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Theoretical Efficiency Prediction

Theoretical Efficiency Prediction Theoretical tray efficiency prediction is based on the two-film theory and the sequence of steps in Fig. 14-41. Almost all methods evolved from the AIChE model (AIChE Research Committee, Bubble Tray Design Manual, New York, 1958). This model was developed over 5 years in the late 1950s in three universities. Since then, several aspects of the AIChE model have been criticized, corrected, and modified. Reviews are given by Lockett (Distillation Tray Fundamentals, Cambridge University Press, Cambridge, England, 1986) and Chan and Fair [Ind. Eng. Chem. Proc. [Pg.53]

Whenever energy is transformed from one form to another, an iaefficiency of conversion occurs. Electrochemical reactions having efficiencies of 90% or greater are common. In contrast, Carnot heat engine conversions operate at about 40% efficiency. The operation of practical cells always results ia less than theoretical thermodynamic prediction for release of useful energy because of irreversible (polarization) losses of the electrode reactions. The overall electrochemical efficiency is, therefore, defined by ... [Pg.508]

Long time ago, theoretical works predicted that the feedback at IDAs is directly linked to the dimensions of the electrodes and the interelectrode distance (gap) [107,108] and, recently, the height of the electrodes was found to be another crucial parameter [109]. Different models have been developed to enhance the efficiency collection (Fig. 32.3) but the greatest advances were with nanometric dimensions [113]. In this way, IDAs have improved the analytical characteristics of current methodologies (as higher sensitive p-aminophenol detection [114] or capacitive biosensors [115,116]) and other applications have emerged [117]. [Pg.781]

The above problem is not unique to the Chan and Fair correlation. In fact, the author feels that this is the most reliable published theoretical efficiency correlation currently available. The current correlation inherited these high efficiency predictions from the AlChE model, and the problem extends to all other theoretical tray efficiency correlations the author has experience with. When the column diameter exceeds 4 ft, one can almost count on a theoretical correlation to predict between 80 and 100 percent efficiency, regardless of the service. In the real world, most columns run closer to 60 percent efficiency. Which of the limitations listed above, and to what extent, generates the problem is unknown. The author would not trust any theoretical tray efficiency correlation for obtaining design efficiencies unless proven that it has actually overcome the above overestimating problem. [Pg.376]

The combination of reasonable accuracy, good reliability, and simplicity, together with the weakness of theoretical tray efficiency correlations, rendered the O Connell distillation correlation (Fig. 7.5ar the standard of the industry. It has been recommended by most literature sources (4,10,18,33,126,131,151,152) as one of the best empirical methods available for tray efficiency prediction. The author has hed extensive favorable experience with the distillation correlation (Fig. 7.5a), and heard the same from many others in the industry. Frank (10) and the author believe that the O Connell plot is the best computational method for estimating distillation tray efficiency others (4,12,33), however, prefer theoretical methods. [Pg.378]

NaLS) by copper(II) yields assemblies in which Cu2+ ions constitute the counter ion atmosphere of the micelle (Fig. 4.8). These may be photoreduced to the monovalent state by suitable donor molecules incorporated in the micellar interior. An illustrative example is that where D = N,N -dimethyl 5,11-dihydroindolo 3,3-6 carbazole(DI). When dissolved in NaLS micelles, DI displays an intense fluorescence and the fluorescence lifetime measured by laser techniques is 144 ns. Introduction of Cu2+ as counterion atmosphere induces a 300 fold decrease in the fluorescence yield and lifetime of DI. The detailed laser analysis of this system showed that in Cu(LS) micelles there is an extremely rapid electron transfer from the excited singlet to the Cu2+ ions. This process occurs in less than a nanosecond and hence can compete efficiently with fluorescence and intersystem crossing165. This astonishing result must be attributed to a pronounced micellar enhancement of the rate of the transfer reaction. It is, of course, a consequence of the fact that within such a functional surfactant unit regions with extremely high local concentrations of Cu2+ prevail. (Theoretical estimates predict the counterion concentration in the micellar Stem layer to be between 3 and 6 M). [Pg.62]

In reality there can be a difference between the theoretical equation and the measured weight of reaction products. This is due to the presence of other reactions than metal deposition or removal (e.g. gas evolution). To deal with these effects we can introduce the current efficiency 0, defined as the ratio of the observed mass change to the theoretical one predicted from Faraday s law. [Pg.46]

Robinson JS, Winnick J (1998) Theoretical limiting prediction of H2S removal efficiency from coal gasification streams using an intermediate temperature electrochemical separation process. J Appl Electrochem 28 1343-1349. doi 10.1023/A 1003416500001... [Pg.600]

CNTs have been studied worldwide by scientists and engineers since their discovery, but a robust, theoretically precise and efficient prediction of the mechanical properties of CNTs has not yet been found. The problem is, when the size of an object is small to nanoscale, their many... [Pg.206]

Figure 2 Chromatographic efficiency (A) and a chromatogram (B) obtained using an end-column electrochemical detector coupled to an OTLC column. (A) Experimentally measured data of the OTLC system (plotted points) is compared to the theoretical efficiency as predicted by the Golay equation (solid eurve) for a column diameter of 14 pm and diffusion coefficient of 10 cmVs. (B) Chromatogram obtained for an injection of 0.76 pg hydroquinone onto a 14 pm x 1.2 m column operated at 6 mm/s. (Adapted from Ref. 13.)... Figure 2 Chromatographic efficiency (A) and a chromatogram (B) obtained using an end-column electrochemical detector coupled to an OTLC column. (A) Experimentally measured data of the OTLC system (plotted points) is compared to the theoretical efficiency as predicted by the Golay equation (solid eurve) for a column diameter of 14 pm and diffusion coefficient of 10 cmVs. (B) Chromatogram obtained for an injection of 0.76 pg hydroquinone onto a 14 pm x 1.2 m column operated at 6 mm/s. (Adapted from Ref. 13.)...
It can be seen that, with regard to the pure matrix, the elastic modulus, tensile strength and strain at break increase with nanotube loading. On the other hand, the addition of 10 MWNTs impart to the matrix a higher level of reinforcement than 10 phr of carbon black. Many factors could potentially explain the superior reinforcing efficiency of carbon nanotubes and among them, the filler aspect ratio is expected to play an important role in the mechanical response of the composite. Experimental data can be usefully compared to theoretical model predictions, especially those of Guth [71] and Halpin-Tsai [72]. [Pg.174]

Since Mie s theory was developed for particles of spherical shape only, theoretical methods describing the properties of nonspherical NPs were developed [231], These approaches were found to rather efficiently predict the absorption spectra of the metal NPs of various shapes. [Pg.348]


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Theoretical predictions

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