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Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Energetika ir termoinžinerija / Energetics and thermal engineering (T006)
Author(s): Jokšas, Benas;Žutautaitė, Inga;Augutis, Juozas;Rekašius Tomas
Title: Dependence of the gas supply system criticality indicator(s) on the system elements’ reliability
Is part of: Safety and reliability: methodology and applications : 24th European conference (ESREL 2014), 14-18 September 2014, Wroclaw, Poland : proceedings / editors Tomasz Nowakowski, Marek Młyńczak, Anna Jodejko-Pietruczuk, Sylwia Werbińska-Wojciechowska. London : CRC Press, 2015
Extent: p. 181-188
Date: 2015
Note: eBook ISBN: 978-1-315-73697-6
Keywords: Energetikos sistema;Patikimumas;Kritiškumo vertinimas;Energy system;Reliability;Criticality assessment
ISBN: 9781138026810
Abstract: The country’s energy systems are closely related with other systems. The prosperity of country depends on the well-run operation of each of the systems. The disruption in the energy systems can affect the activities of all systems. System criticality level is one of the most important indicators of reliable power supply. The criticality of the system depends on the relations with other parts of energy system. In energy sector, natural gas supply system is one of the most related systems to other systems. Elements of gas supply system have high value of criticality indicator within energy sector. Natural gas is the most commonly used by the heat and electricity generation technologies over the world. The natural-gas supply system was selected as a case study involving analyses of the operability and availability. The pilot numerical calculation was performed to demonstrate how this model is useful to assess the impact of gas supply system to heat and power systems criticality. The natural gas system simulation was performed by optimization method. The probability distribution of criticality indicator is obtained as a result of this study using a Monte Carlo method. The results of this analysis may also be used in the development of energy infrastructure criticality analysis
Affiliation(s): Informatikos fakultetas
Lietuvos energetikos institutas
Matematikos ir statistikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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