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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.
Kenneth D. Wright, James S. Tulenko, Edward T. Dugan
Nuclear Technology | Volume 123 | Number 3 | September 1998 | Pages 259-267
Technical Paper | Reactor Safety | doi.org/10.13182/NT98-A2897
Articles are hosted by Taylor and Francis Online.
Monte Carlo N-Particle Transport Code System (MCNP) criticality calculations were performed on a library of critical benchmark experiments to obtain preliminary bias values and subcritical margins to be utilized in licensing calculations for high-level radioactive waste disposal.The critical experiments library includes a broad range of system physical and neutronic characteristics that are representative of a range of potential criticality configurations relevant to long-term deep geological disposal. Two hundred and eighty-nine critical benchmark experiments were selected and grouped into 20 critical experiment classifications.From the results of this study, an applicable subcritical margin or maximum allowable keff can be selected for preliminary repository criticality analysis based on the similarity between the physical and neutronic characteristics of the system being analyzed and the relevant library classification. The results of this study provide quantification of both the confidence associated with the MCNP code and the presented conservative method for performing criticality evaluations relevant to repository emplacement of high-level radioactive waste.