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An Iterative Method to Derive the Equivalent Centrifugal Compressor Performance at Various Operating Conditions: Part I: Modelling of Suction Parameters Impact

机译:在各种工况下推导等效离心压缩机性能的迭代方法:第一部分:吸力参数影响的建模

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This paper introduces a new iterative method to predict the equivalent centrifugal compressor performance at various operating conditions. The presented theoretical analysis and empirical correlations provide a novel approach to derive the entire compressor map corresponding to various suction conditions without a prior knowledge of the detailed geometry. The efficiency model was derived to reflect the impact of physical gas properties, Mach number, and flow and work coefficients. One of the main features of the developed technique is the fact that it considers the variation in the gas properties and stage efficiency which makes it appropriate with hydrocarbons. This method has been tested to predict the performance of two multistage centrifugal compressors and the estimated characteristics are compared with the measured data. The carried comparison revealed a good matching with the actual values, including the stable operation region limits. Furthermore, an optimization study was conducted to investigate the influences of suction conditions on the stage efficiency and surge margin. Moreover, a new sort of presentation has been generated to obtain the equivalent performance characteristics for a constant discharge pressure operation at variable suction pressure and temperature working conditions. A further validation is included in part two of this study in order to evaluate the prediction capability of the derived model at various gas compositions.
机译:本文介绍了一种新的迭代方法来预测各种工况下的等效离心压缩机性能。提出的理论分析和经验相关性提供了一种新颖的方法,可以得出与各种吸气条件相对应的整个压缩机图,而无需事先了解详细的几何形状。导出效率模型以反映物理气体性质,马赫数以及流量和功系数的影响。所开发技术的主要特征之一是事实,它考虑了气体特性和段效率的变化,这使其适合于碳氢化合物。该方法已经过测试,可以预测两台多级离心压缩机的性能,并将估计的特性与测量数据进行比较。进行的比较显示出与实际值的良好匹配,包括稳定的操作区域限制。此外,进行了优化研究,以研究吸气条件对平台效率和喘振裕度的影响。此外,已经产生了一种新的表示方式,以获得在可变的吸入压力和温度工作条件下恒定排气压力下运行的等效性能特征。在本研究的第二部分中,还进行了进一步的验证,以评估在各种气体成分下导出模型的预测能力。

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