RESEARCH PAPER
Evaluation on gas supply reliability of urban gas pipeline network
1
School of Energy and Safety Engineering Tianjin Chengjian University 26# Jinjing Road, 300384, Tianjin, China
2
North China Municipal Engineering Design and Research Institute Qixiangtai Road, 300074, Tianjin, China
Publication date: 2018-09-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2018;20(3):471-477
KEYWORDS
ABSTRACT
As one of the lifeline projects, an urban gas network is a complex system, as it requires maintenance of the supply capacity when
any single pipeline is isolated due to failure. For such a system, its reliability needs to be evaluated. Considering that existing
structural reliability and hydraulic reliability analyses reflect different aspects of the working conditions of an urban gas network,
system reliability theory is employed to explain that only the gas supply reliability can achieve a comprehensive evaluation of the
work capacity of the entire urban gas network, as it takes into account the combined influence of the structural reliability and
hydraulic reliability. To calculate the parameters in the gas supply reliability evaluation, such as pipeline failure rate, flow reduction in the gas network under different failure conditions, etc., some research achievements in the field of structural reliability
and hydraulic reliability are fully utilized. Then, the detailed calculation procedures of these parameters are given to evaluate the
gas supply reliability in terms of operational and practical considerations. Finally, using an example of a simple double-loop gas
network, the detailed process of the gas supply reliability evaluation of an urban gas network is described, and the feasibility of
this evaluation method is also illustrated.
REFERENCES (27)
1.
Sukharev M G, Karasevich A M. Reliability models for gas supply systems. Automation and Remote Control 2010; 71(7): 1415–1424, https://doi.org/10.1134/S00051....
2.
Yan M Q. Reliability assessment on gas supply of gas transmission and distribution network. Gas & Heat 2014; 34(1): 01–05.
3.
Su H, Zhang J J, Zio E, et al. An integrated systemic method for supply reliability assessment of natural gas pipeline networks. Applied Energy 2018; 209: 489-501, https://doi.org/10.1016/j.apen....
4.
Kucheryavyi V I, Milkov S N. Strength reliability of gas-supply pipes of large diameter. Journal of Machinery Manufacture and Reliability 2014; 43(5): 448-452, https://doi.org/10.3103/S10526....
5.
Kong F T, Pesinis K. Reliability prediction for corroding natural gas pipelines. Tunnelling and Underground Space Technology 2017; 65: 91-105, https://doi.org/10.1016/j.tust....
6.
Szybka J, Boniec Z, Pilch R. Forecasting the failure of a thermal pipeline on the basis of risk assessment and exploitation analysis. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2011; 4: 5-10.
7.
Tchórzewska-Cieślak B, Pietrucha-Urbanik K, Urbanik M. Analysis of the gas network failure and failure prediction using the Monte Carlo simulation method. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2016; 18(2): 254–259, https://doi.org/10.17531/ein.2....
8.
Li J, Qin C K, Yan M Q, et al. Hydraulic reliability analysis of an urban loop high-pressure gas network. Journal of Natural Gas Science and Engineering 2016; 28: 372–378, https://doi.org/10.1016/j.jngs....
9.
Gheisia A, Naser G. Simultaneous multi-pipe failure impact on reliability of water distribution systems. Procedia Engineering 2014; 89: 326–332, https://doi.org/10.1016/j.proe....
10.
Myers A. Complex system reliability. Berlin: Springer Publishers, 2010, https://doi.org/10.1007/978-1-....
12.
Marvin R, Arnljot H. System reliability theory: models, statistical methods, and applications, 2nd Edition. Wiley Online Library, 2003.
13.
EGIG- European Gas Pipeline Incident Report Group. Report of the European Gas Pipeline Incident Group 2015.
14.
Mather J, Blackmore C, Petrie A, et al. An assessment of measures in use for gas pipelines to mitigate against damage caused by third party activity. HSE Contract Researach Report 2001.
15.
