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Steady state models

The main assumption made in the steady-state approximation is that the concentration of enzyme-substrate complex remains constant in time (i.e.. [Pg.49]

This Km will be equivalent to the dissociation constant of the ES complex (Ks) only for the case where k- k2-, and therefore Km = k- /k. The [Pg.50]

Michaelis constant Km corresponds to substrate concentration at Vmax. [Pg.50]

As stated before, the rate-limiting step of an enzyme-catalyzed reaction is the breakdown of the ES complex. The velocity of an enzyme-catalyzed reaction can thus be expressed as [Pg.50]

As for the case of the equilibrium model, substitution of the [ES] term for [E][S]//irm and normalization of the rate equation by total enzyme concentration, [Ey] — [E -f ES] yields [Pg.50]


Fig. 8. Steady-state model for the earth s surface geochemical system. The kiteraction of water with rocks ki the presence of photosynthesized organic matter contkiuously produces reactive material of high surface area. This process provides nutrient supply to the biosphere and, along with biota, forms the array of small particles (sods). Weatheriag imparts solutes to the water, and erosion brings particles kito surface waters and oceans. Fig. 8. Steady-state model for the earth s surface geochemical system. The kiteraction of water with rocks ki the presence of photosynthesized organic matter contkiuously produces reactive material of high surface area. This process provides nutrient supply to the biosphere and, along with biota, forms the array of small particles (sods). Weatheriag imparts solutes to the water, and erosion brings particles kito surface waters and oceans.
Classification Process simulation refers to the activity in which mathematical models of chemical processes and refineries are modeled with equations, usually on the computer. The usual distinction must be made between steady-state models and transient models, following the ideas presented in the introduction to this sec tion. In a chemical process, of course, the process is nearly always in a transient mode, at some level of precision, but when the time-dependent fluctuations are below some value, a steady-state model can be formulated. This subsection presents briefly the ideas behind steady-state process simulation (also called flowsheeting), which are embodied in commercial codes. The transient simulations are important for designing startup of plants and are especially useful for the operating of chemical plants. [Pg.508]

FIG. 8-33 (a) Comparison of FF (steady state model) and PID FB control for load change (h) comparison of FF (dynamic model) and combined FF/FB... [Pg.732]

A key feature of MFC is that future process behavior is predicted using a dynamic model and available measurements. The controller outputs are calculated so as to minimize the difference between the predicted process response and the desired response. At each sampling instant, the control calculations are repeated and the predictions updated based on current measurements. In typical industrial applications, the set point and target values for the MFC calculations are updated using on-hne optimization based on a steady-state model of the process. Constraints on the controlled and manipulated variables can be routinely included in both the MFC and optimization calculations. The extensive MFC literature includes survey articles (Garcia, Frett, and Morari, Automatica, 25, 335, 1989 Richalet, Automatica, 29, 1251, 1993) and books (Frett and Garcia, Fundamental Process Control, Butterworths, Stoneham, Massachusetts, 1988 Soeterboek, Predictive Control—A Unified Approach, Frentice Hall, Englewood Cliffs, New Jersey, 1991). [Pg.739]

Material and energy balances of the steady-state model. [Pg.745]

Wells, S. A. (1991) "Two-Dimensional, Steady-State Modeling of Cake Filtration in a Laterally Unconfined Domain," Fluid/Partide Separation Journal, Vol. 4, No. 2, June, 107-116... [Pg.215]

The three-diiuensional and dynamic CFD computations show a strong imer-mittenr behavior ol the cold-air downdrafts. Two-dimensional and steady-state models produce results which rarely reflect the real situation. [Pg.1103]

Steady state models of the automobile catalytic converter have been reported in the literature 138), but only a dynamic model can do justice to the demands of an urban car. The central importance of the transient thermal behavior of the reactor was pointed out by Vardi and Biller, who made a model of the pellet bed without chemical reactions as a onedimensional continuum 139). The gas and the solid are assumed to have different temperatures, with heat transfer between the phases. The equations of heat balance are ... [Pg.115]

Due to the complexity of the problem, most of the non-steady state models are only empirical in nature they are generally designed to fit rather than to predict experimental (results and are, therefore, limited in scope. [Pg.99]

This equation has been discussed by Nelson and Pasamehmetoglu (1992) relative to the application of the quasi-steady-state model for the convection problem. [Pg.249]

Shearer, G., Duffy, J., Kohl, D.H. and Commoner, B. 1974 A steady-state model of isotopic fractionation accompanying nitrogen transformations in soil. Soil Science Society of America... [Pg.62]

The curve 4 in Figure 4.2.13 is the prediction of a steady-state model by Umemura and Tomita [18]... [Pg.52]

Radovich, JM Behnam, B MuUon, C, Steady-State Modeling of Electro-Ultrafiltration at Constant Concentration, Separation Science and Teehnology 20, 315, 1985. [Pg.619]

A dynamic model should be consistent with the steady-state model. Thus, Eqs (1) and (4) should be extended to dynamic form. For the better convergence and computational efficiency, some assumption can be introduced the total amounts of mass and enthalpy at each plate are maintained constant. Then, the internal flow can be determined by total mass balance and total energy balance and the number of differential equations is reduced. Therefore, the dynamic model can be established by replacing component material balance in Eq. (1) with the following equation. [Pg.666]

Step 2. The qualitative value of the desired change is propagated through the steady-state model equations of the plant equipment, following the constraint propagation procedure of Steele (1980). Manipulations that cause the desired change and that are feasible are identified as White Knights and are constrained to lie before the situation of interest s, in accordance with the truth criterion. [Pg.69]

