Modeling and Experimental Studies of Adsorptive Dewatering of Selected Aliphatic Alcohols in Temperature Swing Adsorption System

Ambrożek, B.; Nastaj, J.; Gabruś, E.

doi:10.1080/07373937.2013.823442

Cited by 13 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The diffusion coefficient changed from 7.77 Â 10 À9 m 2 =s for the original sludge to 7.01 Â 10 À9 m 2 =s for the mixed sludge and then increased to 8.35 Â 10 À9 m 2 =s for the mixture of a mass ratio of 4=6. These results are within the normally expected range of D eff (10 À11 to 10 À9 m 2 =s) [43] and they are similar to those results obtained in the case of sludge by Bennamoun et al [5] and Reyes et al, [8] for mushrooms by Xanthopoulos et al, [44] for potatoes by Ruiz-Ló pez et al, [45] and for beads by Ambrożek et al [46] As can be seen, the comparison presented in Table 6 confirmed that neglecting the shrinkage effect can produce erroneous results. This is reflected in two aspects: first, because the diffusion coefficient calculated without consideration of shrinkage was bigger than the value obtained when shrinkage was considered.…”

Section: Determination Of the Diffusion Coefficient Throughsupporting

confidence: 79%

Analysis of the Shrinkage Effect on Mass Transfer During Convective Drying of Sawdust/Sludge Mixtures

Bennamoun

Fraikin

et al. 2014

Drying Technology

View full text Add to dashboard Cite

Convective drying of wastewater sludges and sawdust/sludge mixtures was studied. The first part of this work was an experimental study performed in a cross-flow convective dryer using 500 g of wet material extruded through a disk with circular dies of 12 mm. The results showed that the sawdust addition has a positive impact on the drying process from a mass ratio of 2/8, on a dry basis, with observed drying rates higher than the original sludge. The second part of this work consisted of developing a drying model in order to identify the internal diffusion coefficient and convective mass transfer coefficient from the experimental data. A comparison was made between fitted drying curves, well represented by the Newton's model, and the analytical solutions of the diffusion equation applied to a finite cylinder. Variations of dimensional characteristics, such as the volume and exchange surface of the sample bed, were obtained by X-ray tomography. This technique allowed us to confirm that shrinkage, which is an important phenomenon occurring during sludge and sawdust/sludge mixture drying, must be taken into account. The results showed that both the internal diffusion coefficient and convective mass transfer coefficient were affected by mixing and sawdust addition. The internal diffusion coefficient changed from 7.77 Â 10 À9 m 2 /s for the original sludge to 7.01 Â 10 À9 m 2 /s for the mixed sludge and then increased to 8.35 Â 10 À9 m 2 /s for the mixture of a mass ratio of 4/6. The convective mass transfer coefficient changed from 9.70 Â 10 À8 m/s for the original sludge to 8.67 Â 10 À8 m/s for the mixed sludge and then increased to 12.09 Â 10 À8 m/s for the mixture of a mass ratio of 4/6. These results confirmed that sawdust addition was beneficial to the sludge drying process as the mass transfer efficiency between the air and material increased. Reinforcing the texture of sludge by adding sawdust can increase the drying rate and decrease the drying time, and then the heat energy supply will be reduced significantly. The study also showed that neglecting shrinkage phenomenon resulted in an overestimation for the internal diffusion coefficient for the convective drying of sludges and sawdust/sludge mixtures.

show abstract

Section: Determination Of the Diffusion Coefficient Throughsupporting

confidence: 79%

Analysis of the Shrinkage Effect on Mass Transfer During Convective Drying of Sawdust/Sludge Mixtures

Bennamoun

Fraikin

et al. 2014

Drying Technology

View full text Add to dashboard Cite

show abstract

“…Although adsorption is an exothermic process, a common assumption when modeling adsorptive processes in the liquid phase is to disregard the energy balance and assume an isothermal process due to the generally high heat capacities of liquids. , In order to verify the validity of this assumption for the case considered here, the maximum possible temperature increase, i.e., the temperature increase under adiabatic conditions, was calculated for experiment C2. The calculation method is described in detail in the Supporting Information.…”

