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Temperature, modelling

FIGURE 8.33 Two-zone temperature model ol the zoning strategy. [Pg.652]

Figures 8.33 and 8.34 describe a two-zone model application of the zoning strategy where all the main variable parameters are presented. Figure 8.33 (temperature model describes the accumulation of heat and Fig. 8.34 (concentration model) the accumulation of contaminants. After solving for the temperatures, heat flow s, and airflows, contaminant concentrations can lie calculated. The models are here determined for stationary loads, airflow rates, and indoor/outdoor conditions, but they can be developed also for dynamic simulations. Figures 8.33 and 8.34 describe a two-zone model application of the zoning strategy where all the main variable parameters are presented. Figure 8.33 (temperature model describes the accumulation of heat and Fig. 8.34 (concentration model) the accumulation of contaminants. After solving for the temperatures, heat flow s, and airflows, contaminant concentrations can lie calculated. The models are here determined for stationary loads, airflow rates, and indoor/outdoor conditions, but they can be developed also for dynamic simulations.
At higher temperatures (T > Tm), model II predicts larger values of 0, because this increases the number of possibilities of forming a helix, in contrast to the AON model (I). On the other hand, at lower temperatures, model I gives more possibilities of the realization of the coiled state and thus the transition curve near = 1 is flat in comparison with the AON case. [Pg.189]

When modelling a pressurized hot bed (Table 2) the ambient temperature model fluidized with air has dimensions very close to those of the pressurized combustor. If another gas is used in the model, particularly a gas with a higher density, the model can be made much smaller than the pressurized combustor (see Table 3). Care must be taken to select a safe modelling gas and one which yields a solid density for the model which is available. [Pg.59]

The objects span a nominal urea concentration range of 85.5 to 91.4%. The PLS model will be established on experimental Y reference values (crystallization temperature), corresponding to 92-107 °C. A model for urea concentrations can also be established following appropriate laboratory data [14,15]. The crystallization temperature model (no outliers) is able to describe 87% of the Y variance with three PLS components. [Pg.287]

Figure 9.8 X data matrix of acoustic spectra used in calibration of the urea crystallization temperature model. Reprinted from [7], Copyright 2006, with permission from Elsevier. Figure 9.8 X data matrix of acoustic spectra used in calibration of the urea crystallization temperature model. Reprinted from [7], Copyright 2006, with permission from Elsevier.
Flash photolysis has been used to investigate the kinetics of electron transfer from tyrosine to Ru in [Ru(bpy)2(4-Me-4 -CONH-L-tyrosine ethyl ester-2,2 -bpy)] " as a function of pH and temperature. " Model systems for PSII have moved to di- and trimanganese systems containing... [Pg.663]

Consider a fluidized bed operated at an elevated temperature, e.g. 800°C, and under atmospheric pressure with ah. The scale model is to be operated with air at ambient temperature and pressure. The fluid density and viscosity will be significantly different for these two conditions, e.g. the gas density of the cold bed is 3.5 times the density of the hot bed. In order to maintain a constant ratio of particle-to-fluid density, the density of the solid particles in the cold bed must be 3.5 times that in the hot bed. As long as the solid density is set, the Archimedes number and the Froude number are used to determine the particle diameter and the superficial velocity of the model, respectively. It is important to note at this point that the rale of similarity requires the two beds to be geometrically similar in construction with identical normalized size distributions and sphericity. It is easy to prove that the length scales (Z, D) of the ambient temperature model are much lower than those in the hot bed. Thus, an ambient bed of modest size can simulate a rather large hot bed under atmospheric pressure. [Pg.542]

Figure 3.43. The time dependent electronic temperature Te, lattice temperature Tq. and adsorbate temperature defined as Tads = [EH /2kB following a 130 fs laser pulse with absorbed laser fluence of 120 J/m2 centered at time t = 0. The bar graph is the rate of associative desorption dY/dt as a function of t. Te and T are from the conventional two temperature model and 7 ads and dY/dl are from 3D first principles molecular dynamics with electronic frictions. From Ref. [101]. Figure 3.43. The time dependent electronic temperature Te, lattice temperature Tq. and adsorbate temperature defined as Tads = [EH /2kB following a 130 fs laser pulse with absorbed laser fluence of 120 J/m2 centered at time t = 0. The bar graph is the rate of associative desorption dY/dt as a function of t. Te and T are from the conventional two temperature model and 7 ads and dY/dl are from 3D first principles molecular dynamics with electronic frictions. From Ref. [101].
Whatever the reason, the Synthesis Team chose the most extreme temperature model when it chose the CGCM1. For balance, then, it could have used an analogously cold model, such as the new version from the U.S. National Center for Atmospheric Research8 for all applications that didn t require daily data, such as mean seasonal or annual temperature or precipitation changes. [Pg.193]

