Advanced methods for risk assessment and management of domino effect

Abstract This chapter aims to present an overview of advanced methods used in risk assessment and management of domino effects in the chemical process. This overview is mainly based on the materials that are mainly concerned with domino effects in chemical processes and available publicly. The research community has contributed numerous advanced methods for risk assessment and management of domino effects, and these methods are divided into Computational Fluid Dynamics (CFD) models, probabilistic modes, and other models in this chapter although there are different classification methods. According to the classification, this chapter presents a review of each type of advanced models, their general procedure and effectiveness, and the applications of the related models for addressing different issues related to domino effects covering vulnerability modeling, accident evolution modeling and risk assessment, and risk management. Based on such an overview, this chapter gives readers an understanding of the evolution of advanced methods and tools used for risk assessment and management of domino effects in chemical process industries, as well as what issues these advanced methods focus on.

[1]  Vikram Garaniya,et al.  Fire impact assessment in FLNG processing facilities using Computational Fluid Dynamics (CFD) , 2017 .

[2]  Trygve Skjold,et al.  Dust Explosions in the Process Industries: Research in the Twenty-first Century , 2016 .

[3]  Kirti Bhushan Mishra,et al.  CFD modeling of large-scale flammable cloud dispersion using FLACS , 2018, Journal of Loss Prevention in the Process Industries.

[4]  Farid Kadri,et al.  Method for quantitative assessment of the domino effect in industrial sites , 2013 .

[5]  Jeom Kee Paik,et al.  Effects of structural congestion and surrounding obstacles on the overpressure loads in explosions: experiment and CFD simulations , 2018 .

[6]  Guohua Chen,et al.  Modeling and algorithm of domino effect in chemical industrial parks using discrete isolated island method , 2011 .

[7]  Mohammad Zaid Kamil,et al.  Dynamic domino effect risk assessment using Petri-nets , 2019 .

[8]  Nima Khakzad,et al.  Risk-based design of process plants with regard to domino effects and land use planning. , 2015, Journal of hazardous materials.

[9]  Valerio Cozzani,et al.  Modeling the performance of coated LPG tanks engulfed in fires. , 2009, Journal of hazardous materials.

[10]  Joaquim Casal,et al.  Domino effect in chemical accidents: main features and accident sequences. , 2010, Journal of hazardous materials.

[11]  Valerio Cozzani,et al.  Domino effect frequency assessment: The role of safety barriers , 2016 .

[12]  Valerio Cozzani,et al.  Quantitative assessment of domino and NaTech scenarios in complex industrial areas , 2014 .

[13]  Shih-Fang Tsai,et al.  Integrated assessment of safety distances for rescue work in chemical plant fires involving domino effects , 2018 .

[15]  O. Ahmadi,et al.  Consequence analysis of large-scale pool fire in oil storage terminal based on computational fluid dynamic (CFD) , 2019, Process Safety and Environmental Protection.

[16]  Valerio Cozzani,et al.  Application of domino effect quantitative risk assessment to an extended industrial area , 2009 .

[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]  Valerio Cozzani,et al.  Quantitative assessment of domino scenarios by a GIS-based software tool , 2006 .

[19]  Genserik Reniers,et al.  Developing an advanced dynamic risk analysis method for fire-related domino effects , 2020 .

[20]  Richard E. Neapolitan,et al.  Learning Bayesian networks , 2007, KDD '07.

[21]  Valerio Cozzani,et al.  A simplified model for the assessment of the impact probability of fragments. , 2004, Journal of hazardous materials.

[22]  Hendrik K. Versteeg,et al.  A Review of Research and an Experimental Study on the Pulsation of Buoyant Diffusion Flames and Pool Fires , 1996 .

[23]  Valerio Cozzani,et al.  Assessment of missile hazards: evaluation of the fragment number and drag factors. , 2009, Journal of hazardous materials.

[24]  Min Hua,et al.  Assessment of tanks vulnerability and domino effect analysis in chemical storage plants , 2019, Journal of Loss Prevention in the Process Industries.

[25]  Josep Arnaldos,et al.  A model for estimating the impact of the domino effect on accident frequencies in quantitative risk assessments of storage facilities , 2013 .

[26]  Zhirong Wang,et al.  Influence of the source size on domino effect risk caused by fragments , 2015 .

