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Gas Model

Dembele, S., Zhang, J., and Wen, J.X. Assessments of spectral narrow band and weighted-sum-of-gray-gases models for computational fluid dynamics simulations of pool fires. Numerical Heat Transfer Part B, 2005.48(3), 257-276. [Pg.582]

Gunter W. D., Perkins E. H., and Hutcheon I. D. (2000) Aquifer disposal of acid gases modeling of water-rock reactions for trapping of acid wastes. Appl. Geochem. 15, 1085-1095. [Pg.2421]

M. F. Modest, The Weighted Sum of Gray Gases Model for Arbitrary Solution Methods in Radiative Transfer, ASME Journal of Heat Transfer, 113, pp. 650-656,1991. [Pg.617]

M. K. Denison and B. W. Webb, The Spectral Line-Based Weighted-Sum-of-Gray-Gases Model— A Review, in M. E Mengii (ed.), Radiative Transfer—I Proceedings of the First International Symposium on Radiative Transfer, Begell House, New York, pp. 193-208,1996. [Pg.618]

Perkins, E. H. Gunter, W. D. 1995. Aquifier disposal of C02-rich greenhouse gases Modelling of water-rock reaction paths in a siliciclastic aquifier. In Kharaka, Y. K. Chudaev, O. V. (eds) Proceedings of the 8th International Symposium on Water-Rock Interaction - WRI-8. Balkema, Rotterdam, 895-898. [Pg.130]

Fig. 12.3. A carbonating tower in the ammonia-soda process, 69 feet high and 6 feet in diameter. (1) Entry for ammoniated brine, used when the tower is being cleaned (2) entry for the ammoniated brine for the regular bicarbonate precipitation (3) and (4) carbon dioxide entries (5) outlet for bicarbonate slurries (6) cooling water inlet (7) cooling water outlet (8) escape for uncondensed gases. (Modeled after Kirschner.)... Fig. 12.3. A carbonating tower in the ammonia-soda process, 69 feet high and 6 feet in diameter. (1) Entry for ammoniated brine, used when the tower is being cleaned (2) entry for the ammoniated brine for the regular bicarbonate precipitation (3) and (4) carbon dioxide entries (5) outlet for bicarbonate slurries (6) cooling water inlet (7) cooling water outlet (8) escape for uncondensed gases. (Modeled after Kirschner.)...
Simple metals like alkalis, or ones with only s and p valence electrons, can often be described by a free electron gas model, whereas transition metals and rare earth metals which have d and f valence electrons camiot. Transition metal and rare earth metals do not have energy band structures which resemble free electron models. The fonned bonds from d and f states often have some strong covalent character. This character strongly modulates the free-electron-like bands. [Pg.129]

Salsburg Z W, Jacobson J D, Fickett W and Wood W W 1959 Application of the Monte Carlo method to the lattice gas model. Two dimensional triangular lattice J. Chem. Phys. 30 65-72... [Pg.2280]

The second type of approach to flux modeling, the so-called "dusty gas model," is developed in Chapter 3. In view of its completely different physical basis it is remarkable that its predictions are in complete agreement with those of the capillary model. [Pg.3]

To obtain equations describing the dusty gas model, equations (3.1) must be applied to a pseudo mixture of (n+1) species, in which the extra species, numbered n+1, represents the dust. We must also require... [Pg.20]

These are the flux relations associated with the dusty gas model. As explained above, they would be expected to predict only the diffusive contributions to the flux vectors, so they should be compared with equations (2.25) obtained from simple momentum transfer arguments. Equations (3,16) are then seen to be just the obvious vector generalization of the scalar equations (2.25), so the dusty gas model provides justification for the simple procedure of adding momentum transfer rates. [Pg.23]

The relation between the dusty gas model and the physical structure of a real porous medium is rather obscure. Since the dusty gas model does not even contain any explicit representation of the void fraction, it certainly cannot be adjusted to reflect features of the pore size distributions of different porous media. For example, porous catalysts often show a strongly bimodal pore size distribution, and their flux relations might be expected to reflect this, but the dusty gas model can respond only to changes in the... [Pg.24]

Thermal transpiration and thermal diffusion effects have been neglected in developing the dusty gas model, and will be neglected throughout the rest of the text. The physics of these phenomena and the justification for neglecting them are discussed in some detail in Appendix I. [Pg.24]

The complete problem with composition gradients as well as a pressure gradient, may be regarded as a "generalized Poiseuille problem", and its Solution would be valuable for comparison with the limiting form of the dusty gas model for small dust concentrations. Indeed, it is the "large diameter" counterpart of the Knudsen solution in tubes of small diameter. [Pg.25]

