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Advancing Hazard Assessment of Energy Accidents in the Natural Gas Sector with Rough Set Theory and Decision Rules

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  • Marco Cinelli

    (Future Resilient Systems (FRS), Swiss Federal Institute of Technology (ETH) Zürich, Singapore-ETH Centre (SEC), Singapore 138602, Singapore
    Current address: Environmental Decision Analytics Branch, Land Remediation and Technology Division, Center for Environmental Solutions and Emergency Response, U.S. Environmental Protection Agency (EPA), 45268 Cincinnati, Ohio, USA.)

  • Matteo Spada

    (Paul Scherrer Institut (PSI), Laboratory for Energy Systems Analysis, 5232 Villigen PSI, Switzerland)

  • Miłosz Kadziński

    (Institute of Computing Science, Poznań University of Technology, 60-965 Poznań, Poland)

  • Grzegorz Miebs

    (Institute of Computing Science, Poznań University of Technology, 60-965 Poznań, Poland)

  • Peter Burgherr

    (Paul Scherrer Institut (PSI), Laboratory for Energy Systems Analysis, 5232 Villigen PSI, Switzerland)

Abstract

The impacts of energy accidents are of primary interest for risk and resilience analysts, decision makers, and the general public. They can cause human health and environmental impacts, economic and societal losses, which justifies the interest in developing models to mitigate these adverse outcomes. We present a classification model for sorting energy accidents in the natural gas sector into hazard classes, according to their potential fatalities. The model is built on decision rules, which are knowledge blocks in the form of “if (condition), then (classification to hazard class x)”. They were extracted by the rough sets method using natural gas accident data from 1970–2016 of the Energy-related Severe Accident Database (ENSAD) of the Paul Scherrer Institut (PSI), the most authoritative information source for accidents in the energy sector. This was the first attempt to explore the relationships between the descriptors of energy accidents and the consequence (fatalities). The model was applied to a set of hypothetical accidents to show how the decision-making process could be supported when there is an interest in knowing which class (i.e., low, medium, high) of fatalities an energy accident could cause. The successful use of this approach in the natural gas sector proves that it can be also adapted for other energy chains, such as oil and coal.

Suggested Citation

  • Marco Cinelli & Matteo Spada & Miłosz Kadziński & Grzegorz Miebs & Peter Burgherr, 2019. "Advancing Hazard Assessment of Energy Accidents in the Natural Gas Sector with Rough Set Theory and Decision Rules," Energies, MDPI, vol. 12(21), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4178-:d:282690
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    References listed on IDEAS

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    1. Burgherr, Peter & Hirschberg, Stefan, 2014. "Comparative risk assessment of severe accidents in the energy sector," Energy Policy, Elsevier, vol. 74(S1), pages 45-56.
    2. Burgherr, Peter & Eckle, Petrissa & Hirschberg, Stefan, 2012. "Comparative assessment of severe accident risks in the coal, oil and natural gas chains," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 97-103.
    3. Barbara Tchórzewska-Cieślak & Katarzyna Pietrucha-Urbanik & Marek Urbanik & Janusz R. Rak, 2018. "Approaches for Safety Analysis of Gas-Pipeline Functionality in Terms of Failure Occurrence: A Case Study," Energies, MDPI, vol. 11(6), pages 1-13, June.
    4. Petrissa Eckle & Peter Burgherr, 2013. "Bayesian Data Analysis of Severe Fatal Accident Risk in the Oil Chain," Risk Analysis, John Wiley & Sons, vol. 33(1), pages 146-160, January.
    5. Wang, Tai-Ran & Mousseau, Vincent & Pedroni, Nicola & Zio, Enrico, 2017. "An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 139-151.
    6. Diaz-Balteiro, L & González-Pachón, J. & Romero, C., 2017. "Measuring systems sustainability with multi-criteria methods: A critical review," European Journal of Operational Research, Elsevier, vol. 258(2), pages 607-616.
    7. Landry, Maurice & Malouin, Jean-Louis & Oral, Muhittin, 1983. "Model validation in operations research," European Journal of Operational Research, Elsevier, vol. 14(3), pages 207-220, November.
    8. Salvatore Greco & Benedetto Matarazzo & Roman Słowiński, 2016. "Decision Rule Approach," International Series in Operations Research & Management Science, in: Salvatore Greco & Matthias Ehrgott & José Rui Figueira (ed.), Multiple Criteria Decision Analysis, edition 2, chapter 0, pages 497-552, Springer.
    9. Burgherr, Peter & Hirschberg, Stefan, 2008. "Severe accident risks in fossil energy chains: A comparative analysis," Energy, Elsevier, vol. 33(4), pages 538-553.
    10. Aven, Terje, 2017. "How some types of risk assessments can support resilience analysis and management," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 536-543.
    11. Su, Huai & Zio, Enrico & Zhang, Jinjun & Li, Xueyi, 2018. "A systematic framework of vulnerability analysis of a natural gas pipeline network," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 79-91.
    12. Peng Zhang & Guojin Qin & Yihuan Wang, 2019. "Risk Assessment System for Oil and Gas Pipelines Laid in One Ditch Based on Quantitative Risk Analysis," Energies, MDPI, vol. 12(6), pages 1-21, March.
    13. Kipyoung Kim & Hokeun Kang & Youtaek Kim, 2015. "Risk Assessment for Natural Gas Hydrate Carriers: A Hazard Identification (HAZID) Study," Energies, MDPI, vol. 8(4), pages 1-23, April.
    14. Blaszczynski, Jerzy & Greco, Salvatore & Slowinski, Roman, 2007. "Multi-criteria classification - A new scheme for application of dominance-based decision rules," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1030-1044, September.
    15. Roman Słowiński & Salvatore Greco & Benedetto Matarazzo, 2014. "Rough-Set-Based Decision Support," Springer Books, in: Edmund K. Burke & Graham Kendall (ed.), Search Methodologies, edition 2, chapter 0, pages 557-609, Springer.
    16. Sovacool, Benjamin K. & Kryman, Matthew & Laine, Emily, 2015. "Profiling technological failure and disaster in the energy sector: A comparative analysis of historical energy accidents," Energy, Elsevier, vol. 90(P2), pages 2016-2027.
    17. Hirschberg, Stefan & Bauer, Christian & Burgherr, Peter & Cazzoli, Eric & Heck, Thomas & Spada, Matteo & Treyer, Karin, 2016. "Health effects of technologies for power generation: Contributions from normal operation, severe accidents and terrorist threat," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 373-387.
    18. Barbara Tchórzewska-Cieślak & Katarzyna Pietrucha-Urbanik, 2018. "Approaches to Methods of Risk Analysis and Assessment Regarding the Gas Supply to a City," Energies, MDPI, vol. 11(12), pages 1-13, November.
    19. Sovacool, Benjamin K., 2008. "The costs of failure: A preliminary assessment of major energy accidents, 1907-2007," Energy Policy, Elsevier, vol. 36(5), pages 1802-1820, May.
    20. Jeffrey C. Cegan & Ashley M. Filion & Jeffrey M. Keisler & Igor Linkov, 2017. "Trends and applications of multi-criteria decision analysis in environmental sciences: literature review," Environment Systems and Decisions, Springer, vol. 37(2), pages 123-133, June.
    21. Bernard Roy, 2010. "Two conceptions of decision aiding," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 1(1), pages 74-79.
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