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采用VC和MATLAB混合编程方法,进行了不同循环燃气轮机的变工况性能分析.其中,采用修正工程算法编制了工质热力性质计算程序,采用反向传播(BP)神经网络法建立了压气机和涡轮部件特性计算模型,采用模块化建模方法建立了简单循环、蒸汽回注(STIG)循环和化学回热(CRGT)循环性能仿真模型.仿真结果表明:在保持燃机几何结构和设计功率不变的条件下,STIG循环和CRGT循环均能降低燃气初温和提高循环热效率.其中,简单循环的热效率为35.16%,STIG循环的热效率可达到45%,CRGT循环的热效率可达到52.8%;为了进一步提高该型燃机的应用潜力和使用范围,可以将该型CRGT循环燃气轮机用于海水淡化应用中.
The VC and MATLAB hybrid programming method was used to analyze the performance of different gas turbines under varying working conditions, in which the calculation program of thermal properties of working fluid was prepared by the modified engineering algorithm, and the BP neural network was used to establish the compressor and Turbine component characteristic calculation model was established, and the simulation models of simple cycle, steam recycle (STIG) cycle and chemical recuperation (CRGT) cycle performance were established by using the modular modeling method.The simulation results show that when keeping the gas turbine geometry and design power STIG cycle and CRGT cycle can both reduce the initial gas temperature and increase the thermal efficiency of the cycle, in which the thermal efficiency of the simple cycle is 35.16%, the thermal efficiency of the STIG cycle can reach 45%, and the thermal efficiency of the CRGT cycle can reach 52.8% This type of CRGT cycle gas turbine can be used in desalination applications by increasing the potential and scope of use of this type of gas turbine.