连续催化重整集总模型参数估计效率的优化 |
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引用本文: | 杨向文 陈夕松 杨卫 蒋宇. 连续催化重整集总模型参数估计效率的优化[J]. 石油炼制与化工, 2022, 53(7): 92-98 |
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作者姓名: | 杨向文 陈夕松 杨卫 蒋宇 |
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作者单位: | 1. 东南大学自动化学院;2. 南京富岛信息工程有限公司; |
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基金项目: | 高性能原油在线调合平台研发;高端原油调合调度一体化系统软件研发 |
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摘 要: | 连续催化重整(简称重整)过程的流程模拟需要高效精准的模型,目前多采用先根据反应物动力学特性划分集总,建立初始模型,然后使用实验室或实际生产数据对模型进行参数估计的方法。但由于集总组分之间反应速率相差较大,模型存在较强刚性,导致模型参数估计困难,存在耗时长、收敛性差的问题。针对上述问题,提出了使用准稳态假设简化集总模型中刚性组分计算的方法,先将刚性集总模型转换为非刚性集总模型,再对该模型进行参数估计。结果表明,对于连续重整带刚性30集总模型,该方法可有效简化集总模型,在基本不降低模型计算精度的条件下,显著提升了模型参数估计效率。
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关 键 词: | 连续催化重整 集总模型 准稳态假设 参数估计 |
收稿时间: | 2021-11-16 |
修稿时间: | 2022-03-01 |
IMPROVING ESTIMATION EFFICIENCY OF LUMPED MODEL PARAMETERS FOR CONTINUOUS CATALYTIC REFORMING |
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Abstract: | The process simulations of continuous catalytic reforming needs high-efficient and accurate model. At present, the initial model is established by lumping according to the kinetic characteristics of the reactants, and the model is then estimated using laboratory or actual production data. However, because of the large difference in reaction rate between the lump components, the model has strong rigidity, which makes it difficult to estimate the parameters of the model and has the problems of time-consuming and poor convergence. In order to solve these problems, a quasi-steady-state assumption was proposed to simplify the calculation of the rigid components in the lumped model. The results show that this method can effectively simplify the lumped model for the 30 lumped model with continuous reforming band, and improve the estimation efficiency of model parameters. |
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Keywords: | continuous catalytic reforming lumped model quasi-steady-state assumption parameter estimation |
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