Regional collaborative allocation of emergency resources for enterprises within a chemical industry park based on the worst credible accident scenarios

doi:10.1016/j.cjche.2024.09.032

Chinese Journal of Chemical Engineering ›› 2025, Vol. 78 ›› Issue (2): 140-149.DOI: 10.1016/j.cjche.2024.09.032

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Regional collaborative allocation of emergency resources for enterprises within a chemical industry park based on the worst credible accident scenarios

Shangzhi Liu¹, Yaqi Wang¹, Qinglong Liu², Shilong Pang³, Dongfeng Zhao^2,3, Jiangbo Jiu²

1. College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China;
2. Center for Safety, Environmental & Energy Conservation Technology, China University of Petroleum (East China), Qingdao 266580, China;
3. College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China

Received:2023-10-18 Revised:2024-09-15 Accepted:2024-09-17 Online:2024-12-31 Published:2025-02-08
Supported by:
We gratefully acknowledge the financial support provided by the Qingdao Science and Technology Benefits People Demonstration and Guidance Project (21-1-4-sf-4-nsh).

Regional collaborative allocation of emergency resources for enterprises within a chemical industry park based on the worst credible accident scenarios

Shangzhi Liu¹, Yaqi Wang¹, Qinglong Liu², Shilong Pang³, Dongfeng Zhao^2,3, Jiangbo Jiu²

1. College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China;
2. Center for Safety, Environmental & Energy Conservation Technology, China University of Petroleum (East China), Qingdao 266580, China;
3. College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China

通讯作者: Dongfeng Zhao,E-mail:zhaodf@vip.sina.com
基金资助:
We gratefully acknowledge the financial support provided by the Qingdao Science and Technology Benefits People Demonstration and Guidance Project (21-1-4-sf-4-nsh).

Abstract

Abstract: Emergency resources play a vital role in the emergency rescue process. The adequate and timely supply of emergency resources can effectively control the development of accidents and reduce accident losses. However, the current emergency resource allocation of chemical enterprises lacks scientific analysis of accident scenarios, and the individual allocation method of enterprises increases the cost of emergency resource allocation. Given the above problems, this paper proposes a regional collaborative allocation method of emergency resources for enterprises within the chemical industry park (CIP) based on the worst credible accident scenario (WCAS). Firstly, the concept and analysis method of the WCAS is proposed. Then, based on the characteristics and consequences of the accident, the mapping relationship between accident scenarios and emergency resources is established. Finally, an optimization model for regional collaborative allocation of emergency resources is constructed to determine the amount of emergency resource allocation for each enterprise. Through the case study, the emergency resource allocation method based on the WCAS analysis can better meet the demands of accident emergency rescue. Simultaneously, the regional collaborative allocation optimization model can strengthen the cooperation ability among enterprises, greatly reducing the cost of emergency resource allocation for each enterprise.

Key words: Chemical industry park, Emergency resource allocation, Worst credible accident scenario, Regional collaborative allocation, Emergency resource sharing

摘要： Emergency resources play a vital role in the emergency rescue process. The adequate and timely supply of emergency resources can effectively control the development of accidents and reduce accident losses. However, the current emergency resource allocation of chemical enterprises lacks scientific analysis of accident scenarios, and the individual allocation method of enterprises increases the cost of emergency resource allocation. Given the above problems, this paper proposes a regional collaborative allocation method of emergency resources for enterprises within the chemical industry park (CIP) based on the worst credible accident scenario (WCAS). Firstly, the concept and analysis method of the WCAS is proposed. Then, based on the characteristics and consequences of the accident, the mapping relationship between accident scenarios and emergency resources is established. Finally, an optimization model for regional collaborative allocation of emergency resources is constructed to determine the amount of emergency resource allocation for each enterprise. Through the case study, the emergency resource allocation method based on the WCAS analysis can better meet the demands of accident emergency rescue. Simultaneously, the regional collaborative allocation optimization model can strengthen the cooperation ability among enterprises, greatly reducing the cost of emergency resource allocation for each enterprise.

关键词: Chemical industry park, Emergency resource allocation, Worst credible accident scenario, Regional collaborative allocation, Emergency resource sharing

Shangzhi Liu, Yaqi Wang, Qinglong Liu, Shilong Pang, Dongfeng Zhao, Jiangbo Jiu. Regional collaborative allocation of emergency resources for enterprises within a chemical industry park based on the worst credible accident scenarios[J]. Chinese Journal of Chemical Engineering, 2025, 78(2): 140-149.

