基于汽油分子组成的辛烷值模型开发

建立了一种基于Ghosh RON模型的改进了分子组成的预测汽油辛烷值的模型,能够通过调合组分分子组成和调合比例预测调合汽油产品的研究法辛烷值.该改进模型以汽油馏分的488种烃分子及含氧化合物为基础,并综合考虑了总芳烃与总烷烃、总烯烃、总环烷烃、含氧化合物4类组分之间的相互作用对辛烷值的影响.采用改进模型对直馏石脑油、重...

Development of Octane Model Based on Molecular Composition of Gasoline

A molecular composition based gasoline octane numberprediction model was proposed， which can predictnot only the octane number of diverse blending gasoline components but alsoblended gasoline products by the use of blending the molecular composition andblending ratio of the components. The proposed model was based on 488hydrocarbon molecules and oxygenates of the gasoline. The effect ofinteractions on octane number in detail was taken into account, which are amongthe total aromatics and the total alkanes， total olefins， total naphthenes， oxygenates fourcomponents. The improved model was used to predict various gasoline blendingcomponents with measured research octane number from 45 to 108 in refineriessuch as straight run naphtha， reformed oil and FCCgasoline， and the standarderror of model prediction result was 0.21. For the gasoline blending process， six different measuredresearch octane number blended gasoline products are predicted， and the standard error ofmodel prediction result is 0.69. The prediction results demonstrate that theproposed model is independent on the quantity， type or property of theblended components， and has robustprediction accuracy for both different gasoline blending components and blendedgasoline products.