Relating Gas Dispersion in Porous Media to Medium Tortuosity and Anisotropy Ratio

Pugliese, Lorenzo; Poulsen, Torben; Andreasen, R.

doi:10.1007/s11270-012-1176-7

Cited by 16 publications

(10 citation statements)

References 56 publications

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“…The value for e is presented in Table 1. Values for s for large wood particles have been reported within the range of 1-3 [32,33]. s is equal to 2 in the present study.…”

Section: Internal Mass Transfer Resistancesupporting

confidence: 71%

A study of high pressure pinewood char gasification with CO2

Sircar¹,

Sane²,

Weichao³

et al. 2014

Fuel

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“…The value for e is presented in Table 1. Values for s for large wood particles have been reported within the range of 1-3 [32,33]. s is equal to 2 in the present study.…”

Section: Internal Mass Transfer Resistancesupporting

confidence: 71%

A study of high pressure pinewood char gasification with CO2

Sircar¹,

Sane²,

Weichao³

et al. 2014

Fuel

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“…More regular and evident increase is exhibited from α g for increasing R, ranging between 3.8 and 25.5 mm. This is likely because increasing R causes increasing pore network tortuosity, and thus, increasing dispersion [32,33]. The α -D m relationship is somewhat more complex but α is generally largest for small values of D m , for both NaCl and O 2 .…”

Section: Resultsmentioning

confidence: 99%

Relating solute and gas dispersion in gravel at different transport velocities

Pugliese¹,

Poulsen²,

Straface³

2013

Computational Methods in Multiphase Flow VII

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Dispersion is a key process controlling transport of solutes and gases in porous media. Performing tracer tests for dispersion measurements with solutes is generally much more time consuming compared to used gases. The goal of this study is to estimate the solute dispersion based on gas dispersion measurements to reduce time consumption. Solute (chloride ion) breakthrough curves were measured at different fluid velocities, covering the identical Reynolds range used in a previous study on gas dispersion. Commercial gravel, consisting of solid particles, has been used as a porous medium. Chloride and oxygen dispersion coefficients were determined based on the measured breakthrough data and in turn used to calculate solute and gas dispersivities as a function of the particle size (D m ) and particle size range (R). Solute dispersivity increased with increasing particle size range, in agreement with the previous study. Data showed that dispersivity increases more gradually with decreasing mean diameter.

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“…Its predictive use has been demonstrated by reproducing tortuosity data published by Pugliese et al (2012), by using the geometry data published therein: the particles dimensions, their orientation and the medium porosity. With an ad-hoc characterization, including, for example, the particles average volume, better predictions can be expected.…”

Section: Discussionmentioning

confidence: 99%

“…As a further validation of the model and as a demonstration of its possible use in the prediction of the transport properties of a porous medium by a simple geometrical characterization of its components, the experimental tortuosity results published by Pugliese et al (2012) are examined. The authors measured gas diffusion through porous media made by packing three different materials: slate chips, wood chips and pebbles of similar dimensions.…”

Section: Experimental Validationmentioning

confidence: 99%

“…In particular, the slate chips, which average dimensions are 36, 19 and 5.9 mm, have been represented as parallelepipeds with Table 2, the five materials are schematically described together with the corresponding model and experimental tortuosity values. Material names, porosity and experimental tortuosity are taken from Table 2 of Pugliese et al (2012). In the second column, the lengths, in grid units, of the side of the model parallelepipeds in the direction of the flow are reported, while in the third column, the corresponding α values are shown.…”

Section: Experimental Validationmentioning

confidence: 99%

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A Geometrical Study of the Tortuosity of Anisotropic Porous Media

Pisani

2016

Transp Porous Med

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In this article, the dependence of tortuosity on the geometrical structure of a porous medium is studied. In particular, the considered porous media have anisotropic structures, being composed by a collection of object of similar shape, with a well-defined orientation. Geometrical expressions for the tortuosity as a function of the porosity, of shape factors characterizing the geometry of the solid objects and of the orientation of the flow with respect to the object axes are derived. Besides the general case, two simpler expressions are derived for 2D porous media and for media composed by axisymmetric objects. The expressions for the two particular cases are validated through a series of numerical simulations of diffusion phenomena, finding a good agreement. The model is also compared with experimental data from literature, showing its possible use in the prediction of the transport properties of a porous medium made by assembling similar solid particles, by a simple geometrical characterization of its components. Finally, a parametric analysis is performed, showing a strong dependence of the tortuosity on the objects shape and on their orientation with respect to the flow. The capability of the presented model to predict such effects can be used to design materials with particular non-isotropic transport characteristics.

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Relating Gas Dispersion in Porous Media to Medium Tortuosity and Anisotropy Ratio

Cited by 16 publications

References 56 publications

A study of high pressure pinewood char gasification with CO2

A study of high pressure pinewood char gasification with CO2

Relating solute and gas dispersion in gravel at different transport velocities

A Geometrical Study of the Tortuosity of Anisotropic Porous Media

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