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Comparison with Simpler Models

Model described by Eqs. (6-1) to (6-4) for adsorbents of monodisperse structure or additional Eqs. (6-33) to (6-35) are too complicated for analytical use. As a matter of fact, the model can include four rate parameters in addition to the adsorption equilibrium constant. Those equations finally give the solutions for the first absolute moment, pi, and the second central moment, pj. These two moments are only utilized in actual experiments. Therefore, it might be helpful if comparison is made between this model and the models which include only two parameters including the equilibrium constant. As two-parameter models, typical are 1) a dispersion model that includes axial dispersion coefficient as a sole rate parameter and 2) a two-phase exchange model which has a mass transfer coefficient as an only rate parameter. These two models are considered to be the two extremes of the complicated model used in the earlier section, hence the results of [Pg.144]

The relation between the parameters of these models and the first absolute moment and the second central moment of the pulse response of these models is given first then from the analytical solutions of these models, comparison of the shape of the elution curves are made. [Pg.145]

The basic equation is described by using the axial dispersion [Pg.145]

On the other hand the analytical solution to Eq. (6-55) (Levenspiel and Smith, 1957) has been shown as [Pg.145]

Fig 6 13 Comparison of dispersion model and two-phase exchange model. [Pg.146]


By comparison with the model of theoretical plates, this more recent approach also leads to the value for the height equivalent to one theoretical plate, H. Stated in a simpler way, any chromatogram that shows an elution peak with a temporal variance a2, permits the determination of H or, directly, the number of the theoretical plates N — L/H, which is called the theoretical efficiency for the compound under investigation. [Pg.12]

In this appendix, we show an alternative solution of Rouse model valid in the limit of long chains N—>>=o. It is less useful for comparison with stochastic models but is simpler and sometimes helpful to build up physical intuition. We start from eqn [21]... [Pg.177]

Adsorption of hard sphere fluid mixtures in disordered hard sphere matrices has not been studied profoundly and the accuracy of the ROZ-type theory in the description of the structure and thermodynamics of simple mixtures is difficult to discuss. Adsorption of mixtures consisting of argon with ethane and methane in a matrix mimicking silica xerogel has been simulated by Kaminsky and Monson [42,43] in the framework of the Lennard-Jones model. A comparison with experimentally measured properties has also been performed. However, we are not aware of similar studies for simpler hard sphere mixtures, but the work from our laboratory has focused on a two-dimensional partly quenched model of hard discs [44]. That makes it impossible to judge the accuracy of theoretical approaches even for simple binary mixtures in disordered microporous media. [Pg.306]

Multi-environment presumed PDF models can also be easily extended to treat cases with more than two feed streams. For example, a four-environment model for a flow with three feed streams is shown in Fig. 5.24. For this flow, the mixture-fraction vector will have two components, 2 and 22- The micromixing functions should thus be selected to agree with the variance transport equations for both components. However, in comparison with multi-variable presumed PDF methods for the mixture-fraction vector (see Section 5.3), the implementation of multi-environment presumed PDF models in CFD calculations of chemical reactors with multiple feed streams is much simpler. [Pg.251]

The rates of the elementary reactions have been chosen in accordance with experimental findings, whenever this was possible. For a comparison with experimental data, see for example reference [76]. In total, the model contains 51 reactions, fourteen of which involve four sites or more. The values for the reaction rates chosen in our model are shown in Table 1. Note that the rate constant for diffusion is in fact a hopping frequency, because we have modeled diffusion as a hopping process. Compared to realistic values, the diffusion rate is very low realistic rates are about five orders of magnitude faster. High diffusion rates can only be simulated with much simpler models and smaller simulation grids than we have used in our simulations. [Pg.766]

Many of the general methods described herein make use of comparisons of NMR chemical shift data between a molecule with an intact natural product skeleton and another, skeletally simpler, model compound. It is more convenient to draw parallels between the two if the numbering scheme used to refer to the atoms involved are the same in both structures. Therefore, wherever possible, atoms on the carbon skeleton of the model compound(s) will be numbered corresponding to the natural product(s) they are intended to mimic, regardless of the "proper" numbering for the model structure. [Pg.258]

So far we have demonstrated how IR can be used to investigate adsorbates on well-defined model electrode surfaces. Since the understanding of the interaction of CO with Pt is theoretically well advanced, it is possible to interpret the spectra of structurally complex catalysts in terms of the simpler model systems discussed here, by comparison of the IR spectra of adsorbed CO as a probe molecule on technical catalysts and on monodisperse Pt particles. Figure 8 shows the IR spectra of the stretching vibration of CO adsorbed on 10 wt.% carbon-supported Pt ETEK catalyst at different recording potentials. [Pg.570]

