Evaluation on gas supply reliability of urban gas pipeline network

Li, Jun; Yan, Mingqing; Yu, Jianjun

doi:10.17531/ein.2018.3.17

Cited by 7 publications

(2 citation statements)

References 16 publications

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“…The failure rate U and the reliability index K for GSS were calculated at 0.00076 and 0.99923, respectively. Similar results were obtained with the method using the supply reliability of an urban gas network at the service time and the designed capacity supply of the urban gas network [47]. The gas supply reliability of the urban gas network at 10 years was calculated as 0.9623.…”

Section: Application Examplesupporting

confidence: 69%

Approaches to Methods of Risk Analysis and Assessment Regarding the Gas Supply to a City

Tchórzewska-Cieślak

Pietrucha-Urbanik

2018

Energies

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Analysis and assessment of the reliability and safety of a gas-supply system is a key issue, given its status as critical infrastructure. A gas-supply system is characterised by continuous operation and a consequent need to achieve a high level of operating reliability and safety. Such a system has its unique aspects, with particular elements having their different functions while also simultaneously interacting in the context of the integral whole. In such circumstances, risk analysis can prove useful in planning activity to prevent damage, and also in the devising of rescue scenarios. Thus, the purpose of the analysis presented here has been to supply the information that is necessary in decision-making relating to risk reduction. One of the most comprehensive assessment methods is based on the expected value of gas shortage. Basic formulae with which to determine a generalised indicator of system reliability are also presented, with risk viewed as synonymous with the unreliability of gas supply. This paper then proposes a method by which an indicator of the expected efficiency of operation may also be determined as the quotient of chance and absolute risk. The thinking in this article has been developed on the basis of data from a real gas-supply system, while the computational methods deployed allowed applications to draw conclusions regarding possible modification of the expected gas shortages method.

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Section: Application Examplesupporting

confidence: 69%

Approaches to Methods of Risk Analysis and Assessment Regarding the Gas Supply to a City

Tchórzewska-Cieślak

Pietrucha-Urbanik

2018

Energies

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“…Traditional gas pipeline management methods have limitations in data processing and risk prediction. Therefore, it is particularly important to research and develop an intelligent management system for gas pipelines based on Multi-source data fusion [2][3]. The system aims to improve the efficiency and safety of pipeline management by integrating and analyzing various data sources.…”

Section: Introductionmentioning

confidence: 99%

Research on Intelligent Management System of Gas Pipeline with Multi-source Data Fusion

Cao,

Tan,

et al. 2024

Applied Mathematics and Nonlinear Sciences

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Aiming at the current challenges of enormous scale, complex structure, difficult control and frequent accidents of city gas high-pressure pipeline network, there are still three aspects of difficulties in the risk monitoring and control of China’s city gas high-pressure pipeline network, namely, rough data, shallow assessment, and lack of power. This paper proposes an intelligent management system for gas pipelines based on C/S model and J2EE enterprise-level framework, in which the failure warning models of gas leakage, Gaussian plume diffusion, and fire and explosion are established. And the Kalman filter algorithm improved by DS evidence theory is used for intelligent fusion of Multi-source data, analyzing and screening the unified adequate information on data types, extracting state characteristics, classifying warning levels, and developing an integrated and visualized pipeline remote diagnosis and warning platform. In the simulation of the intelligent management system of gas pipeline, when the wind speed is 1.5m/s in winter, the ground surface is a safe area within 12.15m of the gas pipeline. When the maximum wind speed is 10m/s, the upper limit distance of the gas leading to fire and explosion is only 2.43m, and the hazardous range of the gas pipeline jet fire is within 12.69m. Relying on the gas high-pressure pipeline network in L city for practical experiments and applications, it provides technical support and decision-making basis for the construction of intelligent pipeline network, comprehensively improves the risk control capability of city gas high-pressure pipeline network, and has reference significance for the risk control of national city gas high-pressure pipeline network.

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