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dc.contributor.authorSkjold, Trygve
dc.contributor.authorHisken, Helene
dc.contributor.authorBernard, Laurence
dc.contributor.authorMauri, Lorenzo
dc.contributor.authorAtanga, Gordon
dc.contributor.authorLakshmipathy, Sunil
dc.contributor.authorLucas, Melodia
dc.contributor.authorCarcassi, Marco
dc.contributor.authoral., et
dc.date.accessioned2020-05-19T15:39:45Z
dc.date.available2020-05-19T15:39:45Z
dc.date.issued2019-09
dc.PublishedSkjold, Hisken, Bernard, Mauri, Atanga, Lakshmipathy, Lucas, Carcassi, al.. Blind-prediction: estimating the consequences of vented hydrogen deflagrations for inhomogeneous mixtures in 20-foot ISO containers. Journal of Loss Prevention in the Process Industries. 2019:61eng
dc.identifier.issn1873-3352en_US
dc.identifier.issn0950-4230en_US
dc.identifier.urihttps://hdl.handle.net/1956/22305
dc.description.abstractThis paper summarises the results from a blind-prediction benchmark study for models used for estimating the consequences of vented hydrogen deflagrations, as well as for users of such models. The work was part of the HySEA project that received funding from the Fuel Cells and Hydrogen Joint Undertaking (FCH JU) under grant agreement no. 671461. The first blind-prediction benchmark exercise in the HySEA project focused on vented explosions with homogeneous hydrogen-air mixtures in 20-foot ISO containers. The scenarios selected for the second blind-prediction study focused on vented deflagrations in inhomogeneous hydrogen-air mixtures resulting from continuous stratification of hydrogen during vertical jet releases inside 20-foot ISO containers. The deflagrations were vented through commercial vent panels located on the roof of the containers. The test program included two configurations and four experiments, i.e. two repeated tests for each scenario. The paper compares experimental results and model predictions and discusses the implications of the findings for safety related to hydrogen applications. Several modellers predicted the stratification of hydrogen inside the container during the release phase with reasonable accuracy. However, there is significant spread in the model predictions, especially for the maximum reduced explosion pressure, and including predictions from different modellers using the same model system. The results from the blind-prediction benchmark studies performed as part of the HySEA project constitute a strong incentive for developers of consequence models to improve their models, implement automated procedures for scenario definition and grid generation, and update training and guidelines for users of the models.en_US
dc.language.isoengeng
dc.publisherElsevieren_US
dc.rightsAttribution CC BY-NC-NDeng
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/eng
dc.subjectBlind-predictioneng
dc.subjectVented deflagrationeng
dc.subjectHydrogen safetyeng
dc.subjectInhomogeneous mixtureseng
dc.titleBlind-prediction: estimating the consequences of vented hydrogen deflagrations for inhomogeneous mixtures in 20-foot ISO containersen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2020-02-04T16:25:27Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019 The Authorsen_US
dc.identifier.doihttps://doi.org/10.1016/j.jlp.2019.06.013
dc.identifier.cristin1781180
dc.source.journalJournal of Loss Prevention in the Process Industries


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