Prediction of Physical Properties of Hydrocarbons, Petroleum, and Coal Liquid Fractions

详细信息    查看全文

• 作者：Evagelos Retzekas ; Epaminondas Voutsas ; Kostis Magoulas ; and Dimitrios Tassios
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2002
• 出版时间：March 20, 2002
• 年：2002
• 卷：41
• 期：6
• 页码：1695 - 1702
• 全文大小：106K
• 年卷期：v.41,no.6(March 20, 2002)
• ISSN：1520-5045

文摘

A simple method that uses the molecular structure and density as input parameters for theprediction of the normal boiling point (T_b), critical temperature (T_c), and critical pressure (P_c) ofpure hydrocarbons is presented. For T_b the average absolute error is 1.0% as compared to 3.3%for the Joback method and 2.9% for that of Stein and Brown. Its main advantage over the firstmethod lies with large molecular weight compounds and that over the second with highlybranched compounds. For the prediction of T_c, the average absolute error is 1% similar to thatof the Joback, Riazi, and Riazi-Daubert methods which, however, require knowledge of T_b.Finally, for P_c, the proposed method gives an average absolute error of 2.7% as compared to3.9% for the Joback method and 4.2% and 4.8% for the T_b-requiring methods of Riazi and Riazi-Daubert, respectively. The proposed method gives also better results for these three propertieswhen compared to the recently proposed and more difficult to use group interaction contributionmethod of Marejon and Fontevila. Using data for pure hydrocarbons, correlations have beendeveloped for the prediction of molecular weight (MW), T_c, and P_c of petroleum and coal liquidfractions. MW prediction gives an average absolute error of 4.1% as compared to 4.6% for theRiazi-Daubert method, and both methods provide better results for coal liquids than the Starlingand "single-parameter" expressions. T_c and P_c predictions with errors of 1.2% and 5.5% are similarto those of the Riazi-Daubert method, but no conclusion can be reached about the reliability ofthese methods because of the small number of available data.