A Methodology to Evaluate the Vulnerability of the Natural Gas Supply Chain Based on Set Pair Analysis and Markov Chain
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 14, Issue 2
Abstract
In this study, a methodology to evaluate and predict the vulnerability of the natural gas supply chain is proposed, and both the dynamics and stochasticity of the natural gas supply chain are considered. In the methodology, the evaluation system of the vulnerability is established firstly based on the definition of the vulnerability of the natural gas supply chain, and the evaluation system is composed of 12 evaluation indicators that cover the upstream, midstream, and downstream of the natural gas supply chain. Then, a combination weighting method based on the analytic hierarchy process method and entropy weighting method is employed to determine the weight of each indicator. Finally, the dynamic evaluation and prediction models of the vulnerability of the natural gas supply chain are developed based on the set pair analysis and Markov chain. Furthermore, the methodology is applied to evaluate and predict the vulnerability of the natural gas supply chain in China. According to the evaluation results, the vulnerability level in the year of 2021 is relatively vulnerable, and the natural gas supply chain in China was relatively stable in the last 10 years, but it is developing toward a more vulnerable trend. Moreover, some suggestions to reduce the vulnerability of China’s natural gas supply chain are proposed as well.
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Acknowledgments
This research has been cofinanced by National Science Foundation of China (Grant No. 52004314), Beijing Natural Science Foundation (Grant No. 8214053), and China National Petroleum Corporation Management Innovation Research and Practice Project (No. Petroleum Enterprise 202102).
References
Chen, J., D. Wu, Y. Lei, W. Zhang, F. Ma, and Y. Fang. 2019. “Risk evaluation on domestic natural-gas resource supply and countermeasures.” Nat. Gas Technol. Econ. 13 (5): 7–13. https://doi.org/10.12155/j.issn.2095-1132.2019.05.002.
Chi, L., H. Su, E. Zio, M. Qadrdan, X. Li, L. Zhang, L. Fan, J. Zhou, Z. Yang, and J. Zhang. 2021. “Data-driven reliability assessment method of integrated energy systems based on probabilistic deep learning and Gaussian mixture model-hidden Markov model.” Renewable Energy 174 (Aug): 952–970. https://doi.org/10.1016/j.renene.2021.04.102.
Esen, V., and B. Oral. 2016. “Natural gas reserve/production ratio in Russia, Iran, Qatar and Turkmenistan: A political and economic perspective.” Energy Policy 93 (Jun): 101–109. https://doi.org/10.1016/j.enpol.2016.02.037.
Eser, P., N. Chokani, and R. Abhari. 2019. “Impact of Nord Stream 2 and LNG on gas trade and security of supply in the European gas network of 2030.” Appl. Energy 238 (Mar): 816–830. https://doi.org/10.1016/j.apenergy.2019.01.068.
GACC (General Administration of Customs China). 2023. GACC create confidence. Beijing: GACC.
Gong, C., N. Gong, R. Qi, and S. Yu. 2020. “Assessment of natural gas supply security in Asia Pacific: Composite indicators with compromise benefit-of-the-doubt weights.” Resour. Policy 67 (Aug): 101671. https://doi.org/10.1016/j.resourpol.2020.101671.
Huang, W., Y. Li, W. Yu, H. Yu, X. Shan, H. Wang, and J. Gong. 2021. “An evaluation index system of the user satisfaction for the natural gas pipeline network.” J. Pipeline Sci. Eng. 1 (4): 452–458. https://doi.org/10.1016/j.jpse.2021.11.001.
Jin, J., Z. Li, Y. Cui, M. Cheng, S. Ning, and Y. Zhou. 2021. “Dynamic prediction and evaluation of drought in Shandong Province based on connection number and Markov chain coupling.” J. Catastrophol. 36 (2): 1–8. https://doi.org/10.3969/j.issn.1000-811X.2021.02.001.
Li, Z., J. L. Jin, Y. Cui, L. B. Zhang, C. G. Wu, S. W. Ning, and Y. L. Zhou. 2022. “Dynamic evaluation of regional water resources carrying capacity based on set pair analysis and partial connection number.” Water Supply 22 (3): 2407–2423. https://doi.org/10.2166/ws.2021.371.
