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Modelling implementation

The room models implemented in the codes can be distinguished further by how detailed the models of the energy exchange processes are. Simple models use a combined convective-radiative heat exchange. More complex models use separate paths for these effects. Mixed forms also exist. The different models can also be distinguished by how the problem is solved. The energy balance for the zone is calculated in each time step of the simulation. [Pg.1070]

An Eulerian-Eulerian (EE) approach was adopted to simulate the dispersed gas-liquid flow. The EE approach treats both the primary liquid phase and the dispersed gas phase as interpenetrating continua, and solves a set of Navier-Stokes equations for each phase. Velocity inlet and outlet boundary conditions were employed in the liquid phase, whilst the gas phase conditions consisted of a velocity inlet and pressure outlet. Turbulence within the system was account for with the Standard k-e model, implemented on a per-phase basis, similar to the recent work of Bertola et. al.[4]. A more detailed description of the computational setup of the EE method can be found in Pareek et. al.[5]. [Pg.670]

This model implements Qual2k to simulate river flow and the behaviour of selected water pollutants. Qual2k is a well-known and well-referenced model and is used by the US EPA since the end of the 1970s. It simulates the physical and chemical reactions of pollutants coming from a sort of sources (point and diffuse). [Pg.387]

A reactive transport model, as the name implies, is reaction modeling implemented within a transport simulation. It may be thought of as a reaction model distributed over a groundwater flow. In other words, we seek to trace the chemical reactions that occur at each point in space, accounting for the movement of reactants to that point, and reaction products away from it. [Pg.301]

Calculations on the differential solvation free energies of the two relevant tautomers are presented in the following table for several different models implemented at a number of levels of theory. The following discussion will focus on comparing specific calculations in the table. [Pg.47]

D. Empirical-deductive Model Implementation and Case Study Evaluation - Validate applicability and requirements coverage of model in industry case... [Pg.23]

Model implementation and case study evaluation need to prove that the model supports value chain planning decisions towards global optima that the model is applicable in practice based in industry case data and that solution times are acceptable for application in the global monthly planning process. [Pg.206]

Fig. 14.3 shows schematically how the hydrogen infrastructure options - comprising the whole supply chain of hydrogen from production (central or onsite), via transport and distribution to the (implementation of) refuelling stations - are modelled in MOREHyS. It has to be noted, that from the point of view of model implementation, transport refers to the transportation of hydrogen between different areas, while distribution is defined as the transportation of hydrogen within the... [Pg.394]

All choices should be questioned before the final analysis result is adopted. This includes data manipulation methods for dealing with outliers choice of sampling distribution, statistic, or model implementation approaches and number of samples in the simulation. These choices should be well documented in the description of the analysis. [Pg.67]

Thus, when we change the model (Implementation property), the change will not be displayed on the screen. Click the Cancel button to return to the spreadsheet. [Pg.432]

Motives for the introduction of the new business model Implementation of new technologies in the entire plant. ... [Pg.107]

What would you change, complete or develop at this model Implementation of this model in all treatment stations of the plant. ... [Pg.107]

Figure 4.28 Pseudo-univariate representation of the PLS model implemented for the case study (four latent variables and mean-centred data). Reproduced from Ref. [12], with permission from the Royal Society of Chemistry. Figure 4.28 Pseudo-univariate representation of the PLS model implemented for the case study (four latent variables and mean-centred data). Reproduced from Ref. [12], with permission from the Royal Society of Chemistry.
Mitterdorfer A., Gauckler L.J., 1999. Identification of the reaction mechanism of the Pt, C>2(g) yttria-stabilized zirconia system Part II Model implementation, parameter estimation, and validation. Solid State Ionics 117(3/4), 203-217. [Pg.90]

In Figure 2.10 we show a selection of results, in which experimental and calculated spectra are compared at 292 and 155K. The results are quite satisfactory, especially when considering that no fitted parameters, but only calculated quantities (via QM and hydrodynamic models) have been employed. The overall satisfactory agreement of the spectral line shapes, particularly at low temperatures, is a convincing proof that the simplified dynamic modelling implemented in the SLE through the purely rotational stochastic diffusive operator f, and the hydrodynamic calculation of the rotational diffusion tensor, is sufficient to describe the main slow relaxation processes. [Pg.163]

The valence bond method with polarizable continuum model (VBPCM) method (55) includes solute—solvent interactions in the VB calculations. It uses the same continuum solvation model as the standard PCM model implemented in current ab initio quantum chemistry packages, where the solvent is represented as a homogeneous medium, characterized by a dielectric constant, and is polarizable by the charge distribution of the solute. The interaction between the solute charges and the polarized electric field of the solvent is taken into account through an interaction potential that is embedded in the... [Pg.255]

The structure of a compartmental PK model is given by the number of compartments being used and the way the compartments are connected. For most drugs the plasma concentration-time profiles can be sufficiently described by one-, two-or three-compartment models. A one-compartment model assumes that no time is necessary for the distribution of the drug and the whole distribution occurs within this one compartment. The two-compartment model implements in addition to a central compartment a peripheral compartment which allows the description of distribution processes of the compound in, e.g. tissues with different physicochemical properties. The three-compartment model provides an additional compartment for distribution processes. The use of more than three compartments is quite rare, but there are some situations where the model can get quite difficult, e.g. if the concentration-time profile of metabolites are also considered within the model. For more information regarding compartment models, refer to Rowland and Tozer... [Pg.462]

Models implemented as software programs may suffer from errors in program code, hardware errors as well as differences in various computer operating systems. [Pg.22]

The calculations presented in this chapter have been done using the MCSCF code of the package GAMESS [36] which contains also the more recent developments, made in our laboratory, on the solvent dielectric model for the study of solvation (see for example [37]). Our solvation model implemented in GAMESS allows a CASSCF calculation with the inclusion of all the basic solute-solvent interactions. [Pg.443]

The EE-based and semiempirical models implement polarization via charge transfer between atoms on the same molecule. These models are fundamentally different from the treatment of shell and PPD models, which include point polarization but no charge transfer. There are important differences between the two approaches. [Pg.131]

A Lagrangian transport model implemented in BOLCHEM (BOLTRAJ variant) can be used in conjunction with the Eulerian part (DTsidoro et al., 2005). This is... [Pg.92]

Bash, P. A., Pattabiraman, N., Huang, C., Ferrin, T. E. and Langridge. R Van der Waals surfaces in molecular modelling implementation with real-tin. <= computer graphics. Science 222, 1325-1327 (1983). [Pg.450]


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