首页> 外文会议>International Conference Petroleum Phase Behavior and Fouling >Application of the Conduct-like Screening Models for Real Solvent and Segment Activity Coefficient for the Predictions of Partition Coefficients and Vapor-Liquid and Liquid-Liquid Equilibria of Bio-oil-Related Mixtures
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Application of the Conduct-like Screening Models for Real Solvent and Segment Activity Coefficient for the Predictions of Partition Coefficients and Vapor-Liquid and Liquid-Liquid Equilibria of Bio-oil-Related Mixtures

机译:用于实际溶剂和分段活性系数的电导样筛选模型的应用,用于预测分配系数和汽液和液液与生物油相关混合物的液体液体平衡

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The 1-octanol/water partition coefficients (log P) at 298.1S K and the vapor-liquid and liquid-liquid equilibria (VLB and LLE) of biofuel-related mixtures have been predicted with four different thermodynamic models: conduct-like screening models for real solvent (COSMO-RS), conduct-like screening models for segment activity coefficient (COSMO-SAC) (2002 version), modified COSMO-SAC (2006 version), and universal functional activity coefficient (UNIFAC). The 2002 version of COSMO-SAC gives more reasonable predictions for log P for most investigated mixtures than the other two approaches when appropriate molecular geometries are chosen for the computation of the o profiles. However, the COSMO-RS model gives better predictions for VLB pressures and vapor-phase compositions for biofuel-related mixtures, as well as for the LLE of the 1-octanol + water and furfural + water mixtures. The accuracy of the models for the predictions of the partition coefficients and VLE may be improved by changing the molecular conformations used to generate the σ profiles. Generally, the three COSMO-based models give better predictions than UNIFAC for log P and VLE of the investigated systems and can be applied to predict the thermodynamic properties of the biofuel-related mixtures especially when no experimental data are available.
机译:298.1秒的1-辛醇/水分配系数(LOG P)和生物燃料相关混合物的蒸汽液和液体平衡(VLB和LLE)有四种不同的热力学模型:进行筛选模型真实的溶剂(COSMO-RS),段活动系数(COSMO-SAC)(2002版),改进的COSMO-SAC(2006版)和通用功能活性系数(UNIFAC)进行般的筛选模型。 2002年版本的Cosmo-SAC为大多数调查混合物提供了更合理的预测,对于当时选择适当的分子几何形状的其他两种方法,用于计算O配置文件。然而,COSMO-RS模型为生物燃料相关混合物的VLB压力和气相组成提供了更好的预测,以及1-辛醇+水和糠醛+水混合物的lec。通过改变用于生成Σ配置文件的分子构象,可以提高用于预测分区系数和VLE的模型的准确性。通常,三个基于COSMO的模型提供比对LOG P的UNIFAC和调查系统的VLE更好的预测,并且可以应用于预测生物燃料相关混合物的热力学性质,特别是当没有使用实验数据时。

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