References

[1] C. Chen, G. Reniers, Chemical industry in China: The current status, safety problems, and pathways for future sustainable development, Saf. Sci. 128 (2020) 104741.
[2] Q. Shi, X. Fu,The economic operation of the petrochemical industry will achieve another success in 2022, China Petroleum and Chemical Industry Federation. (2023). http://www.cpcif.org.cn/detail/51408d81-28c8-423d-8f24-97fe21e8b212 (accessed July 26, 2023).
[3] G.Z. He, I.J.C. Boas, A.P.J. Mol, Y.L. Lu, What drives public acceptance of chemical industrial park policy and project in China? Resour. Conserv. Recycl. 138 (2018) 1-12.
[4] P. Yang, L.J. Zhang, G. Tao, Smart chemical industry parks in China: current status, challenges, and pathways for future sustainable development, J. Loss Prev. Process. Ind. 83 (2023) 105105.
[5] J.F. Yang, P.C. Wang, X.Y. Liu, M.C. Bian, L.C. Chen, S.Y. Lv, J.F. Tao, G.Y. Suo, S.Q. Xuan, R. Li, J.W. Zhang, C.M. Shu, Z. Dou, Analysis on causes of chemical industry accident from 2015 to 2020 in Chinese mainland: a complex network theory approach, J. Loss Prev. Process. Ind. 83 (2023) 105061.
[6] X.T. Bi, R.S. Qin, D.Y. Wu, S.D. Zheng, J.S. Zhao, One step forward for smart chemical process fault detection and diagnosis, Comput. Chem. Eng. 164 (2022) 107884.
[7] J.F. Zhou, G. Reniers, Petri-net based evaluation of emergency response actions for preventing domino effects triggered by fire, J. Loss Prev. Process. Ind. 51 (2018) 94-101.
[8] J.F. Zhou, G. Reniers, Petri-net based cooperation modeling and time analysis of emergency response in the context of domino effect prevention in process industries, Reliab. Eng. Syst. Saf. 223 (2022) 108505.
[9] W.M. Liu, G.Y. Hu, J.F. Li, Emergency resources demand prediction using case-based reasoning, Saf. Sci. 50 (3) (2012) 530-534.
[10] J.F. Zhou, G. Reniers, Simulation analysis of the use of emergency resources during the emergency response to a major fire, J. Loss Prev. Process. Ind. 44 (2016) 1-11.
[11] Y.J. Du, H.H. Xiao, J.H. Sun, Q.L. Duan, K.X. Qi, H. Chai, K.M. Liew, Hierarchical pre-positioning of emergency resources for a chemical industrial parks concentrated area, J. Loss Prev. Process. Ind. 66 (2020) 104130.
[12] Y.J. Du, J.H. Sun, Q.L. Duan, K.X. Qi, H.H. Xiao, K.M. Liew, Optimal assignments of allocating and scheduling emergency resources to accidents in chemical industrial parks, J. Loss Prev. Process. Ind. 65 (2020) 104148.
[13] F. Wang, H. Guo, J. Pei, C. Yang, C. Pei, Study on interval programming model for allocation of emergency resource under uncertain conditions, Journal of Safety Science and Technology,15 (2019) 107-113.
[14] Y.W. Jia, K.Y. Yu, Z.Z. Liu, T.Y. Wang, K.K. Lu, C. Wang, Optimal distribution of emergency resources to accidents for pre-rescue in chemical industrial parks, J. Loss Prev. Process. Ind. 91 (2024) 105398.
[15] Z. Yang, G. Zhang, F. Li, Z. Wang, X. Zhao, S. Chen, S.Chen, A.Yu, Y.Wang, C.Wang, J.Yuan, Requirements on emergency rescue materials equipment for hazardous chemical enterprises, GB 30077-2023, 2023-12-28.
[16] F. Zhang, G.L. Zhao, Z. Wang, J.W. Yuan, Y.F. Cheng, Worst maximum credible accidental scenarios (WMCAS) - A new methodology to identify accident scenarios for risk assessment, J. Loss Prev. Process. Ind. 48 (2017) 87-100.
[17] D. McCready, Development and communication of worst-case scenarios for the EPA risk management program, Process. Saf. Prog. 15 (2) (1996) 95-100.
[18] C. Diaz-Ovalle, R. Vazquez-Roman, M. Sam Mannan, An approach to solve the facility layout problem based on the worst-case scenario, J. Loss Prev. Process. Ind. 23 (3) (2010) 385-392.
[19] H. Meysami, T. Ebadi, H. Zohdirad, M. Minepur, Worst-case identification of gas dispersion for gas detector mapping using dispersion modeling, J. Loss Prev. Process. Ind. 26 (6) (2013) 1407-1414.
