OPTIMIZATION OF GAS TRANSPORT MANAGEMENT BY PIPELINES BY ANALYSIS OF DYNAMICS OF CHANGE OF CONCENTRATION OF IMPURITIES
Background. To determine the concentration of impurities in the gas that is transported through the pipeline, special devices are used, which makes gas transportation for the purchase of these devices more expensive to install and their maintenance costs. The goal is to reduce costs by using a mor...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN RU |
| Publicado: |
Penza State University Publishing House
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/372086305c7c4071a00b2c1cd4b48237 |
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| Sumario: | Background. To determine the concentration of impurities in the gas that is transported through the
pipeline, special devices are used, which makes gas transportation for the purchase of these devices more expensive to
install and their maintenance costs. The goal is to reduce costs by using a more efficient way to determine the concentration
of impurities using a specially developed mathematical model that will allow you to obtain data in an automated
calculation process. Materials and methods. The study of hydraulic patterns that contribute to the establishment of
optimal and reliable characteristics of the gas supply system. Results. Hydraulic patterns are obtained that determine
the averaged changes in the concentrations of impurities in a gas over the working cross section of the flow. The dynamics
of changes in pressure in a gas pipe is shown taking into account changes in hydraulic resistance to friction.
Balance equations are developed and hydraulic dependencies are described with the aim of finding impurity concentrations
over the entire volume of the pipeline. The changes in gas pressure at the start and stop of the pumping stations
in the gas supply system are shown. Conclusions. Thus, by determining the concentration of impurities in the gas
during its transportation, it is possible to minimize violations of the hydraulic mode of its operation, reducing the loss
of all capacities by more than 12 times from the established design indicators. |
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