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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.
Manorma Kumar, Guillem Cortes Rossell
Nuclear Technology | Volume 211 | Number 4 | April 2025 | Pages 661-673
Review Article | doi.org/10.1080/00295450.2024.2356328
Articles are hosted by Taylor and Francis Online.
The paper is focused on how to apply the probabilistic safety assessment (PSA) methodology to assess the nuclear safety risks associated with the transportation of radioactive material. The methodology is comprehensive and covers the different modes of transport (for example, by road, by train, by ship, and by air) used for the transportation of radioactive material. The proposed methodology can be applied to any specific mode of transportation of radioactive material as well as to any specific country. This paper focuses on application of this methodology for transportation of radioactive material by train.
The systematic assessment starts with the identification of the risk associated with the transportation mode and its initiating events to analyze what can go wrong in the transportation of radioactive material and how likely it can be. An accident involving radioactive material has sensitive information, and such information is not publicly available. Therefore, generic accident data can be utilized to develop probabilistic models and quantify the risk associated with radioactive material transportation. Another fact is that radioactive material transportation accidents are extremely rare; hence, associated statistics are insufficient for the development of PSA models, so generic accident data can be used to predict accident frequency.
The paper explores the feasibility of using probabilistic methods to assess the safety risks associated with radioactive material transport. The paper describes how to perform a comprehensive probabilistic assessment and create a generic accident event tree that is based on train accident data. The focus of the event tree is to outline a range of different train accident scenarios and their respective probabilities of occurrence and their consequences.