Figure 1 In a QM/MM calculation, a small region is treated by a quantum mechanical (QM) electronic structure method, and the surroundings treated by simpler, empirical, molecular mechanics. In treating an enzyme-catalysed reaction, the QM region includes the reactive groups, with the bulk of the protein and solvent environment included by molecular mechanics. Here, the approximate transition state for the Claisen rearrangement of chorismate to prephenate (catalysed by the enzyme chorismate mutase) is shown. This was calculated at the RHF(6-31G(d)-CHARMM QM-MM level. The QM region here (the substrate only) is shown by thick tubes, with some important active site residues (treated by MM) also shown. The whole model was based on a 25 A sphere around the active site, and contained 4211 protein atoms, 24 atoms of the substrate and 947 water molecules (including 144 water molecules observed by X-ray crystallography), a total of 7076 atoms. The results showed specific transition state stabilization by the enzyme. Comparison with the same reaction in solution showed that transition state stabilization is important in catalysis by chorismate mutase78. Figure 1 In a QM/MM calculation, a small region is treated by a quantum mechanical (QM) electronic structure method, and the surroundings treated by simpler, empirical, molecular mechanics. In treating an enzyme-catalysed reaction, the QM region includes the reactive groups, with the bulk of the protein and solvent environment included by molecular mechanics. Here, the approximate transition state for the Claisen rearrangement of chorismate to prephenate (catalysed by the enzyme chorismate mutase) is shown. This was calculated at the RHF(6-31G(d)-CHARMM QM-MM level. The QM region here (the substrate only) is shown by thick tubes, with some important active site residues (treated by MM) also shown. The whole model was based on a 25 A sphere around the active site, and contained 4211 protein atoms, 24 atoms of the substrate and 947 water molecules (including 144 water molecules observed by X-ray crystallography), a total of 7076 atoms. The results showed specific transition state stabilization by the enzyme. Comparison with the same reaction in solution showed that transition state stabilization is important in catalysis by chorismate mutase78.
The AO results may also be used for benchmark tests of simpler models. In this context we have also checked a simple non-perturbative model, the UCA. This model includes the main features of fast heavy-ion stopping, as is shown by comparison with large-scale AO results for the impact-parameter dependent electronic energy transfer. The computation of the energy loss within the UCA is much simpler and by many orders of magnitude faster than the full numerical solution of the time-dependent Schrodinger equation. [Pg.43]

An improvement of a classical repulsive expression (2) for one dimensional system of hard sphere by the very accurate presentation of the Liu s EoS (Figure 7) doesn t change a topologic picture of phase diagram in comparison with classical van der Waals expression for repulsive term. It seems that an improvement of repulsive term makes more plausible of isotherm behavior near second critical point. To analyze a qualitative behavior of thermod5mamic surface anomalies in whole via simpler model is preferable due to a topological equivalence of models under consideration. [Pg.225]

The enormously time-consuming nature of full model calculations prevents this approach from being used for complete fits of experimental data. As a rule, it is employed to verify simpler models and/or to confirm the reasonability of rate constants by comparison with experimental data. To enable more convenient and routine analysis of measured sensorgrams, simpler models of mass transport effects have been derived. [Pg.87]

Mo methylidene centres were calculated. The results, which are similar to those reported for the simpler models of active sites, are presented in Table 3. The reaction leading to square pyramidal molybdacyclobutane (13) is thermodynamically favoured in comparison with the formation of bipyramidal molybdacyclobutane (12). Ethene... [Pg.486]

We have illustrated the model predictions by evaluating two-phase ammonia clouds released in dry and moist air. The numerical test cases are identical to those in Kukkonen et al. (1993), which presents a comparison of the model AERCLOUD and the thermodynamical submodel of the heavy cloud dispersion program DRIFT (Webber et al., 1992). DRIFT embodies the homogeneous equilibrium model, while AERCLOUD allows also for thermodynamic nonequilibrium effects. Both models will cope with ammonia interactions with moist air as well as with the simpler dry air problem. [Pg.625]

Bayesian model class selection (or model comparison) is essentially Bayesian updating at the model class level to make comparisons between alternative candidate model classes for predicting the response of a system. It has long been recognized that comparisons between model classes should factor in not only the quality of the data fit, but also the complexity of the model. Jeffreys referred to the need for a simplicity postulate, that is, simpler models that are consistent with the data should be preferred over more complex models which offer only slight improvements in the fit to the data... [Pg.415]

During the development of the observational model of the Brezno landslide, a conceptual evolutionary model of processes in the main scarp area was also established. Without knowledge of the slope s history and evolution, the model would be much simpler in comparison with the following concept (Fig. 2.5). [Pg.17]

As described in chapter XV, the structure of porous electrodes is complex. A rigorous mathematical analysis of the operation of porous electrodes in the flooded state or as gas-diffusion electrodes is not feasible for this reason. The usual approach in such a situation has been taken in the theoretical treatment of porous electrodes. The real structure and also the reaction mechanism are approximated by simpler models amenable to a mathematical analysis. The applicability of the model and of the assumptions in the mathematical derivation is judged by a comparison of the predictions of the theoretical treatment with the experimental results. [Pg.254]

Deposition of triflates onto solid supports leads to structures for which the comparison with the sulfated zirconia is simpler. Scheme 8.7 depicts comparative structures of supported sulfat-ed zirconia (a) and zinc triflate (b) [90] onto various supports. The model of sulfated zirconia may be extended to titanium as well, and that of the alumina or silica supports to microporous... [Pg.240]


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