Simulation Model of High Pressure Gas Pipeline Networks

Author(s):  
Ryszard Klempous ◽  
Jan Nikodem ◽  
Jedrzej Ulasiewicz
1984 ◽  
Vol SMC-14 (4) ◽  
pp. 597-606 ◽  
Author(s):  
Jaroslav Kralik ◽  
Petr Stiegler ◽  
Zdenek Vostry ◽  
Jiri Zavorka

2021 ◽  
Vol 8 (1) ◽  
pp. 48-56
Author(s):  
Zihang Fu ◽  
Tongwen Shan ◽  
Yuxia Yang ◽  
Fang Liu

2013 ◽  
Vol 470 ◽  
pp. 866-870
Author(s):  
Wei He ◽  
Yan Dong Liu ◽  
Guo Xing Wang

Based on the actual project example of high pressure gas pipeline crossing earthquake rupture area, the paper shows and explains the way to make stress analysis and strength checking calculation for the high pressure gas pipeline in the earthquake rupture area by the method of finite element.


1996 ◽  
Vol 20 ◽  
pp. S1625-S1630 ◽  
Author(s):  
Antonio Lopez ◽  
Juan J. Pedraza ◽  
Bernardo del Amo

2020 ◽  
pp. 78-81
Author(s):  
Elena Borisovna Solovyova

This paper discusses design methods for a medium and high pressure ring gas pipeline taking into account reliability requirements.


Author(s):  
Yue Xiang ◽  
Peng Wang ◽  
Bo Yu ◽  
Dongliang Sun

The numerical simulation efficiency of large-scale natural gas pipeline network is usually unsatisfactory. In this paper, Graphics Processing Unit (GPU)-accelerated hydraulic simulations for large-scale natural gas pipeline networks are presented. First, based on the Decoupled Implicit Method for Efficient Network Simulation (DIMENS) method, presented in our previous study, a novel two-level parallel simulation process and the corresponding parallel numerical method for hydraulic simulations of natural gas pipeline networks are proposed. Then, the implementation of the two-level parallel simulation in GPU is introduced in detail. Finally, some numerical experiments are provided to test the performance of the proposed method. The results show that the proposed method has notable speedup. For five large-scale pipe networks, compared with the well-known commercial simulation software SPS, the speedup ratio of the proposed method is up to 57.57 with comparable calculation accuracy. It is more inspiring that the proposed method has strong adaptability to the large pipeline networks, the larger the pipeline network is, the larger speedup ratio of the proposed method is. The speedup ratio of the GPU method approximately linearly depends on the total discrete points of the network.


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