MODELING CHAR OXIDATION AS A FUNCTION OF PRESSURE ...
MODELING CHAR OXIDATION AS A FUNCTION OF PRESSURE ... MODELING CHAR OXIDATION AS A FUNCTION OF PRESSURE ...
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.
- Page 1 and 2: MODELING CHAR OXIDATION AS A FUNCTI
- Page 3 and 4: BRIGHAM YOUNG UNIVERSITY As chair o
- Page 5 and 6: CBK model uses: 1) an intrinsic Lan
- Page 7 and 8: Table of Contents List of Figures..
- Page 9: Appendices.........................
- Page 12 and 13: Figure A.2. Mass releases of the Ko
- Page 14 and 15: Table 7.6. Parameters Used in Model
- Page 16 and 17: Ed activation energy of desorption,
- Page 18 and 19: vc the volume of combustible materi
- Page 21 and 22: Background 1. Introduction The rate
- Page 23: the CBK model developed at Brown Un
- Page 26 and 27: Zone III rate ∝ C og E obs → 0
- Page 30 and 31: Boundary Layer Diffusion The molar
- Page 32 and 33: = q obs q max The factor can be use
- Page 34 and 35: where k 1 and K are two kinetic par
- Page 36 and 37: particle can therefore be convenien
- Page 38 and 39: This is the first time that the gen
- Page 40 and 41: Data of Mathias Mathias (1996) perf
- Page 42 and 43: urn with shrinking diameters, and t
- Page 45 and 46: 3. Objectives and Approach The obje
- Page 47 and 48: Introduction 4. Analytical Solution
- Page 49 and 50: Task and Methodology Task One of th
- Page 51 and 52: 2 [ (i +1) − (i − 1)] i b = −
- Page 53 and 54: Table 4.1. The Relative Error * (%)
- Page 55 and 56: The resulting observations regardin
- Page 57 and 58: correction. The values of functions
- Page 59 and 60: Table 4.6. The Relative Error* (%)
- Page 61 and 62: Table 4.8. The Relative Error* (%)
- Page 63 and 64: general asymptotic solution. An arc
- Page 65 and 66: 5. Theoretical Developments The int
- Page 67 and 68: order of a reaction is usually dete
- Page 69 and 70: nobs = 1 (KCs ) 2 2 1 [KCs − ln(1
- Page 71 and 72: The observed reaction order in Zone
- Page 73 and 74: Bulk Diffusion vs. Knudsen Diffusio
- Page 75 and 76: where D K is in cm 2 /sec, r p is t
- Page 77 and 78: where T p is in K, P is in atm. The
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 />
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