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<p>A data-driven modelling method for predicting the aero-derivative gas turbine start-up performance has been developed. The test data are used to correct the compressor and turbine sub-idle maps based on extrapolation, enhancing the accuracy within the whole sub-idle range. The hydraulic starter and temperature lag models are concluded in this method. By the start-up component maps, hydraulic power and fuel supply, the start-up process can be simulated, and the performance characteristics of the gas turbine and components can be calculated. The model is verified by three sets of test data on different environmental operation condition. The error of start-up times, speeds, temperatures and pressures between the start-up simulation and test data are within 10%, showing a high modeling accuracy.</p>

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Data-Driven Modeling of Aero-Derivative Gas Turbine Start-up

  • 期刊论文

  • 发表日期：

    2025年6月3日

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  • Zinan Wang,
  • Yuhao Zhang,
  • Boyang Zeng,
  • Zhen Tian

摘要

A data-driven modelling method for predicting the aero-derivative gas turbine start-up performance has been developed. The test data are used to correct the compressor and turbine sub-idle maps based on extrapolation, enhancing the accuracy within the whole sub-idle range. The hydraulic starter and temperature lag models are concluded in this method. By the start-up component maps, hydraulic power and fuel supply, the start-up process can be simulated, and the performance characteristics of the gas turbine and components can be calculated. The model is verified by three sets of test data on different environmental operation condition. The error of start-up times, speeds, temperatures and pressures between the start-up simulation and test data are within 10%, showing a high modeling accuracy.