Spatially-variant isotope production burnup modeling in a CANDU-6 reactor for nuclear treaty monitoring
•Burnup results produced complex actinide spatial distributions.•New methodology can be used for nuclear treaty monitoring.•Abundance of 237 isotopes in spent fuel are reported for a CANDU-6 burnup model. A CANDU-6 nuclear reactor is modeled as a 3D quarter-core model using Monte-Carlo and burnup te...
Gespeichert in:
Veröffentlicht in: | Annals of nuclear energy 2022-04, Vol.168, p.108901, Article 108901 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | •Burnup results produced complex actinide spatial distributions.•New methodology can be used for nuclear treaty monitoring.•Abundance of 237 isotopes in spent fuel are reported for a CANDU-6 burnup model.
A CANDU-6 nuclear reactor is modeled as a 3D quarter-core model using Monte-Carlo and burnup techniques to quantify the spatially-variant isotope production for Nuclear Treaty Monitoring applications. Fuel shuffling and refueling techniques were applied in conjunction with the Monte-Carlo and burnup techniques to simulate the realistic operations of a CANDU-6 reactor. The methods developed serve as a prototype for spatially-variant spent fuel analysis for reactors of interest for non-proliferation. A comprehensive, spatially-dependent database of isotopic concentration distributions in spent fuel from a CANDU-6 reactor was developed for the top 237 isotopes expected from CANDU-6 spent fuel. Isotopic ratios of actinides, a common technique used to assess material origin, were determined to have complex distributions dependent on their position within the reactor. Confidence intervals of 67%, 95%, and 99% for common isotopic ratios are presented. For example, the 3-σ confidence interval for 239Pu/240Pu is 1.049-2.599, a significant variance. The database and the methods developed in this work set the framework for future reactor modeling for nuclear treaty monitoring. |
---|---|
ISSN: | 0306-4549 1873-2100 |
DOI: | 10.1016/j.anucene.2021.108901 |