EconPapers    
Economics at your fingertips  
 

Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure

Pavel Praks, Vytis Kopustinskas and Marcelo Masera

Reliability Engineering and System Safety, 2015, vol. 144, issue C, 254-264

Abstract: The paper presents a probabilistic model to study security of supply in a gas network. The model is based on Monte-Carlo simulations with graph theory, and is implemented in the software tool ProGasNet. The software allows studying gas networks in various aspects including identification of weakest links and nodes, vulnerability analysis, bottleneck analysis, evaluation of new infrastructure etc. In this paper ProGasNet is applied to a benchmark network based on a real EU gas transmission network of several countries with the purpose of evaluating the security of supply effects of new infrastructure, either under construction, recently completed or under planning. The probabilistic model enables quantitative evaluations by comparing the reliability of gas supply in each consuming node of the network.

Keywords: Gas transmission network modelling; Network reliability; Network resilience; Monte-Carlo methods (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (47)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832015002471
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:144:y:2015:i:c:p:254-264

DOI: 10.1016/j.ress.2015.08.005

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:reensy:v:144:y:2015:i:c:p:254-264