Report on Intact and Degraded Criticality for Selected Plutonium Waste Forms in a Geologic Repository
| Attachment | Size |
|---|---|
| BBA000000-01717-5705-00020_MOL.19981207.0324.pdf (3.18 MB) | 3.18 MB |
| BBA000000-01717-5705-00020_MOL.19981207.0359.pdf (2.5 MB) | 2.5 MB |
As part of the plutonium waste form development and down-select process, repository analyses have been conducted to evaluate the long-term performance of these forms for repository acceptance. Intact and degraded mode criticality analysis of the mixed oxide (MOX) spent fuel is presented in Volume I, while Volume II presents the evaluations of the waste form containing plutonium immobilized in a ceramic matrix.
Although the ceramic immobilization development program is ongoing, and refinements are still . Being developed and evaluated, this analysis provides value through quick feedback to this development process, and as preparation for the analysis that will be conducted starting in fiscal year (FY) 1999 in support of the License Application.
While no MOX fuel has been generated in the United States using weapons-usable plutonium, Oak Ridge National Laboratory (ORNL) has conducted calculations on Westinghouse-type reactors to determine the expected characteristics of such a fuel. These spent nuclear fuel (SNF) characteristics have been used to determine the long-term potential for criticality in a repository environment.
In all instances the methodology and scenarios used in these analyses are compatible with those developed and used for Commercial Spent Nuclear Fuel (CSNF) and Defense High Level Waste (DHLW), as tailored for the particular characteristics of the waste forms. This provides a common basis for comparison of the results.
This analysis utilizes dissolution, solubility, and thermodynamic data that are currently available. Additional data on long-term behavior is being developed, and later analyses (FY 99) to support the License Application will use the very latest information that has been generated. Ranges of parameter values are considered to reflect sensitivity to uncertainty. Most of the analysis focuses on those parameter values that produce the worst case results, so that potential licensing issues can be identified.
