CX-019000: Integration of Nuclear Material Accounting Data and Process Monitoring Data for Improvement on Detection Probability in Safeguarding Electrochemical Processing Facilities – Oregon State University

Oregon State University, in collaboration with Virginia Tech University, proposes to (1) develop accurate predictive models for converting electrochemical sensor signals into material concentrations in the molten salt while the electrorefiner is operating; (2) validate the developed sensor model via experiments, collect available data, and build databases for process monitoring and Nuclear Material Accounting data; (3) refine a previously developed dynamic electrorefiner model to include uncertainty analysis; (4) develop methods to predict near-real time radiation-based signatures using well-benchmarked Monte Carlo codes, in conjunction with our electrorefiner model, which allow generation of process monitoring residuals based on radiation-based non-destructive assay signals; and (5) utilize the Separations and Safeguards Performance Model to quantitatively study the benefits of the integration of Nuclear Material Accounting and process monitoring data based on output from our models.