Uncertainty Analysis for Natural Gas Transport Pipeline Network Layout: A New Methodology Based on Monte Carlo Method
Joint Authors
Zhu, Zhenjun
Zeng, Jun
Sun, Chaoxu
Wu, Jiangling
Chen, Hongsheng
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zeng, Jun& Sun, Chaoxu& Zhu, Zhenjun& Wu, Jiangling& Chen, Hongsheng. 2018. Uncertainty Analysis for Natural Gas Transport Pipeline Network Layout: A New Methodology Based on Monte Carlo Method. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1181829
Modern Language Association (MLA)
Zeng, Jun…[et al.]. Uncertainty Analysis for Natural Gas Transport Pipeline Network Layout: A New Methodology Based on Monte Carlo Method. Journal of Advanced Transportation No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1181829
American Medical Association (AMA)
Zeng, Jun& Sun, Chaoxu& Zhu, Zhenjun& Wu, Jiangling& Chen, Hongsheng. Uncertainty Analysis for Natural Gas Transport Pipeline Network Layout: A New Methodology Based on Monte Carlo Method. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1181829
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181829