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The aggregate energy sector criticality risk assessment

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the aims of this work is to create a method of identification of critical elements (elements or groups of elements) in the energy infrastructure, and this method should allow ranking these critical elements by relevance to consumers (the consumer could be from the systems of different energy sector).The risk estimate of an element is one of the proposed sorting criteria for critical elements or their groups. It allows assessing the importance of the combination of critical elements and takes into account the probabilities of faults of these combinations. The key result of the research is the identification of the weakest links in the system, namely those elements, the failure of which (together with other elements) would lead to the worst consequences for the consumers and response to the availability of the infrastructure element.
Słowa kluczowe
Rocznik
Strony
61--70
Opis fizyczny
Bibliogr. 12 poz., rys., wykr.
Twórcy
autor
  • Vytautas Magnus University, Kaunas, Lithuania
  • Lithuanian Energy Institute, Kaunas, Lithuania
autor
  • Vytautas Magnus University, Kaunas, Lithuania
autor
  • Lithuanian Energy Institute, Kaunas, Lithuania
autor
  • Lithuanian Energy Institute, Kaunas, Lithuania
Bibliografia
  • [1] Augutis, J. et al. (2015). The assessment technology of energy critical infrastructure. Applied Energy. (In press).
  • [2] Cagno, E. et al. (2011). Risk analysis of underground infrastructures in urban areas. Reliability Engineering & System Safety, 96, Issue 1, Pages 139-148, ISSN 0951-8320.
  • [3] Correa, G.J. Ir J.M. Yusta, (2013). Grid vulnerability analysis based on scale-free graphs versus power flow models. Electric Power Systems Research. 101, 71-79. ISSN 0378-7796.
  • [4] EGIG. 8th Report of the European Gas Pipeline Incident Data Group, 1970-2011, Doc. Number EGIG 11.R.04022011. <http://www.egig.eu/>
  • [5] Henneaux, P., et al. (2013). Blackout Probabilistic Risk Assessment and Thermal Effects: Impacts of Changes in Generation. IEEE Transactions on Power Systems, 28, 4722-4731. ISSN 0885-8950
  • [6] Homeland Security. (2009). National Infrastructure Protection Plan. <http://www.dhs.gov/files/programs/editorial_08 27.shtm>
  • [7] Johansson, A., et al. (2009). The typology for allocations of societal risk and safety management tasks at the local governmental level – Framing the current directions in Sweden. Safety Science. 47, 680-685. ISSN 0925-7535.
  • [8] Kjølle, G.H., et al. (2012). Risk analysis of critical infrastructures emphasizing electricity supply and interdependencies. Reliability Engineering & System Safety. 105, 80-89. ISSN 0951-8320.
  • [9] Ministry of Energy of the Republic of Lithuania. (2011) Monitoring report on security of supply in the Lithuanian power market. <http://www.enmin.lt/lt/>
  • [10] The Council of the European Union, Council Directive 2008/114/EC of 8 December 2008. Official Journal of the European Union, 2008.
  • [11] The Lithuanian District Heating Association. (2012). Review of the economic performance of heat supply associations in 2011. <http://www.lsta.lt/>
  • [12] UTNE, I.B., et al. (2011). A method for risk modeling of interdependencies in critical infrastructures. Reliability Engineering & System Safety. 96, 671-678. ISSN 0951-8320.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2d7799c5-734d-4716-8ada-9a021a1f160d
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