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MODELING CHAR OXIDATION AS A FUNCTION OF PRESSURE ...

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HP-CBK Model Development<br />

The HP-CBK differs from the CBK model in several aspects. First, the HP-CBK<br />

uses intrinsic Langmuir kinetics instead of global n-th order kinetics. Second, a pore<br />

structure model is incorporated in order to model the effective diffusivity inside the<br />

particle, which is required by the use of intrinsic kinetics. Third, new correlations are<br />

used for thermal and transport properties to accommodate high pressure situations. Last,<br />

general correlations are used for the Nusselt number and the Sherwood number in order to<br />

model char oxidation for both small and large particles.<br />

Kinetics<br />

The CBK model uses the global n-th order rate equation to represent the chemical<br />

kinetics (see Eq. 6.1). One weakness of this approach is that global kinetic parameters (A<br />

and E) cannot be extrapolated from low temperature (Zone I) to typical boiler<br />

temperature (Zone II) or vice versa. In addition, the reaction order is often observed to<br />

vary under different conditions, with limits of zero and unity.<br />

In order to model reaction rates over wide ranges of temperature and total gas<br />

pressure, it is necessary to use intrinsic kinetics with appropriate treatment of the pore<br />

diffusion effects. The HP-CBK model utilizes the intrinsic kinetics and allows users to<br />

choose either the Langmuir rate equation or the m-th order rate equation to describe char<br />

oxidation kinetics (as discussed in Chapter 5):<br />

qrxn = + S ⎛<br />

ext<br />

⎝<br />

⎜<br />

⎞<br />

⎟<br />

⎠<br />

Sint Stot S int<br />

S int<br />

k 1 p P s<br />

1+ K p P s<br />

d p M C<br />

6<br />

qrxn = + S ⎛<br />

ext<br />

⎝<br />

⎜<br />

⎞<br />

⎟<br />

⎠<br />

Sint m<br />

kmpPs Stot d pMC 6<br />

78<br />

(6.31)<br />

(6.32)

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