Database for accidents and incidents in the biodiesel industry

Autores
Calvo Olivares, Romina Daniela; Rivera, Selva Soledad; Núñez Mc Leod, Jorge Eduardo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The present paper describes the development of an accident and incident database for the Biodiesel Industry for the period 2003-November 2013. The work performed is related to the collection of data from different documental sources and the subsequent setting of a database containing general information about adverse events, its sequence, mitigation, causes, and human, environmental and material consequences occurred in biodiesel facilities during the last ten years. This database came to fill a gap existing in this field. Availability of these data will allow applying risk analysis tools, having a management tool to check organization performance, generating lessons learned to avoid accident recurrence and identifying those accidents more likely to occur. Data statistical analysis shows that the frequency of accidents in biodiesel plants has an increasing tendency, being fires and explosions the main type of accidents that occurred. Inmediate causes and consequences of the accidents have also been analized. Finally, some conclusion are drawn concerning the need of maintaining an update accidental and incidental database and improving biodiesel plants safety based on information obtained.
Fil: Calvo Olivares, Romina Daniela. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Rivera, Selva Soledad. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Núñez Mc Leod, Jorge Eduardo. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Materia
Database
Accidents
Incidents
Biodiesel Plants
Risk Analysis
Lessons Learned
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/32238
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/32238
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Database for accidents and incidents in the biodiesel industryCalvo Olivares, Romina DanielaRivera, Selva SoledadNúñez Mc Leod, Jorge EduardoDatabaseAccidentsIncidentsBiodiesel PlantsRisk AnalysisLessons Learnedhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The present paper describes the development of an accident and incident database for the Biodiesel Industry for the period 2003-November 2013. The work performed is related to the collection of data from different documental sources and the subsequent setting of a database containing general information about adverse events, its sequence, mitigation, causes, and human, environmental and material consequences occurred in biodiesel facilities during the last ten years. This database came to fill a gap existing in this field. Availability of these data will allow applying risk analysis tools, having a management tool to check organization performance, generating lessons learned to avoid accident recurrence and identifying those accidents more likely to occur. Data statistical analysis shows that the frequency of accidents in biodiesel plants has an increasing tendency, being fires and explosions the main type of accidents that occurred. Inmediate causes and consequences of the accidents have also been analized. Finally, some conclusion are drawn concerning the need of maintaining an update accidental and incidental database and improving biodiesel plants safety based on information obtained.Fil: Calvo Olivares, Romina Daniela. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Rivera, Selva Soledad. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; ArgentinaFil: Núñez Mc Leod, Jorge Eduardo. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaElsevier2014-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32238Núñez Mc Leod, Jorge Eduardo; Rivera, Selva Soledad; Calvo Olivares, Romina Daniela; Database for accidents and incidents in the biodiesel industry; Elsevier; Journal of Loss Prevention in the Process Industries; 29; 4-2014; 245-2610950-4230CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0950423014000485info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jlp.2014.03.010info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:00:42Zoai:ri.conicet.gov.ar:11336/32238instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:00:42.793CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Database for accidents and incidents in the biodiesel industry
title Database for accidents and incidents in the biodiesel industry
spellingShingle Database for accidents and incidents in the biodiesel industry
Calvo Olivares, Romina Daniela
Database
Accidents
Incidents
Biodiesel Plants
Risk Analysis
Lessons Learned
title_short Database for accidents and incidents in the biodiesel industry
title_full Database for accidents and incidents in the biodiesel industry
title_fullStr Database for accidents and incidents in the biodiesel industry
title_full_unstemmed Database for accidents and incidents in the biodiesel industry
title_sort Database for accidents and incidents in the biodiesel industry
dc.creator.none.fl_str_mv Calvo Olivares, Romina Daniela
Rivera, Selva Soledad
Núñez Mc Leod, Jorge Eduardo
author Calvo Olivares, Romina Daniela
author_facet Calvo Olivares, Romina Daniela
Rivera, Selva Soledad
Núñez Mc Leod, Jorge Eduardo
author_role author
author2 Rivera, Selva Soledad
Núñez Mc Leod, Jorge Eduardo
author2_role author
author
dc.subject.none.fl_str_mv Database
Accidents
Incidents
Biodiesel Plants
Risk Analysis
Lessons Learned
topic Database
Accidents
Incidents
Biodiesel Plants
Risk Analysis
Lessons Learned
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The present paper describes the development of an accident and incident database for the Biodiesel Industry for the period 2003-November 2013. The work performed is related to the collection of data from different documental sources and the subsequent setting of a database containing general information about adverse events, its sequence, mitigation, causes, and human, environmental and material consequences occurred in biodiesel facilities during the last ten years. This database came to fill a gap existing in this field. Availability of these data will allow applying risk analysis tools, having a management tool to check organization performance, generating lessons learned to avoid accident recurrence and identifying those accidents more likely to occur. Data statistical analysis shows that the frequency of accidents in biodiesel plants has an increasing tendency, being fires and explosions the main type of accidents that occurred. Inmediate causes and consequences of the accidents have also been analized. Finally, some conclusion are drawn concerning the need of maintaining an update accidental and incidental database and improving biodiesel plants safety based on information obtained.
Fil: Calvo Olivares, Romina Daniela. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Rivera, Selva Soledad. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Núñez Mc Leod, Jorge Eduardo. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
description The present paper describes the development of an accident and incident database for the Biodiesel Industry for the period 2003-November 2013. The work performed is related to the collection of data from different documental sources and the subsequent setting of a database containing general information about adverse events, its sequence, mitigation, causes, and human, environmental and material consequences occurred in biodiesel facilities during the last ten years. This database came to fill a gap existing in this field. Availability of these data will allow applying risk analysis tools, having a management tool to check organization performance, generating lessons learned to avoid accident recurrence and identifying those accidents more likely to occur. Data statistical analysis shows that the frequency of accidents in biodiesel plants has an increasing tendency, being fires and explosions the main type of accidents that occurred. Inmediate causes and consequences of the accidents have also been analized. Finally, some conclusion are drawn concerning the need of maintaining an update accidental and incidental database and improving biodiesel plants safety based on information obtained.
publishDate 2014
dc.date.none.fl_str_mv 2014-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/32238
Núñez Mc Leod, Jorge Eduardo; Rivera, Selva Soledad; Calvo Olivares, Romina Daniela; Database for accidents and incidents in the biodiesel industry; Elsevier; Journal of Loss Prevention in the Process Industries; 29; 4-2014; 245-261
0950-4230
CONICET Digital
CONICET
url http://hdl.handle.net/11336/32238
identifier_str_mv Núñez Mc Leod, Jorge Eduardo; Rivera, Selva Soledad; Calvo Olivares, Romina Daniela; Database for accidents and incidents in the biodiesel industry; Elsevier; Journal of Loss Prevention in the Process Industries; 29; 4-2014; 245-261
0950-4230
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0950423014000485
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jlp.2014.03.010
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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