Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Репозиторий Евразийского национального университета имени Л.Н. Гумилева
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Modeling Gas Compressor Station Operation to Minimize Fuel Costs for Surge Zone Protection

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Автор
Zhussupova, Dinara
Otelbaev, Mukhtarbay
Burgumbayeva, Saule
Дата
2023
Редактор
Hindawi International Journal of Rotating Machinery
ISSN
16878787
Аннотации
Gas transportation through the pipeline network requires high pressure; otherwise, movement will be impossible. Due to friction with the walls of the pipes, the gas loses both speed and pressure. Therefore, it is necessary to increase the pressure in the main pipeline, which can extend for thousands of kilometers. For this purpose, compressor stations are located along the main network, facilitating the gas transport process by raising it to the required pressure. Compressor stations mainly consume the transported gas, with approximately 5% expended on gas compression. This article presents a study on the fuel cost for compressor stations, using mathematical models to optimize the operation of gas compressor units. The objective is to minimize gas consumption as a fuel and provide an optimization method with control over blower revolutions and valve installations to ensure safe transportation. Mathematical modeling of the described process detected the technically unjustified fuel gas consumption during the operation of gas compressor units at a specific compressor station under consideration. The paper proposes a method for minimizing costs, which can serve as the basis for providing recommendations to engineers-dispatchers. Compressor stations of the type under study lack measuring instruments for mass flow; therefore, the methods such as PID controllers, MPC, or neural networks are not applicable here.
URI
http://rep.enu.kz/handle/enu/20073
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International Journal of Rotating Machinery - 2024 - Zhussupova - Modeling Gas Compressor Station Operation to Minimize.pdf (2.667Mb)
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