IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v221y2022ics095183202200031x.html
   My bibliography  Save this article

Peak underground gas storage efficiency in reducing the vulnerability of gas supply to consumers in an extensive gas transmission system

Author

Listed:
  • Senderov, Sergey M.
  • Vorobev, Sergey V.
  • Smirnova, Elena M.

Abstract

The paper seeks to address the questions of how to assess the comparative efficiency of peak underground gas storages (PUGSs) to reduce the vulnerability of regional gas systems in the case of emergencies in the gas industry and how to prioritize the commissioning of these PUGSs in a large-scale geographically distributed and ramified gas transmission network.

Suggested Citation

  • Senderov, Sergey M. & Vorobev, Sergey V. & Smirnova, Elena M., 2022. "Peak underground gas storage efficiency in reducing the vulnerability of gas supply to consumers in an extensive gas transmission system," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:reensy:v:221:y:2022:i:c:s095183202200031x
    DOI: 10.1016/j.ress.2022.108352
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S095183202200031X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2022.108352?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tichý, Lukáš, 2019. "Energy infrastructure as a target of terrorist attacks from the Islamic state in Iraq and Syria," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 1-13.
    2. Syed, Zaki & Lawryshyn, Yuri, 2020. "Risk analysis of an underground gas storage facility using a physics-based system performance model and Monte Carlo simulation," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    3. Liu, Haibin & Davidson, Rachel A. & Apanasovich, Tatiyana V., 2008. "Spatial generalized linear mixed models of electric power outages due to hurricanes and ice storms," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 897-912.
    4. Flouri, Maria & Karakosta, Charikleia & Kladouchou, Charikleia & Psarras, John, 2015. "How does a natural gas supply interruption affect the EU gas security? A Monte Carlo simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 785-796.
    5. Wang, Can & Xie, Haipeng & Bie, Zhaohong & Li, Gengfeng & Yan, Chao, 2021. "Fast supply reliability evaluation of integrated power-gas system based on stochastic capacity network model and importance sampling," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    6. George E. Apostolakis, 2004. "How Useful Is Quantitative Risk Assessment?," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 515-520, June.
    7. Wang, Shuliang & Hong, Liu & Chen, Xueguang, 2012. "Vulnerability analysis of interdependent infrastructure systems: A methodological framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3323-3335.
    8. Voropai, N.I. & Senderov, S.M. & Edelev, A.V., 2012. "Detection of “bottlenecks” and ways to overcome emergency situations in gas transportation networks on the example of the European gas pipeline network," Energy, Elsevier, vol. 42(1), pages 3-9.
    9. Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    10. Yu, Weichao & Song, Shangfei & Li, Yichen & Min, Yuan & Huang, Weihe & Wen, Kai & Gong, Jing, 2018. "Gas supply reliability assessment of natural gas transmission pipeline systems," Energy, Elsevier, vol. 162(C), pages 853-870.
    11. Wang, WuChang & Zhang, Yi & Li, YuXing & Hu, Qihui & Liu, Chengsong & Liu, Cuiwei, 2022. "Vulnerability analysis method based on risk assessment for gas transmission capabilities of natural gas pipeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    12. Yu, Weichao & Huang, Weihe & Wen, Yunhao & Li, Yichen & Liu, Hongfei & Wen, Kai & Gong, Jing & Lu, Yanan, 2021. "An integrated gas supply reliability evaluation method of the large-scale and complex natural gas pipeline network based on demand-side analysis," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    13. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    14. Senderov, S.M. & Vorobev, S.V., 2020. "Approaches to the identification of critical facilities and critical combinations of facilities in the gas industry in terms of its operability," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    15. Fershalov, A. Yu & Fershalov, Yu. Ya & Fershalov, M. Yu, 2021. "Principles of designing gas microturbine stages," Energy, Elsevier, vol. 218(C).
    16. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
    17. Senderov, Sergey M. & Smirnova, Elena M. & Vorobev, Sergey V., 2020. "Analysis of vulnerability of fuel supply systems in gas-consuming regions due to failure of critical gas industry facilities," Energy, Elsevier, vol. 212(C).
    18. Senderov, S.M. & Edelev, A.V., 2019. "Formation of a list of critical facilities in the gas transportation system of Russia in terms of energy security," Energy, Elsevier, vol. 184(C), pages 105-112.
    19. Tsavdaroglou, Margarita & Al-Jibouri, Saad H.S. & Bles, Thomas & Halman, Johannes I.M., 2018. "Proposed methodology for risk analysis of interdependent critical infrastructures to extreme weather events," International Journal of Critical Infrastructure Protection, Elsevier, vol. 21(C), pages 57-71.
