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Outlet Temperature Correlation and Prediction of Transfer Line Exchanger in an Industrial Steam Ethylene Cracking Process

ISSN号：1004-9541
期刊名称：《中国化学工程学报：英文版》
时间：0
分类：TQ221.211[化学工程—有机化工] TQ541[化学工程—煤化学工程]
作者机构：[1]Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China, [2]Institute of Automation, East China University of Science and Technology, Shanghai 200237, China
相关基金：Supported by the Major State Basic Research Development Program of China （2012CB720500）, the National Natural Science Foundation of China （U1162202, 21276078）, the National Science Fund for Outstanding Young Scholars （61222303）, the Shanghai Key Technologies R＆D Program （12dz1125100） and the Shanghai Leading Academic Discipline Project （B504）. ACKNOWLEDGEMENTS The authors are grateful to Sinopec Shanghai Petrochemical Company Ltd. for supplying the industrial data.

作者：金阳坤, 李进龙, 杜文莉, 王振雷, 钱锋

关键词：乙烯裂解炉, 模型预测, 工业环境, 出口温度, 温度相关性, 裂解工艺, 蒸汽, 输线器, transfer line exchanger, outlet temperature, parametric model, steam ethylene cracking

中文摘要：

预言最好关闭在工业实践的炉子由于复杂 coking 过程仍然是挑战的裂开的蒸气乙烯的时间。也知道，一个炉子的 shutdown 时间被转移线 exchangers (TLE ) 的 coking 状况主要决定石油或另外的重烃化工物品是否被击碎。在实践，处于复杂工业状况通过试验性的方法在 TLE 测量焦炭厚度是困难的。然而，自从在 TLE 的焦炭累积在 TLEOT 上有大影响， TLE (TLEOT ) 的插头温度能间接地在 TLE 描绘 coking 状况。因此， TLEOT 能是在决定什么时候关掉炉子到 decoke 的一个关键因素。预言 TLEOT，一个参量的模型在这个工作被建议基于理论分析，数学减小，和参数评价。建议模型的可行性进一步与最大的偏差通过在模型预言之间的工业数据和工业数据被检查 2% 被观察。

英文摘要：

Predicting the best shutdown time of a steam ethylene cracking furnace in industrial practice remains a challenge due to the complex coking process. As well known, the shutdown time of a furnace is mainly determined by coking condition of the transfer line exchangers （TLE） when naphtha or other heavy hydrocarbon feedstocks are cracked. In practice, it is difficult to measure the coke thickness in TLE through experimental method in the complex industrial situation. However, the outlet temperature of TLE （TLEOT） can indirectly characterize the coking situation in TLE since the coke accumulation in TLE has great influence on TLEOT. Thus, the TLEOT could be a critical factor in deciding when to shut down the furnace to decoke. To predict the TLEOT, a paramewic model was proposed in this work, based on theoretical analysis, mathematic reduction, and parameters estimation. The feasibility of the proposed model was further checked through industrial data and good agreements between model prediction and industrial data with maximum deviation 2% were observed.

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