The overall system that we will analyze comprises the unbleached Kraft pulp line, chemicals and energy recovery zones of a specific paper mill (Melville and Williams, 1977). We will employ a somewhat simplified but still realistic representation of the plant, originally developed in a series of research projects at Purdue University (Adler and Goodson, 1972 Foster et al., 1973 Melville and Williams, 1977). The records of simulated operation data, used to support the application of our learning architecture, were generated by a reimplementation, with only minor changes, of steady-state models (for each individual module and the system as a... [Pg.147]

Thomann RV, Mahoney JD, Mueller R. 1995. Steady-state model of biota sediment accumulation factor for metals in two marine bivalves. Environ Toxicol Chem 14 1989-1998. [Pg.121]

The differential equations are often highly non-linear and the equation variables are often highly interrelated. In the above formulation, yj represents any one of the dependent system variables and, fi is the general function relationship, relating the derivative, dyi/dt, with the other related dependent variables. Tbe system independent variable, t, will usually correspond to time, but may also represent distance, for example, in the simulation of steady-state models of tubular and column devices. [Pg.123]

Figure 3.4. Steady-state model representation of the cooling jacket. Figure 3.4. Steady-state model representation of the cooling jacket.
Under steady-state conditions, variations with respect to time are eliminated and the steady-state model can now be formulated in terms of the one remaining independent variable, length or distance. In many cases, the model equations now result as simultaneous first-order differential equations, for which solution is straightforward. Simulation examples of this type are the steady-state tubular reactor models TUBE and TUBED, TUBTANK, ANHYD, BENZHYD and NITRO. [Pg.222]

However, the rapid change of the " Th profiles over the course of the bloom, a time scale comparable to half-life of necessitated the use of a non-steady state model. [Pg.473]

The rate model contains four adjustable parameters, as the rate constant k and a term in the denominator, Xad, are written using the Arrhenius expression and so require a preexponential term and an activation energy. The equilibrium constant can be calculated from thermodynamic data. The constants depend on the catalyst employed, but some, such as the activation energy, are about the same for many commercial catalysts. Equation (57) is a steady-state model the low velocity of temperature fronts moving through catalyst beds often justifies its use for periodic flow reversal. [Pg.238]

Bunimovich et al. (1984) point out that if the period of flow reversal, t, is very small relative to the time required for the temperature front to creep through the bed and the high-temperature zone occupies most of the bed a relaxed steady state is achieved in which the temperature profile is constant through most of the bed. This profile can be calculated and leads to a steady-state model for this extreme variant of flow reversal. [Pg.243]

Model interpretation takes a different bent when minimum values for the respective diffusion coefficients are incorporated in the steady-state model, i.e., 1013 cm2/s for the stratum corneum and 10 9 cm2/s for the follicular shunt route. Inserting these values, everything else held constant, suggests there should be a substantial upgrading of the importance of the transfollicular contribution. Data with steroids seem to indicate, however, that the transepidermal route retains a dominant position in the steady state even in this case. [Pg.215]

In contrast, we could have done the derivation using steady state models. In such a case, we would arrive at the design equation for a steady state feedforward controller. We ll skip this analysis. As will be shown later, we can identify this steady state part from the dynamic approach. [Pg.194]

In order to determine the liquid exchange mass flux at the interface due to the droplet deposition and the liquid reentrainment, Quandt (1962) measured the dye concentration in an isothermal annular flow. His steady-state model is similar to Vanderwater s as shown in Figure 5.22, except for his assumption that VId — Vh, = Vr Hence, the concentration balance of dye can be expressed as... [Pg.372]

A simple steady-state model is presented for simultaneous passive diffusion and intracellular metabolism of a drug undergoing the irreversible reaction... [Pg.304]

III. STEADY-STATE MODEL A. Macroscopic Mass Balance Approach... [Pg.395]

The mathematical solution to moving boundary problem involves setting up a pseudo-steady-state model. The pseudo-steady-state assumption is valid as long as the boundary moves ponderously slowly compared with the time required to reach steady state. Thus, we are assuming that the boundary between the salt solution and the solid salt moves slowly in the tablet compared to the diffusion... [Pg.721]

Han (H3) and Han and Wilenitz (H4) have also presented steady-state models of fertilizer granulators based on population balance on the granules in the process loop operating in the snowballing mode. From the viewpoint of process control some interesting interrelationships between various recycle ratios, crusher speed, crusher product size, and the granule growth rate have been established. [Pg.112]

The disadvantages of the nonequilibrium steady state models have already been pointed out. In addition, evaluative models of... [Pg.121]

The transparency of this model was achieved by making it possible for the user to view the equations within the model. By viewing a section of the program code, the user can know how this steady-state model mimics the physical reality. The model is intended to provide regionally specific estimates of chemical concentrations in the primary media. These estimates can be compared to monitoring data and be used for exposure estimation. [Pg.54]

In the simple steady-state model of Thaddeus,117 bare carbon cluster seed molecules with 12 carbon atoms are used with reaction 28 to produce large linear carbon clusters with sizeable abundances since it is assumed that the C +l ions produced in reaction 28 do not dissociate when they recombine with electrons if n >12. Rather, neutral Cn+1 clusters are formed which either photodissociate (slowly) or recombine further with C+. In this limited system, cluster growth would be catastrophic were it not for photodissociation. The large abundances of carbon clusters with 20 < n < 40 suggests that such molecules may well be the carriers of the well-known DIBs.118... [Pg.33]


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Modeling steady-state

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