Development of a Numerical Method for Calculating a Gas Supply System during a Period of Change in Thermal Loads

Vadim Fetisov (), Aleksey V. Shalygin, Svetlana A. Modestova, Vladimir K. Tyan and Changjin Shao
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Vadim Fetisov: Department of Petroleum Engineering, Saint Petersburg Mining University, 2, 21st Line, 199106 Saint Petersburg, Russia
Aleksey V. Shalygin: Department of Petroleum Engineering, Saint Petersburg Mining University, 2, 21st Line, 199106 Saint Petersburg, Russia
Svetlana A. Modestova: Department of Petroleum Engineering, Saint Petersburg Mining University, 2, 21st Line, 199106 Saint Petersburg, Russia
Vladimir K. Tyan: Department of Pipeline Transport, Samara State Technical University, St. Molodogvardeyskaya, 244, 443100 Samara, Russia
Changjin Shao: Department of Petroleum Engineering, China University of Petroleum-Beijing 18, Fuxue Road, Changping District, Beijing 102249, China

Energies, 2022, vol. 16, issue 1, 1-16

Abstract: Nowadays, modern gas supply systems are complex. They consist of gas distribution stations; high-, medium-, and low-pressure gas networks; gas installations; and control points. These systems are designed to provide natural gas to the population, including domestic, industrial, and agricultural consumers. This study is aimed at developing methods for improving the calculation of gas distribution networks. The gas supply system should ensure an uninterrupted and safe gas supply to consumers that is easy to operate and provides the possibility of shutting down its individual elements for preventive, repair, and emergency recovery work. Therefore, this study presents a mathematical calculation method to find the optimal operating conditions for any gas network during the period of seasonal changes in thermal loads. This method demonstrates how the reliability of gas distribution systems and resistance to non-standard critical loads are affected by consumers based on the time of year, month, and day, and external factors such as outdoor temperature. The results in this study show that this method will enable the implementation of tools for testing various management strategies for the gas distribution network.

Keywords: computational experiments; heat flows; networks of gas distribution pipelines; partial differential equation; natural gas (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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