Emission Risk Assessment of Toxic Gases of Floating Roof Storage Tanks

Document Type : Original Research Paper

Authors

1 Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.

2 Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Department of Health, safety and environment, Petroleum University of Technology, Abadan, Iran

4 Azad Uiniversity of TehranDepartment of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran

5 Department of the Environment, North Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

Events such as the emission of toxic gases are possible on floating roof storage tanks. Since gasoline is a high-consumption and volatile product stored in adjacent oil depots or large cities, it is necessary to assess their emission risk. Given that the multi-criteria methods allow the identification of and assessment of the indicators well and allow the participation of expert experts, so the FAHP method has been used to identify and assess the risk before the emission of toxic gases. The results showed the importance of 7 factors among 36 factors, 3 of which were related to equipment error. The DOW'S CEI method was used to assess the emission risk if the event occurred. This method provides safe boundaries based on Emergency Response Planning Guidelines (ERPGs), where the results indicate the settlement placement around the oil repository in the range of the predicted concentration at all three levels of ERPG.

Keywords


AIChE. (1998). Dow’s Chemical Exposure Index Guide: First Edition. https://www.wiley.com/en-us/Dow%27s+Chemical+Exposure+Index+Guide-p-9780470935293#download-product-flyer
Alhamdani, Y. A., Hassim, M. H., Shaik, S. M. and Jalil, A. A. (2018). Hybrid tool for occupational health risk assessment and fugitive emissions control in chemical processes based on the source, path and receptor concept. Process Safety and Environmental Protection, 118, 348–360. https://doi.org/10.1016/j.psep.2018.06.032
Argyropoulos, C. D., Christolis, M. N., Nivolianitou, Z. and Markatos, N. C. (2012). A hazards assessment methodology for large liquid hydrocarbon fuel tanks. Journal of Loss Prevention in the Process Industries, 25(2), 329–335. https://doi.org/10.1016/j.jlp.2011.12.003
Bouafia, A., Bougofa, M., Rouainia, M. and Medjram, M. S. (2020). Safety Risk Analysis and Accidents Modeling of a Major Gasoline Release in Petrochemical Plant. Journal of Failure Analysis and Prevention, 20(2), 358–369. https://doi.org/10.1007/s11668-020-00826-9
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9
Chang, J. I. and Lin, C. C. (2006). A study of storage tank accidents. Journal of Loss Prevention in the Process Industries, 19(1), 51–59. https://doi.org/10.1016/j.jlp.2005.05.015
Chen, X., Wu, Z., Chen, W., Kang, R. and He, X. (2020). Selection of key indicators for reputation loss in oil and gas pipeline failure event. Engineering Failure Analysis, 99(March 2018), 69–84. https://doi.org/10.1016/j.engfailanal.2019.01.071
Cheraghi, M., Bagherian-Sahlavani, A., Noori, H. and Mohammad-Fam, I. (2021). Evaluation of hazard distances related to toxic releases in a gas refinery: comparison of chemical exposure index and consequence modeling approaches. International Journal of Occupational Safety and Ergonomics, 27(3), 641–653. https://doi.org/10.1080/10803548.2019.1621023
Dey, P. K. (2012). Project risk management using multiple criteria decision-making technique and decision tree analysis: a case study of Indian oil refinery. Http://Dx.Doi.Org/10.1080/09537287.2011.586379, 23(12), 903–921. https://doi.org/10.1080/09537287.2011.586379
energy Agency, I. (2021). Statistics report Key World Energy Statistics 2021.
Ferdous, R., Khan, F., Sadiq, R., Amyotte, P. and Veitch, B. (2011). Analyzing system safety and risks under uncertainty using a bow-tie diagram : An innovative approach. Process Safety and Environmental Protection, 91(1–2), 1–18. https://doi.org/10.1016/j.psep.2011.08.010
Gai, W., Du, Y. and Deng, Y. (2018). Regional evacuation modeling for toxic-cloud releases and its application in strategy assessment of evacuation warning. Safety Science, 109(March), 256–269. https://doi.org/10.1016/j.ssci.2018.06.007
Ghaleh, S., Omidvari, M., Nassiri, P. and Momeni, M. (2019). Pattern of safety risk assessment in road fl eet transportation of hazardous materials ( oil materials ). Safety Science, 116(May 2018), 1–12. https://doi.org/10.1016/j.ssci.2019.02.039
Guan, W., Liu, Q. and Dong, C. (2022). Risk assessment method for industrial accident consequences and human vulnerability in urban areas. Journal of Loss Prevention in the Process Industries, 104745. https://doi.org/https://doi.org/10.1016/j.jlp.2022.104745
Guo, X., Ji, J., Khan, F. and Ding, L. (2020). Fuzzy bayesian network based on an improved similarity aggregation method for risk assessment of storage tank accident. Process Safety and Environmental Protection, 144, 242–252. https://doi.org/10.1016/j.psep.2020.07.030
