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The FuTure oF nuclear Fuel cycle - MIT Energy Initiative

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Chapter 3 Appendix — Uranium Resource<br />

Elasticity Model<br />

Our conclusions on uranium costs versus cumulative production are based on a series of<br />

models where the results depend upon the input assumptions and the model. This appendix<br />

describes the mathematical models used in our analysis. <strong>The</strong> models can be used with different<br />

sets of assumptions.<br />

methodoloGy<br />

<strong>The</strong> approach adopted involved development of a price elasticity of cumulative uranium<br />

consumption based on Deffeyes’ model of reserves as a function of ore grade [1]. His work<br />

extended the log-normal model previously applied to individual mined deposits (e.g., by<br />

Krige for gold) [2] to the worldwide ensemble of deposits of uranium: See Figure A1. <strong>The</strong><br />

region of interest in the figure is on the left-hand side, above about 100 ppm uranium, below<br />

which grade the energy expended to extract the uranium will approach a significant fraction<br />

of that recoverable by irradiation of fuel in LWRs. Numerical integration of his log-normal<br />

frequency distribution gives cumulative reserves as a function of ore grade in ppm. This result<br />

can then be manipulated to yield the sought-for elasticity. Numerical analysis validated<br />

the following semi-analytic approximation in the range of interest (10 2 – 10 4 ppm).<br />

s =<br />

% increase in cumulative reserves<br />

% decrease in ore grade<br />

.<br />

r<br />

, nx v<br />

v<br />

2 v<br />

2 ; - + E<br />

2<br />

[1]<br />

where<br />

x = ore grade, ppm U<br />

appendix to chapter 3: Formulation of cost/cumulative resource elasticity Model 143

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