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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d 2 C 2 dC 2 + dr r dr O ′ ′ − r in (C) = 0 (4.4) De where r in ′ is the molar carbon consumption rate per unit particle volume as a function of C, D e is the effective diffusivity, O is the stoichiometric coefficient of oxygen for each mole of carbon consumed in the reaction, C is the local oxygen concentration as a function of r, and r is the radial distance from the origin. The boundary conditions are and C = C s, at r = r s dC dr 30 (4.5) = 0 , at r = 0. (4.6) Substituting the Langmuir rate equation into Eq. (4.4) and normalizing the resulting equation lead to: d 2 2 d 2 + d d − r 2 s k1 De 1+ KCs = 0 (4.7) where = C/C s , and = r/r s. If an intermediate modulus is defined as: M 1 = r s 3 k 1 D e Eq. (4.7) can be re-written as: d 2 2 d 2 + d d − 9M 2 1 1 + KCs . (4.8) = 0 . (4.9) By using similar techniques of Patankar (1980) and central differences for first and second order derivatives, Eq. (4.9) is discretized to: where a P i = a E i + 1 + a W i −1 + b , i = 2, 3, 4, …, N (4.10) a E = a W = 1 1 + (i +1) − (i) (i) 1 1 − (i) − (i −1) (i) , (4.11a) , (4.11b) a P = a W + a E , (4.11c)

2 [ (i +1) − (i − 1)] i b = −9M1 2 1+ KCs i 31 , (4.11d) and N + 1 is the number of grid points in the radial coordinate in this model (therefore the spherical particle is divided into N layers). The boundary conditions are: n+1 1 = 2 =1, (4.12a) . (4.12b) For m-th order rate equations, the discretization equations are the same as Eq. (4.10) and Eq. (4.11) except that Eq. (4.8) and (4.11d) are replaced by: M 1 = r s 3 m −1 kmCs De 2 [ (i +1) − (i − 1)] b = −9M1 2 , (4.13) m i . (4.14) As mentioned previously, in Zone II the effectiveness factor is approximately 1/M T. Therefore as M T gets large, only a small fraction (can be roughly estimated as 1/M T) of the radial particle layers are accessible to oxygen. To maintain the accuracy of the model, the number of layers into which the particle is divided must be increased linearly with M T. However, when the number of layers is too large, the computation is very slow and the round-off errors may prevent further improvement of accuracy through grid refinement. The number of layers N in the radial coordinate was chosen to be: N = max( 150,150 MT ) . (4.15) Non-uniform gridding was used, where each layer was given the same volume (V p/N), in order to reduce numerical errors.

2 [ (i +1) − (i − 1)] i<br />

b = −9M1 2 1+ KCs i<br />

31<br />

, (4.11d)<br />

and N + 1 is the number of grid points in the radial coordinate in this model (therefore the<br />

spherical particle is divided into N layers). The boundary conditions are:<br />

n+1<br />

1 = 2<br />

=1, (4.12a)<br />

. (4.12b)<br />

For m-th order rate equations, the discretization equations are the same as Eq. (4.10) and<br />

Eq. (4.11) except that Eq. (4.8) and (4.11d) are replaced by:<br />

M 1 = r s<br />

3<br />

m −1<br />

kmCs De 2 [ (i +1) − (i − 1)]<br />

b = −9M1 2<br />

, (4.13)<br />

m<br />

i . (4.14)<br />

As mentioned previously, in Zone II the effectiveness factor is approximately 1/M T.<br />

Therefore as M T gets large, only a small fraction (can be roughly estimated as 1/M T) of the<br />

radial particle layers are accessible to oxygen. To maintain the accuracy of the model, the<br />

number of layers into which the particle is divided must be increased linearly with M T.<br />

However, when the number of layers is too large, the computation is very slow and the<br />

round-off errors may prevent further improvement of accuracy through grid refinement.<br />

The number of layers N in the radial coordinate was chosen to be:<br />

N = max( 150,150 MT ) . (4.15)<br />

Non-uniform gridding was used, where each layer was given the same volume (V p/N), in<br />

order to reduce numerical errors.

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