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天然气管道典型离心压缩机性能预测研究 被引量:11

Study on Performance Prediction of Centrifugal Natural Gas Compressors
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摘要 开发了一款能够实时精确预测生产现场天然气压缩机实际运行性能的应用软件。依据BWRS气体状态方程开发了天然气多组分物性计算程序,利用该程序计算的天然气密度等物性数据与国外压缩机厂家提供数据一致;根据流体力学相似原理构建了各种压比下压缩机性能换算模型,并用该模型预测中石化天然气川气东送管道上下游多台GE PCL503型压缩机的性能。以现场多组具代表性实际工况运行数据为验证样本,结果发现,模型结果与样本实验数据吻合良好,表明本模型预测准确,所开发的软件能够即时给出各种实际工况下准确的压缩机性能参数,对现场压缩机生产运行调度有较好的指导意义。 This paper aims at developing a real-time application software that can give the prediction performance result of centrifugal natural gas compressors. Firstly a program of natural gas multi components properties is built up based on Benedict-Webb-Rubin-Starling (BWRS) equations. Afterwards the correctness of the program is validated by comparing its results with the manufactured data offered by GE Company. Then a performance prediction model of centrifugal natural gas compressors based on similarity conversion that is robust for all pressure ratios is proposed. Finally, the accuracy of the model is verified by typical experimental data of several GE PCL 503 compressors in Sichuan to Eastern China gas Transmission Company. It is found out that good agreement is observed between the predict results and experimental results, which indicates that the model has good practicability. The present work is meaningful and can serve as a guide for production management of gas compressors in the work site.
作者 曹志柱 刘安 宇波 魏进家 孙东亮 CAO Zhizhu;LIU An;Yu Bo;Wei Jinjia;Sun Dongliang(School of Chemical Engineering and Technology,Xi an Jiaotong University,Xi an 710049,China;School of Energy and Power Engineering,Xi an Jiaotong University,Xi an 710049,China;School of Mechanical Engineering,Beijing Institute of Petrochemical Technology,Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil & Gas Development,Beijing 102617,China)
出处 《北京石油化工学院学报》 2018年第3期14-20,共7页 Journal of Beijing Institute of Petrochemical Technology
基金 北京市高水平创新团队建设计划项目(IDHT20170507)
关键词 离心压缩机 天然气管道 性能预测 喘振控制 相似原理 gas centrifugal compressor natural gas pipeline performance prediction surge control similarity conversion
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