Skip to main content

A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems

  • Conference paper
  • First Online:
Computational and Experimental Simulations in Engineering (ICCES 2023)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 145))

  • 469 Accesses

Abstract

Resilience is a key component of system safety evaluation and optimization, and research on natural gas pipeline network system (NGPNS) resilience indices and corresponding evaluation is still in early stages. To evaluate the resilience of NGPNS more synthetically and realistically, and to take into account different forms of disruptions, an integrated simulation model combining the topology and operational parameters is provided. The properties of deterministic disruptions, such as earthquakes and equipment breakdowns, are investigated. The maximum flow method and the shortest path method are combined with operational and structural parameters, to assess the amounts and routes of gas supply before and after disturbance; using complex networks theory and graph theory, the traditional view point is changed from the entire system to the affected area. The results can help guide NGPNS topological design and the development of prewarning schemes, including spare gas sources and gas route optimization, as well as pipeline maintenance strategy. They can also aid in the rapid analysis of disturbance consequences and the improvement of NGPNS resilience evaluating accuracy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kammouh, O., Gardoni, P., Cimellaro, G.P.: Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks. Reliab. Eng. Syst. Saf. 198 (2020)

    Google Scholar 

  2. Cai, B., Zhang, Y., Wang, H., Liu, Y., Ji, R., Gao, C., et al.: Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance. Reliab. Eng. Syst. Saf. 209, 107464 (2021)

    Article  Google Scholar 

  3. Marino, A., Zio, E.: A framework for the resilience analysis of complex natural gas pipeline networks from a cyber-physical system perspective. Comput. Ind. Eng. 162, 107727 (2021)

    Article  Google Scholar 

  4. Rausand, M., Hoyland, A.: System Reliability Theory: Models, Statistical Methods, and Applications, vol. 396. John Wiley & Sons (2003)

    Google Scholar 

  5. Su, H., Zhang, J., Zio, E., Yang, N., Li, X., Zhang, Z.: An integrated systemic method for supply reliability assessment of natural gas pipeline networks. Appl. Energy 209, 489–501 (2018)

    Article  Google Scholar 

  6. Cimellaro, G.P., Villa, O., Bruneau, M.: Resilience-based design of natural gas distribution networks. J. Infrastruct. Syst. 21(1), 1–14 (2015)

    Article  Google Scholar 

  7. Hauser, P., Hobbie, H., Mst, D.: Resilience in the German natural gas network: modelling approach for a high-resolution natural gas system. In: European Energy Market (2017)

    Google Scholar 

  8. Carvalho, R., Buzna, L., Bono, F., Masera, M., Arrowsmith, D.K., Helbing, D.: Resilience of natural gas networks during conflicts, crises and disruptions. PLoS One 9(3) (2014)

    Google Scholar 

  9. Xueyi, L., Jinjun, Z., Huai, S., Zio, E.: Resilience assessment of China’s natural gas supply system based on ecological network analysis. In: 2019 4th International Conference System Reliability Safety, ICSRS 2019, pp. 402–406 (2019)

    Google Scholar 

  10. He, C., Dai, C., Wu, L., Liu, T.: Robust network hardening strategy for enhancing resilience of integrated electricity and natural gas distribution systems against natural disasters. IEEE Trans. Power Syst. 33(5), 5787–5798 (2018)

    Article  Google Scholar 

  11. Di Maio, F., Matteo, F., Guerini, C., Federico, P., Zio, E.: Time-dependent reliability analysis of the reactor building of a nuclear power plant for accounting of its aging and degradation. Reliab. Eng. Syst. Saf. 205, 107173 (2021)

    Article  Google Scholar 

  12. Lin, Y., Bie, Z.: Study on the resilience of the integrated energy system. Energy Procedia 103, 171–176 (2016)

    Article  Google Scholar 

  13. Li, Y., Li, Z., Wen, F., Shahidehpour, M.: Minimax-regret robust co-optimization for enhancing the resilience of integrated power distribution and natural gas systems. IEEE Trans. Sustain. Energy 11(1), 61–71 (2020)

    Article  Google Scholar 

  14. Shao, C., Shahidehpour, M., Wang, X., Wang, X., Wang, B.: Integrated planning of electricity and natural gas transportation systems for enhancing the power grid resilience. IEEE Trans. Power Syst. 32(6), 4418–4429 (2017)

    Article  Google Scholar 

  15. Yan, M., He, Y., Shahidehpour, M., Ai, X., Li, Z., Wen, J.: Coordinated regional-district operation of integrated energy systems for resilience enhancement in natural disasters. IEEE Trans. Smart Grid 10(5), 4881–4892 (2018)

    Article  Google Scholar 

  16. Praks, P., Kopustinskas, V., Masera, M.: Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure. Reliab. Eng. Syst. Saf. 144, 254–264 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huai Su .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yang, Z. et al. (2024). A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems. In: Li, S. (eds) Computational and Experimental Simulations in Engineering. ICCES 2023. Mechanisms and Machine Science, vol 145. Springer, Cham. https://doi.org/10.1007/978-3-031-42987-3_95

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-42987-3_95

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42986-6

  • Online ISBN: 978-3-031-42987-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics