2013
DOI: 10.1016/j.supflu.2013.08.001
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Accurate hydrodynamic models for the prediction of tracer diffusivities in supercritical carbon dioxide

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Cited by 15 publications
(6 citation statements)
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“…In the particular case of unknown solutes, predictive models [18][19][23][24][25][26] are obviously required.…”
Section: Introductionmentioning
confidence: 99%
“…In the particular case of unknown solutes, predictive models [18][19][23][24][25][26] are obviously required.…”
Section: Introductionmentioning
confidence: 99%
“…Great effort has been devoted to creating expressions valid for predicting their diffusion in supercritical fluids, and the literature is rich in empirical models for their prediction. They can be commonly classified in two groups: models constructed on the base of rough hard sphere principles [ 21 , 22 , 23 ] and hydrodynamic models based on the Stokes–Einstein equation [ 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. A big number of these models present some limitations, failing in their estimations of D for polar or asymmetric solutes, or cannot be applied over a wide range of temperatures and pressures, nor near the critical point.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, it is of great importance to research and understand the supercritical behavior of fluids and their heat transfer processes. Literature can provide a few theoretical and empirical correlative models capable to predict diffusion coefficients, e.g., hydrodynamicbased models [14][15][16][17][18][19], but there is still insufficient information, namely, experimental data for a given system that can allow to accurately calculate the diffusion coefficient values, as it is the case of certain carbon mixtures, or the models fail in certain temperature and pressure conditions. The availability of accurate diffusion coefficients is key to validly mimic real geological conditions, becoming essential information to design and optimize any process involving supercritical CO 2 , namely, to model the migration behavior inside the reservoirs but also, to complement with other properties (solubility, vapor-liquid equilibrium, etc.)…”
Section: Introductionmentioning
confidence: 99%