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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coal-general kinetic rate constants instead of the coal-specific and condition-specific constants used in the global models. Intrinsic models vary in levels of sophistication and can be classified into two subcategories: macroscopic and microscopic (Laurendeau, 1978; Reade, 1996). Macroscopic models use average properties of the particle to estimate the effective diffusivity in the porous structures in the char particle, and usually do not model the evolution of pore structure with burnout. In other words, macroscopic models assume spatially uniform properties (porosity, pore size and surface reactivity) and temporally invariant pore structures. Spatially uniform properties are required to solve for the analytical solutions of the effectiveness factor, which saves substantial computational time over the numerical solutions. Microscopic models involve the development of a reaction model for a single pore and then the prediction of the overall particle reactivity by an appropriate statistical description of the pore size distribution (Laurendeau, 1978). Microscopic models use a pore structure model to approximate the spatial and temporal variations in local diffusivity, pore structure, and surface area. If the pore structure is not allowed to change with conversion, and the properties of particle are assumed to be uniform, then the microscopic approach becomes equivalent to the macroscopic approach. Microscopic models have the potential to capture the effects of burnout on reactivity. However, these models are numerically combersome and generally less desirable as submodels in comprehensive combustion codes (Cope, 1995). Microscopic models can be further classified into discrete and continuum models, depending on whether the pore space and solid are treated as discrete phases or as continuum phases (Sahu et al., 1989; Sahimi, 1990). Generally, the discrete models are 8

too complicated for practical use and therefore are seldom used. Several continuum, microscopic models were reviewed by Smith et al. (1994). Stoichiometry of the Carbon-Oxygen Reaction CO and CO 2 are two possible products of char oxidation. The overall reactions leading to these two products are, respectively, C + O 2 → CO 2 + ΔH 1 C + 1 2 O 2 → CO + ΔH 2 9 (2.1) (2.2) where H 1 and H 2 are the heats of reaction for Reactions 2.1 and 2.2. If the fraction of carbon converted to CO 2 is denoted as , the overall carbon-oxygen reaction can be expressed as 1 + C + 2 O2 → CO2 + (1 − )CO + ΔH1 + (1 − )ΔH 2 (2.3) The stoichiometric coefficient of oxygen in the above equation is denoted as o . That is, o = 1+ 2 (2.4) The fraction of carbon converted to CO 2 ( ) is often calculated from the CO/CO 2 product ratio, which is often empirically correlated with an Arrhenius equation (Arthur, 1951; Tognotti et al., 1990; Mitchell et al., 1992): CO CO 2 = 1 − = Ac exp(− Ec ) (2.5) RTP The stoichiometric coefficient of oxygen represents a major uncertainty in modeling char oxidation.

coal-general kinetic rate constants instead of the coal-specific and condition-specific<br />

constants used in the global models.<br />

Intrinsic models vary in levels of sophistication and can be classified into two<br />

subcategories: macroscopic and microscopic (Laurendeau, 1978; Reade, 1996).<br />

Macroscopic models use average properties of the particle to estimate the effective<br />

diffusivity in the porous structures in the char particle, and usually do not model the<br />

evolution of pore structure with burnout. In other words, macroscopic models assume<br />

spatially uniform properties (porosity, pore size and surface reactivity) and temporally<br />

invariant pore structures. Spatially uniform properties are required to solve for the<br />

analytical solutions of the effectiveness factor, which saves substantial computational<br />

time over the numerical solutions. Microscopic models involve the development of a<br />

reaction model for a single pore and then the prediction of the overall particle reactivity<br />

by an appropriate statistical description of the pore size distribution (Laurendeau, 1978).<br />

Microscopic models use a pore structure model to approximate the spatial and temporal<br />

variations in local diffusivity, pore structure, and surface area. If the pore structure is not<br />

allowed to change with conversion, and the properties of particle are assumed to be<br />

uniform, then the microscopic approach becomes equivalent to the macroscopic<br />

approach. Microscopic models have the potential to capture the effects of burnout on<br />

reactivity. However, these models are numerically combersome and generally less<br />

desirable as submodels in comprehensive combustion codes (Cope, 1995).<br />

Microscopic models can be further classified into discrete and continuum models,<br />

depending on whether the pore space and solid are treated as discrete phases or as<br />

continuum phases (Sahu et al., 1989; Sahimi, 1990). Generally, the discrete models are<br />

8

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