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Steady-state approach

Constraint control strategies can be classified as steady-state or dynamic. In the steady-state approach, the process dynamics are assumed to be much faster than the frequency with which the constraint control appHcation makes its control adjustments. The variables characterizing the proximity to the constraints, called the constraint variables, are usually monitored on a more frequent basis than actual control actions are made. A steady-state constraint appHcation increases (or decreases) a manipulated variable by a fixed amount, the value of which is determined to be safe based on an analysis of the proximity to relevant constraints. Once the appHcation has taken the control action toward or away from the constraint, it waits for the effect of the control action to work through the lower control levels and the process before taking another control step. Usually these steady-state constraint controls are implemented to move away from the active constraint at a faster rate than they do toward the constraint. The main advantage of the steady-state approach is that it is predictable and relatively straightforward to implement. Its major drawback is that, because it does not account for the dynamics of the constraint and manipulated variables, a conservative estimate must be taken in how close and how quickly the operation is moved toward the active constraints. [Pg.77]

Toward these ends, the kinetics of a wider set of reaction schemes is presented in the text, to make the solutions available for convenient reference. The steady-state approach is covered more extensively, and the mathematics of other approximations ( improved steady-state and prior-equilibrium) is given and compared. Coverage of data analysis and curve fitting has been greatly expanded, with an emphasis on nonlinear least-squares regression. [Pg.293]

As before, the mechanism gives rise to an overall third-order rate law, in agreement with experiment. Although this procedure is much simpler than the steady-state approach, it is less flexible it is more difficult to extend to more complex mechanisms and it is not so easy to establish the conditions under which the approximation is valid. [Pg.671]

The important reason for the quasi-steady-state approach arises from the difficulty in obtaining a solution to the transient convection problem for two-phase situations. [Pg.247]

Ernst W. 1977. Determination of the bioconcentration potential of marine organism- A steady state approach. I. Bioconcentration data for seven chlorinated pesticides in mussels(mytilus edulis) and their relation to solubility data. Chemosphere 11 731 -740. [Pg.291]

The steady-state approach, however, provides no information on the initial transient conditions, whereby the extractor achieves eventual steady state or on its dynamic response to disturbances. For this it is necessary to derive the dynamic balance equations for the system. [Pg.172]

This expression is the same as that obtained by the steady-state approach if one makes the assumption that k2 k3. [Pg.83]

To study the dynamic quenching in steady state approach, the Stem-Volmer relations are commonly used ... [Pg.194]

The steady-state approach assumes that during most of the reaction ES is produced at the same time it disappears (d[ES]/dt = 0), so that ... [Pg.336]

The quantity and quality of experimental information determined by the new techniques call for the use of comprehensive data treatment and evaluation methods. In earlier literature, quite often kinetic studies were simplified by using pseudo-first-order conditions, the steady-state approach or initial rate methods. In some cases, these simplifications were fully justified but sometimes the approximations led to distorted results. Autoxidation reactions are particularly vulnerable to this problem because of strong kinetic coupling between the individual steps and feed-back reactions. It was demonstrated in many cases, that these reactions are very sensitive to the conditions applied and their kinetic profiles and stoichiometries may be significantly altered by changing the pH, the absolute concentrations and concentration ratios of the reactants, and also by the presence of trace amounts of impurities which may act either as catalysts and/or inhibitors. [Pg.456]

In almost every case differential equations for the quantitative description of the time dependence of particular species resulting from a catalytic cycle cannot be solved directly. This requires approximate solutions to be made, such as the equilibrium approximation [15], the Bodenstein principle [16], or the more generally valid steady-state approach [17]. A discussion of differences and similarities of different approximations can be found in [18]. [Pg.259]

A more detailed examination shows that, in case of equilibrium approximation, the value of fCM corresponds to the inverse stability constant of the catalyst-substrate complex, whereas in the case of the steady-state approach the rate constant of the (irreversible) product formation is additionally included. As one cannot at first decide whether or not the equilibrium approximation is reasonable for a concrete system, care should be taken in interpreting KM-values as inverse stability constants. At best, the reciprocal of KM represents a lower limit of a stability constant In other words, the stability constant quantifying the preequilibrium can never be smaller than the reciprocal of the Michaelis constant, but can well be significantly higher. [Pg.260]

Today, this synonym is used for the more common steady-state approach by Briggs and Haldane (see [17]). [Pg.290]

One can see that both algorithms are similar, but steady-state approaches based on MPC values do not practically take into account either ecosystem characteristics or their geographic situation. Furthermore, there are many known drawbacks of traditional approaches applying MPC (Bashkin et al., 1993 van de Plassche et al., 1997). Since the steps in the steady-state approach are similar but in reverse order, they will not be further elaborated and only the various steps of the critical load approach are summarized below. [Pg.49]