This determines the total flux at the li/nic of viscous flow. Equations (5.18 and (5.19) therefore describe the limiting form of the dusty gas model for high pressure or large pore diameters -- the limit of bulk diffusion control and viscous flow,... [Pg.39]

Finally, before leaving our exploration of the dusty gas model, we must compare the large pore (or high pressure) limiting form of its flux relations with the corresponding results derived in Chapter 4 by detailed solution of the continuum equations in a long capillary. The relevant equations are (4,23) and (4,25), to be compared with the corresponding scalar forms of equations (5.23) and (5.24). Equations (4.25) and (5.24).are seen to be identical, while (4,23) and (5.23) differ only in the pressure diffusion term, which takes the form... [Pg.48]

It is interesting to note that the dusty gas model equations also... [Pg.53]

To appreciate the questions raised by Knudsen s results, consider first the relation between molar flow and pressure gradient for a pure gas flowing through a porous plug, rather than a capillary. The form predicted by the dusty gas model can be obtained by setting = 1, grad = 0 in equation... [Pg.54]

One flux model for a porous medium—the dusty gas model- has already been described in Chapter 3. Although it is perhaps the most important and generally useful model currently available, it has certain shortcomings, and other models have been devised in attempts to rectify these. However, before describing these, we will review certain general principles to which all reasonable flux models must conform. [Pg.63]

When a model is based on a picture of an interconnected network of pores of finite size, the question arises whether it may be assumed that the composition of the gas in the pores can be represented adequately by a smooth function of position in the medium. This is always true in the dusty gas model, where the solid material is regarded as dispersed on a molecular scale in the gas, but Is by no means necessarily so when the pores are pictured more realistically, and may be long compared with gaseous mean free paths. To see this, consider a reactive catalyst pellet with Long non-branching pores. The composition at a point within a given pore is... [Pg.63]

These are equivalent to the dusty gas model equations, but are valid only for isobaric conditions, and this fact severely limits the capability of the model to represent Che behavior of systems with chemical reaction. To see this we need only remark that (8,7) and (3.8) together imply that ... [Pg.69]

Of course, these shortcomings of the Wakao-Smith flux relations induced by the use of equations (8.7) and (8.8) can be removed by replacing these with the corresponding dusty gas model equations, whose validity is not restricted to isobaric systems. However, since the influence of a strongly bidisperse pore size distribution can now be accounted for more simply within the class of smooth field models proposed by Feng and Stewart [49], it is hardly worthwhile pursuing this."... [Pg.70]

One of Che earliest examples of a properly conceived experimental investigation of the flux relations for a porous medium is provided by the work of Gunn and King [53] on the dusty gas model equations, and the following discussion is based largely on their work. Since all their experiments were performed on binary mixtures, the appropriate flux relations are (5.26) and (5,27). Writing... [Pg.89]

In summary, a combination of the plot based on equation (10.6), using any single substance, and determination of the asymptote (10.14), using any pair of substances, provides a sound means of evaluating the parameters K, tC and. Having found these, further experimental points on (10.6) and (10.15), and possibly also (10.7), provide a check on the adequacy of the dusty gas model. Provided attention is limited to binary mixtures, this check can be quite comprehensive. In their published paper Gunn and King... [Pg.93]

Though the solution procedure sounds straightforward, if tedious, practice difficulty is encountered immediately because of the implicit nature of the available flux models. As we saw in Chapter 5 even the si lest of these, the dusty gas model, has solutions which are too cumbersc to be written down for more than three components, while the ternary sol tion itself is already very complicated. It is only for binary mixtures therefore, that the explicit formulation and solution of equations (11. Is practicable. In systems with more than two components, we rely on... [Pg.111]

Hugo s approach can be extended without difficulty to apply throughout the whole range of pore sizes, but to accomplish this a specific and complete flux model must be used. To be definite we will assume that the dusty gas model is adequate, but the same reasoning could be applied to certain other models if necessary. The relevant flux relations are now equations (5.4). Applied to the radial flux components In one of our three simple geometries they take the form... [Pg.117]

T-Jhile the stoichiometric relations have rendered the above problem tractable by permitting an explicit solution of the dusty gas model flux relations, it should be pointed out that they do not lead to equally radical simplifications with all flux models. In the case of the Feng and Stewart models [49- for example, Che total flux of species r is formed by in-... [Pg.119]

A third approach is suggested by Hugo s formulation of material balances at the limit of bulk diffusion control, described in Section 11.3. Hugo found expressions for the fluxes by combining the stoichiometric conditions and the Stefan-Maxvell relations, and this led to no inconsistencies since there are only n - 1 independent Stefan-Maxwell relations for the n fluxes. An analogous procedure can be followed when the diffusion is of intermediate type, using the dusty gas model equations in the form (5.10) and (5.11). Equations (5.11), which have the following scalar form ... [Pg.135]

