压缩机是管道输气及其它化工流程中气体加压的核心设备,其出口温度与压缩机的热力设计及可靠性密切相关,是实际气体多变压缩后的关键参数之一.针对多变压缩机出口温度的预测问题,首先,基于气体多变压缩过程的焓、熵关系优化等熵子过程模型,建立了多变压缩出口温度预测模型及求解流程;然后,借助Python语言,运用牛顿-拉夫逊算法实现出口温度的迭代求解;最后,以建立的虚拟工况为例,分析了等熵子过程数对压缩机出口温度的影响,并将预测值与ASPEN Plus与CSLAB的模拟结果进行了对比.结果表明:等熵子过程数为1000时,多变压缩出口温度维持稳定;自建模型与ASPEN Plus 及CSLAB软件的三种模型具有相当的精度,相对偏差分别为1.22％、1.81％和0.70％,验证了其可用性与科学性.
Study on Outlet Temperature of Polytropic Compression Process of Compressor
Compressors are the core equipment for gas pressurization in pipeline gas transmission and other chemical processes,and its outlet temperature is closely related to the thermal design and reliability of compressor,which is one of the key parameters after the polytropic compression of actual gas.Aiming at the prediction problem of outlet temperature of polytropic compressor,firstly,based on the entropy process model of enthalpy and entropy relationship optimization of gas variable compression process,the prediction model and solution process of variable compression outlet temperature are established.Then,with the help of Python language,the Newton-Raphson algorithm is used to realize the iterative solution of the exit temperature.Finally,taking the established virtual working conditions as an example,the influence of isentropic process number on the outlet temperature of compressor is analyzed,and the predicted value is compared with the simulation results of ASPEN Plus and CSLAB.The results show that when the number of isentropic processes is 1000,the temperature of the variable compression outlet remains stable.The self-built model has comparable accuracy with the three models of ASPEN Plus and CSLAB software,and the relative deviations are 1.22％,1.81％and 0.70％,respectively,which verifies its usability and scientific nature.
compressorpolytropic compressionoutlet temperatureisotropic process model
万方数据
维普
