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Application of Bayesian Networks in Modeling of Underground Gas Storage Energy Security

Author

Listed:
  • Piotr Kosowski

    (Department of Petroleum Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland)

  • Katarzyna Kosowska

    (Faculty of International and Political Studies, Jagiellonian University, ul. Gołębia 24, 31-007 Krakow, Poland)

  • Wojciech Nawalaniec

    (Faculty of Mathematics, Physics and Technical Science, Pedagogical University of Cracow, ul. Podchorązych 2, 30-084 Krakow, Poland)

Abstract

Energy security is a multidimensional and multifaceted concept, therefore defining it is a complex problem. It requires the consideration of a wide set of factors from the fields of economics, geology, ecology and geopolitics, all of which have an influence on energy security or the lack thereof. The article focuses on natural gas, which is a very specific fuel in the European context. It is the most “politicized” source of energy, as a consequence of its growing importance as a transition fuel in the energy transformation process. In order to identify dependencies between variables on the gas market and analyze their impact on it (in particular on underground storage), the authors chose a set of variables and built a Bayesian network. The network is an effective and flexible tool that allows analysis of the relationships between the variables that build them and model their values based on evidence. The article presents two stages of work with the Bayesian network. In the first one, a network was built based on historical data. It shows the relationships between the variables as well as the probability of the value ranges of individual variables. A huge advantage of the presented Bayesian network is that it can be used to model various scenarios on the gas market. Moreover, the ability to make statistical inferences for all its nodes represents a valuable additional feature. Several examples of such inferences are presented in the second stage of the analysis, examining the impact of consumption variability on the level of inventory in underground gas storage facilities, the impact of having an LNG terminal and the share of natural gas in electricity production on the storage capacity of a given country. The use of tools such as Bayesian networks allows us to better discover the interrelationships between variables influencing the energy market, analyze them, and estimate the impact on energy security of distinct scenarios described with specific metrics. A simple example of such a metric, i.e., the minimum level of gas storage at the end of the winter season, as well as its analysis and modeling using a relatively simple Bayesian network, is presented in this article.

Suggested Citation

  • Piotr Kosowski & Katarzyna Kosowska & Wojciech Nawalaniec, 2022. "Application of Bayesian Networks in Modeling of Underground Gas Storage Energy Security," Energies, MDPI, vol. 15(14), pages 1-24, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5185-:d:864952
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    as
    1. Cocklin, Chris, 1993. "Anatomy of a future energy crisis Restructuring and the energy sector in New Zealand," Energy Policy, Elsevier, vol. 21(8), pages 881-892, August.
    2. Sakib, Nazmus & Ibne Hossain, Niamat Ullah & Nur, Farjana & Talluri, Srinivas & Jaradat, Raed & Lawrence, Jeanne Marie, 2021. "An assessment of probabilistic disaster in the oil and gas supply chain leveraging Bayesian belief network," International Journal of Production Economics, Elsevier, vol. 235(C).
    3. Månsson, André & Johansson, Bengt & Nilsson, Lars J., 2014. "Assessing energy security: An overview of commonly used methodologies," Energy, Elsevier, vol. 73(C), pages 1-14.
    4. Asif, M. & Muneer, T., 2007. "Energy supply, its demand and security issues for developed and emerging economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(7), pages 1388-1413, September.
    5. Ričardas Krikštolaitis & Vincenzo Bianco & Linas Martišauskas & Sigita Urbonienė, 2022. "Analysis of Electricity and Natural Gas Security. A Case Study for Germany, France, Italy and Spain," Energies, MDPI, vol. 15(3), pages 1-20, January.
    6. Fan, Lin & Su, Huai & Wang, Wei & Zio, Enrico & Zhang, Li & Yang, Zhaoming & Peng, Shiliang & Yu, Weichao & Zuo, Lili & Zhang, Jinjun, 2022. "A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    7. Ren, Jingzheng & Sovacool, Benjamin K., 2014. "Quantifying, measuring, and strategizing energy security: Determining the most meaningful dimensions and metrics," Energy, Elsevier, vol. 76(C), pages 838-849.
    8. Carlo Andrea Bollino & Philipp Galkin, 2021. "Energy Security and Portfolio Diversification: Conventional and Novel Perspectives," Energies, MDPI, vol. 14(14), pages 1-24, July.
    9. Wiktor Hebda, 2021. "The North-South Gas Corridor in the Context of Poland’s Gas Transmission System—A Perfect Opportunity to Diversify Gas Resources," Energies, MDPI, vol. 14(21), pages 1-21, November.
    10. D’Adamo, Idiano & Falcone, Pasquale Marcello & Huisingh, Donald & Morone, Piergiuseppe, 2021. "A circular economy model based on biomethane: What are the opportunities for the municipality of Rome and beyond?," Renewable Energy, Elsevier, vol. 163(C), pages 1660-1672.
    11. Piotr Kosowski & Katarzyna Kosowska, 2021. "Valuation of Energy Security for Natural Gas—European Example," Energies, MDPI, vol. 14(9), pages 1-19, May.
    12. Tutak, Magdalena & Brodny, Jarosław, 2022. "Analysis of the level of energy security in the three seas initiative countries," Applied Energy, Elsevier, vol. 311(C).
    13. Hedenus, Fredrik & Azar, Christian & Johansson, Daniel J.A., 2010. "Energy security policies in EU-25--The expected cost of oil supply disruptions," Energy Policy, Elsevier, vol. 38(3), pages 1241-1250, March.
    14. Scutari, Marco, 2010. "Learning Bayesian Networks with the bnlearn R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i03).
    15. Robert Skinner & Robert Arnott, 2005. "The Oil Supply and Demand Context for Security of Oil Supply to the EU from the GCC Countries," Others 0507003, University Library of Munich, Germany.
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