摘要
以两种加氢裂化催化剂的数学关联式为基础,结合六集总动力学模型求得不同催化剂床层的转化率,实现了对轻石异构烃含量、重石芳潜、喷气燃料烟点、柴油凝点及尾油BMCI(芳烃关联指数)值等加氢裂化催化剂级配工艺产品性质的预测。当计算结果偏离实验结果较大时,通过调整部分模型参数,很好地预测了加氢裂化催化剂级配实验的产品性质,预测误差均在5%以内,具有一定的工业应用价值。
On the basis of mathematic correlations of two types of hydrocracking catalysts,the conversions of different catalyst beds are obtained by 6-lump dynamic model,and the properties of hydrocracking products of catalyst grading process are predicted such as the content of iso-hydrocarbon in light naphtha,the aromatics potential content in heavy naphtha,smoke point of jet fuel,solidifying point of diesel and BMCI of tail oil,etc.When the calculation results deviate greatly from the laboratory data,the properties of hydrocracking products of catalyst grading process can be satisfactorily predicted by adjustment of some model parameters.The prediction error is within 5%.It is good for commercial application.
出处
《炼油技术与工程》
CAS
2013年第9期57-60,共4页
Petroleum Refinery Engineering
基金
国家十二五科技支撑计划基金资助项目(2012BAE05B04)
加氢裂化催化剂级配技术研究基金资助项目(101102)
关键词
减压蜡油
加氢裂化
催化剂级配
产品性质
vacuum gas oil
hydrocracking
catalyst grading
product properties