Research on the energy efficiency of gas transport systems in combination with underground gas storage facilities
DOI:
https://doi.org/10.31471/1993-9868-2025-2(44)-127-135Keywords:
throughput; method of characteristics; compressor station; mathematical model; underground gas storage facility; energy efficiency; optimization.Abstract
The problem of calculating a complex gas transportation system is considered, comprising gas pipelines forming a linear section, compressor stations, and an underground gas storage facility. These elements represent serially and parallelly connected links, and the throughput depends on their characteristics. The characteristics of the linear part and compressor stations are calculated and constructed in analytical form. A mathematical model for forecasting and optimising stationary modes is based on the characteristics of linear sections and compressor stations. By excluding intermediate pressures, a dependence is obtained to determine system performance. The model also includes pressure restrictions. Following implementation of the model, it was shown that the perfor-mance of the gas transportation system could be regulated by including or excluding the underground gas storage facility from the operating mode. The degree to which the CS operating parameters influence the system operating mode is also established. The proposed mathematical model is recommended for forecasting the operation of gas transportation systems in combination with underground gas storage facilities. The strategy for the rational use of underground gas storage facilities in pipeline transport, with a view to minimising energy consumption, is based on a study of the impact of such facilities on the regime of the gas transportation system and the amount of energy consumed. The aim is to analyse the dependence of energy consumption for gas transportation on the parameters of underground gas storage facility operation. The principle of using underground gas storage facilities to level out uneven gas consumption in long-distance gas transportation systems is that, first of all, underground gas storage facilities with the maximum volume of active gas and those closest to consumers should be used.
Downloads
References
1. Andriishyn, M. P., Kasperovych, V. K., & Susak, O. M. (2013). Truboprovidnyi transport hazu [Pipeline gas transportation]: Pidruchnyk. IFNTUNG. [in Ukrainian]
2. Hrudz, V. Ya., Linchevskyi, M. P., & Mykhalkiv, V. B. (1996). Keruvannia rezhymamy hazotrasportnykh system [Management of gas transportation systems modes]. Ukrhazproekt. [in Ukrai-nian]
3. Hrudz, V. Ya., Mykhalkiv, V. B., & Tymkiv, D. F. (2009). Obsluhovuvannia i remont hazoprovodiv [Maintenance and repair of gas pipelines]. Lileia-NV. [in Ukrainian]
4. Yakovliev, Ye. I., Kazak, O. S., Mykhalkiv, V. B., Tymkiv, V. F., & Hrudz, V. Ya. (1993). Rezhymy hazotransportnykh system [Modes of gas transmission systems]. Svit. [in Ukrainian]
5. Hrudz, Ya. V. (2012). Enerhoefektyvnist hazotransportnykh system [Energy efficiency of gas transmission systems]. Lileia NV. [in Ukrainian]
6. Hrudz, V. Ya., Kostiv, Ya. V., Protsiuk, V. R., & Tymkiv, D. F. (2016). Mathematical modeling of complex gas transport systems in combination with UGS. Scientific Journal «ScienceRise», 4(2), 44–49. [in Ukrainian]
7. Hrudz, V. Ya., Tymkiv, D. F., Mykhalkiv, V. B., & Linchevskyi, M. P. (1996). Keruvannia rezhymamy hazotransportnykh system [Management of gas transmission systems modes]. Ukrhazprom. [in Ukrainian]
8. Hrudz, V. Ya., Hrudz, Ya. V., Tymkiv, D. F., Babak, V. H., Nazarenko, B. P., & Rybachuk, B. P. (2002). Modeliuvannia nestatsionarnoho hazodynamichnoho protsesu v PS H za umov pruzhnoho rezhymu zakachky hazu [Modeling of non-stationary gas-dynamic process in UGS under elastic gas injection regime]. Rozvidka ta rozrobka naftovykh i hazovykh rodovyshch, 2(3), 52–53. [in Ukrainian]
9. Hrudz, V. Ya., Hrudz, Ya. V., Tymkiv, D. F., Babak, V. H., Nazarenko, B. P., & Rybachuk, B. P. (2002). Adaptyvna model protsesu zakachky hazu v PS H [Adaptive model of gas injection process in UGS]. Naukovyi visnyk IFNTUNH, (2), 74–75. [in Ukrainian]
10. Kryzhanivskyi, Ye. I., Honcharuk, M. I., Hrudz, V. Ya., Kovalko, M. P., Mykhalkiv, V. B., & Tymkiv, D. F. (2006). Enerhetychna bezpeka derzhavy: vysokoefektyvni tekhnolohii vydobuvannia, postachannia i vykorystannia pryrodnoho hazu [Energy security of the state: highly effective technologies for extraction, supply and use of natural gas]. Interpres LTD. [in Ukrainian]
11. Kovalko, M. P., Hrudz, V. Ya., Mykhalkiv, V. B., Tymkiv, D. F., Kryzhanivskyi, Ye. I., & Nazarenko, B. P. (2002). Truboprovidnyi transport hazu [Pipeline gas transportation]. ArenaEKO. [in Ukrainian]
12. Eakin, B., & Ellington, R. (1995). Application of the BWR equation to hydrocarbon-carbon dioxide mixtures. Thermod. Transp. Prop. Gas and Liquids., Sympos. Lafaette, 195–204.
13. Yusta, J. M., & Beyza, J. (2021). Optimal cooperative model for the security of gas supply on European gas networks. Energy Strategy Reviews, 35, 38–47. https://doi.org/10.1016/j.esr.2021.100706
14. Vaccariello, E., Leone, P., Canavero, F. G., & Stievano, I. S. (2021). Topological modelling of gas networks for co-simulation applications in multi-energy systems. Mathematics and Computers in Simulation, 180, 244–253. https://doi.org/10.1016/j.matcom.2019.12.018
15. Zhang, Y., Huang, Z., & Zheng, F. et al. (2020). Interval optimization based coordination scheduling of gas–electricity coupled system considering wind power, dynamic process of natural gas flow and demand response management. Energy Reports, 6, 216–227. https://doi.org/10.1016/j.egyr.2019.12.013
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Oil and Gas Power Engineering

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
.png)



1.png)








