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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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NECX debut: Shaping the next era of energy
The sold-out inaugural Nuclear Energy Conference & Expo (NECX) got off to a roaring start in Atlanta, Ga., Tuesday morning with an opening plenary that was a live highlight reel discussing the latest industry achievements.
Starting with a lively promo video that left the audience amped up for Entergy’s CEO and NEI chair Drew Marsh, who welcomed everyone to the event, hosted jointly by the American Nuclear Society and the Nuclear Energy Institute. He spoke to a full house of more than 1,300 attendees, promising a blend of science, technology, policy, and advocacy centered around the future of nuclear energy.
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.