本研究旨在探究某型F级天然气重型燃气轮机在改用富氢燃料时的热力性能变化和通流匹配方案。建立了考虑透平逐级冷却的燃气轮机稳态热力模型，并用实际运行数据验证了模型的准确性。以此模型为基础计算了改用富氢燃料后该型燃气轮机在燃用不同含氢量的燃料时的热力性能和排放性能。针对出现的压气机和透平间的通流匹配问题，采用保持压气机参数不变、改变透平各级动静叶片安装角的方案，增加透平通流面积，并计算得到通流匹配后的燃气轮机性能。计算结果表明：随着燃料含氢量由0增加到100%时，达到相同透平入口温度时所需的燃料体积流量增加，透平中工质体积流量增加了2.65%，透平各级动静叶冷却效果降低，透平出口温度上升约15 K。在燃料含氢量分别为40%，70%，100%的情况下，氮氧化物的排放浓度分别增加了4.44，5.18，4.225 mg/m3；透平各级叶片安装角的变化整体分别在0.15°，0.37°，0.94°之内以达到通流匹配；燃气轮机的输出功率分别变化了0.39%，-0.23%，-1.56%；效率分别变化了0.02%，-0.41%，-1.4%。

In order to investigate the thermodynamic performance variation and flow matching scheme of an Fclass natural gas heavyduty gas turbine when transitioning to hydrogenrich fuel, a steadystate thermodynamic model of the gas turbine considering staged turbine cooling was established and its accuracy was validated using actual operational data. The model was then used to study the performance and emission characteristics of the gas turbine, when using H2NG (hydrogen enriched natural gas) blends with different hydrogen fractions as fuel. To address the throughflow matching issues between compressor and turbine, a scheme was proposed that maintains the compressor configuration unchanged and changes the stagger angle of rotor and stator blades of turbine to increase the throughflow area and calculate the gas turbine performance. The results show that as the hydrogen fraction increases from 0% to 100%, the required fuel volumetric flow rate for achieving the same turbine inlet temperature increases. The working fluid volumetric flow rate within the turbine increases by 2.65%,the cooling effect of rotor and stator blades of turbine decreases, and turbine outlet temperature increases by about 15 K. For fuel compositions of 40%, 70%, and 100% hydrogen, the NOx emission concentrations increase by 4.44,5.18 and 4.225 mg/m3; the stagger angle of rotor and stator blades of all stages changes within 0.15°,0.37°and 0.94° to achieve the throughflow matching; the output power of the turbine suffers changes of 0.39%, -0.23% and -1.56%, while the efficiency varies by 0.02%, -0.41% and -1.4% respectively.

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国家自然科学基金科研项目(52176014);国家科技重大专项基础研究项目(HT-J2019-I0009-0009)