Fig. 3. Three temperature model pump pulse temporal profile, and variation of the temperatures of electrons, phonons, frustrated rotation and frustrated translation. Fig. 3. Three temperature model pump pulse temporal profile, and variation of the temperatures of electrons, phonons, frustrated rotation and frustrated translation.
The term desorption is used in contrast to evaporation in cases in which a transition of a molecular or ion from the condensed into the gas phase is assumed to take place under non thermal equilibrium condition. The underlying idea is that at thermal equilibrium, temperatures for an evaporation would lead to a correspondingly high excitation of internal vibrational modes of excitation leading to fraigmentation of the molecule. As mentioned above, several characteristics of the ion spectra (2., 6.) cannot reasonably be fitted to an equilibrium temperature model. These properties seem to be the more pronounced, the higher the laser irradiance (i.e. usually the shorter the pulse) and are best documented for the LAMMA technique. Though metastable decay of ions is observed and will be discussed below, the decay rate for most of the ions is very small and decay... [Pg.72]

Simulation examples of four types of tubular reactors have been presented in the sections above. The adiabatic and constant-coolant temperature models are easier to set up and seem to run with fewer problems. In the adiabatic reactor the only variable that can be controlled is the inlet temperature. In the cooled reactors a temperature can be controlled by manipulating either the coolant temperature or the coolant flowrate, depending on the model. [Pg.343]

In the constant-coolant temperature model, a temperature at a number of locations down the length of the reactor can be controlled. For the co-current and countercurrent... [Pg.343]

The applicability of the lattice EOS in the modelling of the VLE of mixtures of molecules of different sizes was examined next. The results for the I S-n-heptane system at 310K and 352K are shown in Figure 3 (23). For the temperatures modelled, it is seen that there is a good agreement between the fitted and the experimental data, again with the use of one temperature independent binary interaction parameter. [Pg.94]

Removal of the sterically more accessible protons at C-5 was required and hence it was reasoned that kinetic deprotonation conditions were required, namely, strong, nonnucleophilic base and low temperature. Model reactions were carried out initially on 4-keto-L-proline ester 47, in the hope of optimizing the triflation conditions before moving to C-3-alkylated derivatives 53 and 54. [Pg.184]

Figure 4. Bed scale apparent reaction rate against the liquid superficial velocity at different temperatures (— model +, o, s experiments). Figure 4. Bed scale apparent reaction rate against the liquid superficial velocity at different temperatures (— model +, o, s experiments).
Govindarao10 also postulated generalized nonisothermal (constant reactor wall temperature) models for batch as well as cocurrent- and countercurrent-flow three-phase gas-liquid-solid systems carrying out a first-order reaction. [Pg.135]

Effect of temperature model based on viscosity, ija = nx expiEav/f T) (1)... [Pg.298]

The rate law from the steady-state derivation of the proposed reaction paths is consistent with kinetic studies under process conditions of the overall reaction and with room-temperature model studies for the rate-determining oxidative addition step (eq. (13)) [5]. [Pg.111]


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See also in sourсe #XX -- [ Pg.409 ]




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Carrots temperature modeling

Constant Temperature Model

Crossover temperature model

Dependence of Model Parameters on Pressure and Temperature

Fitted model parameters, temperature influence

Glass transition temperature model

Glass-transition temperature ligand field models

High temperature oxidation of y-NiCrAI modelling and experiments

High temperature superconductors theoretical model

Hypothesis temperature affect modeling

Inverse temperature transitions model protein

Kauzmann temperature, glass transition entropy model

Local Temperature Models

Lower critical solution temperature Model

Mean field model order parameter, temperature dependence

Model high-temperature superconductors

Model proteins inverse temperature

Model-generated pressure-temperature

Model-generated pressure-temperature system

Modeling temperature programmed

Modeling temperature programmed desorption

Modelling temperature distribution

Molecular dynamics coupling model, temperature/pressure

Pair-correlation model temperature-dependent

Phase separation, high temperature theoretical model

Regular solution model temperature

Room temperature bubble point pressure surface tension model

Room temperature pore diameter model

Room temperature reseal diameter model

Room temperature reseal pressure model

Scaling laws and the temperature blob model

Simplified room temperature model

Structural models, glass transition temperature

Surface complexation models temperature dependence

Temperature blob model

Temperature collision model

Temperature dependence Ohmic model

Temperature dependence liquid crystalline phase modelling

Temperature dependence model

Temperature dependence model parameters

Temperature distribution model

Temperature effects model systems

Temperature elastic-contractile model

Temperature field, solutal model

Temperature gradient-based modeling

Temperature gradients mathematical modeling

Temperature gradients physical models

Temperature hopping models

Temperature model

Temperature model

Temperature model systems

Temperature profiles, modeling melt

Temperature reactor modeling

Temperature reduction kinetic models

Temperature-Dependent Model

The Creep Model with Temperature and Stress Factors

The Model for Temperature Calculation

Two-temperature model

Water model room temperature example

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