Lu, W., M. Su, B. D. Fath, M. Zhang, and Y. Hao. 2016. “A systematic method of evaluation of the Chinese natural gas supply security.” Appl. Energy 165 (Mar): 858–867. https://doi.org/10.1016/j.apenergy.2015.12.120.
Monforti, F., and A. Szikszai. 2010. “A MonteCarlo approach for assessing the adequacy of the European gas transmission system under supply crisis conditions.” Energy Policy 38 (5): 2486–2498. https://doi.org/10.1016/j.enpol.2009.12.043.
National Bureau of Statistics. 2022. Gross domestic product. Beijing: National Bureau of Statistics.
Petroleum. 2021. Petroleum BP statistical review of world energy, 1–72. London: British Petroleum.
Praks, P., and V. Kopustinskas. 2014. “Monte-Carlo based reliability modelling of a gas network using graph theory approach.” In Proc., 9th Int. Conf. on Availability, Reliability and Security. New York: IEEE.
Praks, P., V. Kopustinskas, and M. Masera. 2015. “Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure.” Reliab. Eng. Syst. Saf. 144 (Dec): 254–264. https://doi.org/10.1016/j.ress.2015.08.005.
Rodríguez-Fernández, L., A. B. Fernández Carvajal, and L. M. Ruiz-Gómez. 2020. “Evolution of European Union’s energy security in gas supply during Russia–Ukraine gas crises (2006–2009).” Energy Strategy Rev. 30 (Jul): 100518. https://doi.org/10.1016/j.esr.2020.100518.
Rodríguez-Gómez, N., N. Zaccarelli, and R. Bolado-Lavín. 2016. “European ability to cope with a gas crisis. Comparison between 2009 and 2014.” Energy Policy 97 (Oct): 461–474. https://doi.org/10.1016/j.enpol.2016.07.016.
Rui, X., W. Yu, Z. Liu, F. Shi, B. Huang, H. Liu, J. Gong, Y. Chen, and H. Wei. 2022. “An Optimal flow allocation model of the natural gas pipeline network considering user characteristics.” J. Pipeline Syst. Eng. Pract. 13 (3): 04022027. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000665.
Shaikh, F., Q. Ji, and Y. Fan. 2016. “Evaluating China’s natural gas supply security based on ecological network analysis.” J. Cleaner Prod. 139 (Dec): 1196–1206. https://doi.org/10.1016/j.jclepro.2016.09.002.
Shaikh, F., Q. Ji, and Y. Fan. 2017. “An ecological network analysis of the structure, development and sustainability of China’s natural gas supply system security.” Ecol. Indic. 73 (Feb): 235–246. https://doi.org/10.1016/j.ecolind.2016.09.051.
Su, H., E. Zio, J. Zhang, Z. Li, H. Wang, F. Zhang, L. Chi, L. Fan, and W. Wang. 2020. “A systematic method for the analysis of energy supply reliability in complex Integrated Energy Systems considering uncertainties of renewable energies, demands and operations.” J. Cleaner Prod. 267 (Sep): 122117. https://doi.org/10.1016/j.jclepro.2020.122117.
Su, M., M. Zhang, W. Lu, X. Chang, B. Chen, G. Liu, Y. Hao, and Y. Zhang. 2017. “ENA-based evaluation of energy supply security: Comparison between the Chinese crude oil and natural gas supply systems.” Renewable Sustainable Energy Rev. 72 (May): 888–899. https://doi.org/10.1016/j.rser.2017.01.131.
Szikszai, A., and F. Monforti. 2011. “GEMFLOW: A time dependent model to assess responses to natural gas supply crises.” Energy Policy 39 (9): 5129–5136. https://doi.org/10.1016/j.enpol.2011.05.051.
Tran, T. H., S. French, R. Ashman, and E. Kent. 2018. “Impact of compressor failures on gas transmission network capability.” Appl. Math. Modell. 55 (May): 741–757. https://doi.org/10.1016/j.apm.2017.11.034.
