Detecting and Quantifying Diversion in an Experimental Aqueous Reprocessing Loop

Grey Batie - UC Berkeley
Vanessa Goss - UC Berkeley
Christopher Poresky - Kairos Power
Per Peterson - UC Berkeley
Rachel Slaybaugh - UC Berkeley
Kai Vetter - UC Berkeley
Bulk material handling facilities face unique safeguards challenges due to their continuous operation, high throughput, high radiation fields, large measurement uncertainties and variations in facility design. We have re-designed an experiment, the Next Generation Loop (NGL), to simulate movement of nuclear material in a generic aqueous reprocessing facility using water and commercially available radiotracers. The NGL can operate in a variety of configurations and boasts higher control of individual process streams compared to its predecessor, while employing both radiation and non-radiation sensors to observe and detect off-normal behavior. Off-normal behavior that can be simulated may include material holdup and diversion, which can correspond to plant inefficiencies, faults such as blockages or leaks, or unknown/unauthorized nuclear material streams. A model network was utilized to detect and quantity off-normal behavior. These results may help better safeguard existing bulk handling facilities and encourage the implementation of these methods in the safeguards by design approach for future facilities.