Huang, W., Huang, F., Fang, J. and Fu, L. (2020). Journal of Petroleum Science and Engineering A calculation method for the numerical simulation of oil products evaporation and vapor diffusion in an internal floating-roof tank under the unsteady operating state. Journal of Petroleum Science and Engineering, 188(September 2019), 106867. https://doi.org/10.1016/j.petrol.2019.106867
Kang, J., Liang, W., Zhang, L., Lu, Z., Liu, D., Yin, W. and Zhang, G. (2014). A new risk evaluation method for oil storage tank zones based on the theory of two types of hazards. Journal of Loss Prevention in the Process Industries, 29(1), 267–276. https://doi.org/10.1016/j.jlp.2014.03.007
KARBASI, A. A. R., NABI BIDHENDI, G. H. R., MOATAR, F. and MAHIN ABD ELAHZADEH, E. (2009). ROLE OF OIL STORAGE TANK STRUCTURE IN THE PREVENTION EMISSION OF HYDROCARBON POLLUTION. JOURNAL OF ENVIRONMENTAL STUDIES, 35(50), 73–82. https://www.sid.ir/en/journal/ViewPaper.aspx?ID=159579
Karbasi, A., Khoramnezhadian, S., Zavareh, S. R. A. and Sani, G. P. (2018). Determination of the emission rate and modeling of benzene dispersion due to surface evaporation from an oil pit. Journal of Air Pollution and Health, 3(3 SE-Original Research). https://japh.tums.ac.ir/index.php/japh/article/view/173
Khashei-siuki, A. and Sharifan, H. (2020). Groundwater for Sustainable Development Comparison of AHP and FAHP methods in determining suitable areas for drinking water harvesting in Birjand aquifer . Iran. Groundwater for Sustainable Development, 10(December 2019), 100328. https://doi.org/10.1016/j.gsd.2019.100328
Kokangül, A., Polat, U. and Dağsuyu, C. (2017). A new approximation for risk assessment using the AHP and Fine Kinney methodologies. Safety Science, 91, 24–32. https://doi.org/10.1016/j.ssci.2016.07.015
Lu, L., Liang, W., Zhang, L., Zhang, H., Lu, Z. and Shan, J. (2015). Journal of Natural Gas Science and Engineering A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie model. Journal of Natural Gas Science and Engineering, 25, 124–133. https://doi.org/10.1016/j.jngse.2015.04.029
Marhavilas, P. K., Filippidis, M., Koulinas, G. K. and Koulouriotis, D. E. (2020). An expanded HAZOP-study with fuzzy-AHP ( XPA-HAZOP technique ): Application in a sour crude-oil processing plant. Safety Science, 124(December 2019), 104590. https://doi.org/10.1016/j.ssci.2019.104590
Naikan, V. N. A. (2019). Abstract : Engineering Failure Analysis, 104195. https://doi.org/10.1016/j.engfailanal.2019.104195
Papadopoulou, M. P. and Antoniou, C. (2014). Environmental impact assessment methodological framework for liquefied natural gas terminal and transport network planning. Energy Policy, 68, 306–319. https://doi.org/10.1016/j.enpol.2014.01.044
Pouyakian, M., Jafari, M. J., Laal, F., Nourai, F. and Zarei, E. (2021). A comprehensive approach to analyze the risk of floating roof storage tanks. Process Safety and Environmental Protection, 146, 811–836. https://doi.org/10.1016/j.psep.2020.11.051
Saaty, T. L. (1988). What is the analytic hierarchy process? In Mathematical models for decision support (pp. 109–121). Springer.
Shahriar, A., Sadiq, R. and Tesfamariam, S. (2012). Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis. Journal of Loss Prevention in the Process Industries, 25(3), 505–523. https://doi.org/10.1016/j.jlp.2011.12.007
Shi, L., Shuai, J. and Xu, K. (2014). Fuzzy fault tree assessment based on improved AHP for fire and explosion accidents for steel oil storage tanks. Journal of Hazardous Materials, 278, 529–538. https://doi.org/10.1016/j.jhazmat.2014.06.034
Topuz, E., Talinli, I. and Aydin, E. (2011). Integration of environmental and human health risk assessment for industries using hazardous materials: A quantitative multi criteria approach for environmental decision makers. Environment International, 37(2), 393–403. https://doi.org/10.1016/j.envint.2010.10.013
Wang, J., Yu, X. and Zong, R. (2020). Journal of Loss Prevention in the Process Industries A dynamic approach for evaluating the consequences of toxic gas dispersion in the chemical plants using CFD and evacuation modelling. Journal of Loss Prevention in the Process Industries, 65(December 2019), 104156. https://doi.org/10.1016/j.jlp.2020.104156
Xin, P., Khan, F. and Ahmed, S. (2016). Dynamic Hazard Identification and Scenario Mapping Using Bayesian Network. https://doi.org/10.1016/j.psep.2016.11.003
Yu, W., Mingbang, T., Dongbo, W., Qiang, Z. and Shihui, S. (2012). 2012 International Symposium on Safety Science and Technology Study on the HSE management at construction site of oil and gas processing area. 45, 231–234. https://doi.org/10.1016/j.proeng.2012.08.149
Zinke, R., Melnychuk, J., Köhler, F. and Krause, U. (2020). Quantitative risk assessment of emissions from external floating roof tanks during normal operation and in case of damages using Bayesian Networks. Reliability Engineering and System Safety, 197(November 2019), 106826. https://doi.org/10.1016/j.ress.2020.106826