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

被引：5

作者：

Li Shaojun ^{[1
]}

Li Feng ^{[1
]}

机构：

[1] E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

来源：

CHINESE JOURNAL OF CHEMICAL ENGINEERING | 2012年 / 20卷 / 06期

关键词：

compressor; characteristic curve; neural-network; modeling; MAP GENERATION;

D O I：

10.1016/S1004-9541(12)60591-6

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

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.

引用

页码：1089 / 1093

页数：5

共 50 条

[1] A process performance index and its application to optimization of the RTM process
Jiang, SL
Zhang, C
Wang, B
POLYMER COMPOSITES, 2001, 22 (05) : 690 - 701
[2] Design of Electric Supercharger Compressor and Its Performance Optimization
Wei, Yiyang
Li, Binglin
Xu, Xiaomei
Wei, Minxiang
Wang, Chengdong
PROCESSES, 2023, 11 (07)
[3] Research and Application of wavelet neural networks of particle swarm optimization algorithm in the performance prediction of centrifugal compressor
Huang, Shengzhong
SPORTS MATERIALS, MODELLING AND SIMULATION, 2011, 187 : 271 - 276
[4] Particle Swarm Optimization and Neural Networks Application for Twin-Spirals Scroll Compressor Performance Prediction
Peng, Bin
Zhang, Hongsheng
Zhang, Li
Liu, Zhenquan
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 1, 2008, : 313 - +
[5] Application of fuzzy logic to axial compressor performance map prediction
Ghorbanian, Kaveh
Gholamrezaei, Mohammad
PROCEEDINGS OF THE ASME POWER CONFERENCE 2007, 2007, : 49 - 54
[6] PREDICTION OF GAS TURBINE PERFORMANCE DEGRADATION BETWEEN SOAKWASHES IN NATURAL GAS COMPRESSOR STATIONS
Chatterjee, R.
Botros, K. K.
Golshan, H.
Rogers, D.
Samoylove, Z.
PROCEEDINGS OF THE 9TH INTERNATIONAL PIPELINE CONFERENCE - 2012, VOL 1, 2013, : 441 - +
[7] Geometric Optimization of Turbocharger Compressor and Its Influence on Engine Performance
Zhang, Fangming
Baar, Roland
2017 INTERNATIONAL CONFERENCE ON MECHANICAL, AERONAUTICAL AND AUTOMOTIVE ENGINEERING (ICMAA 2017), 2017, 108
[8] Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor
Song, Wanqing
Duan, Shouwu
Zio, Enrico
Kudreyko, Aleksey
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 225
[9] Centrifugal compressor performance prediction
Di Febo M.
Paganini P.
World Pumps, 2016, 2016 (03) : 12 - 15
[10] Prediction of gas pulsation of an industrial compressor
Kim, Heuicheol
Cho, Mi-Gyung
Park, Jaehong
Bai, Cheolho
Shim, Jaesool
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2013, 20 (10) : 2735 - 2740

← 1 2 3 4 5 →