基于烃族组成的汽油调合优化模型研究  

STUDY ON THE GASOLINE BLENDING OPTIMIZATION MODEL BASED ON HYDROCARBON GROUP COMPOSITION

作　　者：张希发[1] 任连岭[1] 刘长法[2] 孙越鹏 

机构地区：[1]总后勤部油料研究所,北京102300 [2]空军后勤部油料供应处 [3]北京军区油料训练大队

出　　处：《石油炼制与化工》2012年第6期93-97,共5页Petroleum Processing and Petrochemicals

摘　　要：为保证汽油质量合格率和提高收益,确定汽油理化性质与烃族组成的定量关系,建立汽油调合优化模型,给出目标函数和约束条件的具体形式。根据模型特征,选用伴随方程解法对模型求解。模型应用结果表明,所建模型预测精度高,为配方优化和产品质量预测提供了技术基础。Gasoline blending model is a key factor for ensuring the qualified rate of gasoline product,as well as to improve profit.In this paper the quantitative relationship between physicochemical property and hydrocarbon group composition of gasoline is figured out to study the optimization of gasoline blending model,and the concrete forms of objective functions and constraint conditions are provided.According to the characteristics of this model,it is solved by adjoint equation method.Case studies of adopting this model show that the precision of model prediction is high,thus,it can provide technical foundation for optimizing gasoline blending and predicting product quality indexes.

关 键 词：汽油调合 烃族组成 理化性质 逐步线性回归 数学模型 

分 类 号：TE626.21[石油与天然气工程—油气加工工程]