Modeling Transportation Risk for Spent Nuclear Fuel

Spent nuclear fuel (SNF) transportation is a critical aspect of nuclear energy infrastructure. This paper introduces a Monte Carlo-based computational approach to assess the risk associated with SNF transportation, including low-probability, high-consequence events. The SNF Transportation Risk (SNFTR) code developed is presented; furthermore, this paper outlines its foundational assumptions. The SNFTR code provides a concise visualization of simulation results, offering a risk assessment and a risk communication tool. The SNFTR code empowers local communities to autonomously evaluate transportation risks in the current nuclear power system, essential as the U.S. federal government advances plans for SNF storage. This computational modeling approach enhances transparency and technical understanding, facilitating informed decision-making and fostering confidence in SNF trans-portation safety.

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.21872/2024iise_6713
Primary Topic
Nuclear and radioactivity studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling Transportation Risk for Spent Nuclear Fuel

Brandon Costelloe‐Kuehn, James Olson, Adam Kraus, Li Liu et al.
Nuclear and radioactivity studies
article

Modeling Transportation Risk for Spent Nuclear Fuel

Brandon Costelloe‐Kuehn, James Olson, Adam Kraus, Li Liu, William A. Wallace
article en

Abstract

Spent nuclear fuel (SNF) transportation is a critical aspect of nuclear energy infrastructure. This paper introduces a Monte Carlo-based computational approach to assess the risk associated with SNF transportation, including low-probability, high-consequence events. The SNF Transportation Risk (SNFTR) code developed is presented; furthermore, this paper outlines its foundational assumptions. The SNFTR code provides a concise visualization of simulation results, offering a risk assessment and a risk communication tool. The SNFTR code empowers local communities to autonomously evaluate transportation risks in the current nuclear power system, essential as the U.S. federal government advances plans for SNF storage. This computational modeling approach enhances transparency and technical understanding, facilitating informed decision-making and fostering confidence in SNF trans-portation safety.

Openalex Percentile: Top 63%
Nuclear and radioactivity studies
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