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Kinetic Model Verification

H.,2010. Kinetic model for polyhydroxybutyrate (PHB) production by Hydrogenophaga pseudoflcwa and verification of growth conditions. Afr. J. Biot. 9, 3151-3157. [Pg.58]

We currently model, at least in simple fashion, all resins scaled-up which have an exothermic stage, in order to assess safety implications and utilise plant to its highest productivity regarding heat removal. The data generated is used in verification of kinetics models. [Pg.463]

The theoretical approach involved the derivation of a kinetic model based upon the chiral reaction mechanism proposed by Halpem (3), Brown (4) and Landis (3, 5). Major and minor manifolds were included in this reaction model. The minor manifold produces the desired enantiomer while the major manifold produces the undesired enantiomer. Since the EP in our synthesis was over 99%, the major manifold was neglected to reduce the complexity of the kinetic model. In addition, we made three modifications to the original Halpem-Brown-Landis mechanism. First, precatalyst is used instead of active catalyst in om synthesis. The conversion of precatalyst to the active catalyst is assumed to be irreversible, and a complete conversion of precatalyst to active catalyst is assumed in the kinetic model. Second, the coordination step is considered to be irreversible because the ratio of the forward to the reverse reaction rate constant is high (3). Third, the product release step is assumed to be significantly faster than the solvent insertion step hence, the product release step is not considered in our model. With these modifications the product formation rate was predicted by using the Bodenstein approximation. Three possible cases for reaction rate control were derived and experimental data were used for verification of the model. [Pg.28]

Monomers employed in a polycondensation process in respect to its kinetics can be subdivided into two types. To the first of them belong monomers in which the reactivity of any functional group does not depend on whether or not the remaining groups of the monomer have reacted. Most aliphatic monomers meet this condition with the accuracy needed for practical purposes. On the other hand, aromatic monomers more often have dependent functional groups and, thus, pertain to the second type. Obviously, when selecting a kinetic model for the description of polycondensation of such monomers, the necessity arises to take account of the substitution effects whereas the polycondensation of the majority of monomers of the first type can be fairly described by the ideal kinetic model. The latter, due to its simplicity and experimental verification for many systems, is currently the most commonly accepted in macromolecular chemistry of polycondensation processes. [Pg.187]

Assuming that there are only axial and no radial concentration gradients in the pore due to the negligible size of the pore diameter, the modeled concentration profiles of CO, H2, and H20 in a wax-filled cylindrical pore are given in Figure 12.2 (left, Presto Kinetics). For verification reasons of the underlying model and to obtain a better visual impression of the respective processes in the catalyst pore,... [Pg.221]

Watanabe and Ohnishi [39] have proposed another model for the polymer consumption rate (in place of Eq. 2) and have also integrated their model to obtain the time dependence of the oxide thickness. Time dependent oxide thickness measurement in the transient regime is the clearest way to test the kinetic assumptions in these models however, neither model has been subjected to experimental verification in the transient regime. Equation 9 may be used to obtain time dependent oxide thickness estimates from the time dependence of the total thickness loss, but such results have not been published. Hartney et al. [42] have recently used variable angle XPS spectroscopy to determine the time dependence of the oxide thickness for two organosilicon polymers and several etching conditions. They did not present kinetic model fits to their results, nor did they compare their results to time dependent thickness estimates from the material balance (Eq. 9). More research on the transient regime is needed to determine the validity of Eq. 10 or the comparable result for the kinetic model presented by Watanabe and Ohnishi [39]. [Pg.224]

In many non-equilibrium situations, this local equilibrium assumption holds for the crystal bulk. However, its verification at the phase boundaries and interfaces (internal and external surfaces) is often difficult. This urges us to pay particular attention to the appropriate kinetic modeling of interfaces, an endeavour which is still in its infancy. [Pg.421]

Furthermore, since most large-scale fermentations are carried out in batch mode, the kinetic parameters determined by the chemostat study should be able to predict the growth in a batch fermenter. However, due to the significantly different environments of batch and continuous fermenters, the kinetic model developed from the CSTF runs may fail to predict the growth behavior of a batch fermenter. Nevertheless, the verification of a kinetic model and the evaluation of kinetic parameters by running chemostat is the most reliable method because of its constant medium environment. [Pg.144]

Gotpagar JK, Grulke EA, Bhattacharayya D. Reductive dehalogenation of trichloroethylene kinetic models and experimental verification. J Hazard Mater 1998 62 243-264. [Pg.419]

S. Zmcevic and D. Rusic, Verification of the kinetic model for benzene hydrogenation by poisoning experiment, Chem.Eng.Sci., 43(1988)763. [Pg.494]

A second, and more chemical, verification is due to Finke et al.,21 who also invented the descriptive phrase persistent radical effect and gave a prototype example to the extreme. The thermal reversible 1,3-benzyl migration in a coenzyme B12 model complex leads to the equilibrium of Scheme 9. Earlier work had shown that the reaction involves freely diffusing benzyl and persistent cobalt macrocycle radicals, but the expected self-termination product bibenzyl of benzyl was missing. Extending the detection limits, the authors found traces of bibenzyl and deduced a selectivity for the formation of the cross-products to the self-termination products of 100 000 1 or 99.999%. Kinetic modeling further showed that over a time of 1000 years only 0.18% of bibenzyl would be formed, and this stresses the long-time duration of the phenomenon. [Pg.282]

