Uncertainty Analysis for Natural Gas Transport Pipeline Network Layout: A New Methodology Based on Monte Carlo Method

被引:4
|
作者
Zeng, Jun [1 ,2 ]
Sun, Chaoxu [3 ]
Zhu, Zhenjun [1 ,4 ]
Wu, Jiangling [5 ]
Chen, Hongsheng [6 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing 211189, Jiangsu, Peoples R China
[2] Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA
[3] Zhejiang Prov Nat Gas Dev Co Ltd, Hangzhou 310052, Zhejiang, Peoples R China
[4] Univ Calif Berkeley, Dept City & Reg Planning, Berkeley, CA 94720 USA
[5] Henan Univ, Sch Civil Engn & Architecture, Kaifeng 475004, Peoples R China
[6] Southeast Univ, Sch Architecture, Nanjing 210096, Jiangsu, Peoples R China
关键词
TRANSMISSION NETWORKS; SENSITIVITY-ANALYSIS; OPTIMIZATION; DESIGN; MODEL; COEFFICIENT; SYSTEMS;
D O I
10.1155/2018/9213648
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Natural gas plays an increasing important role in the China's energy revolution. The rapid market development and refined government regulation demand improvements in the natural gas transport pipeline network. Therefore, it is of great theoretical and practical significance to conduct a study regarding the layout of pipeline networks. To reflect the comprehensive benefits of pipeline projects and obtain global optimal solution, this study introduces the dominance degree model (DDM). Aiming at optimizing the layout of natural gas transport pipeline networks, this paper studies the uncertainty of the DDM and the corresponding method for network layout. This study proposes an uncertainty analysis based on the Monte Carlo method to quantify the uncertainty of the DDM and its influential factors. Finally, the methodology is applied to the real case of a natural gas transport pipeline project in Zhejiang Province, China. The calculation results suggest that the methodology appropriately addresses the problem of pipeline network layout for natural gas transport. This has important implications for other potential pipeline networks not only in the Zhejiang Province but also throughout China and beyond.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Hazards of hydrogen transport in the existing natural gas pipeline network
    Stolecka, Kaatrzyna
    JOURNAL OF POWER TECHNOLOGIES, 2018, 98 (04): : 329 - 335
  • [22] Linear and Monte Carlo uncertainty analysis for subsurface contaminant transport simulation
    James, April L.
    Oldenburg, Curtis M.
    Water Resources Research, 1997, 33 (11): : 2495 - 2508
  • [23] Method of Displacement Parameters Prediction Based on Neural Network For Natural Gas Pipeline
    Liu Shulin
    Wang Xianming
    Zhang Rui
    Tang Youfu
    Cong Rui
    CHEMICAL, MECHANICAL AND MATERIALS ENGINEERING, 2011, 79 : 232 - +
  • [24] Sensitivity analysis and uncertainty assessment in applied Monte Carlo particle transport
    Siebert, BRL
    ADVANCED MONTE CARLO FOR RADIATION PHYSICS, PARTICLE TRANSPORT SIMULATION AND APPLICATIONS, 2001, : 719 - 724
  • [25] Linear and Monte Carlo uncertainty analysis for subsurface contaminant transport simulation
    James, AL
    Oldenburg, CM
    WATER RESOURCES RESEARCH, 1997, 33 (11) : 2495 - 2508
  • [26] Application of Monte Carlo Method in Uncertainty Analysis of Mismatch Factor
    Ding, Na
    Cui, Xiaohai
    Li, Yong
    Yuan, Wenze
    2018 CONFERENCE ON PRECISION ELECTROMAGNETIC MEASUREMENTS (CPEM 2018), 2018,
  • [27] Transport with neutron flag based on Monte Carlo method
    Institute of Applied Physics and Computational Mathematics, Beijing 100088, China
    Qinghua Daxue Xuebao, 2007, SUPPL. 1 (1062-1064):
  • [28] ANALYSIS OF THE GAS NETWORK FAILURE AND FAILURE PREDICTION USING THE MONTE CARLO SIMULATION METHOD
    Tchorzewska-Cieslak, Barbara
    Pietrucha-Urbanik, Katarzyna
    Urbanik, Marek
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2016, 18 (02): : 254 - 259
  • [29] Natural gas pipeline network expansion under load-evolution uncertainty based on multi-criteria analysis
    Ramos, Eduardo Santiago
    Batista, Lucas S.
    APPLIED SOFT COMPUTING, 2020, 96
  • [30] A methodology to evaluate gas supply reliability of natural gas pipeline network considering the effects of natural gas resources
    Shan, Xiangying
    Yu, Weichao
    Gong, Jing
    Huang, Weihe
    Wen, Kai
    Wang, Hao
    Ren, Shipeng
    Wang, Di
    Shi, Yongheng
    Liu, Chunyue
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 238