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The FuTure oF nuclear Fuel cycle - MIT Energy Initiative

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Figure 3a.2 elasticity of uranium resources with respect to ore Grade<br />

0<br />

-0.5<br />

s = 0.39 In x - 0.55<br />

minus s, Semi-empirical elasticity (% per %)<br />

-1<br />

-1.5<br />

-2<br />

-2.5<br />

-3<br />

-1.25 Analytical Approximation<br />

-1.61<br />

-1.88<br />

-2.03<br />

-2.15<br />

-2.50<br />

-2.78<br />

-2.93 -3.05<br />

-3.40<br />

Numerical Solution<br />

-3.5<br />

-4<br />

100 1000 10000 10000c<br />

uranium ore Grade (ppm)<br />

C G i<br />

` =<br />

Cr Gr<br />

`j j<br />

[2]<br />

in which<br />

i= n<br />

` -a<br />

s<br />

j<br />

where<br />

n = economy of scale exponent (typically 0.7)<br />

α = learning exponent: ln(f/100) / ln2<br />

(hence 0.23 for f = 85%)<br />

In Eq. [2] Cr and Gr are reference (start of interval) values: for example, $/kg U NAT and cumulative<br />

gigawatt years of electric energy generation, respectively. Note that G can also be<br />

expressed as cumulative uranium consumption, since we assume a constant proportionality<br />

of 200 MT/GWe-yr at full power.<br />

It should be evident that extrapolation into an ill-defined future is not properly a deterministic<br />

undertaking. Hence, following the lead in a similar effort in 1980 by Starr and Braun of<br />

EPRI, a probabilistic approach was adopted [4].<br />

appendix to chapter 3: Formulation of cost/cumulative resource elasticity Model 145

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