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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.
Meng Yue, Lap-Yan Cheng, Robert A. Bari
Nuclear Technology | Volume 165 | Number 1 | January 2009 | Pages 1-17
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT09-A4058
Articles are hosted by Taylor and Francis Online.
The purpose of this study is to evaluate the proliferation resistance characteristics for different fuel cycle arrangements in the context of a global nuclear energy system using a Markov approach, which is capable of modeling complex systems and providing probabilistic measures. A technique that groups a set of reactors similar to each other and yet captures major fuel cycle features for proliferation study is proposed as an enhancement to the Markov approach to reduce the modeling complexity. In evaluating impacts on proliferation, both the amounts of total materials around the world and the amounts of materials that are used by the host state are considered. Proliferation concerns are represented based on the proliferation resistance measures of fuel cycles. In addition to representing proliferation impact in terms of proliferation success probability, a measure of proliferation risk is also introduced by using a product of the proliferation success probability and the material type index that represents the consequence of the proliferation. Sensitivity analyses are performed by varying the scale of the nuclear energy system owned and operated by a host state.