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《中国化学工程学报(英文版)》 2012-06
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Prediction of Cracking Gas Compressor Performance and Its Application in Process Optimization

LI Shaojun and 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  
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.
【Fund】: Supported by the National Natural Science Foundation of China (20976048 21176072);; the Fundamental Research Funds for the Central Universities
【CateGory Index】: TQ051.21
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