Uliasz-Misiak, B., J. Lewandowska-Śmierzchalska, and R. Matuła. 2021. “Selection of Underground hydrogen storage risk assessment techniques.” Energies 14 (23): 8049. https://doi.org/10.3390/en14238049.
Wang, C., M. Xu, G. Olsson, and Y. Liu. 2020. “Characterizing of water-energy-emission nexus of coal-fired power industry using entropy weighting method.” Resour. Conserv. Recycl. 161 (Oct): 104991. https://doi.org/10.1016/j.resconrec.2020.104991.
Wang, M. W., Y. Wang, F. Q. Shen, and J. L. Jin. 2021. “A heuristic projection pursuit method based on a connection cloud model and set pair analysis for evaluation of slope stability.” Symmetry 13 (11): 2016. https://doi.org/10.3390/sym13112016.
Wang, X., Y. Qiu, J. Chen, and X. Hu. 2022. “Evaluating natural gas supply security in China: An exhaustible resource market equilibrium model.” Resour. Policy 76 (Jun): 102562. https://doi.org/10.1016/j.resourpol.2022.102562.
Witek, M., and F. E. Uilhoorn. 2021. “Influence of gas transmission network failure on security of supply.” J. Nat. Gas Sci. Eng. 90 (Jun): 103877. https://doi.org/10.1016/j.jngse.2021.103877.
Yu, W., J. Gong, W. Huang, H. Liu, F. Dang, J. Luo, and Y. Sun. 2021a. “A systematic methodology to assess hydraulic reliability and gas supply reliability of the natural gas pipeline network.” J. Pressure Vessel Technol. 143 (4): 041804. https://doi.org/10.1115/1.4049711.
Yu, W., J. Gong, S. Song, W. Huang, Y. Li, J. Zhang, B. Hong, Y. Zhang, K. Wen, and X. Duan. 2019. “Gas supply reliability analysis of a natural gas pipeline system considering the effects of underground gas storages.” Appl. Energy 252 (Oct): 113418. https://doi.org/10.1016/j.apenergy.2019.113418.
Yu, W., W. Huang, Y. Wen, Y. Li, H. Liu, K. Wen, J. Gong, and Y. Lu. 2021b. “An integrated gas supply reliability evaluation method of the large-scale and complex natural gas pipeline network based on demand-side analysis.” Reliab. Eng. Syst. Saf. 212 (Aug): 107651. https://doi.org/10.1016/j.ress.2021.107651.
Yu, W., S. Song, Y. Li, Y. Min, W. Huang, K. Wen, and J. Gong. 2018a. “Gas supply reliability assessment of natural gas transmission pipeline systems.” Energy 162 (Nov): 853–870. https://doi.org/10.1016/j.energy.2018.08.039.
Yu, W., K. Wen, Y. Min, L. He, W. Huang, and J. Gong. 2018b. “A methodology to quantify the gas supply capacity of natural gas transmission pipeline system using reliability theory.” Reliab. Eng. Syst. Saf. 175 (Jul): 128–141. https://doi.org/10.1016/j.ress.2018.03.007.
Zhang, K., and Q. Lu. 2015. “Analysis of recent changes in Chinese and foreign oil and gas reserve and production ratio.” China Pet. Explor. 20 (1): 17. https://doi.org/10.3969/j.issn.1672-7703.2015.01.002.
Zhu, K., Y. Zhao, X. Xu, and L. Hao. 2022. “Measuring the natural gas supply security performance of China’s natural gas suppliers: A comprehensive framework using FAHP-entropy-PROOTHEE method.” J. Cleaner Prod. 345 (Apr): 131093. https://doi.org/10.1016/j.jclepro.2022.131093.
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Journal of Pipeline Systems Engineering and Practice
Volume 14 • Issue 2 • May 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Apr 23, 2022
Accepted: Jan 17, 2023
Published online: Mar 8, 2023
Published in print: May 1, 2023
Discussion open until: Aug 8, 2023
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