    20. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    21. Jonas Johansson & Henrik Hassel, 2012. "Modelling, Simulation and Vulnerability Analysis of Interdependent Technical Infrastructures," Springer Series in Reliability Engineering, in: Per Hokstad & Ingrid B. Utne & Jørn Vatn (ed.), Risk and Interdependencies in Critical Infrastructures, edition 127, chapter 0, pages 49-65, Springer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zalitis, Ivars & Dolgicers, Aleksandrs & Zemite, Laila & Ganter, Sebastian & Kopustinskas, Vytis & Vamanu, Bogdan & Finger, Jörg & Fuggini, Clemente & Bode, Ilmars & Kozadajevs, Jevgenijs & Häring, Iv, 2022. "Mitigation of the impact of disturbances in gas transmission systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 39(C).
    2. Zhang, Rongda & Wei, Jing & Zhao, Xiaoli & Liu, Yang, 2022. "Economic and environmental benefits of the integration between carbon sequestration and underground gas storage," Energy, Elsevier, vol. 260(C).
    3. Yang, Kai & Hou, Lei & Man, Jianfeng & Yu, Qiaoyan & Li, Yu & Zhang, Xinru & Liu, Jiaquan, 2023. "Supply reliability analysis of natural gas pipeline network based on demand-side economic loss risk," Reliability Engineering and System Safety, Elsevier, vol. 230(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Senderov, Sergey M. & Smirnova, Elena M. & Vorobev, Sergey V., 2020. "Analysis of vulnerability of fuel supply systems in gas-consuming regions due to failure of critical gas industry facilities," Energy, Elsevier, vol. 212(C).
    2. Beyza, Jesus & Gil, Pablo & Masera, Marcelo & Yusta, Jose M., 2020. "Security assessment of cross-border electricity interconnections," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    3. Sergey Vorobev & Anton Kolosnitsyn & Ilya Minarchenko, 2022. "Determination of the Most Interconnected Sections of Main Gas Pipelines Using the Maximum Clique Method," Energies, MDPI, vol. 15(2), pages 1-14, January.
    4. Senderov, S.M. & Vorobev, S.V., 2020. "Approaches to the identification of critical facilities and critical combinations of facilities in the gas industry in terms of its operability," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    5. Zhaoming Yang & Qi Xiang & Yuxuan He & Shiliang Peng & Michael Havbro Faber & Enrico Zio & Lili Zuo & Huai Su & Jinjun Zhang, 2023. "Resilience of Natural Gas Pipeline System: A Review and Outlook," Energies, MDPI, vol. 16(17), pages 1-19, August.
    6. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    7. Wang, WuChang & Zhang, Yi & Li, YuXing & Hu, Qihui & Liu, Chengsong & Liu, Cuiwei, 2022. "Vulnerability analysis method based on risk assessment for gas transmission capabilities of natural gas pipeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    8. Kim, Dong Hwan & Eisenberg, Daniel A. & Chun, Yeong Han & Park, Jeryang, 2017. "Network topology and resilience analysis of South Korean power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 13-24.
    9. Chen, Qian & Zuo, Lili & Wu, Changchun & Li, Yun & Hua, Kaixun & Mehrtash, Mahdi & Cao, Yankai, 2022. "Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    10. Zalitis, Ivars & Dolgicers, Aleksandrs & Zemite, Laila & Ganter, Sebastian & Kopustinskas, Vytis & Vamanu, Bogdan & Finger, Jörg & Fuggini, Clemente & Bode, Ilmars & Kozadajevs, Jevgenijs & Häring, Iv, 2022. "Mitigation of the impact of disturbances in gas transmission systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 39(C).
    11. Chao Fang & Piao Dong & Yi-Ping Fang & Enrico Zio, 2020. "Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed," Journal of Risk and Reliability, , vol. 234(2), pages 235-245, April.
    12. Jiang, Qiangqiang & Cai, Baoping & Zhang, Yanping & Xie, Min & Liu, Cuiwei, 2023. "Resilience assessment methodology of natural gas network system under random leakage," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    13. Linn Svegrup & Jonas Johansson & Henrik Hassel, 2019. "Integration of Critical Infrastructure and Societal Consequence Models: Impact on Swedish Power System Mitigation Decisions," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1970-1996, September.
    14. Bhandari, Pratik & Creighton, Douglas & Gong, Jinzhe & Boyle, Carol & Law, Kris M.Y., 2023. "Evolution of cyber-physical-human water systems: Challenges and gaps," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    15. Su, Huai & Zhang, Jinjun & Zio, Enrico & Yang, Nan & Li, Xueyi & Zhang, Zongjie, 2018. "An integrated systemic method for supply reliability assessment of natural gas pipeline networks," Applied Energy, Elsevier, vol. 209(C), pages 489-501.
    16. Abedi, Amin & Gaudard, Ludovic & Romerio, Franco, 2019. "Review of major approaches to analyze vulnerability in power system," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 153-172.
    17. Chen, Qian & Zuo, Lili & Wu, Changchun & Bu, Yaran & Lu, Yifei & Huang, Yanfei & Chen, Feng, 2020. "Short-term supply reliability assessment of a gas pipeline system under demand variations," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    18. Corrado lo Storto, 2019. "An SNA-DEA Prioritization Framework to Identify Critical Nodes of Gas Networks: The Case of the US Interstate Gas Infrastructure," Energies, MDPI, vol. 12(23), pages 1-18, December.
    19. Johnson, Caroline A. & Flage, Roger & Guikema, Seth D., 2021. "Feasibility study of PRA for critical infrastructure risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    20. Phan, Hieu Chi & Dhar, Ashutosh Sutra & Bui, Nang Duc, 2023. "Reliability assessment of pipelines crossing strike-slip faults considering modeling uncertainties using ANN models," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:221:y:2022:i:c:s095183202200031x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.