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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AIDIC Servizi S.r.l.
2012-05-01
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Series: | Chemical Engineering Transactions |
Online Access: | https://www.cetjournal.it/index.php/cet/article/view/7409 |
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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 |
work_keys_str_mv |
AT mpesce modellingignitionprobabilitieswithintheframeworkofquantitativeriskassessments AT ppaci modellingignitionprobabilitieswithintheframeworkofquantitativeriskassessments AT sgarrone modellingignitionprobabilitieswithintheframeworkofquantitativeriskassessments AT rpastorino modellingignitionprobabilitieswithintheframeworkofquantitativeriskassessments AT bfabiano modellingignitionprobabilitieswithintheframeworkofquantitativeriskassessments |
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