Results of the simulation

The method used to determine the value of these constants is identical to the one used for the simulation of the experimental results obtained with oxygen 

They allow to us check that, whatever the chosen evolution parameter, the model acts correctly. 

We can note that whatever the oxygen pressure, the simulation, displayed as a dotted line, allows us to explain the complex variations observed, and especially the topphng of the response observed at high and low pressures. 

Once more, and regardless of the temperature, the simulation is in accordance with the experimental results. 

We also confirm that there is a peak at 10 Pa, and a toppling of the response at low temperatures. 

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The results of simulation have been confirmed by determination of Fe traces in quai tz sand, Cu and Mo in flotation tails and Ag in waste fixing waters on BRA-17-02 analyzer based on X-ray gas-filled electroluminescent detector and on BRA-18 analyzer based on Si-drift detector. The results of the simulation conform satisfactory with the experimental data in the mentioned cases the optimum filtration results in 2 to 5 times lowering of the detection limit. 

Results of the simulation are given on Figure 7.4.5, with the important parameters specified. In the simulation ai=a2=a3=0 was used since these were orders of magnitude smaller than a4. More details are given in the original paper. 

In 1993, eomparisons between the results of the simulation and the measurement data from the test bed revealed an exeellent level of agreement. Sueh a dynamie simulation model makes it possible to examine the dynamie behavior of the entire system even before the maehines and eomponents have been manufaetured. It allows the system behavior to be investigated under operating eonditions that are... 

Equations 5-103, 5-104, 5-105, and 5-106 are first order differential equations. The eomputer program BATCH56 simulates the above differential equations with time inerement = At = 0.2 hr. Table 5-5 gives the results of the simulation and Eigure 5-15 shows plots of the eoneentrations versus time. 

The eomputer program BATCH510 was developed ineorporating Equations 5-156, 5-157, 5-158, and 5-159 in the subprogram of the Runge-Kutta fourth order program. The results of the simulation are... 

Computer program PROGS 1 determines the number of tanks, the varianee, dispersion number, and the Peelet number from Hull and von Rosenberg data. The results of the simulation suggest that about three stirred tanks in series are equivalent to the RTD response eurve. Figure 8-44 shows the shows E(6), Fe p(6), and Fjy[gjgi(6) versus 6. 

An Excel spreadsheet (EXAMPFE 13-1.xls) was developed to determine Rj for given values of Rj SUFy, and otlier required parameters. The results of the simulation exercise are shown in Table 13-6. 

Primary results of the simulation are the room air temperatures, the air change rates, and the space load factors (Figs. 11,38 to 11.40). 

The HVAC system is quite often not simulated but dimensioned on the space load results of the simulation by using simpler tools. However, aspects of control and the related potential for optimization are then neglected. 

Primary results of the simulation are air change rates and concentrations in the two zones per time step (Figs. 11.46 and 11.47). From this, a concentration histogram is derived for the two halls (Fig. 11.48). TFe results show that the TLV is never reached in the analyzed time period. 

The growth exponents a are most readily eonfirmed by plotting direetly the number of blobs L)/l against redueed density The data eol-lapse onto a single master eurve, seen in Fig. 7, whieh is indeed remarkable and a eentral result of the simulation [65,66]. The two indieated slopes mateh exaetly the predieted exponents 0.46, 0.60 (note that in... 

In the result of the simulation one expects the times r23 to be proportional to rR and to be proportional to rp, and, indeed, from Fig. 12 the respective power laws are nicely seen in the athermal case of neutral walls, e/k T = 0. Good agreement with predicted results (not shown graphically here) is obtained also for the scahng of with N, and with D [14]. 

This is achieved by coupling the system to a suitably defined order parameter that is sensitive to the crystal order (the stacking sequence of 111 planes in this case), and doing umbrella sampling with this quantity. The result of the simulation is the free energy difference between both candidate structures—and the winner is fed... 

An essential result of the simulations is that the Zintl anions Sn for the equimolar case do not survive in the liquid. They form (dynamical) networks. For the liquid with 80% of sodium, the suggested octet compounds SnNa4 do not exist, and only isolated tin atoms or tin dimers appear. 

Compare the results of the simulation to the analytical solution which can also be calculated with ISIM. For the constant density assumption, simply set b = 0. 

For a better understanding of the obtained effectiveness factors in Table 12.2, the results of the simulation at different conversion degrees (concentrations of CO, H2, and H20 in a cylindrical catalyst pore) are depicted in Figure 12.3. 

Tables IV-VI present the main results of the simulations carried out with 1, 3 and 10 plenums. Most cases can be divided in two categories ...

The number of stations and ofAGV s and the distribution ofthe technical function among the stations were changed iteratively based upon the results of the simulation runs. 

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