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MODELING CHAR OXIDATION AS A FUNCTION OF PRESSURE ...

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The size distribution function can be measured directly. The reactivity<br />

distribution function F A(A) is modeled as a gamma distribution function (Hurt et al.,<br />

1996):<br />

e − A<br />

−1<br />

FA(A) = A<br />

Γ(A)<br />

where and are the distribution parameters and Γ(A) is the gamma function. The<br />

gamma distribution has the following properties:<br />

75<br />

(6.21)<br />

A mean = / (6.22)<br />

A<br />

= / (6.23)<br />

More recent work (Hurt et al., 1998) suggests that a correlation can be used generally:<br />

A / A mean<br />

= 0.325 (6.24)<br />

Eqs. (6.22) through (6.24) suggest that is a constant value 9.47. When A mean is<br />

specified, can be readily calculated from = /A mean = 9.47/A mean.<br />

The distribution of the initial carbon density determines the amount of carbon to<br />

be consumed in the complete burnout process. Recent measurements on a U.S. lignite<br />

using a unique electrodynamic balance technique (Hurt et al., 1996) yielded an<br />

approximate Gaussian distribution of carbon densities with a standard deviation given by:<br />

/ c,o ,mean<br />

= 0.3 (6.25)<br />

The mean values ( c,o,mean) for ten U.S. coal chars are available (Mitchell et al., 1992).<br />

Statistical kinetics and properties seem to play an important role in certain cases.<br />

However, incorporating statistical kinetics and properties could dramatically increase the<br />

required computer time to predict the carbon burnout. For example, a typical full

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