Diagnostics of the gas path of a centrifugal supercharger of natural gas with a drive from a free turbine

About the authors:

Dmitry A. Inozemtsev, Senior Lecturer, Department of Gas and Oil Transportation Systems and Equipment of the Oil and Gas Industry, Kuban State Technological University, Krasnodar, Russia; d.a.inozemtsev@mail.ru, https://orcid.org/0000-0002-3855-3204

Alexey V. Bunyakin, Cand. Sci. (Phys.-Math.), Associate Professor, Department of Oil and Gas Industry, Maykop State Technological University, branch in Yablonovsky village, Republic of Adygea, Russia

alex.bunyakin@mail.ru, https://orcid.org/0000-0002-1849-1667



Vladislav I. Dunaev, Dr. Sci. (Phys.-Math.), Professor, Department of Gas and Oil Transportation Systems and Equipment of the Oil and Gas Industry, Institute of Oil, Gas and Power Engineering, Kuban State Technological University, Krasnodar, Russia; dunayev1964@bk.ru, https://orcid.org/0000-0002-4166-6808

Abstract:

A gas generator and a centrifugal supercharger driven by a free turbine represent kinematically open mechanical system. The gas generator itself is a kinematically closed system, since the compressor and turbine are located on the same shaft, but its connection to the supercharger is purely gas-dynamic. This determines the specificity of the mathematical model of this unit, which allows its diagnostics to be carried out using non-destructive testing methods; in particular, the calculation of the supercharger drive power is possible only by measuring the rotation frequencies of the gas generator and the free turbine separately and simultaneously. The purpose of this work is to construct the dependence of power on these frequencies based on the processing of experimental data from the passport provided by the manufacturer. This dependence allows us to derive a dimensionless diagnostic parameter that has a physical meaning similar to the efficiency of a gas pump unit, and the deviation of its value from that which characterizes the normal (standard) operating mode of the unit is a sign of the development of an emergency situation.

References:

Averyanov, A. B. (2006). Improvement of methods of parametric diagnostics of a high-pressure compressor. Civil Aviation High Technologies, (109), 85–89. EDN KPHFGL [In Russian]

Bagerman, A. Z., Konopatova, A. V., Leonova, I. P., & Shitkov, V. N. (2015). From parametric diagnostics to prediction of gas-turbine engine lifecycle. Transactions of the Krylov Shipbuilding Research Institute, (89), 81–84. EDN JRZVWA. [In Russian]

Bunyakin, A. V., & Torbeev, S. A. (2006). Diagnostics of the flow part of aviation gas-turbine engines using the example of the D-36 turbofan engine. Civil Aviation High Technologies, (109), 30–37. [In Russian]

Galiullin, Z. T., & Leontiev, E. V. (1991). Intensification of the Main Gas Transport. Nedra. [In Russian]

Gilyaziev, M. G., & Vasiliev, E. R. (2018). Parametric diagnostics of GPA-C-25 NK-RS gas pumping units. In Collection of Reports of the Expanded Meeting of the Scientific and Technical Council and the Council of Young Scientists and Specialists of Gazprom Transgaz Kazan LLC “New Directions of Innovation Activity at Gas Industry Enterprises” (pp. 30–38). KONVERT LLC. EDN YRPIIX. [In Russian]

NK-12ST Engine: Operation and Maintenance Manual. 1984. Publishing House of the Kuibyshev Regional Committee of the CPSU. [In Russian]

Zaslavsky, E. A., & Blinov, V. L. (2018). Parametric diagnostics and technical condition estimation of gas pumping units. In Proceedings of the International Scientific and Practical Conference of Students, Postgraduates and Young Scientists dedicated to the memory of Prof. Danilov N. I. (1945–2015) — Danilovsky Readings “Energy and resource conservation. Energy supply. Non-traditional and renewable energy sources. Atomic Energy” (pp. 203–206). Ural Federal University named after the First President of Russia B. N. Yeltsin. EDN CFYBKM. [In Russian]

Ivanov, E. S. (2012). Modeling details of the performance modes of gas transmittal units at gas transmission compressor stations in modern operational conditions. Petroleum Engineering, (5), 99–123. EDN RLOAKH. [In Russian]

InozemtsevD. A., Bunyakin A. V., & Dunaev V. I. 2025. Modeling of the flow in the gas turbine engine path for technical state diagnostics. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, 11(3), 130–146. https://doi.org/10.21684/2411-7978-2025-11-3-130-146 [In Russian]

Cumpsty, N. (2000). Compressor Aerodynamics (Transl. from English). Mir. [In Russian]

Krivosheev, I. A., Rozhkov, K. E., & Simonov, N. B. (2017). Application of the parametric diagnostic method using complex indicators to assess the state of the gas turbine drive in the gas pumping unit. PNRPU Aerospace Engineering Bulletin, (3), 46–57. [In Russian]

Lefebvre, A. (1986). Processes in the Combustion Chambers of the Gas-Turbine Engine (Transl. from English). Mir. [In Russian]

Perevoshchikov, S. I. (2014). Diagnostics of gas turbine engines by their effective capacity. Oil and Gas Studies, (3), 112–121. [In Russian].

Perevoshchikov, S. I. (2019). Analysis of methods for parametric diagnostics of technical condition of gas turbine units. Oil and Gas Studies, (1), 101–112. [In Russian]

Prokhorov, Yu. V. (1988). Mathematical Encyclopedic Dictionary. Sov. Encyclopedia. [In Russian]

Raherinjatovo, J. C., & Gishvarov, A. S. (2017). Parametric diagnostics of single-GTE on the basis of on neural network modeling workflows. Vestnik USATU, (4), 86–96. [In Russian]

Smirnov, E. A., Tolstikhin, Yu. Yu., Blinov, F. V., & Shishov, A. V. (2018). Solution of the actual problems of parametric diagnostics of GTK-25IR gas compressor units. Gas Industry, (2), 62–65. EDN YPOSAW. [In Russian]

Stelmakh, M. V., Krivosheev, I. A., & Goryunov, I. M. (2015). Perfecting methods of technical diagnostics of gas compressor plants with gas turbine drive AL-31ST(N). Modern Problems of Science and Education, (1-1), 333. EDN VIDYBR. [In Russian]

Strugovets, S. A., Krivosheev, I. A., Galiulin, R. M., Kamaeva, R. F., & Rozhkov, K. E. (2010). Development of a method for parametric diagnostics of the technical condition of a gas turbine engine based on the analysis of blade erosion and patterns of compressor characteristics. Vestnik USATU, (4), 3–10. [In Russian].

Chekardovsky, S. M., & Demura, M. N. (2013). Parametric diagnostics of a gas pumping unit. In O. A. Novoselov (Ed.), Proceedings of the International Scientific and Technical Conference Dedicated to the 50th Anniversary of the Tyumen Industrial Institute “Oil and Gas of Western Siberia” (Vol. 1, pp. 117–120). Tyumen Industrial University. EDN SYVJUH. [In Russian]

Chichugin, V. A., & Noskov, S. V. (2011). Method of on-line parametric diagnostics of a gas-pumping aggregate during its operation. Oil and Gas Studies, (5), 62–70. EDN OQPKYF. [In Russian]