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Determining phase diagrams of tetrahydrofuran+methane, carbon dioxide or nitrogen clathrate hydrates using an artificial neural network algorithm

Abstract : In this communication, we have developed a feed-forward artificial neural network algorithm for estimating dissociation pressures of the binary clathrate hydrates of tetrahydrofuran+methane, carbon dioxide or nitrogen as a function of temperature and concentration of tetrahydrofuran in the aqueous solution below/equal its stoichiometric concentration (i.e., 0.056 mole fraction). In order to develop this algorithm, the most reliable experimental data reported in the literature on the dissociation pressures of the aforementioned binary hydrates have been used. Moreover, we report few experimental data on the dissociation pressures of the binary hydrates of tetrahydrofuran+carbon dioxide or nitrogen at 0.011 mole fraction of tetrahydrofuran in aqueous solution, which were measured using an isochoric pressure-search method. The latter experimental data are used to verify the reliability of the corresponding experimental data reported in the literature.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00573703
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Soumis le : vendredi 4 mars 2011 - 12:49:13
Dernière modification le : mercredi 14 octobre 2020 - 03:45:42

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Amir H. Mohammadi, José F. Martinez-Lopez, Dominique Richon. Determining phase diagrams of tetrahydrofuran+methane, carbon dioxide or nitrogen clathrate hydrates using an artificial neural network algorithm. Chemical Engineering Science, Elsevier, 2010, 65 (22), pp.6059-6063. ⟨10.1016/j.ces.2010.07.013⟩. ⟨hal-00573703⟩

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