[27]  Valerio Cozzani,et al.  Performance Assessment of Passive Fire Protection Materials , 2012 .

[28]  Genserik Reniers,et al.  Preparing for major terrorist attacks against chemical clusters: Intelligently planning protection measures w.r.t. domino effects , 2014 .

[29]  Genserik Reniers,et al.  Petri-net based evaluation of emergency response actions for preventing domino effects triggered by fire , 2018 .

[30]  Shi Yi Bao,et al.  The Quantitative Assessment of Domino Effects Based on Stochastic Petri Nets , 2008 .

[31]  Chi-Min Shu,et al.  Applications of 3D QRA technique to the fire/explosion simulation and hazard mitigation within a naphtha-cracking plant , 2009 .

[32]  Valerio Cozzani,et al.  Risk reduction in road and rail LPG transportation by passive fire protection. , 2009, Journal of hazardous materials.

[33]  Elsa Pastor,et al.  Analysis of domino effect in pipelines. , 2015, Journal of hazardous materials.

[34]  Genserik Reniers,et al.  An innovative framework for determining the damage probability of equipment exposed to fire , 2017 .

[35]  Naser Badri,et al.  Anatomy of a domino accident: Roots, triggers and lessons learnt , 2012 .

[36]  M. Sam Mannan,et al.  A MINLP approach for layout designs based on the domino hazard index , 2014 .

[37]  Zhirong Wang,et al.  Study on the Rationality and Validity of Probit Models of Domino Effect to Chemical Process Equipment caused by Overpressure , 2013 .

[38]  Edward Bullister,et al.  Application of CFD (Fluent) to LNG spills into geometrically complex environments. , 2008, Journal of hazardous materials.

[39]  Sandra Jerez,et al.  Explosions and Structural Fragments as Industrial Hazard: Domino Effect and Risks , 2012 .

[40]  Faisal Khan,et al.  Models for domino effect analysis in chemical process industries , 1998 .

[41]  Jiang Juncheng,et al.  An improved probit method for assessment of domino effect to chemical process equipment caused by overpressure. , 2008, Journal of hazardous materials.

[42]  Avril Slone.  FENET - MULTI-PHYSICS ANALYSIS (MPA) THEME: A REVIEW OF COMMERCIAL MPA CAPABILITY IN 2005 , 2005 .

[43]  Aizhong Liu,et al.  Research on Area Risk Assessment for Chemical Park based on Domino Effect Model , 2012 .

[44]  Long Ding,et al.  FSEM: An approach to model contribution of synergistic effect of fires for domino effects , 2019, Reliab. Eng. Syst. Saf..

[45]  Vishnu Pareek,et al.  Computational fluid dynamics simulation of LNG pool fire radiation for hazard analysis , 2014 .

[46]  Genserik Reniers,et al.  Petri-net based cascading effect analysis of vapor cloud explosions , 2017 .

[47]  Jong-Bae Baek,et al.  CFD modeling and fire damage analysis of jet fire on hydrogen pipeline in a pipe rack structure , 2015 .

[48]  Tasneem Abbasi,et al.  A new method for assessing domino effect in chemical process industry. , 2010, Journal of hazardous materials.

[49]  Nima Khakzad,et al.  Using graph theory to analyze the vulnerability of process plants in the context of cascading effects , 2015, Reliab. Eng. Syst. Saf..

[50]  R. Kasperson,et al.  A framework for vulnerability analysis in sustainability science , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[51]  Kenneth Sörensen,et al.  A decision model to allocate protective safety barriers and mitigate domino effects , 2015, Reliab. Eng. Syst. Saf..

[52]  Ernesto Salzano,et al.  The analysis of domino accidents triggered by vapor cloud explosions , 2005, Reliab. Eng. Syst. Saf..

[53]  Farshad Nourai,et al.  A framework for minimizing domino effect through optimum spacing of storage tanks to serve in land use planning risk assessments , 2017 .

[54]  Valerio Cozzani,et al.  The quantitative assessment of domino effects caused by overpressure. Part I. Probit models. , 2004, Journal of hazardous materials.

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

[56]  Olav R. Hansen,et al.  Consequence analysis—Using a CFD model for industrial sites , 2005 .

