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DOE OSTI · 3029263

Improving Dose Modeling With Dynamic Modeling Tools [Slides]

Holladay, Brenton Samuel [Idaho National Laboratory (INL), Idaho Falls, ID (United States)]
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Abstract

Utilities aiming for higher fuel enrichment for power uprates or extended operation times before refueling must conduct a new dose analysis. Current conservative dose estimation standards may cause utilities to exceed regulatory limits for proposed increased fuel enrichment. A more accurate modeling of doses from reactor accidents can lower these conservative assumptions. Prescott et al. (2022) demonstrated that the Event Modeling Risk Assessment using Linked Diagrams (EMRALD) software tool, developed at Idaho National Laboratory (INL), can be coupled with the Modular Accident Analysis Program (MAAP5) for dynamic accident analysis in reactor plants. EMRALD forms models of potential accident scenarios, while MAAP5 simulates the accident progression and dose consequences. By integrating these software tools with utility-specific data, a more precise estimation of dose consequences from plant accidents can be achieved. Preliminary findings indicate that EMRALD provides accurate mean core damage frequencies for generalized accident scenarios. Future work includes expanding the model to account for plant-specific data and mitigation factors.

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Holladay, Brenton Samuel [Idaho National Laboratory (INL), Idaho Falls, ID (United States)]. 2025-06-30. Improving Dose Modeling With Dynamic Modeling Tools [Slides]. https://doi.org/10.2172/3029263

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