金阳坤, 李进龙, 杜文莉, 等. Outlet Temperature Correlation and Prediction of Transfer Line Exchanger in an Industrial Steam Ethylene Cracking Process[J]. 中国化学工程学报(英文版), 2013,21(4):388-3941004-954160472-8.
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.
金阳坤, 李进龙, 杜文莉, 等. Outlet Temperature Correlation and Prediction of Transfer Line Exchanger in an Industrial Steam Ethylene Cracking Process[J]. 中国化学工程学报(英文版), 2013,21(4):388-3941004-954160472-8.DOI: 10.1016/S1004-9541(13)60472-8.
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.
Outlet Temperature Correlation and Prediction of Transfer Line Exchanger in an Industrial Steam Ethylene Cracking Process
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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