Extensions to Multicomponent Systems

The methods outlined above have been developed largely using experimental data for binary, two-phase systems. The question of whether they can be applied to multicomponent systems can be examined as follows. Tray hydraulics factors such as pressure drops, flow regimes, froth densities, etc., depend only on the fluid mechanics of the two-phase mixture on sieve trays; hence one can expect the correlations to be useful for multicomponent mixtures as long as mixture properties for densities, viscosities, interfacial tensions, etc., are used. On the other hand, the point efficiency (and hence the Murphree tray efficiency) depends on the mass transfer resistance of each component species in each phase. Since the diffusivi-ties and the equilibrium ratios (or the slope of the equilibrium curve, m) could vary for each species, the point efficiency will be different for each species. The correlation given in eqn [10] is based on binary mass transfer data.

In the pseudo binary method of calculation (see Kister, 1992) two components are identified as the light key and heavy key components and the e

Murphree tray efficiency is determined for such a binary pair. One then has the option of either using the efficiency so calculated for all of the remaining components or repeating the procedure for all possible binary pairs. Such detailed estimates of component efficiencies are then used as inputs to advanced process simulators such as ASPEN.

Solar Panel Basics

Solar Panel Basics

Global warming is a huge problem which will significantly affect every country in the world. Many people all over the world are trying to do whatever they can to help combat the effects of global warming. One of the ways that people can fight global warming is to reduce their dependence on non-renewable energy sources like oil and petroleum based products.

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