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dc.contributor.author
Kraft, Romina Alejandra  
dc.contributor.author
Orellano, Santiago  
dc.contributor.author
Mores, Patricia Liliana  
dc.contributor.author
Scenna, Nicolas Jose  
dc.date.available
2023-12-14T13:52:37Z  
dc.date.issued
2023-07  
dc.identifier.citation
Kraft, Romina Alejandra; Orellano, Santiago; Mores, Patricia Liliana; Scenna, Nicolas Jose; BLEVE: Safety distances estimation by simple models based on the Jakob number; Elsevier; Journal of Loss Prevention in the Process Industries; 83; 7-2023; 1-17  
dc.identifier.issn
0950-4230  
dc.identifier.uri
http://hdl.handle.net/11336/220344  
dc.description.abstract
One of the most important points in the design of inherently safe processes is to estimate reliable distances among process units at preliminary stages of the plant project to minimize losses and damages caused by the potential occurrence of technological accidents. Therefore, in this paper the achievement of simple, general, dimensionless and reliable equations (Simple Dimensionless Models SDMs) for the direct estimation of safety distances considering the occurrence of BLEVE (Boiling Liquid Expanding Vapour Explosion) event, is proposed. The developed models directly relate safety distances with critical design/operation variables (involved substance, vessel volume, target vulnerability and explosion temperature), which are easily accessible at early stages of the plant project. SDMs are achieved by analysing the influence of these simple variables on the safety distances, which are estimated using a selected rigorous model (Reference Model RfM). This task is simplified by the incorporation of the Jakob Number as an input variable, allowing to obtain dimensionless models and simultaneously an adequate representation of the explosion conditions and the involved substances. As result, the achieved SDMs demonstrate a particularly good fit with respect to the RfM estimations and, at the same time, reliability and versatility. As it is shown in the analysed study cases (involving critical decision variables for the process design and the system safety), the SDMs prove to be also accurate, general, and easily incorporable into more complex optimization problems (QRA analysis, design of emergency plans, safety distance estimation to minimize the probability of domino effects, optimal layout designs, among others).  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights
Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BLEVE  
dc.subject
JAKOB NUMBER  
dc.subject
SAFETY DISTANCE  
dc.subject
SIMPLE MODEL  
dc.subject.classification
Ingeniería de Procesos Químicos  
dc.subject.classification
Ingeniería Química  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
BLEVE: Safety distances estimation by simple models based on the Jakob number  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-12-12T15:47:33Z  
dc.journal.volume
83  
dc.journal.pagination
1-17  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Kraft, Romina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina  
dc.description.fil
Fil: Orellano, Santiago. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina  
dc.description.fil
Fil: Mores, Patricia Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina  
dc.description.fil
Fil: Scenna, Nicolas Jose. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina  
dc.journal.title
Journal of Loss Prevention in the Process Industries  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0950423023000992  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jlp.2023.105069