[57]  D. C. Bull,et al.  A critical review of post piper-alpha developments in explosion science for the offshore industry , 2000 .

[58]  A. M. Birk,et al.  Stress rupture predictions of pressure vessels exposed to fully engulfing and local impingement accidental fire heat loads , 2009 .

[59]  Jae-Myung Lee,et al.  Dynamic response of structural models according to characteristics of gas explosion on topside platform , 2016 .

[60]  Faisal Khan,et al.  A numerical fire simulation approach for effectiveness analysis of fire safety measures in floating liquefied natural gas facilities , 2018, Ocean Engineering.

[61]  Guohua Chen,et al.  The probability prediction method of domino effect triggered by lightning in chemical tank farm , 2018 .

[62]  Valerio Cozzani,et al.  Identification of fireproofing zones in Oil&Gas facilities by a risk-based procedure. , 2011, Journal of hazardous materials.

[63]  A. Sharma.  Introduction to Computational Fluid Dynamics: Development, Application and Analysis , 2016 .

[64]  Yun Luo,et al.  A Simplified Methodology for Quantitative Risk Analysis of the Domino Effects in Hazardous Area , 2013 .

[65]  Valerio Cozzani,et al.  Modeling heat transfer and pressure build-up in LPG vessels exposed to fires , 2016 .

[66]  Valerio Cozzani,et al.  Escalation thresholds in the assessment of domino accidental events. , 2006, Journal of hazardous materials.

[67]  Rouzbeh Abbassi,et al.  Vulnerability analysis of process plants subject to domino effects , 2016, Reliab. Eng. Syst. Saf..

[68]  Valerio Cozzani,et al.  Safety assessment in plant layout design using indexing approach: implementing inherent safety perspective. Part 2-Domino Hazard Index and case study. , 2008, Journal of hazardous materials.

[69]  Valerio Cozzani,et al.  Behavior of intumescent epoxy resins in fireproofing applications , 2012 .

[70]  Gabriele Landucci,et al.  Coupling of integral methods and CFD for modeling complex industrial accidents , 2017 .

[71]  Valerio Cozzani,et al.  Risk Management of Domino Effects Considering Dynamic Consequence Analysis , 2014, Risk analysis : an official publication of the Society for Risk Analysis.

[72]  Depeng Kong,et al.  A time-dependent probabilistic model for fire accident analysis , 2020 .

[73]  Wout Dullaert,et al.  DomPrevPlanning©: User-friendly software for planning domino effects prevention , 2007 .

[74]  Valerio Cozzani,et al.  Vulnerability of industrial facilities to attacks with improvised explosive devices aimed at triggering domino scenarios , 2015, Reliab. Eng. Syst. Saf..

[75]  Giacomo Antonioni,et al.  Probabilistic assessment of domino effect triggered by fire: Implementation in quantitative risk assessment , 2012 .

[76]  Salim Ahmed,et al.  LNG pool fire simulation for domino effect analysis , 2015, Reliab. Eng. Syst. Saf..

[77]  Ulrich Hauptmanns.  A procedure for analyzing the flight of missiles from explosions of cylindrical vessels , 2001 .

[78]  Valerio Cozzani,et al.  The assessment of risk caused by domino effect in quantitative area risk analysis. , 2005, Journal of hazardous materials.

[79]  Rolf K. Eckhoff,et al.  Simulating Dust Explosions with the First Version of DESC , 2005 .

[80]  Lionel Estel,et al.  Analysis of domino effect in the process industry using the event tree method , 2017 .

[81]  Jian Wang,et al.  Fireball modeling and thermal hazards analysis of leaked 1,1-difluoroethane in fluorine chemical industry based on FDS , 2020, Journal of Thermal Analysis and Calorimetry.

[82]  Long Ding,et al.  A novel approach for domino effects modeling and risk analysis based on synergistic effect and accident evidence , 2020, Reliab. Eng. Syst. Saf..

[83]  Gabriele Landucci,et al.  Performance of passive fire protection for liquefied petroleum gas vessels: An experimental and numerical study , 2011 .

[84]  K. Wehrstedt,et al.  CFD simulation to predict the thermal radiation of large LNG pool fires , 2011 .

