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Simulation of startup operation of an industrial twin-shaft gas turbine based on geometry and control logic

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  • Mohammadian, Poorya Keshavarz
  • Saidi, Mohammad Hassan

Abstract

In this paper, a transient model is developed to simulate the start-up operation of an industrial twin-shaft gas turbine based on real geometry and control logic. The components’ characteristic curves of the studied gas turbine were generated with the aid of CFD simulation tools and according to the real geometry of each component. The control logic of the studied gas turbine was simplified and coupled with the developed engine performance model. Also, the gas turbine actuators including variable inlet guide vanes, compressor bleed valves, and fuel valves were simulated so that their concurrent effects on the gas turbine transient behavior can be captured precisely. Moreover, the air-cooled compressor turbine was modeled with a new approach. The integrated model was set up and then tuned with the field data in the base load condition. Next, the start-up operation of the gas turbine from zero speed to the base load condition was simulated and validated with the field data. The results show good agreement between the model outputs and field data. Regarding the model outputs, it can be used as the base code for a more comprehensive investigation of flexibility, operability, and the life concerns of this type of gas turbines.

Suggested Citation

  • Mohammadian, Poorya Keshavarz & Saidi, Mohammad Hassan, 2019. "Simulation of startup operation of an industrial twin-shaft gas turbine based on geometry and control logic," Energy, Elsevier, vol. 183(C), pages 1295-1313.
    • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:1295-1313
    DOI: 10.1016/j.energy.2019.07.030
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    References listed on IDEAS

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    1. Angerer, Michael & Kahlert, Steffen & Spliethoff, Hartmut, 2017. "Transient simulation and fatigue evaluation of fast gas turbine startups and shutdowns in a combined cycle plant with an innovative thermal buffer storage," Energy, Elsevier, vol. 130(C), pages 246-257.
    2. Plis, Marcin & Rusinowski, Henryk, 2017. "Predictive, adaptive model of PG 9171E gas turbine unit including control algorithms," Energy, Elsevier, vol. 126(C), pages 247-255.
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    Cited by:

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    5. Guan, Jin & Lv, Xiaojing & Spataru, Catalina & Weng, Yiwu, 2021. "Experimental and numerical study on self-sustaining performance of a 30-kW micro gas turbine generator system during startup process," Energy, Elsevier, vol. 236(C).
    6. Zhen, Man & Dong, Xuezhi & Shao, Dong & Liu, Xiyang & Tan, Chunqing, 2024. "Research on high fidelity modelling and optimum designing of an adaptive cycle engine's starting process," Energy, Elsevier, vol. 294(C).
    7. Shen, Wenkai & Liu, Li & Hu, Qiming & Liu, Guichuang & Wang, Jiwei & Zhang, Ning & Wu, Shaohua & Qiu, Penghua & Song, Shaowei, 2021. "Combustion characteristics of ignition processes for lean premixed swirling combustor under visual conditions," Energy, Elsevier, vol. 218(C).
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