LAPSE:2023.11604
Published Article

LAPSE:2023.11604
Improved Adaptive Time Step Method for Natural Gas Pipeline Transient Simulation
February 27, 2023
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.
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.
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Keywords
adaptive time step, Natural Gas, pipeline transient simulation
Subject
Suggested Citation
Guo Q, Liu Y, Yang Y, Song T, Wang S. Improved Adaptive Time Step Method for Natural Gas Pipeline Transient Simulation. (2023). LAPSE:2023.11604
Author Affiliations
Guo Q: College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710312, China
Liu Y: College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710312, China
Yang Y: Petrochina Changqing Oilfield Changbei Operation Company, Xi’an 710018, China
Song T: Changqing Oilfield Second Oil Transportation Office, Xianyang 712000, China
Wang S: College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710312, China
Liu Y: College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710312, China
Yang Y: Petrochina Changqing Oilfield Changbei Operation Company, Xi’an 710018, China
Song T: Changqing Oilfield Second Oil Transportation Office, Xianyang 712000, China
Wang S: College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710312, China
Journal Name
Energies
Volume
15
Issue
14
First Page
4961
Year
2022
Publication Date
2022-07-06
ISSN
1996-1073
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Original Submission
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PII: en15144961, Publication Type: Journal Article
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LAPSE:2023.11604
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https://doi.org/10.3390/en15144961
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Feb 27, 2023
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