[85]  Valerio Cozzani,et al.  A methodology for the analysis of domino and cascading events in Oil & Gas facilities operating in harsh environments , 2017 .

[86]  A. Jafari,et al.  Application of CFD technique to simulate enhanced oil recovery processes: current status and future opportunities , 2019, Petroleum Science.

[87]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[88]  Valerio Cozzani,et al.  Experimental and analytical investigation of thermal coating effectiveness for 3m(3) LPG tanks engulfed by fire. , 2009, Journal of hazardous materials.

[89]  M. Zhong,et al.  Study on emergency ventilation for train fire environment in metro interchange tunnel , 2019, Building and Environment.

[90]  Kevin B. McGrattan,et al.  Numerical Modeling Of Pool Fires Using Les And Finite Volume Method For Radiation , 2003 .

[91]  E. Pastor,et al.  A priori validation of CFD modelling of hydrocarbon pool fires , 2018, Journal of Loss Prevention in the Process Industries.

[92]  Valerio Cozzani,et al.  Domino Effect Analysis Using Bayesian Networks , 2012, Risk analysis : an official publication of the Society for Risk Analysis.

[93]  E. Salzano,et al.  Numerical simulation of turbulent gas flames in tubes. , 2002, Journal of hazardous materials.

[94]  Nima Khakzad,et al.  Texas LPG fire: Domino effects triggered by natural hazards , 2018 .

[95]  Trevor Kletz,et al.  Inherently safer plants , 1985 .

[96]  Prankul Middha,et al.  CFD calculations of gas leak dispersion and subsequent gas explosions: validation against ignited impinging hydrogen jet experiments. , 2010, Journal of hazardous materials.

[97]  Yan Wu,et al.  An Layout Optimization Method For Industrial Facilities Based On Domino Hazard Index , 2019 .

[98]  Rolf K. Eckhoff,et al.  Simulation of dust explosions in complex geometries with experimental input from standardized tests , 2006 .

[99]  Brian Veitch,et al.  A model for estimating the probability of missile impact: Missiles originating from bursting horizontal cylindrical vessels , 2007 .

[100]  Zhirong Wang,et al.  Parametric approach of the domino effect for structural fragments , 2012 .

[101]  S. M. Tauseef,et al.  Domino effect in chemical process industries triggered by overpressure—Formulation of equipment-specific probits , 2017 .

[102]  Valerio Cozzani,et al.  Domino effects in the process industries : modelling, prevention and managing , 2013 .

[103]  Valerio Cozzani,et al.  Assessment of fragment projection hazard: probability distributions for the initial direction of fragments. , 2014, Journal of hazardous materials.

[104]  Roy Billinton,et al.  Reliability Evaluation of Engineering Systems , 1983 .

[105]  Valerio Cozzani,et al.  Safety assessment in plant layout design using indexing approach: implementing inherent safety perspective. Part 1 - guideword applicability and method description. , 2008, Journal of hazardous materials.

[106]  Genserik Reniers,et al.  A matrix-based modeling and analysis approach for fire-induced domino effects , 2018 .

[107]  Faisal Khan,et al.  Risk-based domino effect analysis for fire and explosion accidents considering uncertainty in processing facilities , 2018 .

[108]  Nima Khakzad,et al.  Cost-benefit management of intentional domino effects in chemical industrial areas , 2020, Process Safety and Environmental Protection.

[109]  Faisal Khan,et al.  Domino effect analysis of dust explosions using Bayesian networks , 2016 .

[110]  Faisal Khan,et al.  DOMIFFECT (DOMIno eFFECT): user-friendly software for domino effect analysis , 1998 .

[111]  Nima Khakzad,et al.  Integrating safety and security resources to protect chemical industrial parks from man-made domino effects: A dynamic graph approach , 2019, Reliab. Eng. Syst. Saf..

[112]  Giuseppe Maschio,et al.  Domino Effects Due to the Projection of Fragments: Estimation of the Impact Probability Using a Monte Carlo Simulation , 2014 .

[113]  Genserik Reniers,et al.  An innovative methodology for quickly modeling the spatial-temporal evolution of domino accidents triggered by fire , 2018, Journal of Loss Prevention in the Process Industries.

[114]  F. Heymes,et al.  CFD Study of the Behavior of LPG Tanks Exposed to Forest Fires , 2018 .

