Improvement of Methane Storage Capacity in Activated Carbon Bed With Bidisperse Packing

Santos, J.C.; Lima, João Alberto Lins de; Gurgel, José Maurício; Marcondes, Francisco

doi:10.1590/0104-6632.20190362s20180078

Cited by 5 publications

(4 citation statements)

References 29 publications

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“…of the model is performed assuming δ = 1 and x D = 0 in the interparticle porosity equation defined in Santos et al [25]. In this case, the bidisperse model reproduces the particular case of a monodisperse bed for which the experimental results are available in the literature.…”

Section: Numerical Methods and Code Validationmentioning

confidence: 99%

“…The interparticle porosity of the bed, ε, the fractional porosity of small particles, ε d , the fractional porosity of large particles, ε D , and the intraparticle porosity of large and small particles, ε pD and ε pd , in conjunction with packing density in bidisperse beds, ρ b , are defined in Santos et al [25].…”

Section: Porosities and Packing Density In Bidisperse Bedsmentioning

confidence: 99%

“…For bidisperse beds, as described in Santos et al [25], the particle size ratio, δ = d/D, influences the interparticle porosity and packing density. If the particle size ratio is reduced, the interparticle porosity decreases and the packing density increases.…”

Section: Influence Of the Particle Size Ratio On The Pressure Drop Ac...mentioning

confidence: 99%

“…The experimental results showed that the diameter ratio between the large and small particles, the diameter of the small particles, and the percentage of volume of the small particles in the bed are all critical for the optimization of the PSA process. Santos et al [25] developed a numerical study of the methane adsorption dynamics in activated carbon bidisperse bed. Five particle size ratios (d/D) were studied: 1 (monodisperse packing), 1/5, 1/10, 1/15, and 1/20.…”

Section: Introductionmentioning

confidence: 99%

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Modelling and simulation of water vapor adsorption in silica gel bidisperse beds

Santos¹,

Lima

Gurgel

et al. 2021

J Braz. Soc. Mech. Sci. Eng.

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Desiccant cooling systems are widely recognized as an alternative technology to vapor compression cooling. Desiccant systems are attractive for air conditioning applications due to the possible use of low-grade heat and green refrigerants in their operation. In such systems, air dehumidification is achieved using bed compacted with desiccant materials such as silica gel, activated alumina, and zeolite. Desiccant systems, on the other hand, present a low coefficient of performance due to the poor heat and mass transfer in the adsorbent bed. A way to enhance the heat and mass transfer in desiccant systems can be accomplished by optimizing the adsorbent packing in the bed. This paper presents a numerical investigation of the dynamics of water vapor adsorption in silica gel bidisperse bed. The adsorbent bed is compacted with particles of two different sizes to reduce the voids between the adsorbent particles and hence increase the amount of desiccant and the adsorbed water mass in the bed. The effect of bidisperse packing in the air dehumidification capacity and adsorbed water mass is studied. The influence of the pressure drop applied on the adsorbent column and the inlet air conditions in the dehumidification process is also investigated. The numerical results showed that bidisperse packing increases the dehumidification capacity (improvement of 22.9%) and the amount of water adsorbed (improvement of 25%) in the bed compared to the case where monodisperse packing is applied to the system, contributing to the improvement in the performance of desiccant beds in air conditioning applications.

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Section: Numerical Methods and Code Validationmentioning

confidence: 99%

Section: Porosities and Packing Density In Bidisperse Bedsmentioning

confidence: 99%

Section: Influence Of the Particle Size Ratio On The Pressure Drop Ac...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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