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Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets

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  • Liu, Shuanglei
  • Li, Weijun
  • Gao, Peng
  • Sun, Yibo

Abstract

Efficient emergency disposal on site after gas leakage is crucial to avoid accident escalatio and expansion. However, current performance analysis studies of emerency disposal process are insufficient due to the uncertainty of rescue time prediction. In this paper, we aimed to explore the integration of triangular membership and regional center method to SPN for the modeling and evaluation of gas leakage emergency rescue process in gas transmission station. The stochastic Petri nets model was established by considering the interrelation of each execution stage of emergency disposal. Considering the subjectivity of expert analysis, triangular membership function and regional center method were combined to obtain the values of firing delays. Then isomorphic Markov chain was built from the SPN model and the stability probability linear equations were obtained. By calculating the transition utilization rate and place busy probability, the critical places and transitions were obtained. The list of critical emergency disposal stages and actions was generated, based on which countermeasures were presented for the risk reduction of gas leakage emergency disposal process in gas transmission stations.

Suggested Citation

  • Liu, Shuanglei & Li, Weijun & Gao, Peng & Sun, Yibo, 2022. "Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:reensy:v:226:y:2022:i:c:s0951832022003337
    DOI: 10.1016/j.ress.2022.108708
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    1. Lee, Juseong & Mitici, Mihaela, 2020. "An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    2. Thacker, Scott & Pant, Raghav & Hall, Jim W., 2017. "System-of-systems formulation and disruption analysis for multi-scale critical national infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 30-41.
    3. Seo, Seung-Kwon & Yoon, Young-Gak & Lee, Ju-sung & Na, Jonggeol & Lee, Chul-Jin, 2022. "Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    4. Liang, Qingzhu & Yang, Yinghao & Zhang, Hang & Peng, Changhong & Lu, Jianchao, 2022. "Analysis of simplification in Markov state-based models for reliability assessment of complex safety systems," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    5. 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.
    6. 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.
    7. 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).
    8. Forys, Monika B. & Kurowicka, Dorota & Peppelman, Bas, 2013. "A probabilistic model for a gas explosion due to leakages in the grey cast iron gas mains," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 270-279.
    9. Zhou, Jianfeng & Reniers, Genserik, 2020. "Probabilistic Petri-net addition enabling decision making depending on situational change: The case of emergency response to fuel tank farm fire," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    10. Chahrour, Nour & Nasr, Mohamad & Tacnet, Jean-Marc & Bérenguer, Christophe, 2021. "Deterioration modeling and maintenance assessment using physics-informed stochastic Petri nets: Application to torrent protection structures," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
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