Experiment is the beginning and the end, the starting-point and final objective of any modeling. Despite the fact that the model is fundamentally not identical to the object of modeling, only experiment suggests the initial guess and provides primary data concerning the structure of the reaction scheme and the values of the kinetic parameters. In their turn, model verification and validation can be done only by comparison with experimental data. [Pg.231]

Thus, one can conclude that reliable verification and validation of kinetic models require a special arrangement of experiments. In the ideal it includes a thorough description of reaction conditions, complete analysis of the reaction mixture, and use of adequate criteria for the comparison of experimental and calculated data. We must confess, however, that a consistent execution of these requirements is very time and resource consuming. This is why a pragmatic (trade-off) approach can be elaborated for the design of experiments. The following elements of this approach can be also employed for the selection of already published experimental data for verification of kinetic models ... [Pg.237]

A realistic selective deactivation kinetic model should use a different aj-t relationship to describe the evolution with time-on-stream of each cracking reaction. Therefore, several values of yj and dj should be known and used. This approach would introduce too many parameters in the control model of the riser or of the overall FCCU For this reason (attd until more basic research and verification can be done on this subject) we will use here a non-selective deactivation model with only one a-t kinetic equation and only one value each for V and d. Since in principle this is not correct (21) the predicted (using this non-sclectivc deactivation model) product distribution at the riser exit (the gasoline yield mainly) will differ somewhat from the real one (20). [Pg.376]

Kurrat R, Ramsden J J and Prenosil J E 1994 Kinetic model for serum albumin adsorption experimental verification J. Chem. Soc. Faraday Trans. 90 587-90... [Pg.2849]

Keywords and phrases Parameter estimation, reaction kinetics, resin production, chemical modelling, model verification, reparameterisation. [Pg.226]

This contribution first focuses on the different steps in a catalytic cycle (Section 2.1) and on the various criteria that can be used to ensure that measurements correspond to a situation in which transport phenomena are not affecting the overall observed kinetics (Section 2.2). Also the verification of the establishment of an ideal flow pattern is addressed (Section 2.3). Finally some comments are included on what to do in the case of so-called irreducible transport phenomena (Section 2.4). The second part focuses on the kinetic model construction and... [Pg.1334]

The kinetic equation (2.151) came from a theoretical derivation of experimental results. The relation between the reaction rates of various elementary steps still needs to make verification by new experimental data. With the formation and development of chemical reaction engineering, one takes care not only for the micro-mechanism of catal3dic reactions, but also for what kinetic model and its parameters can more properly fit, correlate and predict the dynamic behavior of a catalyst in industrial reactor. Therefore, a new research method by macrosimulation-mathematics modeling is developed to fulfill the requirement of reaction engineering. [Pg.139]

Thus, this thesis presents a detailed investigation on kinetic modeling and experimental verification of batch and continuous reactor data for mono and diesterification reactions. Such information is of immense value in design and scale-up of esterification reactors. [Pg.18]

VERIFICATION OF THE KINETIC MODEL AND THE GEL EFFECT IN RADICAL POLYMERIZATION... [Pg.201]

A discussion of the applicability of the MPT model to a particular electroless system ideally presumes knowledge of the kinetics and mechanisms of the anodic and cathodic partial reactions, and experimental verification of the interdependence or otherwise of these reactions. However, the study of the kinetics, catalysis, and mechanistic aspects of electroless deposition is an involved subject and is discussed separately. [Pg.230]

This revolution will spread to all chemical and petroleum processes that are large enough in scale to justify the investment in model building and experimental verification. Further progress needs better chemical kinetic data. The most deficient area remains in predicting the fluid mechanical and solid flow behaviors in reactors, where progress is sorely needed to round out the science of reaction engineering. [Pg.57]

A successor to PESTANS has recently been developed which allows the user to vary transformation rate and with depth l.e.. It can describe nonhomogeneous (layered) systems (39,111). This successor actually consists of two models - one for transient water flow and one for solute transport. Consequently, much more Input data and CPU time are required to run this two-dimensional (vertical section), numerical solution. The model assumes Langmuir or Freundllch sorption and first-order kinetics referenced to liquid and/or solid phases, and has been evaluated with data from an aldlcarb-contamlnated site In Long Island. Additional verification Is In progress. Because of Its complexity, It would be more appropriate to use this model In a hl er level, rather than a screening level, of hazard assessment. [Pg.309]

Nagata, et al. (Nl, N2), Kawamura et al. (K4), and Yagi and Miyauchi (Y2) have studied the characteristics of various impeller agitated multistaged vessels. Such vessels were assumed to be a succession of plug-flow and backmix units, whose relative sizes were a function of the impeller speed. The parameter of the model, the fraction of total volume in a plug-flow, could also be related to a dispersion coefficient. Verification of the model was then obtained with kinetic experiments. [Pg.178]


See other pages where Kinetic Model Verification is mentioned: [Pg.41]    [Pg.51]    [Pg.41]    [Pg.51]    [Pg.107]    [Pg.511]    [Pg.40]    [Pg.168]    [Pg.234]    [Pg.12]    [Pg.290]    [Pg.315]    [Pg.315]    [Pg.323]    [Pg.224]    [Pg.308]    [Pg.329]    [Pg.305]    [Pg.336]    [Pg.262]    [Pg.66]    [Pg.96]    [Pg.6]    [Pg.35]    [Pg.3]    [Pg.318]   


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