Prediction of Cracking Gas Compressor Performance and Its Application in Process Optimization*

Chinese Journal of Chemical Engineering ›› 2012, Vol. 20 ›› Issue (6): 1089-1093.

Prediction of Cracking Gas Compressor Performance and Its Application in Process Optimization^*

李绍军, 李凤

Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China

收稿日期:2012-04-17 修回日期:2012-07-25 出版日期:2012-12-28 发布日期:2012-12-28
通讯作者: LI Shaojun,E-mail:Lishaojun@ecust.edu.cn
基金资助:
Supported by the National Natural Science Foundation of China (20976048;21176072);the Fundamental Research Funds for the Central Universities

Prediction of Cracking Gas Compressor Performance and Its Application in Process Optimization^*

LI Shaojun, LI Feng

Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China

Received:2012-04-17 Revised:2012-07-25 Online:2012-12-28 Published:2012-12-28
Supported by:
Supported by the National Natural Science Foundation of China (20976048;21176072);the Fundamental Research Funds for the Central Universities

摘要/Abstract

摘要： Cracking gas compressor is usually a centrifugal compressor.The information on the performance of a centrifugal compressor under all conditions is not available,which restricts the operation optimization for compressor.To solve this problem,two back propagation (BP) neural networks were introduced to model the performance of a compressor by using the data provided by manufacturer.The input data of the model under other conditions should be corrected according to the similarity theory.The method was used to optimize the system of a cracking gas compressor by embedding the compressor performance model into the ASPEN PLUS model of compressor.The result shows that it is an effective method to optimize the compressor system.

关键词: compressor, characteristic curve, neural-network, modeling

Abstract: Cracking gas compressor is usually a centrifugal compressor.The information on the performance of a centrifugal compressor under all conditions is not available,which restricts the operation optimization for compressor.To solve this problem,two back propagation (BP) neural networks were introduced to model the performance of a compressor by using the data provided by manufacturer.The input data of the model under other conditions should be corrected according to the similarity theory.The method was used to optimize the system of a cracking gas compressor by embedding the compressor performance model into the ASPEN PLUS model of compressor.The result shows that it is an effective method to optimize the compressor system.

Key words: compressor, characteristic curve, neural-network, modeling

李绍军, 李凤. Prediction of Cracking Gas Compressor Performance and Its Application in Process Optimization^*[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1089-1093.

LI Shaojun, LI Feng. Prediction of Cracking Gas Compressor Performance and Its Application in Process Optimization^*[J]. Chin.J.Chem.Eng., 2012, 20(6): 1089-1093.

参考文献

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Prediction of Cracking Gas Compressor Performance and Its Application in Process Optimization^*

Prediction of Cracking Gas Compressor Performance and Its Application in Process Optimization^*

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