Back end options in the face of uncertainty

Economic optimization of the back end of the fuel cycle is discussed. On the basis of a simulation model of the LWR fuel cycles an optimum fuel cycle policy is obtained by searching the material flow or inventory at each fuel cycle step over a given planning period. The optimization algorithm employs mixed linear integer programming. A distinction is made between small and large nuclear power generating systems for which the optimum strategy is markedly different. Larger programmes naturally favour reprocessing. The effects of reduced forecasts are examined and found to represent an insignificant sensitivity to the basic decision on whether or when to reprocess. (author). 2 refs, 4 figs, 1 tab