Worst maximum credible accidental scenarios (WMCAS) - A new methodology to identify accident scenarios for risk assessment

Abstract The identification of accident scenarios is the key step for risk assessment in process industries. In this paper, the methodology of worst maximum credible accidental scenarios (WMCAS) was put forward based on the analysis of the existing accident scenarios (the worst accident scenarios (WAS), the maximum-credible accident scenarios (MAS) and reference accident scenarios (RAS)). The principle and procedure of WMCAS identification have also been established. Firstly, WAS can be determined based on the Methodology for the Identification of Major Accident Hazards (MIMAH) used in the frame of the Accidental Risk Assessment Methodology for Industries (ARAMIS) project. Secondly, the modified method of credibility factor in MAS is used to calculate the credibility of WAS. Finally, the WMCAS will be identified by comparing the modified credibility results of WAS. Simultaneously, a pulverized coal gasification device was selected as an illustrative example to show the application of the methodology of WMCAS. The results show that the WMCAS for the device are pool fire for the methanol vessel, mechanical explosion for the gasification furnace, vapour cloud explosion (VCE) for the scrubber and VCE for the carbon dioxide absorption tower.

[1]  M Sam Mannan,et al.  The Evolution of Process Safety: Current Status and Future Direction. , 2016, Annual review of chemical and biomolecular engineering.

[2]  Dongil Shin,et al.  Optimal layout of additional facilities for minimization of domino effects based on worst-case scenarios , 2011 .

[3]  M. Sam Mannan,et al.  An approach to solve the facility layout problem based on the worst-case scenario , 2010, Journal of Loss Prevention in the Process Industries.

[4]  Faisal Khan,et al.  How to make inherent safety practice a reality , 2008 .

[5]  Michalis Christou,et al.  Identification of reference accident scenarios in SEVESO establishments , 2005, Reliab. Eng. Syst. Saf..

[6]  Christian Delvosalle,et al.  ARAMIS project: a comprehensive methodology for the identification of reference accident scenarios in process industries. , 2006, Journal of hazardous materials.

[7]  Enrico Zio,et al.  Some considerations on the treatment of uncertainties in risk assessment for practical decision making , 2011, Reliab. Eng. Syst. Saf..

[8]  I. L. Hirst,et al.  A “worst case” methodology for risk assessment of major accident installations , 2000 .

[9]  Faisal Khan,et al.  Risk analysis of a petrochemical industry using ORA (optimal risk analysis) procedure , 2001 .

[10]  Valerio Cozzani,et al.  Reference criteria for the identification of accident scenarios in the framework of land use planning , 2013 .

[11]  Faisal Khan,et al.  A criterion for developing credible accident scenarios for risk assessment , 2002 .

[12]  Faisal Khan,et al.  Evaluation of available indices for inherently safer design options , 2003 .

[13]  B Silvetti,et al.  Environmental vulnerability assessment in the vicinity of an industrial site in the frame of ARAMIS European project. , 2006, Journal of hazardous materials.

[14]  Shahid Abbas Abbasi,et al.  The world's worst industrial accident of the 1990s what happened and what might have been: A quantitative study , 1999 .

[15]  Spyros Sklavounos,et al.  Estimation of safety distances in the vicinity of fuel gas pipelines , 2006 .

[16]  Mark G. Stewart,et al.  Risk assessment for civil engineering facilities: critical overview and discussion , 2003, Reliab. Eng. Syst. Saf..

[17]  Cécile Fiévez,et al.  ARAMIS project: a more explicit demonstration of risk control through the use of bow-tie diagrams and the evaluation of safety barrier performance. , 2006, Journal of hazardous materials.

[18]  Gisle Andersen,et al.  Inadequate risk assessments – A study on worst-case scenarios related to petroleum exploitation in the Lofoten area , 2014 .

[19]  Olivier Salvi,et al.  A global view on ARAMIS, a risk assessment methodology for industries in the framework of the SEVESO II directive. , 2006, Journal of hazardous materials.

[20]  Nir Keren,et al.  Operational risk assessment of chemical industries by exploiting accident databases , 2007 .

[21]  Faisal Khan,et al.  Use Maximum-Credible Accident Scenarios for Realistic and Reliable Risk Assessment , 2001 .

[22]  I L Hirst,et al.  'Worst case' methodology for the initial assessment of societal risk from proposed major accident installations. , 2000, Journal of hazardous materials.

[23]  Tomasz Olewski,et al.  A CFD based model to predict film boiling heat transfer of cryogenic liquids , 2016 .