详细信息
灵活多效催化裂化工艺反应动力学模型研究 ( EI收录)
Reaction Kinetic Model for Flexible Dual-Riser Fluid Catalytic Cracking Process
文献类型:期刊文献
中文题名:灵活多效催化裂化工艺反应动力学模型研究
英文题名:Reaction Kinetic Model for Flexible Dual-Riser Fluid Catalytic Cracking Process
作者:欧阳福生[1];凌巧[1];虞正恺[1]
机构:[1]华东理工大学石油加工研究所,上海200237
年份:2015
卷号:29
期号:5
起止页码:1106
中文期刊名:高校化学工程学报
外文期刊名:Journal of Chemical Engineering of Chinese Universities
收录:CSTPCD;;EI(收录号:20154601546757);Scopus;北大核心:【北大核心2014】;CSCD:【CSCD2015_2016】;
语种:中文
中文关键词:催化裂化;灵活多效催化裂化工艺;集总;动力学模型
外文关键词:catalytic cracking; FDFCC process; lumping; kinetic model
摘要:根据催化裂化反应机理和灵活多效催化裂化(FDFCC)工艺特点,结合中试数据,分别确定了针对FDFCC工艺重油提升管的10集总和汽油提升管的7集总反应网络。将重油提升管中胶质沥青质向汽油、气体的裂化作为二级反应,其余(包括汽油提升管中全部反应)均作为一级不可逆反应,分别建立了10集总和7集总反应动力学模型。通过Runge-Kutta法与变尺度法(BFGS)相结合求取了模型的动力学参数。对动力学参数的分析表明,所求得的模型参数能够较好地反映催化裂化反应规律和FDFCC-Ⅲ工艺特点。模型对产品的计算值与实际值的相对偏差均小于5%,表明所开发的集总模型是可靠的。
Based on the reaction mechanism of heavy oil catalytic cracking and the characteristics of flexible dual-riser fluid catalytic cracking(FDFCC) process and combined with the data from the pilot plant, the reaction networks of a 10-lump kinetic for heavy oil riser reactor and a 7-lump kinetic for gasoline riser reactor were proposed, respectively. The cracking reactions of resin and asphaltene into gasoline and gases in heavy oil riser reactor were described as second order reaction, and the others in heavy oil riser and all reactions in gasoline riser were considered as first-order irreversible reactions. Then the models for the two riser reactors were established to simulate and optimize the process. On the basis of pilot plant data, the parameters for the 10-lump model and the 7-lump kinetic model were calculated by the combination of Runge-Kutta method and Broyden Fletcher Goldfard Shanno(BFGS) method, respectively. The analysis results for the parameters show good consistence with the reaction rules of heavy oil catalytic cracking and the characteristics of FDFCC- Ⅲprocess. The relative errors between calculated values by the models and actual values of products are all less than 5% and indicate that the models established are reliable.
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