IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i24p16483-d997593.html
   My bibliography  Save this article

Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area

Author

Listed:
  • Mingqing Su

    (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    China Academy of Safety Science and Technology, Beijing 100012, China
    School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

  • Lijun Wei

    (China Academy of Safety Science and Technology, Beijing 100012, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

  • Shennan Zhou

    (State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology University, Beijing 100081, China)

  • Guoliang Yang

    (China Academy of Safety Science and Technology, Beijing 100012, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

  • Rujun Wang

    (China Academy of Safety Science and Technology, Beijing 100012, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

  • Yingquan Duo

    (China Academy of Safety Science and Technology, Beijing 100012, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

  • Sining Chen

    (China Academy of Safety Science and Technology, Beijing 100012, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

  • Mingliang Sun

    (China Academy of Safety Science and Technology, Beijing 100012, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

  • Jiahang Li

    (China Academy of Safety Science and Technology, Beijing 100012, China
    School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

  • Xiangbei Kong

    (China Academy of Safety Science and Technology, Beijing 100012, China
    Key Laboratory of Major Hazard and Chemical Industry Park System Safety, Ministry of Emergency Management of China, Beijing 100012, China)

Abstract

The domino event caused by fire is one of the common accidents in hydrocarbon storage tank farms, which further expands the severity and scope of the accident. Due to the different failure sequence of the storage tanks in a domino accident, the radiant heat generated by the failed storage tank to the target tank is different. Based on the influence of this synergistic effect, this study combined the Monte Carlo algorithm and FSEM, and proposed a fast real-time probability calculation method for a fire domino accident in a storage tank area, for the first time. This method uses the Monte Carlo algorithm to simulate all accident scenarios, and obtains the evolution of multiple escalation fire domino accidents under the synergistic effect according to FSEM, and then calculates the real-time failure probability and risk. Based on a comprehensive analysis of the accident propagation path, this method avoids the problem of a large amount of calculation, and is conducive to the rapid and effective analysis of the fire risk in a storage tank area and the formulation of corresponding risk reduction measures. The effectiveness and superiority of the proposed method were proved by a case study.

