysis at LEU facilities.