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Non-stationary operations

Non-stationary operations have found large scale industrial application. An important classical example is catalytic cracking, where oil is exposed with a short residence time to a rapidly deactivating zeolitic catalyst, which is regenerated in a second step by removal of deposited coke. A novel non-stationary process is selective butane oxidation over a regenerable oxidation catalyst (see Chapter 2). Undoubtedly we will see more examples of this type of process, in which the proper catalytic step and the regeneration of the catalytic sites occur in different compartments under different conditions. A nice application involves... [Pg.444]

Another group of heat exchangers are non-stationary operated thermal regenerators in which heat is stored and released alternately by a heat storage matrix, for example, two fixed beds, a rotary regenerator, or systems with a circulating solid (Figure 3.3.4). [Pg.97]

The interpretation of the above expressions is rather remarkable. The centroid constraints in the Boltzmann operator, which appear in the definition of the QDO from Eqs. (19) and (20), cause the canonical ensemble to become non-stationary. Equally important is the fact that the non-stationary QDO, when traced with the operator 9. (or P) as in Eq. (37), defines a dynamically evolving centroid trajectory. The average over the initial conditions of such trajectories according to the centroid distribution [ cf Eq. (36) ] recovers the stationary canorrical average of the operator (or ). However, centroid trajectories for individual sets ofirritial conditions are in fact dynamical objects and, as will be shown in the next section, contain important information on the dynamics of the spontaneous fluctuations in the canonical ensemble. [Pg.55]

The CSTR is, in many ways, the easier to set up and operate, and to analyse theoretically. Figure 6.1 shows a typical CSTR, appropriate for solution-phase reactions. In the next three chapters we will look at the wide range of behaviour which chemical systems can show when operated in this type of reactor. In this chapter we concentrate on stationary-state aspects of isothermal autocatalytic reactions similar to those introduced in chapter 2. In chapter 7, we turn to non-isothermal systems similar to the model of chapter 4. There we also draw on a mathematical technique known as singularity theory to explain the many similarities (and some differences) between chemical autocatalysis and thermal feedback. Non-stationary aspects such as oscillations appear in chapter 8. [Pg.142]

When both factors operate simultaneously there may be both an upper and a lower limit of concentration, above and below which slow reaction occurs but between which lies a region of non-stationary, explosive processes. [Pg.179]

For non-stationary processes the motion of the center of mass produced by external sources (sound waves for instance) can be coupled to the electro-nuclear system via its total momentum operator p (cf. eq.(9)). Not only vibrational excitations but also electronic ones can be mediated by non-stationary motion of the center of mass. This is a feature related to the stationary frame determined by a particular stationary electronic state. [Pg.29]

Reactions having Q-states provide mechanistic pathways to achieving the electronic interconversion which can be modulated by external electromagnetic fields such as, for instance, microwaves as well as thermal blackbody radation, due to the quasi energy degeneracy. In non-stationary situations, the operator... [Pg.44]

Test evaluation of the catalytic performances, again involving the expertise of the available robots and the proper choice of operating conditions (tested reactions, stationary or non-stationary regimes, T P, contact time, etc.). [Pg.240]

This third strategy will be illustrated by HT experiments carried out under WGS, reverse WGS and Selox conditions, varying operating parameters such as temperature, partial pressures, space velocity, under stationary and non-stationary conditions [20]. [Pg.247]

It is suggested that a CCN displays the following attributes Development-ally it is self-organized and self-adapting and, in the sense that it is epigenet-ically regulated, it is untrained. Operationally it is a stable, dynamic system, whose oscillatory behavior permits feedback in this regard, it is noted that a CCN operates in a noisy, non-stationary environment, and that it also employs useful and necessary inhibitory inputs. [Pg.26]

Each state in the sum, n(R, t) = 4>n(R)e l nt h, is denoted as a stationary state, because all expectation values ( (f) A (f)) (e.g., for the operator representing the position) are independent of time. That is, there is no observable time dependence associated with a single stationary state. Equation (1.13) shows that the non-stationary time-dependent solutions can be written as a superposition of the stationary solutions, with coefficients that are independent of time. The coefficients are determined by the way the system was prepared at t = 0. [Pg.9]

Active centres and their residues (in non-stationary polymerizations) are always a source of unwanted reactions of macromolecules during further operations. On an industrial scale, radical centres are terminated by inhibitors. Even the inhibiting effect of atmospheric oxygen is exploited. [Pg.431]

The continuous feeding of combustibles is the basis of a continuous (in terms of automatic control engineering of a stable) partial load operation. Via the load control system a stable performance control of the fiimace without on/off-operation (combustion for perfoimance, combustion to keep the glow going) can be reached. An increase in emissions caused during the non stationary phases of an operation by on/off-operation is also avoided. [Pg.920]

Solution Low-frequency inductive features are commonly seen in impedance spectra for PEM fuel cells. Makharia et al. suggested that side reactions and intermediates involved in the fuel cell operation can be possible causes of the inductive loop seen at low frequency. However, such low-frequency inductive loops could also be attributed to non-stationary behavior, or, due to the time required to make measurements at low frequencies, nonstationary behavior could influence the shapes of the low-frequency features. [Pg.456]

A theoretical analysis has been carried out for galvanostatic and potentiostatic pulse regimes [27]. The idea that developed is a bit the same as backflushing with pressure driven-membrane operation such as microfiltration or ultrafiltration. The time dependencies of the extent of the concentration polarization near the membrane surface during the pulse are described theoretically for both pulse regimes and a qualitative discussion of the pause duration is presented. The main characteristic of the non-stationary process is the transition time between the state without polarization and the state with stationary polarization. [Pg.272]


See other pages where Non-stationary operations is mentioned: [Pg.202]    [Pg.663]    [Pg.80]    [Pg.202]    [Pg.663]    [Pg.80]    [Pg.657]    [Pg.258]    [Pg.259]    [Pg.583]    [Pg.345]    [Pg.96]    [Pg.73]    [Pg.578]    [Pg.290]    [Pg.112]    [Pg.202]    [Pg.657]    [Pg.111]    [Pg.201]    [Pg.253]    [Pg.258]    [Pg.105]    [Pg.395]    [Pg.847]    [Pg.857]    [Pg.5]    [Pg.425]    [Pg.105]    [Pg.395]    [Pg.847]    [Pg.857]    [Pg.921]    [Pg.59]    [Pg.156]   
See also in sourсe #XX -- [ Pg.444 ]




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Non-stationary

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