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

金阳坤; 李进龙; 杜文莉; 王振雷; 钱锋

doi:10.1016/S1004-9541(13)60472-8

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

过程系统工程与过程安全 | Updated：2026-01-06

- Outlet Temperature Correlation and Prediction of Transfer Line Exchanger in an Industrial Steam Ethylene Cracking Process
- Chinese Journal of Chemical Engineering Vol. 21, Issue 4, Pages: 388-3941004-954160472-8(2013)
- Affiliations：
  
  2 Institute of Automation, East China University of Science and Technology,Shanghai,China,200237
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(13)60472-8
  CLC：
- Published：2013
- Accepted：
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JIN Yangkun, LI Jinlong, DU Wenli, WANG Zhenlei, QIAN Feng . Outlet Temperature Correlation and Prediction of Transfer Line Exchanger in an Industrial Steam Ethylene Cracking Process[J]. Chin.J.Chem.Eng., 2013, 21(4): 388-394.
DOI：

JIN Yangkun, LI Jinlong, DU Wenli, WANG Zhenlei, QIAN Feng . Outlet Temperature Correlation and Prediction of Transfer Line Exchanger in an Industrial Steam Ethylene Cracking Process[J]. Chin.J.Chem.Eng., 2013, 21(4): 388-394. DOI： 10.1016/S1004-9541(13)60472-8.

摘要

Abstract

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 parametric 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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