Analysis of methods for modeling operating modes of compressor equipment that ensures the operation of field low-temperature separation units

Author:

Vorontsov M. A.1,Glazunov V. Yu.2,Grachev A. S.3,Mashtalir M. S.4,Pospelov S. A.4,Chernyshev A. V.5

Affiliation:

1. Gazprom VNIIGAZ LLC; N.E. Bauman Moscow State Technical University; National Research University ITMO

2. Gazprom Dobycha Nadym LLC

3. Gazprom VNIIGAZ LLC; National Research University ITMO

4. LLC Gazprom Transgaz St. Petersburg

5. N.E. Bauman Moscow State Technical University

Abstract

Objective. A booster compressor station (BCS) is one of the key technological facilities necessary to ensure the effective operation of low-temperature separation technology for natural gas in field gas preparation systems for transportation. Ensuring promising operating modes of booster compressor stations with high efficiency is an urgent task. Method. One of the tools for solving this problem is mathematical modeling of the operating modes of centrifugal compressors (hereinafter - CPC), which are part of gas pumping units (GPU). The basis of the mathematical model is the gas dynamic characteristic (GDC) of the pulp and paper mill. The existing regulatory documentation presents simplified methods for modeling HDC, which are suitable for low-pressure pulp and paper mills with a pressure ratio of up to 1.5 and the number of compression stages of no more than three, but are not suitable for multi-stage high-pressure pulp and paper mills. Result. The results of a comparison of three methods of modeling the hydrodynamic characteristics (method of reduced characteristics, refined method of reduced characteristics, method of two-parameter approximation) of high-pressure pulp and paper mills are presented using the example of a pulp and paper mill with a pressure ratio of up to 2.0, intended for equipping a gas pumping unit as part of field booster compressor stations. An analysis and comparison of the obtained modeling results with actual data was carried out. Conclusion. When using the UMPH-2D modeling method, the smallest errors were obtained (no more than 2.0%), which, in turn, indicates its highest accuracy among the considered methods for recalculating the gas flow characteristics of high-pressure and multi-stage compressors.

Publisher

FSB Educational Establishment of Higher Education Daghestan State Technical University

Reference28 articles.

1. Hitoshi Shinohara, Hirokazu Kawashima, Masayuki Soneda. Technologies for reliable operation and maintenance of equipment. Proceedings of the anniversary 20th annual international symposium “Compressors and compressor equipment” named after. K.P. Selezneva (formerly “Consumers-producers of compressors and compressor equipment”) 2018; 43-49 (In Russ)

2. Nikitin V.T., Dotsenko V.A., Petukhov A.A., Polozov V.N., Kuvytchenko B.G., V.A. Shigin Installation of UPR-TPG solution supply for washing the centrifugal blower. Gas Industry. 2017; 9: 32-33. (In Russ)

3. Borisov Yu.A., Kalashnikov D.A., Chernyshev A.V. Profiling the impeller of a centrifugal compressor in the meridional plane based on the calculation of gas trajectories in a force field. News of higher educational institutions. Mechanical engineering. 2022; 7 (748): 82-89. (In Russ)

4. Borisov Yu.A., Kalashnikov D.A., ChernyshevA.V. Profiling in the radial plane of the impeller of a centrifugal compressor according to the law of linear change in gas-dynamic parameters along the length of the flow part. Compressor technology and pneumatics. 2022; 3: 12-18. (In Russ)

5. Popova T.V., Vorontsov M.A. Prospects for the use of cyclic air cooling systems for gas turbine units based on absorption refrigeration machines as part of compressor stations. Proceedings of the Russian State University of Oil and Gas (NRU) named after I.M. Gubkina, No. 3. – M.: Publishing house. Center of the Russian State University of Oil and Gas (NRU) named after I.M. Gubkina, 2019; 139-150. (In Russ)

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