Let us compare computations of the effectiveness factor, using each of the three approximations we have described, with exact values from the complete dusty gas model. The calculations are performed for a first order reaction of the form A lOB in a spherical pellet. The stoichiometric coefficient 10 for the product is unrealistically large, but is chosen to emphasize any differences between the different approaches. [Pg.137]


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See also in sourсe #XX -- [ Pg.51 ]




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A general model of gas—solid reactions

Air-sea gas transfer models

Airy gas model

An ideal gas model

Application of Lattice Gas Model with Monte Carlo Simulation

Applications of Response Surface Techniques to Uncertainty Analysis in Gas Kinetic Models

Atmospheric gases transfer models

Autoignition models applied to the end gas

CFD Modeling of gas-solid

CFD Modeling of gas-solid reactors

CONTRASTE model, dissolved gases

Complete Mathematical Model of Electrochemical Gas Sensors

Complete Model—Gas and Condensed Phases

Complete-Mixing Model for Gas Separation by Membranes

Cross-Flow Model for Gas Separation by Membranes

Dispersion Model for Gas Synthesis Reactors

Dispersion models dense gases

Dusty Gas Model (DGM)

Dusty Gas Model for Multicomponent Diffusion

Economic Model Flue Gases

Electron gas model

Electronic gas model

Evaluation Methodologies for Dense Gas Dispersion Models

Extension of EMMS modeling to gas-liquid flow

FUNCTIONAL MODEL OF A TOXIC GAS MONITORING SYSTEM

Fermi-gas model

Free Electron Gas and the Jellium Model

Free electron gas model

Gas Mixture Model

Gas Model and Elementary Processes

Gas Model of a Binary Mixture

Gas Models of Chemisorbed Systems

Gas Phase Model

Gas and Percolation Models

Gas diffusion models

Gas flow model

Gas kinetic model

Gas model for

Gas permeation models, for perovskite

Gas permeation models, for perovskite membranes

Gas release modeling

Gas turbine modeling

Gas- -Liquid Mass Transfer Models

Gas-liquid reactor modelling

Gas-phase adsorption model studies

Gas-phase chemical models

Gas-solid reaction models

Gas/liquid reactor model

Gas/polymer matrix model

Ideal gas model

Interaction energies in lattice-gas models

Kinetic Molecular Theory A Model for Gases

Kinetic model for gas-solid non-catalytic reaction

Kinetic model of gas

Lattice Gas (LG) Model

Lattice gas models

Lattice-gas models two-component

Liquid-gas interface in the model of attracting hard spheres

Lorentz gas model

Mathematical Modeling of Gas-Solid Chromatography

Mathematical Models for Gas-Liquid-Solid Reactors

Mean field lattice gas model

Model for Membrane Separation of a Gas Mixture

Model for complex gas-phase reactions

Model of non-ideal lattice gas

Modeling Gas-Liquid Flow in Metallurgical Operations

Modeling gas production from hydrates

Modeling gas transport

Modeling of Gas Flows in Near-Nozzle Region

Modelling and design of gas-solid reactors

Modelling dynamic changes in headspace gas composition

Modelling gas and vapour migration

Models dusty gas

Models for Transfer at a Gas-Liquid Interface

Models for the packed-bubble-column gas-liquid reactors

Models of gases

NOBLE GAS MANTLE MODELS

Oriented gas model

Phase Modeling Tools . Applications to Gases, First Edition. Michel Soustelle

Pore Model for Membrane Gas Transport

Prediction of diffusion coefficients in gases, liquids, amorphous solids and plastic materials using an uniform model

Pressurant gas model

Rare gases models

Self-consistency of the lattice-gas model

Simple Lattice Gas Model

Site energies in lattice-gas models

Solution-Diffusion Model for Single Gas Transport

Solution-Diffusion Model for the Transport of Binary Gas Mixtures

Surface electron gas model

The Ideal Gas Model

The Ideal Model in Gas Chromatography

The Kinetic Model of Gases

The Kinetic-Molecular Theory A Model for Gas Behavior

The dusty gas model

The gas model and its phase

The van der Waals Gas Model

Theoretical Models of Gas-Liquid-Particle Operations

Theoretical ionic models—the modified electron-gas approach

Toxic Gas Model Ordinance

Toxic gas effect models

Toxic gases models

Two-Equation Model for Gas Adsorption

Two-Film Mass-Transfer Model for Gas-Liquid Systems

Uncertainty Analysis of Gas Kinetic Models

Unified Gas-Adsorbate Layer (UGAL) Model

Uniform electron gas model

Van der Waals gas model

Verification Adequacy of Mathematical Models to Real Gas Sensors

Warm pressurant gas model

Weighted Sum of Gray Gas (WSGG) Spectral Model

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