Similarity Conversion of Centrifugal Natural Gas Compressors Based on Predictor-Corrector | Zendy

Liyan Wang | Zendy; Peng Wang | Zendy; Zhizhu Cao | Zendy; Bo Yu | Zendy; Lin Wang | Zendy

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Similarity Conversion of Centrifugal Natural Gas Compressors Based on Predictor-Corrector

Author(s) -

Liyan Wang,

Peng Wang,

Zhizhu Cao,

Bo Yu,

Lin Wang

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.119

Subject(s) - centrifugal compressor , gas compressor , pipeline (software) , computer science , similarity (geometry) , natural gas , field (mathematics) , mechanical engineering , artificial intelligence , mathematics , engineering , pure mathematics , image (mathematics) , programming language , waste management

Centrifugal compressors are one of the most commonly used equipments powering the long distance natural gas pipeline. In this paper, a similarity conversion method of centrifugal natural gas compressors based on predictor-corrector was proposed. In other words, we used one similarity conversion to predict the key parameter and the other was used as the correction. Compared with the field test data, we found the error of the predicted outlet pressure of the compressor was controlled at about 2% and the outlet temperature fluctuated within 2°C, which could satisfy the engineering application requirements.

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