Research on Mechanism-Based Modeling and Simulation of Heavy-Duty Industrial Gas Turbines

This study investigates mechanism-based modeling and simulation of a single-shaft heavy-duty industrial gas turbine. Taking the PG9171E gas turbine as the case study, component-level steady-state and dynamic models are developed. The steady-state model is established using the constant mass flow (CMF) method. For dynamic modeling, both the CMF approach and the inter-component volume (ICV) approach are implemented to enable a comparative assessment of the two methods. On the basis of the steady-state model, an improved Dung Beetle Optimization (DBO) algorithm is proposed to perform model correction using measured operational data from the gas turbine. After model correction, the maximum relative error between the simulated results and the measured operating data is reduced to 1.01 × 10−5%. Following high-accuracy model correction, sensitivity analysis and a comparative dynamic study are conducted for the two dynamic modeling approaches. The results indicate that the most influential sensitivity parameter is the rotor rotational inertia, followed by the virtual volume of the combustor. Moreover, the primary discrepancy between the ICV and CMF approaches arises from differences in the operating trajectories on component characteristic maps. The ICV-based model exhibits a pronounced response lag; however, it requires less computational time than the CMF-based model, making it more suitable for rapid engineering simulation and practical applications.

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Publication Details

Journal
Energies
Published
2026-03-14
DOI
https://doi.org/10.3390/en19061465
Primary Topic
Turbomachinery Performance and Optimization
Type
article
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article

Research on Mechanism-Based Modeling and Simulation of Heavy-Duty Industrial Gas Turbines

Huichao Chen, Q. Y. Li, Jinquan Huang, Feng Lu et al.
Energies
Turbomachinery Performance and Optimization
article

Research on Mechanism-Based Modeling and Simulation of Heavy-Duty Industrial Gas Turbines

Huichao Chen, Q. Y. Li, Jinquan Huang, Feng Lu, Haoran An, Bingzhou Ma
article en

Abstract

This study investigates mechanism-based modeling and simulation of a single-shaft heavy-duty industrial gas turbine. Taking the PG9171E gas turbine as the case study, component-level steady-state and dynamic models are developed. The steady-state model is established using the constant mass flow (CMF) method. For dynamic modeling, both the CMF approach and the inter-component volume (ICV) approach are implemented to enable a comparative assessment of the two methods. On the basis of the steady-state model, an improved Dung Beetle Optimization (DBO) algorithm is proposed to perform model correction using measured operational data from the gas turbine. After model correction, the maximum relative error between the simulated results and the measured operating data is reduced to 1.01 × 10−5%. Following high-accuracy model correction, sensitivity analysis and a comparative dynamic study are conducted for the two dynamic modeling approaches. The results indicate that the most influential sensitivity parameter is the rotor rotational inertia, followed by the virtual volume of the combustor. Moreover, the primary discrepancy between the ICV and CMF approaches arises from differences in the operating trajectories on component characteristic maps. The ICV-based model exhibits a pronounced response lag; however, it requires less computational time than the CMF-based model, making it more suitable for rapid engineering simulation and practical applications.

EnergiesVol. 19(6)
Huaiyin Institute of Technology (CN), Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 19%
Turbomachinery Performance and Optimization
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