کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
230568 1427389 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
High-pressure gas solubility in multicomponent solvent systems for hydroformylation. Part II: Syngas solubility
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
High-pressure gas solubility in multicomponent solvent systems for hydroformylation. Part II: Syngas solubility
چکیده انگلیسی


• New experimental data of syngas solubility in hydroformylation solvents.
• Increasing syngas solubility with increasing temperature modeled by PC-SAFT using temperature-independent parameters.
• Qualitative predictions of multicomponent systems containing syngas using PC-SAFT.

High-pressure solubility of syngas with a molar ratio of hydrogen (H2) and carbon monoxide (CO) of 1:1 was investigated in various solvents like n-decane, dimethylformamide (DMF), 1-dodecene and n-dodecanal as well as in mixtures of n-decane and DMF and in a mixture of 1-dodecene, n-dodecanal, n-decane and DMF at temperatures between 302 K and 367 K and at pressures of up to 14 MPa. Moreover, the H2 solubility in 1-dodecene and n-dodecanal was measured in the same pressure and temperature range. The solubility measurements were performed in a high-pressure volume-variable view cell using a visual synthetic method. For modeling and prediction of the gas solubility (H2, CO, and syngas (H2/CO)) in the considered solvents, the Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT) was used. The systems containing one gas (H2 or CO) and one solvent were modeled accurately by applying temperature-independent binary interaction parameters (kij's). These kij's were used to predict the syngas solubility in pure solvents and their mixtures without further adjustments. The kij between H2 and CO was always set to zero. The results showed that PC-SAFT is able to predict the syngas solubility in pure solvents with an average relative deviation of 3.1–12.0%. Syngas solubility in the n-decane/DMF mixture was predicted with a deviation of 7.2%.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of Supercritical Fluids - Volume 88, April 2014, Pages 74–84
نویسندگان
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