Suggested Citation

  • Mingqing Su & Lijun Wei & Shennan Zhou & Guoliang Yang & Rujun Wang & Yingquan Duo & Sining Chen & Mingliang Sun & Jiahang Li & Xiangbei Kong, 2022. "Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16483-:d:997593
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/24/16483/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/24/16483/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mun Seob Ahn & Hyo Eun Lee & Kwang Soo Cheon & Huoung Gi Joo & Ochang Chemical Safety Community & Bu-Soon Son, 2020. "Feasibility Evaluation of Designated Quantities for Chemicals Requiring Preparation for Accidents in the Korean Chemical Accident Prevention System," IJERPH, MDPI, vol. 17(6), pages 1-14, March.
    2. Ding, Long & Khan, Faisal & Ji, Jie, 2022. "A novel vulnerability model considering synergistic effect of fire and overpressure in chemical processing facilities," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Ovidi, Federica & Zhang, Laobing & Landucci, Gabriele & Reniers, Genserik, 2021. "Agent-based model and simulation of mitigated domino scenarios in chemical tank farms," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    4. Alileche, Nassim & Cozzani, Valerio & Reniers, Genserik & Estel, Lionel, 2015. "Thresholds for domino effects and safety distances in the process industry: A review of approaches and regulations," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 74-84.
    5. Hyo Eun Lee & Seok J. Yoon & Jong-Ryeul Sohn & Da-An Huh & Bong Woo Lee & Kyong Whan Moon, 2019. "Flammable Substances in Korea Considering the Domino Effect: Assessment of Safety Distance," IJERPH, MDPI, vol. 16(6), pages 1-14, March.
    6. Hou, Lei & Wu, Xingguang & Wu, Zhuang & Wu, Shouzhi, 2020. "Pattern identification and risk prediction of domino effect based on data mining methods for accidents occurred in the tank farm," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    7. Ding, Long & Khan, Faisal & Ji, Jie, 2020. "A novel approach for domino effects modeling and risk analysis based on synergistic effect and accident evidence," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    8. Da-An Huh & Eun-Hae Huh & Sang-Hoon Byeon & Jong-Ryeul Sohn & Kyong Whan Moon, 2019. "Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants," IJERPH, MDPI, vol. 16(18), pages 1-12, September.
    9. Ding, Long & Khan, Faisal & Abbassi, Rouzbeh & Ji, Jie, 2019. "FSEM: An approach to model contribution of synergistic effect of fires for domino effects," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 271-278.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amin, Md. Tanjin & Scarponi, Giordano Emrys & Cozzani, Valerio & Khan, Faisal, 2024. "Improved pool fire-initiated domino effect assessment in atmospheric tank farms using structural response," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    2. Tugnoli, Alessandro & Scarponi, Giordano Emrys & Antonioni, Giacomo & Cozzani, Valerio, 2022. "Quantitative assessment of domino effect and escalation scenarios caused by fragment projection," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Ding, Long & Khan, Faisal & Ji, Jie, 2022. "A novel vulnerability model considering synergistic effect of fire and overpressure in chemical processing facilities," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Ricci, Federica & Yang, Ming & Reniers, Genserik & Cozzani, Valerio, 2024. "Emergency response in cascading scenarios triggered by natural events," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    5. Khakzad, Nima, 2023. "A methodology based on Dijkstra's algorithm and mathematical programming for optimal evacuation in process plants in the event of major tank fires," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    6. Martin Folch-Calvo & Francisco Brocal-Fernández & Cristina González-Gaya & Miguel A. Sebastián, 2020. "Analysis and Characterization of Risk Methodologies Applied to Industrial Parks," Sustainability, MDPI, vol. 12(18), pages 1-35, September.
    7. Wu, Xingguang & Huang, Huirong & Xie, Jianyu & Lu, Meixing & Wang, Shaobo & Li, Wang & Huang, Yixuan & Yu, Weichao & Sun, Xiaobo, 2023. "A novel dynamic risk assessment method for the petrochemical industry using bow-tie analysis and Bayesian network analysis method based on the methodological framework of ARAMIS project," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    8. Lan, Meng & Gardoni, Paolo & Weng, Wenguo & Shen, Kaixin & He, Zhichao & Pan, Rongliang, 2024. "Modeling the evolution of industrial accidents triggered by natural disasters using dynamic graphs: A case study of typhoon-induced domino accidents in storage tank areas," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    9. Li, Xiaofeng & Chen, Guohua & Amyotte, Paul & Khan, Faisal & Alauddin, Mohammad, 2023. "Vulnerability assessment of storage tanks exposed to simultaneous fire and explosion hazards," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    10. Men, Jinkun & Chen, Guohua & Yang, Yunfeng & Reniers, Genserik, 2022. "An event-driven probabilistic methodology for modeling the spatial-temporal evolution of natural hazard-induced domino chain in chemical industrial parks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    11. Namjeong Son & Yoojin Kim & Mimi Min & Seungho Jung & Chankyu Kang, 2022. "Numerical Investigation of Overtopping Prevention for Optimal Safety Dike Design," IJERPH, MDPI, vol. 19(24), pages 1-12, December.
    12. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of risk modification due to safety barrier performance degradation in Natech events," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    13. Mun Seob Ahn & Hyo Eun Lee & Kwang Soo Cheon & Huoung Gi Joo & Ochang Chemical Safety Community & Bu-Soon Son, 2020. "Feasibility Evaluation of Designated Quantities for Chemicals Requiring Preparation for Accidents in the Korean Chemical Accident Prevention System," IJERPH, MDPI, vol. 17(6), pages 1-14, March.
    14. Hyo Eun Lee & Min-Gyu Kim & Seok J. Yoon & Da-An Huh & Kyong-Whan Moon, 2021. "Changes in Risk in Medium Business Plating and Paint Manufacturing Plants following the Revision of the Korean Chemical Accident Prevention System," IJERPH, MDPI, vol. 18(22), pages 1-15, November.
    15. Dingli Liu & Zhisheng Xu & Chuangang Fan, 2019. "Predictive analysis of fire frequency based on daily temperatures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1175-1189, July.
    16. Xie, Shuyi & Huang, Zimeng & Wu, Gang & Luo, Jinheng & Li, Lifeng & Ma, Weifeng & Wang, Bohong, 2024. "Combining precursor and Cloud Leaky noisy-OR logic gate Bayesian network for dynamic probability analysis of major accidents in the oil depots," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    17. Jianfeng Zhou & Genserik Reniers, 2020. "Probabilistic Analysis of Domino Effects by Using a Matrix‐Based Simulation Approach," Risk Analysis, John Wiley & Sons, vol. 40(10), pages 1913-1927, October.
    18. Xie, Shuyi & Dong, Shaohua & Chen, Yinuo & Peng, Yujie & Li, Xincai, 2021. "A novel risk evaluation method for fire and explosion accidents in oil depots using bow-tie analysis and risk matrix analysis method based on cloud model theory," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    19. Li, Yuntao & Wang, Yumeng & Lai, Yuying & Shuai, Jian & Zhang, Laibin, 2023. "Monte Carlo-based quantitative risk assessment of parking areas for vehicles carrying hazardous chemicals," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    20. Liu, Jie & Xu, Yubo & Wang, Lisong, 2022. "Fault information mining with causal network for railway transportation system," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16483-:d:997593. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.