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Control coefficients definition

Finally, and more profoundly, not all properties require explicit knowledge of the functional form of the rate equations. In particular, many network properties, such as control coefficients or the Jacobian matrix, only depend on the elasticities. As all rate equations discussed above yield, by definition, the assigned elasticities, a discussion which functional form is a better approximation is not necessary. In Section VIII we propose to use (variants of) the elasticities as bona fide parameters, without going the loop way via explicit auxiliary functions. [Pg.185]

The control coefficients in terms of q and Z are obtained from the following matrix definition... [Pg.561]

Figure 10 shows that Tj is a unique function of the Thiele modulus. When the modulus ( ) is small (- SdSl), the effectiveness factor is unity, which means that there is no effect of mass transport on the rate of the catalytic reaction. When ( ) is greater than about 1, the effectiveness factor is less than unity and the reaction rate is influenced by mass transport in the pores. When the modulus is large (- 10), the effectiveness factor is inversely proportional to the modulus, and the reaction rate (eq. 19) is proportional to k ( ), which, from the definition of ( ), implies that the rate and the observed reaction rate constant are proportional to (1 /R)(f9This result shows that both the rate constant, ie, a measure of the intrinsic activity of the catalyst, and the effective diffusion coefficient, ie, a measure of the resistance to transport of the reactant offered by the pore stmcture, influence the rate. It is not appropriate to say that the reaction is diffusion controlled it depends on both the diffusion and the chemical kinetics. In contrast, as shown by equation 3, a reaction in solution can be diffusion controlled, depending on D but not on k. [Pg.172]

In order to obtain a definite breakthrough of current across an electrode, a potential in excess of its equilibrium potential must be applied any such excess potential is called an overpotential. If it concerns an ideal polarizable electrode, i.e., an electrode whose surface acts as an ideal catalyst in the electrolytic process, then the overpotential can be considered merely as a diffusion overpotential (nD) and yields (cf., Section 3.1) a real diffusion current. Often, however, the electrode surface is not ideal, which means that the purely chemical reaction concerned has a free enthalpy barrier especially at low current density, where the ion diffusion control of the electrolytic conversion becomes less pronounced, the thermal activation energy (AG°) plays an appreciable role, so that, once the activated complex is reached at the maximum of the enthalpy barrier, only a fraction a (the transfer coefficient) of the electrical energy difference nF(E ml - E ) = nFtjt is used for conversion. [Pg.126]

Because of the close similarity in shape of the profiles shown in Fig. 16-27 (as well as likely variations in parameters e.g., concentration-dependent surface diffusion coefficient), a controlling mechanism cannot be reliably determined from transition shape. If reliable correlations are not available and rate parameters cannot be measured in independent experiments, then particle diameters, velocities, and other factors should be varied and the observed impact considered in relation to the definitions of the numbers of transfer units. [Pg.36]

The interpretation of the elements of the matrix 0 is slightly more subtle, as they represent the derivatives of unknown functions fi(x) with respect to the variables x at the point x° = 1. Nevertheless, an interpretation of these parameters is possible and does not rely on the explicit knowledge of the detailed functional form of the rate equations. Note that the definition corresponds to the scaled elasticity coefficients of Metabolic Control Analysis, and the interpretation is reminiscent to the interpretation of the power-law coefficients of Section VII.C Each element 6% of the matrix measures the normalized degree of saturation, or likewise, the effective kinetic order, of a reaction v, with respect to a substrate Si at the metabolic state S°. Importantly, the interpretation of the elements of does again not hinge upon any specific mathematical representation of specific... [Pg.192]

Figure 20.7 Overall air-water transfer velocity vla/w as a function of Henry s Law coefficient for two very different wind conditions, 10 = 1 m s l (calm overland condition) and Kl0 = 20 m s 1 (rough ocean conditions). The solid lines are calculated for average compound properties Diz = 0.1 cm2 s 1 and Sc,w = 600. The dashed line indicates the boundary between air-phase- and water-phase-controlled transfer velocities. See Table 20.5 for definitions of parameters and substances. Figure 20.7 Overall air-water transfer velocity vla/w as a function of Henry s Law coefficient for two very different wind conditions, 10 = 1 m s l (calm overland condition) and Kl0 = 20 m s 1 (rough ocean conditions). The solid lines are calculated for average compound properties Diz = 0.1 cm2 s 1 and Sc,w = 600. The dashed line indicates the boundary between air-phase- and water-phase-controlled transfer velocities. See Table 20.5 for definitions of parameters and substances.
Although the definition of acidity functions implies that the p.Ka-values determined in this manner refer to a standard state of infinite dilution in water, the acidity function approach has serious limitations since the necessary assumptions concerning activity coefficients may not always be valid. Moreover, it can be asserted that the pKf values obtained are about 2 units too high. Indeed, if the data from Fig. 4 were associated with the pK value of 21.7 obtained by Kankaanpera et al., this would give a rate constant for iodine addition to the enolate equal to about 5 x 10n dm3 mol-1 s-1, i.e. 100 times higher than that expected for a diffusion-controlled process. [Pg.53]

For certain mathematical functions and operations it is necessary for the physicist to know their context, definition and mathematical properties, which we treat in the book. He does not need to know how to calculate them or to control their calculation. Numerical values of functions such as sinx have traditionally been taken from table books or slide rules. Modern computational facilities have enabled us to extend this concept, for example, to Coulomb functions, associated Legendre polynomials, Clebsch—Gordan and related coefficients, matrix inversion and diagonali-sation and Gaussian quadratures. The subroutine library has replaced the table book. We give references to suitable library subroutines. [Pg.338]


See other pages where Control coefficients definition is mentioned: [Pg.36]    [Pg.201]    [Pg.19]    [Pg.367]    [Pg.127]    [Pg.458]    [Pg.532]    [Pg.520]    [Pg.332]    [Pg.621]    [Pg.5]    [Pg.303]    [Pg.43]    [Pg.66]    [Pg.219]    [Pg.393]    [Pg.207]    [Pg.276]    [Pg.4]    [Pg.88]    [Pg.48]    [Pg.215]    [Pg.107]    [Pg.287]    [Pg.490]    [Pg.332]    [Pg.328]    [Pg.11]    [Pg.260]    [Pg.157]   
See also in sourсe #XX -- [ Pg.36 , Pg.201 ]




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