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Kinetic equations selection principles

Let us demonstrate that the presence of the thermodynamic conjugation with the undesired side transformation channels allows, in principle, the target process of the conversion of benzene to ethylbenzene to be achieved with the 100% selectivity provided that the undesired DEB product is added in a certain amount to the initial reaction mixture. Consider the first and second stepwise alkylation processes as thermodynamically conjugate (the third stepwise process is linearly dependent on these two processes). In doing so, the kinetic equations of the formation of ethylbenzene and diethylbenzene can be written in the Horiuti Boreskov Onsager form as... [Pg.248]

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]

The second approach starts with an idea of possible mechanism, leading to a theoretical kinetic equation formulated in terms of concenhations of adsorbed reactants and intermediate species use of the steady-state principle then leads to an expression for the rate of product formation. Concentrations of adsorbed reactants are related to the gas-phase pressures by adsorption equations of the Langmuir type, in a way to be developed shortly the final equation, the form of which depends on the location of the slowest step, is then compared to the Power Rate Law expression, which if a possibly correct mechanism has been selected, will be an approximation to it. A further test is to try to fit the results to the theoretical equation by adjusting the variable parameters, mainly the adsorption coefficients (see below). If this does not work another mechanism has to be tried. [Pg.216]

The case of a simple first-order, irreversible reaction was briefly discussed in Section 1.3. In principle, with Eq. 1.3-5, one value of (C, t) suffices to calculate k when is known. In practice, it is necessary to check the value of k for a set of values of (C, r). This method, called the "integrar method, is simpler than the differential method when the kinetic equation flJ-4) can be integrated. When the order of the reaction is unknown, several values for it can be tried. The stoichiometric equation may be a guide for the selection of the values. The value for which k, obtained from Eq. 1.3-4 or Eq. 1.3-5, is found to be independent of the concentration is considered to be the correct order. [Pg.46]

Undoubtedly the pathway approach is strictly formalized, being at the same time an efficient tool in describing the steady-state laws of chemical reactions. This theory enables to define easily the kinetic equations for the rate and selectivity of chemical processes and moreover, to express the rates of the reversible steps through the measured rates for stable reaction species. Horiuti s theory quite fairly found wide-spread use in interpreting the kinetic laws of catalytic reactions [14-21]. Meanwhile, its possibilities are seriously restricted because of the necessity to maintain a steady-state reaction mode. Nevertheless, note that some principles of the pathway theory may be extended on non-stationary regularities of chemical transformations [17]. [Pg.23]

Model formulation. After the objective of modelling has been defined, a preliminary model is derived. At first, independent variables influencing the process performance (temperature, pressure, catalyst physical properties and activity, concentrations, impurities, type of solvent, etc.) must be identified based on the chemists knowledge about reactions involved and theories concerning organic and physical chemistry, mainly kinetics. Dependent variables (yields, selectivities, product properties) are defined. Although statistical models might be better from a physical point of view, in practice, deterministic models describe the vast majority of chemical processes sufficiently well. In principle model equations are derived based on the conservation law ... [Pg.234]

If the kinetic balance condition (5) is fulfilled then the spectrum of the L6vy-Leblond (and Schrodinger) equation is bounded from below. Then, in each case there exists the lowest value of E referred to as the ground state. In effect, this equation may be solved using the variational principle without any restrictions. On the contrary, the spectrum of the Dirac equation is unbounded from below. It contains the negative ( positronic ) continuum. Therefore the variational principle applied unconditionally would lead to the so called variational collapse [2,3,7]. The variational collapse maybe avoided by properly selecting the trial functions so that they fulfil the boundary conditions specific for the bound-state solutions [1]. [Pg.178]

The method of step-by-step symmetry descent does not explain the mechanisms that are responsible for JT distortions. Some opponents argue that its predictions are far too wide on account of selectivity ( all is possible ). On the other hand, this treatment is based exclusively on group theory and does not account for any approximations used in the recent solutions of Schrddinger equation. Chemical thermodynamics does not solve the problems of chemical kinetics but nobody demands to do it as well. Thus we cannot demand this theory to solve also the mechanistic problems despite the epikernel principle solves it. The problem of too wide predictions can be reduced by minimizing the numbers and lengths of symmetry descent paths (see the applications in this study). [Pg.75]

The products undergo similar mass transfer steps. In principle, heat transfer steps are also to be considered, but generally, temperature gradients are negligible at the particle scale due to the small dimensions of the particle and the great heat capacity of the liquid. The coupling of these different physical and chemical kinetic processes will allow the construction of the apparent reaction rate and selectivity equations. [Pg.689]

The stereochemistry of the metal center resulting from the addition of H has been studied, and the resulting data have revealed several principles. First, the kinetic product from addition of H has a cis disposition of the two hydride ligands, and the trans products are formed by isomerization of the initial cis products. Second, the addition of hydrogen to a square-planar complex can occur with high selectivity along one of the two bond axes due to electronic effects (Equation 6.7). ... [Pg.267]

The quasi-steady-state approximation (QSSA) is also called the Bodenstein principle, after one of its first users (Bodenstein 1913). As a first step, species are selected that will be called quasi-steady-state (or QSS) species. The QSS-species are usually highly reactive and low-concentration intermediates, like radicals. The production rates of these species are set to zero in the kinetic system of ODEs. The corresponding right-hand sides form a system of algebraic equations. These... [Pg.31]

Whilst it is quite straightforward to comprehend the applicability of the previous three basic kinetic simplification principles, the QSSA is not so easy to understand. For example, it may seem strange that the solution of a coupled system of algebraic differential equations can be very close to the system of ODEs. Another surprising feature is that the concentrations of QSS-species can vary substantially over time for example, the QSSA has found application in oscillating systems (Tomlin et al. 1992). The key to the success of the QSSA is the proper selection of the QSS-species based on the error induced by its application. The interpretation of the QSSA and the error induced by the application of this approximation will be discussed fully in Sect. 7.8. [Pg.33]


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See also in sourсe #XX -- [ Pg.157 , Pg.158 ]




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