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

Civil Engineering

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