[115]  Valerio Cozzani,et al.  Assessment of domino effect: State of the art and research Needs , 2015, Reliab. Eng. Syst. Saf..

[116]  Genserik Reniers,et al.  Equipment vulnerability assessment (EVA) and pre-control of domino effects using a five-level hierarchical framework (FLHF) , 2017 .

[117]  Giuseppe Maschio,et al.  Estimation of the impact probability in domino effects due to the projection of fragments , 2015 .

[118]  Faisal Khan,et al.  Modelling the impacts of fire in a typical FLNG processing facility , 2017 .

[119]  Nima Khakzad,et al.  Application of event sequence diagram to evaluate emergency response actions during fire-induced domino effects , 2016, Reliab. Eng. Syst. Saf..

[120]  Gennaro Russo,et al.  Sub-grid scale combustion models for large eddy simulation of unsteady premixed flame propagation around obstacles. , 2010, Journal of hazardous materials.

[121]  Nima Khakzad,et al.  Application of dynamic Bayesian network to risk analysis of domino effects in chemical infrastructures , 2015, Reliab. Eng. Syst. Saf..

[122]  Pankaj Kumar Mohanty,et al.  Quantitative Assessment of Risk Caused by Domino Accidents in Chemical Process Industries , 2018 .

[123]  Tasneem Abbasi,et al.  FREEDOM II: An improved methodology to assess domino effect frequency using simulation techniques , 2014 .

[124]  Valerio Cozzani,et al.  Mitigation of fire damage and escalation by fireproofing: A risk-based strategy , 2012, Reliab. Eng. Syst. Saf..

[125]  Yanzhang Wang,et al.  Relative risk model for assessing domino effect in chemical process industry , 2016 .

[126]  Valerio Cozzani,et al.  Frequency Evaluation for Domino Scenarios Triggered by Heat Radiation Exposure , 2014 .

[127]  Genserik Reniers,et al.  Analysis of emergency response actions for preventing fire-induced domino effects based on an approach of reversed fuzzy Petri-net , 2017 .

[128]  Valerio Cozzani,et al.  Quantitative risk assessment of domino effect in Natech scenarios triggered by lightning , 2020 .

[129]  Valerio Cozzani,et al.  The assessment of the damage probability of storage tanks in domino events triggered by fire. , 2009, Accident; analysis and prevention.

[130]  Gabriele Landucci,et al.  DAMS: A Model to Assess Domino Effects by Using Agent‐Based Modeling and Simulation , 2018, Risk analysis : an official publication of the Society for Risk Analysis.

[131]  Jennifer Spinti,et al.  Large eddy simulations of accidental fires using massively parallel computers , 2003 .

[132]  Valerio Cozzani,et al.  CFD modeling of LPG vessels under fire exposure conditions , 2014 .

[133]  Faisal Khan,et al.  Combining uncertainty reasoning and deterministic modeling for risk analysis of fire-induced domino effects , 2020 .

[134]  Jiri Blazek,et al.  Computational Fluid Dynamics: Principles and Applications , 2001 .

[135]  Nima Khakzad,et al.  A thorough classification and discussion of approaches for modeling and managing domino effects in the process industries , 2020 .

[136]  Valerio Cozzani,et al.  Quantitative assessment of safety barrier performance in the prevention of domino scenarios triggered by fire , 2015, Reliab. Eng. Syst. Saf..

[137]  F. Mercier,et al.  Integrated probabilistic framework for domino effect and risk analysis , 2009, Adv. Eng. Softw..

[138]  R Rota,et al.  Hazardous gas releases in urban areas: assessment of consequences through CFD modelling. , 2010, Journal of hazardous materials.

[139]  Valerio Cozzani,et al.  Prevention of domino effect: from active and passive strategies to inherently safer design. , 2007, Journal of hazardous materials.

[140]  Neil Prophet,et al.  A risk‐based approach for predicting domino effects due to fires combining exceedance curves with dynamic thermal stress analysis , 2018 .

[141]  Te-Lung Cheng,et al.  The development of a 3D risk analysis method. , 2008, Journal of hazardous materials.

[142]  Jie Ji,et al.  Could pool fire alone cause a domino effect? , 2020, Reliab. Eng. Syst. Saf..