[20] F.I. Khan, S. Abbasi, A criterion for developing credible accident scenarios for risk assessment, J. Loss Prev. Process. Ind. 15 (6) (2002) 467-475.
[21] F.I. Khan, Use maximum-credible accident scenarios for realistic and reliable risk assessment, Chem. Eng. Prog. 97(11) (2001)56-64.
[22] A.S. Markowski, D. Siuta, Selection of representative accident scenarios for major industrial accidents, Process. Saf. Environ. Prot. 111 (2017) 652-662.
[23] H. Haken, Erfolgsgeheimnisse der Natur, Synergetik: Die Lehre vom Zusammenwirken., Shanghai Translation Publishing House,Shanghai, 2013.
[24] K. Zhang, The research on the synergetic emergency rescue in chemical industry park, Master thesis, Shenyang Aerospace University, Shenyang, 2016.
[25] R. Dong, Study on the linkage mechanism of emergency rescue and mutual assistance in hazardous chemical enterprises, Master thesis, Qingdao University of Science and Technology, Qingdao, 2017.
[26] P. Chen, G. Chen, L. Zhou, J. Men, Intelligent decision system of emergency response based on multi-Agent cooperation in chemical industry park, Chemical Industry and Engineering Progress,40(8)(2021) 4656-4665. (in Chinese).
[27] Y. Lei, G.R. Zhang, S. Lu, J.H. Qian, Revealing the generation mechanism of cross-regional emergency cooperation during accidents and disasters rescue, Saf. Sci. 163 (2023) 106140.
[28] I. Cameron, S. Mannan, E. Nemeth, S. Park, H. Pasman, W. Rogers, B. Seligmann, Process hazard analysis, hazard identification and scenario definition: are the conventional tools sufficient, or should and can we do much better? Process. Saf. Environ. Prot. 110 (2017) 53-70.
[29] Ministry of Emergency Management of the PRC, The Guidance of the State Administration of Work Safety on Strengthening Chemical Process Safety Management, China, 2013. https://www.mem.gov.cn/gk/gwgg/agwzlfl/yj_01/201308/t20130816_242220.shtml (accessed July 26, 2023).
[30] P.A.M. Uijt de Haag, B. Ale, J. Post, Guideline for quantitative risk assessment: Instructions for a quantitative risk analysis in the Netherlands,In: European Safety and Reliability Conference(ESREL 1999), SDU Uitgevers, Den Haag, 1999.
[31] P.A.M. Uijt de Haag, B. Ale, J. Post, Guideline for quantitative risk assessment: Instructions for a quantitative risk analysis in the Netherlands,In: European Safety and Reliability Conference(ESREL 1999), SDU Uitgevers, Den Haag, 1999.
[32] M. Gerbec, M. Pontiggia, G. Antonioni, A. Tugnoli, V. Cozzani, M. Sbaouni, R. Lelong, Comparison of UDM and CFD simulations of a time varying release of LPG in geometrical complex environment, J. Loss Prev. Process. Ind. 45 (2017) 56-68.
[33] Z.R. Jiao, C.X. Ji, Y. Sun, Y.Z. Hong, Q.S. Wang, Deep learning based quantitative property-consequence relationship (QPCR) models for toxic dispersion prediction, Process. Saf. Environ. Prot. 152 (2021) 352-360.
[34] T. An, Research on emergency resources scheduling for chemical accidents in chemical industry park based on WebGIS, Master thesis,South China University of Technology,Guangzhou, 2015.
[35] GB 7956.3—2014, L. Su, M. Wan, Z. Wang, X. Jiang, Y. Tian, J. Fu, W. Yin, Z. Zou, Fire Fighting Vehicles—Part 3:Foam Fire Fighting Vehicle, China, 2014-09-03.
[36] SY/T 6670-2006, Y. Liu, Y. Mi, D. Li, G. Li, L. Li, Z. Dong, X. Peng, The construction specification for fire station of oil and natural gas field, China, 2006-11-03.
[37] C.L. Zhao, X.B. Sun, S.L. Sun, T. Jiang, Fault diagnosis of sensor by chaos particle swarm optimization algorithm and support vector machine, Expert Syst. Appl. 38 (8) (2011) 9908-9912.

Regional collaborative allocation of emergency resources for enterprises within a chemical industry park based on the worst credible accident scenarios

Regional collaborative allocation of emergency resources for enterprises within a chemical industry park based on the worst credible accident scenarios

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