首页> 中文期刊> 《石油炼制与化工》 >大港石化调合柴油冷滤点模型的研究

大港石化调合柴油冷滤点模型的研究

         

摘要

The change law of cold filter plugging point(CFPP) for various diesels was studied using diesel from Dagang Petrochemical Company as a case study. Results show that the cold flow properties of diesel are improved by blending various diesel components and the optimum blending ranges for Dagang diesel product are obtained as follows; 30%-55% of straight run diesel,0-40% of hydrotreated diesel and the rest for FCC diesel,the more FCC diesel is added,the lower CFPP is obtained. A model with a precision of 2℃ to predict the GFPP of blended diesel is set up adopting the idea of piecewise function and processing data by numerical analysis software MATLAB. Thus, the qualities of diesel product during blending could be controlled. Through component analysis of various diesel fractions,it is concluded that the CFPP of diesel is highly depended on the wax content of the fuel,usually CFPP increases with the increase of wax content. CFPP relates with the total amount of wax content and n-alkane content in the blending stock,without direct relationship with saturates content.%以中国石油大港石化分公司的柴油为研究对象,对不同柴油的冷滤点变化规律进行探索和研究,通过油品调合改善油品的低温流动性,得到适宜的柴油馏分调合比例为:常压直馏柴油30%~55%;加氢精制柴油0~40%;催化裂化柴油加入量越多,调合柴油的冷滤点越低.采用分段函数的思想,通过数值分析软件MATLAB进行数据处理,建立柴油冷滤点的预测模型,精度在2℃以内,实现了对油品质量的控制.通过对各柴油馏分的组成进行分析,得出柴油中蜡含量对柴油的冷滤点有决定性影响,通常情况下蜡含量较高的油品其冷滤点较高;冷滤点由调合后油品中的正构烷烃含量和蜡含量共同决定,与柴油中饱和分含量无直接对应关系.

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