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Evaluation of the PC-SAFT, SAFT and CPA equations of state in predicting derivative properties of selected non-polar and hydrogen-bonding compounds

机译:评估PC-SAFT,SAFT和CPA状态方程在预测选定的非极性和氢键化合物的导数性质中的评估

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In order to provide a comprehensive understanding of the potential and limitations of the PC-SAFT, SAFT and CPA equations-of-state, this study offers insight into their application for the prediction of derivative properties over extensive ranges of pressure and temperature. The ability of these models to predict selected properties (heat capacities, pressure-volume derivative, pressure-temperature derivative and speed of sound) are evaluated for n-alkanes and 1-acohols. For n-alkanes, it is shown that the cubic term of CPA is unable to describe the pressure-volume derivative at high pressures, which is a major shortcoming in predicting derivative properties compared to SAFT-based models. Although PC-SAFT and SAFT provide a substantially better prediction of the pressure-volume derivative than CPA, they are still not accurate enough to obtain good speed of sound predictions. All three models are unable to accurately correlate the isochoric heat capacity, indicating an incorrect temperature dependency in these models. PC-SAFT shows peculiar behaviour in the description of the isobaric heat capacity of alkanes that can be traced back to the incorrect description of the pressure-temperature derivative. For 1-alcohols, both CPA and PC-SAFT accurately predict the isobaric heat capacity when modelled with the 3B association scheme, while SAFT is unable to capture the singularities present in the property irrespective of the association scheme used. None of the models are able to predict the speed of sound accurately, because the terms describing physical interactions result in poor estimates of the pressure-volume derivative that governs the property.
机译:为了全面了解PC-SAFT,SAFT和CPA状态方程的潜力和局限性,本研究深入了解了它们在预测压力和温度范围内的导数性质时的应用。对于正构烷烃和1-醇,评估了这些模型预测所选特性(热容量,压力-体积导数,压力-温度导数和声速)的能力。对于正构烷烃,表明CPA的三次项无法描述高压下的压力-体积导数,与基于SAFT的模型相比,这是预测导数特性的主要缺点。尽管PC-SAFT和SAFT提供了比CPA更好的压力-体积导数预测,但是它们仍然不够准确,无法获得良好的声音预测速度。所有这三个模型都无法准确关联等容热容量,表明这些模型中的温度依赖性不正确。 PC-SAFT在描述烷烃的等压热容时显示出特殊的行为,这可以追溯到对压力-温度导数的错误描述。对于1醇,使用3B关联方案进行建模时,CPA和PC-SAFT均可准确预测等压热容,而无论使用哪种关联方案,SAFT都无法捕获特性中存在的奇异性。这些模型都无法准确预测声音的速度,因为描述物理相互作用的术语导致无法确定控制该特性的压力-体积导数。

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