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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Summary and Conclusions The uncorrected and corrected general asymptotic solutions of the effectiveness factors for the m-th order rate equations and the Langmuir rate equation are summarized in Table 4.10. The Thiele modulus approach for treating the effects of diffusion of oxidizer through a porous particle was originally developed for 1 st order intrinsic reactions, and later extended to arbitrary reaction rate forms. However, comparisons with detailed numerical models show that the methods generally used for m-th order reactions lead to errors as large as 17% for spherical particles. The Langmuir rate expression, currently being considered for modeling high pressure char reactions, incurred similar errors when pore diffusion effects were treated with the standard approach. These errors arise because an exact expression relating the effectiveness factor ( ) to the Thiele modulus (M T) for first order reaction (m = 1) is generally used for all rate forms. Based on the pattern of error, indicating maximum errors at M T = 0.707, a correction function was developed for both the m-th order rate equation and the Langmuir rate equation. This "corrected general asymptotic solution" has a maximum error of 2% over the entire range of M T (including Zone I, Zone II and especially the transition zone). It uses explicit analytical expressions to predict the effectiveness factor, and therefore is particularly suitable for repeated use in comprehensive computer codes. Two empirical moduli with simpler mathematical forms were found to be good approximations for the standard general modulus for the Langmuir rate equation. These two moduli avoid the problems with the standard modulus for the Langmuir rate equation (when KC s approaches zero) without increasing the maximum error of the uncorrected 42

general asymptotic solution. An archival paper has been accepted for publication based upon the work reported in this chapter (Hong et al., 2000a). Recommendations The reactions considered in this study are limited to irreversible, isothermal reactions with no volume change. In addition, the Langmuir rate equation is limited to the simplest form. There exist techniques to extend solutions developed for these relatively simple reactions to reversible reactions (Schneider and Mitschka, 1966), reactions with volume change (Bischoff, 1965), and reactions described by more general Langmuir- Hinshelwood forms (Peterson, 1957; Roberts and Satterfield, 1965; Schneider and Mitschka, 1966). The corrected general asymptotic solution of the effectiveness factor (Eq. 4.20) may be applied to other reaction rate forms. 43

Summary and Conclusions<br />

The uncorrected and corrected general asymptotic solutions of the effectiveness<br />

factors for the m-th order rate equations and the Langmuir rate equation are summarized<br />

in Table 4.10. The Thiele modulus approach for treating the effects of diffusion of<br />

oxidizer through a porous particle was originally developed for 1 st order intrinsic<br />

reactions, and later extended to arbitrary reaction rate forms. However, comparisons with<br />

detailed numerical models show that the methods generally used for m-th order reactions<br />

lead to errors as large as 17% for spherical particles. The Langmuir rate expression,<br />

currently being considered for modeling high pressure char reactions, incurred similar<br />

errors when pore diffusion effects were treated with the standard approach. These errors<br />

arise because an exact expression relating the effectiveness factor ( ) to the Thiele<br />

modulus (M T) for first order reaction (m = 1) is generally used for all rate forms. Based on<br />

the pattern of error, indicating maximum errors at M T = 0.707, a correction function was<br />

developed for both the m-th order rate equation and the Langmuir rate equation. This<br />

"corrected general asymptotic solution" has a maximum error of 2% over the entire range<br />

of M T (including Zone I, Zone II and especially the transition zone). It uses explicit<br />

analytical expressions to predict the effectiveness factor, and therefore is particularly<br />

suitable for repeated use in comprehensive computer codes.<br />

Two empirical moduli with simpler mathematical forms were found to be good<br />

approximations for the standard general modulus for the Langmuir rate equation. These<br />

two moduli avoid the problems with the standard modulus for the Langmuir rate equation<br />

(when KC s approaches zero) without increasing the maximum error of the uncorrected<br />

42

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