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The human factor in licensing and operating the next generation of nuclear plants
As human factors specialists working at the intersection of human performance and nuclear operations, we are witnessing one of the nuclear sector’s most significant transitions in decades. The emergence of small modular reactors, microreactors, and other advanced designs is reshaping the industry’s landscape. Digital instrumentation and controls, passive safety systems, and increased automation are creating opportunities for greater safety margins and more flexible operation. These same features also fundamentally redefine what it means to “operate” a nuclear plant. Interactions among human roles, automation, and passive systems shape how people maintain awareness, exercise judgment, and intervene when necessary. These developments affect both operational realities and the regulatory foundations on which nuclear safety is built.
Robert E. Canaan, Dale E. Klein
Nuclear Technology | Volume 116 | Number 3 | December 1996 | Pages 306-318
Technical Paper | Nuclear Fuel Cycle | doi.org/10.13182/NT96-A35286
Articles are hosted by Taylor and Francis Online.
Natural convection heat transfer is experimentally investigated in an enclosed horizontal rod bundle, which characterizes a spent-fuel assembly during transport and some dry storage scenarios. The objective of this experimental study is to obtain convection correlations that can be used to easily incorporate convective effects into analytical models of horizontal spent-fuel systems and also to investigate the physical nature of natural convection in enclosed horizontal rod bundles in general. The resulting data consist of correlations of convective Nusselt number, which are defined in terms of the maximum and average assembly temperatures. The correlations have been corrected for radiation heat transfer using a numerical technique. The data suggest the presence of conduction and convection regimes, distinguished by a critical Rayleigh number. The correlation of the convection regime suggests turbulent flow conditions. Predictions of maximum assembly temperature using the presented correlations are compared with additional experimental data obtained in a horizontal enclosed rod bundle. Further comparisons are made with predictions from the widely used Wooten-Epstein equation and a recently developed theoretical approach based on an effective thermal conductivity model. Favorable results are obtained, especially for thermal conditions that favor natural convection, such as relatively low enclosure temperatures and abovestandard atmospheric pressure.