Heat and mass transfer in packed beds—III. Axial mass dispersion

Langer, Gesa; Roethe, A.; Roethe, K.-P.; Gelbin, D.

doi:10.1016/0017-9310(78)90037-6

Cited by 82 publications

(31 citation statements)

References 16 publications

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“…The axial dispersion was estimated by the equation proposed by Langer et al (1978). being where D;,) is the bulk diffusivity of component 1 in 2 and is estimated using the Chapman-Enskog kinetic theory (Bird et al, 1960).…”

Section: Numerical Solution Of the Modelmentioning

confidence: 99%

The backfill cycle of the pressure swing adsorption process

Liow

Kenney

1990

AIChE Journal

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The backfill cycle in the pressure swing adsorption (PSA) separation of air to produce an enriched oxygen product using a zeolite 5 A molecular sieve was studied theoretically and experimentally. The effects of the backfill cycle, cycle configuration, backfill rate, pressurisation rate, and product rate were studied. The theory agreed well with the experimental results in predicting the product oxygen concentration over a wide range of backfill pressures, thus giving a basic understanding of the bed dynamics of the backfill cycle. The theory showed that the backfill rate and adsorption capacity of the adsorbent were the most important parameters governing the efficiency of the PSA process. We showed that, given an adequate backfill pressure, a separate pressurization step could be omitted by incorporating it with the product release step with no detrimental effect on the product oxygen concentrations while increasing adsorbent productivity.

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Section: Numerical Solution Of the Modelmentioning

confidence: 99%

The backfill cycle of the pressure swing adsorption process

Liow

Kenney

1990

AIChE Journal

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“…It is assumed that the gas phase is ideal

false[ρ_{g} = P / R T; β = 1 / T false]

. An empirical correlation is used to estimate

D_{L}

…”

Section: Numerical Model For Simulation Of An Adiabatic and A Nonadiamentioning

confidence: 99%

“…An empirical correlation is used to estimate D L . 24,28 Equations 5-9 were simultaneously solved in conjunction with the above-described adsorption isotherm (Eq. 2), gassolid mass-transfer coefficient (Eq.…”

Section: Momentum Balance In Column (Ergun Model) 27mentioning

confidence: 99%

Comparative performance of an adiabatic and a nonadiabatic PSA process for bulk gas separation—a numerical simulation

Vemula

Sircar

2017

AIChE Journal

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A detailed numerical model of a Skarstrom‐like PSA process is used to investigate the separation performance of an adiabatic and a nonadiabatic process for removal of bulk CO2 impurity from inert He. The complexity of the gas phase adsorbate composition, adsorbate loading, and the adsorbent temperature profiles as functions of positions inside an adsorber at the start and end of each step of the PSA process are discussed. The separation performance of a nonadiabatic PSA process is generally inferior to that of the corresponding adiabatic process. Smaller adsorbent column diameter accentuates nonadiabatic operation and hence lower separation efficiency. Furthermore, the separation efficiency decreases more rapidly at short cycle times and smaller column diameters. Insulation of PSA columns of a process development unit operated under these conditions is recommended for reliable data analysis. © 2017 American Institute of Chemical Engineers AIChE J, 63: 4066–4078, 2017

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“…Chemical Engineering li terature contains extensive work on gas dispersion in packed beds, bu t that literature usually is only interes ted in flows with P > 1 , a nd unif orm particle size . At P > 1 e e it is assumed that lateral diffusion will have an adequate effect to eliminate a xial dispersion (Langer et al , 1978;Ruthven, 1984).…”

Section: Gas Phase Disp Ersionmentioning

confidence: 99%