Modelling Ignition Probabilities within the Framework of Quantitative Risk Assessments

The calculation and modeling of ignition probability of a flammable gas cloud and of flammable vapors is a fundamental step within a Quantitative Risk Assessment (QRA). The numerical quantification of these probabilities can substantially change the resulting scenarios and events likelihood assessme...

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Main Authors: M. Pesce, P. Paci, S. Garrone, R. Pastorino, B. Fabiano
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2012-05-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/7409
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spelling doaj-d14dd48e3ef54301be513924ef18dcca2021-02-22T21:10:18ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162012-05-012610.3303/CET1226024Modelling Ignition Probabilities within the Framework of Quantitative Risk AssessmentsM. PesceP. PaciS. GarroneR. PastorinoB. FabianoThe calculation and modeling of ignition probability of a flammable gas cloud and of flammable vapors is a fundamental step within a Quantitative Risk Assessment (QRA). The numerical quantification of these probabilities can substantially change the resulting scenarios and events likelihood assessment, and consequently the assessed level of risk. Calculation and modeling of ignition probabilities is frequently approached with very simple models, widely used despite the fact that the same authors often declared their methods as "highly speculative". A critical review on the commonly used data and methodologies reveals that, in most cases, these models are based on small data populations, highly localized, thus giving rise to doubts about their general applicability and validity. Moreover most methods lack capability of predicting differences between immediate and delayed ignition with a reasonable accuracy. On this basis, the focus of the present paper is to develop a more sophisticated framework, still simple and quick to apply, for calculating immediate and delayed ignition probabilities on a sounder manner than currently allowed by the "traditional" methods.https://www.cetjournal.it/index.php/cet/article/view/7409
collection DOAJ
language English
format Article
sources DOAJ
author M. Pesce
P. Paci
S. Garrone
R. Pastorino
B. Fabiano
spellingShingle M. Pesce
P. Paci
S. Garrone
R. Pastorino
B. Fabiano
Modelling Ignition Probabilities within the Framework of Quantitative Risk Assessments
Chemical Engineering Transactions
author_facet M. Pesce
P. Paci
S. Garrone
R. Pastorino
B. Fabiano
author_sort M. Pesce
title Modelling Ignition Probabilities within the Framework of Quantitative Risk Assessments
title_short Modelling Ignition Probabilities within the Framework of Quantitative Risk Assessments
title_full Modelling Ignition Probabilities within the Framework of Quantitative Risk Assessments
title_fullStr Modelling Ignition Probabilities within the Framework of Quantitative Risk Assessments
title_full_unstemmed Modelling Ignition Probabilities within the Framework of Quantitative Risk Assessments
title_sort modelling ignition probabilities within the framework of quantitative risk assessments
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2012-05-01
description The calculation and modeling of ignition probability of a flammable gas cloud and of flammable vapors is a fundamental step within a Quantitative Risk Assessment (QRA). The numerical quantification of these probabilities can substantially change the resulting scenarios and events likelihood assessment, and consequently the assessed level of risk. Calculation and modeling of ignition probabilities is frequently approached with very simple models, widely used despite the fact that the same authors often declared their methods as "highly speculative". A critical review on the commonly used data and methodologies reveals that, in most cases, these models are based on small data populations, highly localized, thus giving rise to doubts about their general applicability and validity. Moreover most methods lack capability of predicting differences between immediate and delayed ignition with a reasonable accuracy. On this basis, the focus of the present paper is to develop a more sophisticated framework, still simple and quick to apply, for calculating immediate and delayed ignition probabilities on a sounder manner than currently allowed by the "traditional" methods.
url https://www.cetjournal.it/index.php/cet/article/view/7409
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