A quantitative risk assessment tool for the external safety of industrial plants with a dust explosion hazard

Voort, M.M. van der; Klein, Asne; Maaijer, M. de; Berg, A.C. van den; Deursen, J.R. van; Versloot, N.H.A.

doi:10.1016/j.jlp.2007.04.024

Cited by 46 publications

(12 citation statements)

References 4 publications

(3 reference statements)

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“…A recent initiative from the organization TNO of the Netherlands (van der Voort et al, 2007) illustrates an interesting approach to incorporating dust explosion probability and consequence severity considerations into a Quantitative Risk Assessment tool. The initial phase: The module was initially determined based on ignition type, cloud properties, and geometry.…”

Section: Quantitative Risk Assessment Methodology For Industrial Procmentioning

confidence: 99%

A quantitative risk management framework for dust and hybrid mixture explosions

Abuswer

Amyotte

Khan

2013

Journal of Loss Prevention in the Process Industries

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Section: Quantitative Risk Assessment Methodology For Industrial Procmentioning

confidence: 99%

A quantitative risk management framework for dust and hybrid mixture explosions

Abuswer

Amyotte

Khan

2013

Journal of Loss Prevention in the Process Industries

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“…Hesener et al [119], with reference to the pharmaceutical industry, underlined the need for having adequate systems for explosion risk management and control even in small and medium size plants. van der Voort et al [120] presented a quantitative risk assessment tool for the external safety of industrial plants with a dust explosion hazard.…”

Section: Other Factors Influencing the Dust Explosion Riskmentioning

confidence: 99%

Dust Explosion Prevention and Mitigation, Status and Developments in Basic Knowledge and in Practical Application

Eckhoff

2009

International Journal of Chemical Engineering

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Right from the early days of the process industries, continuous efforts have been made to develop and improve measures for prevention and mitigation of dust explosions in these industries. Nevertheless this hazard continues to threaten industries that manufacture, use and/or handle powders and dusts of a wide range of combustible materials. To improve methods for predicting explosion development in real industrial plant has been one major challenge. Hence, during the last years comprehensive numerical simulation codes, for addressing this problem, have been developed. Progress has also been made in other areas, for example, ignition source prevention. The importance of adopting inherently safer process design, by building on firm knowledge in powder science and technology, and of systematic education/training of personnel, is also emphasized.

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“…To this end, many experiments and simulations have been done . However, due to the complexity of dust explosions, which arises from a number of uncertain and interlinked root events, quantitative risk analysis (QRA) of such accidents has been limited …”

Section: Introductionmentioning

confidence: 99%

Risk Analysis of Dust Explosion Scenarios Using Bayesian Networks

et al. 2014

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In this study, a methodology has been proposed for risk analysis of dust explosion scenarios based on Bayesian network. Our methodology also benefits from a bow-tie diagram to better represent the logical relationships existing among contributing factors and consequences of dust explosions. In this study, the risks of dust explosion scenarios are evaluated, taking into account common cause failures and dependencies among root events and possible consequences. Using a diagnostic analysis, dust particle properties, oxygen concentration, and safety training of staff are identified as the most critical root events leading to dust explosions. The probability adaptation concept is also used for sequential updating and thus learning from past dust explosion accidents, which is of great importance in dynamic risk assessment and management. We also apply the proposed methodology to a case study to model dust explosion scenarios, to estimate the envisaged risks, and to identify the vulnerable parts of the system that need additional safety measures.

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A quantitative risk assessment tool for the external safety of industrial plants with a dust explosion hazard

Cited by 46 publications

References 4 publications

A quantitative risk management framework for dust and hybrid mixture explosions

A quantitative risk management framework for dust and hybrid mixture explosions

Dust Explosion Prevention and Mitigation, Status and Developments in Basic Knowledge and in Practical Application

Risk Analysis of Dust Explosion Scenarios Using Bayesian Networks

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