Section: Modeling Methodologymentioning

confidence: 99%

“…The practice of adsorptive drying for liquid solvents is widespread in industry; however, the available scientific literature on this subject remains remarkably limited. Some studies have focused on drying nonpolar solvents such as toluene, benzene, or xylene using different adsorbents like zeolite 3A, zeolite 4A, and activated alumina. , Other studies have delved into the drying of alcohols on several adsorbents including zeolite 3A and 4A. − All of these investigations have primarily examined the equilibrium or kinetics of water adsorption while mostly disregarding the coadsorption of other components. Santos et al investigated the equilibrium and kinetics of the adsorptive drying of dimethyl carbonate on zeolite 3A under high-pressure conditions, revealing significant coadsorption of dimethyl carbonate within the adsorbent pores.…”

Section: Introductionmentioning

confidence: 99%

Adsorptive Drying of Liquid Mixtures Containing Formaldehyde, Methanol, Water, and Poly(oxymethylene) Dimethyl Ethers on Zeolite 3A

Ferre,

Zistler,

Burger

2024

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

The separation of water from mixtures containing formaldehyde, methanol, water, and poly(oxymethylene) dimethyl ethers (OME) is a fundamental step in the water-tolerant OME 3−5 production processes. Several approaches have been discussed in the literature, including pervaporation, reactive distillation, and adsorption. This study focuses on the adsorption on zeolite 3A. Building on prior research, we extend an existing equilibrium adsorption model for systems containing formaldehyde + methanol + water to systems containing OME. Experimental data on breakthrough curves of formaldehyde, methanol, and water from a laboratory-scale column are presented. A comprehensive column model, encompassing chemical and adsorption equilibria, adsorption kinetics, and fluid dynamics, accurately predicts the breakthrough curves. The regeneration of the zeolite 3A is shown experimentally. A stream table for a water-tolerant OME 3−5 production process including adsorption is given, showing that water can be separated from mixtures containing formaldehyde, methanol, and OME with a high selectivity.

show abstract

“…To achieve energy savings, the researchers proposed some suggestions for improving the design conditions without causing a significant impact on the purification performance. Ambro żek et al [17] conducted an analysis of adsorption drying for specific water-aliphatic alcohol solutions using mathematical modeling and experimental techniques. The developed isothermal model in this study incorporated various factors, such as liquid film mass transport, diffusion coefficients, variable axial diffusion, and experimentally derived Langmuir-Freundlich isotherms.…”

Section: Introductionmentioning

confidence: 99%

Development of an In-House Code for Dry Tower of Heat Transfer Analysis in Hydrogen Purification System

et al. 2023

View full text Add to dashboard Cite

The purity of hydrogen finally purified in the hydrogen purification process system is greatly influenced by the uniformity of the purification temperature of the dry tower. An in-house code that can be easily used by field designers has been developed to predict the capacity of the appropriate heat source and the time to reach the temperature of the dry tower. A code was developed to predict unsteady heat transfer using VBA. To verify the developed code, a grid independence test was performed, and finally, calculations were performed for two cases. The factor that influences the temperature history over time is the precise determination of values for the density, specific heat, and thermal conductivity of the heterogeneous materials composing the dryer tower. It was confirmed that the developed code well describes the actual test trend data of the regeneration process of adsorption and desorption, and it is judged that the code developed in the design process of various capacity systems will be effectively applied to the heat capacity calculation in the future.

show abstract

Modeling and Experimental Studies of Adsorptive Dewatering of Selected Aliphatic Alcohols in Temperature Swing Adsorption System

Cited by 13 publications

References 23 publications

Analysis of the Shrinkage Effect on Mass Transfer During Convective Drying of Sawdust/Sludge Mixtures

Analysis of the Shrinkage Effect on Mass Transfer During Convective Drying of Sawdust/Sludge Mixtures

Adsorptive Drying of Liquid Mixtures Containing Formaldehyde, Methanol, Water, and Poly(oxymethylene) Dimethyl Ethers on Zeolite 3A

Development of an In-House Code for Dry Tower of Heat Transfer Analysis in Hydrogen Purification System

Contact Info

Product

Resources

About