Vianello C, Maschio G. Quantitative risk assessment of the Italian gas distribution network. Journal of Loss Prevention in The Process Industries 2014; 32(1): 5-17, https://doi.org/10.1016/j.jlp.....
16.
Dong Y, Yu D. Estimation of failure probability of oil and gas transmission pipelines by fuzzy fault tree analysis. Journal of Loss Prevention in The Process Industries 2005; 18(2): 83-88, https://doi.org/10.1016/j.jlp.....
17.
Guo Y B, Meng X L, Meng T, et al. A novel method of risk assessment based on cloud inference for natural gas pipelines. Journal of Natural Gas Science and Engineering 2016; 30: 421–429, https://doi.org/10.1016/j.jngs....
18.
Liang W, Hu J, Zhang L, et al. Assessing and classifying risk of pipeline third-party interference based on fault tree and SOM. Engineering Applications of Artificial Intelligence 2012; 25(3): 594-608, https://doi.org/10.1016/j.enga....
19.
Dundulis G, Žutautaitė I, Janulioni R, et al. Integrated failure probability estimation based on structural integrity analysis and failure data: natural gas pipeline case. Reliability Engineering & System Safety 2016; 156: 195-202, https://doi.org/10.1016/j.ress....
20.
Qian G, Niffenegger M, Zhou W, et al.. Effect of correlated input parameters on the failure probability of pipelines with corrosion defects by using FITNET FFS procedure. International Journal of Pressure Vessels and Piping 2013; 105(4): 19–27, https://doi.org/10.1016/j.ijpv....
21.
Zhao Y F, Song M D. Failure analysis of a natural gas pipeline. Engineering Failure Analysis 2016; 63(5): 61-71, https://doi.org/10.1016/j.engf....
24.
Robert E M, Andre T B. Structural reliability analysis and prediction, 3rd Edition. New Jersey: Wiley-Blackwell, 2018.
25.
Bisaggio H C, Netto T A. Predictive analyses of the integrity of corroded pipelines based on concepts of structural reliability and Bayesian inference. Marine Structures 2015; 41: 180-199. https://doi.org/10.1016/j.mars....
26.
Huang X M, Li M Z, Peng S N, et al. Assessment methods of failure probability on gas pipelines.Acta Petrolei Sinica 2010; 31(4): 664-667.
27.
Qin C K, Li J, Yan M Q, et al. Analysis of failure probability of urban underground gas pipelines under corrosion effect. Natural Gas Industry 2015; 35(5): 85–89.
CITATIONS (5):
1.
Dynamic reliability evaluation of buried corroded pipeline under rockfall impact
Yifei Wang, Mingjiang Xie, Chun Su
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Yifei Wang, Mingjiang Xie, Chun Su
Eksploatacja i Niezawodnosc - Maintenance and Reliability
3.
Environmental infrastructure and urban residents’ well-being: a system dynamics approach
Lei Li, Yilin Zheng, Shaojun Ma, Mingqi Li
Journal of Environmental Planning and Management
Lei Li, Yilin Zheng, Shaojun Ma, Mingqi Li
Journal of Environmental Planning and Management
4.
Selected problems of ambiguity of the dual price of water in the post-optimization analysis of the water supply system
Jacek Wawrzosek, Szymon Ignaciuk, Andrzej Bochniak
Eksploatacja i Niezawodność – Maintenance and Reliability
Jacek Wawrzosek, Szymon Ignaciuk, Andrzej Bochniak
Eksploatacja i Niezawodność – Maintenance and Reliability
5.
Research on Intelligent Management System of Gas Pipeline with Multi-source Data Fusion
Xin Cao, Jianxin Tan, Hao Li, Rui Li, Yifan Wang, Junfeng Zhang
Applied Mathematics and Nonlinear Sciences
Xin Cao, Jianxin Tan, Hao Li, Rui Li, Yifan Wang, Junfeng Zhang
Applied Mathematics and Nonlinear Sciences
Share
RELATED ARTICLE
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
