MODELING CHAR OXIDATION AS A FUNCTION OF PRESSURE ...
MODELING CHAR OXIDATION AS A FUNCTION OF PRESSURE ...
MODELING CHAR OXIDATION AS A FUNCTION OF PRESSURE ...
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= q obs<br />
q max<br />
The factor can be used as a criterion of whether combustion occurs in Zone III.<br />
12<br />
(2.15)<br />
Combustion is considered occurring in Zone III when the factor is close to unity. For<br />
example, Mitchell et al. (1992) set this threshold at 0.9. Of course, the factor is<br />
affected by the stoichiometric coefficient of oxygen ( o), which lies between 0.5 and 1 and<br />
is sometimes difficult to determine accurately.<br />
The Global n-th Order Rate Equation<br />
An empirical n-th order rate equation is often used to describe kinetics of char<br />
oxidation at typical industrial boiler temperatures (Smith, 1982; Hurt and Mitchell, 1992;<br />
Monson et al., 1995). The most common form of the n-th order rate equation<br />
is<br />
n −Eobs qrxn = k sPos = Aexp(<br />
RT p<br />
n<br />
)Pos , (2.16)<br />
where q rxn is the global char oxidation rate in gram C per unit time per unit external surface<br />
area, n is the apparent reaction order, Pos is the oxygen partial pressure at the external<br />
surface, A is the pre-exponential factor, E obs is the observed activation energy, T p is the<br />
particle temperature in K. This simple equation provides a basis for estimating char<br />
oxidation rates, and has often been adequate for practical use at atmospheric pressure over<br />
small temperature ranges (Smoot and Smith, 1985). Due to its simplicity, this equation is<br />
often used in comprehensive computer models. However, the global n-th order rate<br />
equation does not explicitly account for pore diffusion effects on kinetics. Pore diffusion<br />
effects are implicitly included in the observed activation energy and the pre-exponential<br />
factor. One weakness of this equation is that it cannot be extrapolated between Zone I<br />
and Zone II. In addition, the reaction order is often observed to vary as experimental