Nuclear fuel cycle sensitivity to the variation of physical parameters

Abstract

This study presents a development of a modeling platform and a supporting sensitivity study for identifying near-optimal scenarios of fuel cycle development. Modifications to our existing integrated fuel cycle systems analysis model are described to support this study and results of sensitivity analysis are presented. Results indicated that separation efficiencies of key tansuranic (TRU) nuclides from reactors have the largest impact on the fuel cycle performance. Limitations of the present work and future directions are discussed.