University of Illinois Urbana-Champaign
A new non-proliferation risk model for small nuclear reactors
Abstract
dc:descriptionA novel Bayesian Network model is developed to assess proliferation risk in Small Modular Nuclear Reactors (SMRs). The model accounts for various risks and provides a key repeatable and comparative risk index for current, proposed, and future SMRs being deployed to a selected use case and country. The model utilizes Bayesian networks to create a probabilistic graphical model composed of conditional dependencies representing key nonproliferation factors. The main factors include those related to specific reactor technology, the overall facility, and the deployment location. Notably, in addition to the reactor itself, the country, location type, and use case application are factored into each deployment scenario’s overall risk. A comprehensive review of key proliferation factors is conducted, and Bayesian network modeling is selected as a novel approach to quantify proliferation risk by generating a comparative risk index for current and future SMR deployments. The quantitative risk index is then normalized and scaled to provide a clear metric and assist a policymaker in deciding whether to deploy a reactor in a specific scenario. The model is applied to various scenarios, demonstrating the risk for different SMRs across a variety of inputs. The model is further applied to compare the deployment of a current SMR across a range of countries in distinct geographic regions, each with differing levels of nuclear experience and political stability. The risk model will contribute to ensuring nuclear nonproliferation, while enabling the sustainable deployment of advanced nuclear technologies.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Nuclear, Plasma, Radiolgc Engr
- Grantor
- University of Illinois Urbana-Champaign
- Year dc:date
- 2025
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Dubinsky, Igor V
- Contributors dc:contributor
-
- Uddin, Rizwan
- Singer, Clifford E
- Perdekamp, Matthias G
- Kozlowski, Tomasz
Subjects
dc:subject × 3Rights
dc:rights- Statement dc:rights
-
- Copyright 2025 Igor Dubinsky
- Language dc:language
- en, eng
Identifiers
dc:identifier.*- Handle dc:identifier
- https://hdl.handle.net/2142/129752