Abstract
In industrializing countries, the rapid population growth frequently tends to reach the vicinity of the industrial parks, yielding an imminent hazard to the residents in the case of the occurrence of an accident. In the case of Mexico, particularly in the city of Morelia, the industries associated to the vegetable oil and margarine, originally located far from the city, have been absorbed by the city due to the high population growth. It should be noticed that this industry represents a high hazard because it uses huge amounts of hydrogen and LP gas. Therefore, to determine the potential impact of an accident for the people within and around these industries, this paper presents a quantitative risk analysis applied to the vegetable oil refining industry in Morelia. The main objective is the identification of the facilities with the highest hazard, as well as the risk analysis to the personnel inside and the people leaving around the plant. According to the quantitative risk analysis, the hydrogen processing and storage units are the most dangerous facilities inside the plant. Moreover, the identified potential accidents were boiling liquid expanding vapor explosion, flash fire, jet fire, and vapor cloud explosion, which were evaluated through the software SCRI. Furthermore, an inherent approach was applied to propose alternatives for risk reduction.
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References
Abuswer M, Amyotte P, Khan F (2013) A quantitative risk management framework for dust and hybrid mixture explosions. J Loss Prevent Process Ind 26:283–289
AICHE/CCPS (2000) Guidelines for chemical process quantitative risk analysis, 2nd edn. American Institute of Chemical Engineers, New York
Arturson G (1987) The tragedy of San Juanico-the most severe LPG disaster in history. Burns 13(2):87–102
Baesi S, Abdolhamidzadeh B, Hassan C, Hamid MD, Reniers G (2013) Application of a multi-plant QRA: a case study investigating the risk impact of the construction of a new plant on an existing chemical plant’s risk levels. J Loss Prevent Process Ind 26:895–903
Barry B (2011) The 2010 BP Gulf of Mexico oil spill: implications for theory of organizational disaster. Technol Soc 33:244–252
Bernechea EJ, Arnaldos J (2014) Optimizing the design of storage facilities through the application of ISD and QRA. Process Saf Environ Prot 92:598–615
Bonvicini S, Antonioni G, Morra P, Cozzani V (2015) Quantitative assessment of environmental risk due to accidental spills from onshore pipelines. Process Saf Environ Prot 93:31–41
Crowl DA, Louvar JF (2011) Chemical process safety fundamentals with applications, 3rd edn. Prentice Hall PTR, Upper Saddle River
Díaz-Ovalle C, Vazquez-Roman R, Mannan MS (2009) A comparison of deterministic and stochastic approaches to solve the facility layout problem with toxic releases computer. Comput Aided Chem Eng 26:93–98
Dodd D, Frank F, Fowler E, Troup C, Milton R (1987) Biological effects of short-term, high-concentration exposure to methyl isocyanate. I. Study objectives and inhalation exposure design. Environ Health Perspect 72:13–19
Eckerman I (2011) Bhopal gas catastrophe. 1984: causes and consequences. Encyclopedia of Environmental Health, Elsevier, pp 302–316
Fabbrocino G, Iervolino I, Orlando F, Salzano E (2005) Quantitative risk analysis of oil storage facilities in seismic areas. J Hazard Materials 1–3:61–69
Haag UPAM, Ale BJM (2005) Guidelines for quantitative risk assessment, Purple Book, Part one. Establishments, Publicatiereeks; Gevaarlijke Stoffen, The Hage
Han ZY, Weng WG (2011) Comparison study on qualitative and quantitative risk assessment methods for urban natural gas pipeline network. J Hazard Materials 189:509–518
Hernández-Vargas J, Martinez-Gomez J, González-Campos JB, Lara-Romero J, Ponce-Ortega JM (2015) An optimization approach for producing carbon nanotubes involving economic and safety objectives. Clean Technol Environ Policy. doi:10.1007/s10098-015-0942-9
Jo YD, Ahn BJ (2005) A method of quantitative risk assessment for transmission pipeline carrying natural gas. J Hazard Materials 123:1–12
Jung S, Ng D, Laird C, Mannan MS (2010) A new approach for facility siting using mapping risks on a plant grid area and optimization. J Loss Prevent Process Ind 23:824–830
Jung S, Ng D, Diaz-Ovalle C, Vazquez-Roman R, Mannan MS (2011) New approach to optimizing the facility siting and layout for fire and explosion scenarios. Ind Eng Chem Res 50:3928–3937
Kazantzi V, El-Halwagi AM, Kazantzis N, El-Halwagi MM (2013) Managing uncertainties in a safety-constrained process system for solvent selection and usage: an optimization approach with technical, economic, and risk factors. Clean Technol Environ Policy 15:213–224
Khan FI, Haddara MR (2004) Risk-based maintenance of ethylene oxide production facilities. J Hazard Mater 108:147–159
Kletz T (1999) HAZOP and HAZAN identifying and assessing process industry hazards, 4th edn. Institution of Chemical Engineers, London
Liu X, Rapik Saat M, Barkan CPL (2013) Integrated risk reduction framework to improve railway hazardous materials transportation safety. J Hazard Mater 260:131–140
Martinez-Gomez J, Nápoles-Rivera F, Ponce-Ortega JM, Serna-González M, El-Halwagi MM (2014) Optimization of facility siting and unit relocation with the simultaneous consideration of economic and safety issues. Ind Eng Chem Res 53:3950–3958
Ordouei MH, Elkamel A, Al-Sharrah G (2014) New simple indices for risk assessment and hazards reduction at the conceptual design stage of a chemical process. Chem Eng Sci 119:218–229
Pandian S, Hassim MH, Ng RTL, Hurme M (2015) Designing and inherently healthier process based on inherently safer design (ISD) concept: research and development stage. Clean Technol Environ Policy. doi:10.1007/s10098-015-0951-8
Papazoglou AI, Aneziris O, Konstandinidou M, Giakoumatos I (2009) Accident sequence analysis for sites producing and storing explosives. Accid Anal Prevent 41:1145–1154
SCRI (2013). http://www.dinamicaheuristica.com/index.html. Accessed Dec, 2014
Shariff AM, Zini S (2013) Using integrated toxic release consequences analysis tool for inherently safer design of process plant at preliminary design stage. Clean Technol Environ Policy 15:851–858
Topuz E, Talinli I, 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. Environ Intern 37:393–403
Varma D, Ferguson J, Alarie Y (1987) Reproductive toxicity of methyl isocyanate in mice. J Toxicol Environ Health 3:265–275
Zhiyong LI, Xiangmin P, Jianxin MA (2011) Quantitative risk assessment on 2010 Expo hydrogen station. Intern J Hydrog Energy 36:4079–4086
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The authors acknowledge the financial support from the Mexican Council for Science and Technology (CONACyT) and the Scientific Research Council of the Universidad Michoacana de San Nicolás de Hidalgo.
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Valencia-Barragán, L., Martinez-Gomez, J. & Ponce-Ortega, J.M. A quantitative risk analysis for the vegetable oil industry in Mexico. Clean Techn Environ Policy 18, 245–256 (2016). https://doi.org/10.1007/s10098-015-1011-0
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DOI: https://doi.org/10.1007/s10098-015-1011-0