Biogeochemical Model Profile for Calculation of Critical Loads of Acidity The biogeochemical model PROFILE has been developed as a tool for calculation of critical loads on the basis of steady-state principles. The steady-state approach implies the following assumptions ... [Pg.50]

In the steady-state approach (equations (35) and (36)), no attempt is made to isolate the adsorption step from the internalisation of solutes. In this case, a Langmuir adsorption via membrane carriers is coupled to an irreversible and rate-limiting internalisation of the solute carrier complex [186], The process can be described by the Michaelis-Menten equation ... [Pg.476]

In the first sequence the dissolution reaction is initiated by the surface coordination with H+, OH, and ligands which polarize, weaken, and tend to break the metal-oxygen bonds in the lattice of the surface. Since reaction (5.7) is rate limiting and using a steady state approach the rate law on the dissolution reaction will show a dependence on the concentration (activity) of the particular surface species, Cj [mol nr2] ... [Pg.164]

Similar to Yamamoto et al. [60], Tennikova and co-workers [55], used the so-called quasi-steady state approach to predict SMC chromatography. The basic equation used in their modeling was the dependence of the zone migration on the composition of the mobile phase and on the gradient function, which in its differential form is given by ... [Pg.62]

Traditionally, reaction mechanisms of the kind above have been analysed based on the steady-state approximation. The differential equations for this mechanism cannot be integrated analytically. Numerical integration was not readily available and thus approximations were the only options available to the researcher. The concentrations of the catalyst and of the intermediate, activated complex B are always only very low and even more so their derivatives [Cat] and [B]. In the steady-state approach these two derivatives are set to 0. [Pg.91]

Rapid Equilibrium and Steady-State Approaches to Derive Equations. Ill... [Pg.93]

In order for an equilibrium to exist between E -E S and ES, the rate constant kp would have to be much smaller than k i However, for the majority of enzyme activities, this assumption is unlikely to hold true. Nevertheless, the rapid equilibrium approach remains a most useful tool since equations thereby derived often have the same form as those derived by more correct steady-state approaches (see later), and although steady-state analyses of very complex systems (such as those displaying cooperative behavior) are almost impossibly complicated, rapid equilibrium assumptions facilitate relatively straightforward derivations of equations in such cases. [Pg.111]

In the steady-state approach to determining the rate law, solutions containing reactants are pumped separately at a constant flow rate into a vessel ( reactor ), the contents of which are vigorously stirred. After a while, produets and some reactants will flow from the reactor at the same total rate of inflow and a steady state will be attained, in which the reaction will take place in the reactor with a constant concentration of reactants, and therefore a constant rate. This is the basis of the stirred-flow reactor, or capacity-flow method. Although the method has been little used, it has the advantage of a simplified kinetic treatment even for complex systems. [Pg.5]

Marine chemists have taken increasingly more sophisticated approaches towards modeling seawater composition. The goal of these models is to understand the biogeochemical controls on seawater composition well enough that the effects of future perturbations can be predicted. As described next, the first modeling efforts were based on a series of reactions that were assumed to reach equilibrium the next efforts took a steady-state approach as the composition of seawater was thought to have been relatively constant over time. [Pg.546]

Huge resources are required to develop an all-round and predictive bed model of an arbitrary conversion system. Based on this conclusion, this thesis presents a simplified approach to obtain useful knowledge about PBC in general and the small scale combustion of biofuels in particular. This method of attack is presented in paper I-IV and is based on a steady-state approach in the context of the three-step model. [Pg.24]


See other pages where Steady-state approach is mentioned: [Pg.283]    [Pg.499]    [Pg.499]    [Pg.414]    [Pg.414]    [Pg.706]    [Pg.15]    [Pg.252]    [Pg.269]    [Pg.434]    [Pg.259]    [Pg.478]    [Pg.634]    [Pg.111]    [Pg.5]    [Pg.301]   
See also in sourсe #XX -- [ Pg.259 ]

See also in sourсe #XX -- [ Pg.563 ]




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A Steady-State Approach to Predict Degradation Rates

Approach index, steady-state concentration

Approach to equilibrium and steady state

Approach to steady state

Approach to the Steady State

Briggs-Haldane steady state approach

Diffusional steady-state approach

Estimating the Diffusion Depth and Time to Approach Steady State

Quasi-Steady-State Approach to the Kinetics of Spreading

Steady state, kinetics during approach

Steady-state kinetics Briggs-Haldane approach

Time Dependence - The Transient Approach to Steady-State and Saturation Kinetics

Time Dependence—The Transient Approach to Steady State

Time to approach steady state

Transient approach to steady state

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