| Issue |
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
|
|
|---|---|---|
| Article Number | 04004 | |
| Number of page(s) | 6 | |
| Section | Monte Carlo Transport | |
| DOI | https://doi.org/10.1051/epjconf/202124704004 | |
| Published online | 22 February 2021 | |
https://doi.org/10.1051/epjconf/202124704004
THE DOUNREAY FAST REACTOR VAULT CHARACTERISATION USING THE MONTE CARLO N-PARTICLE CODE AS A TOOL TO SUPPORT DECOMMISSIONING PLANNING
Dounreay Site Restoration Ltd Dounreay, Thurso, KW14 7TZ
Vittoria.baldioli@dounreay.com
Richard.gunn@dounreay.com
Sanders.macDonald@dounreay.com
Aly.mackay@dounreay.com
Published online: 22 February 2021
A combined empirical and theoretical characterisation approach was taken in order to investigate the activity distribution and inventory in the Dounreay Fast Reactor (DFR) vault, so as to aid with the decommissioning and waste management strategy of the cooling circuits located within the shielded vault. The DFR vault is a no-man access, shielded void, which surrounds the reactor core and the graphite shield.
Empirical data was collected through various Non-Destructive Assay methods, utilising all available accesses into the reactor vault. This collection of information was then used to make a first assumption about the activity distribution within the vault; this was then included into a MCNP model of the vault as the source terms.
The model was run and a dose rate map of the vault obtained, and compared to the empirical dose rate data previously gathered in the accessible penetrations in the vault; the model was altered until a satisfactory agreement was obtained between theoretical and measured data.
Once this was obtained then, the model was used to provide an estimate of the activity inventory within the vault, and specifically within the various reactor components.
Key words: MCNP / Decommissioning / Fast Reactor
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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