Improved Adaptive Time Step Method for Natural Gas Pipeline Transient Simulation
Qiao Guo,
Yuan Liu,
Yunbo Yang,
Tao Song and
Shouxi Wang
Additional contact information
Qiao Guo: College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710312, China
Yuan Liu: College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710312, China
Yunbo Yang: Petrochina Changqing Oilfield Changbei Operation Company, Xi’an 710018, China
Tao Song: Changqing Oilfield Second Oil Transportation Office, Xianyang 712000, China
Shouxi Wang: College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710312, China
Energies, 2022, vol. 15, issue 14, 1-14
Abstract:
As the natural gas pipeline network becomes larger and more complicated, a stricter requirement of computation efficiency for the large and complicated network transient simulation should be proposed. The adaptive time step method has been widely used in the transient simulation of natural gas pipeline networks as a significant way to improve computation efficiency. However, the trial calculation process, which is the most time-consuming process in time step adjustment, was used to adjust the time step in these methods, reducing the efficiency of time step adjustment. In order to reduce the number of trial calculations, and improve the calculation efficiency, an improved adaptive time step method is proposed, which proposes the concept of energy number and judges the energy number of the boundary conditions after judging whether the variation of the pipeline state is tolerable. A comparison between the adaptive time step method and the improved adaptive time step method in the restart process of natural gas pipelines and an actual operation of the XB section in China shows the accuracy, effect, and efficiency of the improved adaptive time step method. The results show that with the same accuracy, 27% fewer trial calculation processes and 24.95% fewer time levels are needed in the improved time step method.
Keywords: adaptive time step; pipeline transient simulation; 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
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Citations: View citations in EconPapers (1)
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