Effect of fluid dispersion coefficients on particle-to-fluid mass transfer coefficients in packed beds

Wakao, Noriaki; Kaguei, S.; Funazkri, T.

doi:10.1016/0009-2509(78)85120-3

Cited by 841 publications

(347 citation statements)

References 30 publications

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“…Under most circumstances, intraparticle resistance is of greater importance than external film resistance in determining the overall mass transfer rate [39]. If the film coefficient is estimated through the Wakao and Funazkri correlation [44], > N 2 , in good agreement with our experimental results; the larger quadrupole moment and polarizability of CO 2 compared to that of N 2 leads to stronger molecular interactions and faster sorption rates [47]. This trend in the magnitude of the mobility parameters (CO 2 >N 2 ) has been observed for other molecular sieving carbons [48].…”

Section: Fixed-bed Adsorption Experimentsmentioning

confidence: 99%

Sustainable biomass-based carbon adsorbents for post-combustion CO2 capture

González

Plaza

Rubiera

et al. 2013

Chemical Engineering Journal

227

128

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Sustainable carbon adsorbents have been produced from biomass residues by single-step activation with CO 2 . The activation conditions were optimised to develop narrow micropores in order to maximise the CO 2 adsorption capacity of the carbons under post-combustion conditions. The equilibrium of adsorption of pure CO 2 and N 2 was measured between 0 and 50 ˚C up to 120 kPa for the outstanding carbons. The CO 2 adsorption capacity measured at low pressures is among the highest ever reported for carbon materials (0.6-1.1 mmol g -1 at 15 kPa and 25-50 ˚C), and the average isosteric heat of adsorption is typical of a physisorption process: 27 kJ mol -1 . Dynamic experiments carried out in a fixed-bed adsorption unit showed fast adsorption and desorption kinetics and a high CO 2 -over-N 2 selectivity. These adsorbents are able to separate a mixture with 14 % CO 2 (balance N 2 ) at 50 ˚C, conditions that can be considered as representative of post-combustion conditions, and they can be easily regenerated.

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Section: Fixed-bed Adsorption Experimentsmentioning

confidence: 99%

Sustainable biomass-based carbon adsorbents for post-combustion CO2 capture

González

Plaza

Rubiera

et al. 2013

Chemical Engineering Journal

227

128

View full text Add to dashboard Cite

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“…For pelleted systems the Wakao-Funazkri equation [11] is typically used to estimate k f Sh = 2 + 1.1Re 0.6 Sc 0.33 (4) For monolithic and laminate structures, Hawthorn's equation [12] for laminar flow is employed…”

Section: Mass Transfers Characteristicsmentioning

confidence: 99%

“…and the density of the composite adsorbent. The throughput attainable in a given volume of vessel in a cyclic adsorption system may be expressed as Throughput (TPD) ∝ gas production cycle × m ads × cycle day (11) Specific productivity = k WC (12) where m ads is the mass of adsorbent and k is a proportionality constant. The effect of pressure drop on the productivity is to reduce the overall working capacity.…”

Section: Criteria For the Assessment Of Adsorbent Structurementioning

confidence: 99%

Structured adsorbents in gas separation processes

Rezaei

Webley

2010

Separation and Purification Technology

236

209

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a b s t r a c tIn this review, novel structured adsorbents for gas separation processes are discussed. General requirements are elucidated and illustrated with respect to specific structures such as monoliths, foams, laminates, and fabric structures. Geometrical parameters of adsorbents which affect the system performance are identified and discussed. It is clear that opportunities for improvement and optimization of adsorptive gas separation processes should include the development of improved structured adsorbents. These novel structures can fulfil many of the requirements of advanced gas separation processes such as enhanced mass transfer, reduced pressure drop, and improved thermal management.

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“…The internal coefficient of mass transfer, K i , is calculated by Glueckauf (1955), K i = 5D p /R p . The external mass transfer coefficient , K e , is regarded for the correlation of Wakao and Funazkri (1978), Sh = 2.0 + 1.1Re 0.6 Sc 0.33 ,…”

Section: Resultsmentioning

confidence: 99%