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Packed Bed flooding.pdf - Youngstown State University's Personal ...

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Using the GPDC method, the capacity parameter [by Eq. (14-140)] =<br />

U t[ρG/(ρL −ρG)] 0.5 Fp 0.5 ν 0.05 , which is roughly equivalent to<br />

Fs<br />

� ρL 0.5<br />

F p 0.5ν0.05 = 270.5 1.53<br />

� (1.0)<br />

0.5 62.4<br />

= 1.01<br />

Referring to Fig. 14-55, the intersection of the capacity parameter and the flow<br />

parameter lines gives a pressure drop of 0.38 inches H2O/ft packing.<br />

Using the Robbins method, Gf = 986Fs(Fpd/20) 0.5 = 986(1.53)(24/20) 0.5 = 1653.<br />

Lf = L (62.4/ρL)(Fpd/20) 0.5 µ 0.1 = 9000 (1.0)(1.095)(1.0) = 9859. Lf /Gf = 5.96.<br />

From Fig. 14-58, pressure drop = 0.40 in. H2O/ft packing.<br />

PACKING EFFICIENCY<br />

HETP vs. Fundamental Mass Transfer The two-film model<br />

gives the following transfer unit relationship:<br />

H OG = HG +λHL<br />

where HOG = height of an overall transfer unit, gas concentration<br />

basis, m<br />

HG = height of a gas-phase transfer unit, m<br />

HL = height of a liquid-phase transfer unit, m<br />

λ=m/(LM/GM) = slope of equilibrium line/slope of<br />

operating line<br />

EQUIPMENT FOR DISTILLATION AND GAS ABSORPTION: PACKED COLUMNS 14-63<br />

(14-152)<br />

In design practice, a less rigorous parameter, HETP, is used to<br />

express packing efficiency. The HETP is the height of packed bed<br />

required to achieve a theoretical stage. The terms HOG and HETP may<br />

be related under certain conditions:<br />

ln λ<br />

�<br />

(λ−1)<br />

HETP = HOG� � (14-153)<br />

and since Z p = (H OG)(N OG) = (HETP)(N t) (14-154)<br />

N OG = Nt[ln λ/(λ−1)] (14-155)<br />

Equations (14-153) and (14-155) have been developed for binary mixture<br />

separations and hold for cases where the operating line and equilibrium<br />

line are straight. Thus, when there is curvature, the equations<br />

should be used for sections of the column where linearity can be<br />

assumed. When the equilibrium line and operating line have the same<br />

slope, HETP = H OG and N OG = N t (theoretical stages).<br />

An alternative parameter popular in Europe is the NTSM (number<br />

of theoretical stages per meter) which is simply the reciprocal of the<br />

HETP.<br />

Factors Affecting HETP: An Overview Generally, packing<br />

efficiency increases (HETP decreases) when the following occur.<br />

• Packing surface area per unit volume increases. Efficiency increases<br />

as the particle size decreases (random packing, Fig. 14-59) or as the<br />

channel size narrows (structured packing, Fig. 14-60).<br />

• The packing surface is better distributed around a random packing<br />

element.<br />

• Y structured packings (45° inclination) give better efficiencies than<br />

X structured packings (60° inclination to the horizontal) of the same<br />

surface areas (Fig. 14-60).<br />

• For constant L/V operation in the preloading regime, generally<br />

liquid and vapor loads have little effect on random and most corrugated<br />

sheet structured packings HETP (Figs. 14-59 and 14-60).<br />

HETP increases with loadings in some wire-mesh structured<br />

packing.<br />

• Liquid and vapor are well distributed. Both liquid and vapor maldistribution<br />

have a major detrimental effect on packing efficiency.<br />

• Other. These include L/V ratio (lambda), pressure, and physical<br />

properties. These come into play in some systems and situations, as<br />

discussed below.<br />

HETP Prediction HETP can be predicted from mass-transfer<br />

models, rules of thumb, and data interpolation.<br />

Mass-Transfer Models Development of a reliable mass-transfer<br />

model for packing HETP prediction has been inhibited by a lack of<br />

understanding of the complex two-phase flow that prevails in packings,<br />

by the shortage of commercial-scale efficiency data for the newer<br />

packings, and by difficulty in quantifying the surface generation in<br />

modern packings. Bennett and Ludwig (Chem. Eng. Prog., p. 72,<br />

April 1994) point out that the abundant air-water data cannot be reliably<br />

used for assessing real system mass-transfer resistance due to<br />

variations in turbulence, transport properties, and interfacial areas.<br />

More important, the success and reliability of rules of thumb for predicting<br />

packing efficiency made it difficult for mass-transfer models to<br />

compete.<br />

For random packings, the Bravo and Fair correlation [Ind. Eng.<br />

Chem. Proc. Des. Dev. 21, 162 (1982)] has been one of the most<br />

popular theoretical correlations. It was shown (e.g., McDougall,<br />

Chem SA, p. 255, October 1985) to be better than other theoretical<br />

correlations, yet produced large discrepancies when compared to<br />

test data [Shariat and Kunesh, Ind. Eng. Chem. Res. 34(4), 1273<br />

(1995)]. For structured packings, the Bravo, Fair, and Rocha correlation<br />

[Chem. Eng. Progr. 86(1), 19 (1990); Ind. Eng. Chem. Res.<br />

35, 1660 (1996)] is one of the most popular theoretical correlations.<br />

This correlation is based on the two-film theory. Interfacial areas<br />

are calculated from the packing geometry and an empirical wetting<br />

parameter.<br />

Alternate popular theoretical correlations for random packings,<br />

structured packings, or both (e.g., Billet and Schultes, “Beitrage zur<br />

Verfahrens-und Umwelttechnik,” p. 88, Ruhr Universitat, Bochum,<br />

Germany, 1991) are also available.<br />

Rules of Thumb Since in most circumstances packing HETP is<br />

sensitive to only few variables, and due to the unreliability of even the<br />

best mass-transfer model, it has been the author’s experience that<br />

rules of thumb for HETP are more accurate and more reliable than<br />

mass-transfer models. A similar conclusion was reached by Porter<br />

and Jenkins (IChemE Symp. Ser. 56, Summary paper, London,<br />

1979).<br />

The majority of published random packing rules of thumb closely<br />

agree with one another. They are based on second- and third-generation<br />

random packings and should not be applied to the obsolete<br />

first-generation packings. Porter and Jenkins’s (loc. cit.), Frank’s<br />

(Chem. Eng., p. 40, March 14, 1977), Harrison and France’s (Chem.<br />

Eng., p. 121, April 1989), Chen’s (Chem. Eng., p. 40, March 5, 1984),<br />

and Walas’ (Chem. Eng., p. 75, March 16, 1987) general rules of<br />

thumb are practically the same, have been successfully tested against<br />

an extensive data bank, and are slightly conservative, and therefore<br />

suitable for design.<br />

For small-diameter columns, the rules of thumb presented by<br />

Frank (loc. cit.), Ludwig (Applied Process Design for Chemical and<br />

Petrochemical Plants, vol. 2, 2d ed., Gulf Publishing, Houston, Tex.,<br />

1979), and Vital et al. [Hydrocarbon Processing, 63(12), 75 (1984)]<br />

are identical. The author believes that for small columns, the more<br />

conservative value predicted from either the Porter and Jenkins or<br />

the Frank-Ludwig-Vital rule should be selected for design. Summarizing:<br />

HETP = 18D P<br />

(14-156a)<br />

HETP > DT for DT < 0.67 m (14-156b)<br />

where DP and D T are the packing and tower diameters, m, respectively,<br />

and the HETP is in meters. In high-vacuum columns (

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