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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.
Digby D. Macdonald, Iouri Balachov
Nuclear Technology | Volume 120 | Number 1 | October 1997 | Pages 86-93
Technical Note | Material | doi.org/10.13182/NT97-A35434
Articles are hosted by Taylor and Francis Online.
The viability of an often-employed engineering method of determining bottom drain (lowerplenum) oxygen levels in boiling water reactors is explored, in which bottom drain oxygen is back-calculated from the recirculation system oxygen level and the combined recirculation system/bottom drain value. For a low flow fraction f where 0.16 <f <0.20 is often employed, the back-calculated bottom drain oxygen level can be grossly in error, reflecting the minimal amount of information that is derived from the lower plenum. This finding cautions against using back-calculated lower plenum oxygen levels to specify hydrogen water chemistry conditions for protection of the components in the lower plenum, particularly when f is small. The uncertainty in the bottom drain [O2I has been characterized by using a Monte Carlo error analysis for both systematic and random errors. Modifications to the sampling system that would greatly reduce these errors are identified.