Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability
- Autores
- Flores, Julio Rolando; Cúnico, María Laura; Rodriguez, Maria Analia; Vecchietti, Aldo
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fossil sources scarcity and environmental contamination are the major factors that put the energy industry into focus. Considering the lack of accuracy in fossil reserves, we propose an optimization model to plan investments in the Argentinean energy structure taking into account uncertainty in the fossil source availability. Tactical decisions, such as the amount of primary and secondary sources produced, are included and the emission of greenhouse gases is penalized in the objective function to improve the environmental impact of the energy structure. Also, two different methods are used to model uncertainty. Fuzzy set theory is applied to generate scenarios that show the random behavior of resource availability parameters. In addition, a two-stage stochastic model is proposed to integrate the different decision levels involved in the problem and represent resource availability uncertainty in fossil fuels. Both approaches complement each other to obtain a comprehensive solution of the energy planning problem.
Fil: Flores, Julio Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Cúnico, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Rodriguez, Maria Analia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina
Fil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina - Materia
-
Energy Production
Infrastructure Optimization
Fossil Resources
Uncertainty - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/6944
Ver los metadatos del registro completo
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Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource AvailabilityFlores, Julio RolandoCúnico, María LauraRodriguez, Maria AnaliaVecchietti, AldoEnergy ProductionInfrastructure OptimizationFossil ResourcesUncertaintyhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Fossil sources scarcity and environmental contamination are the major factors that put the energy industry into focus. Considering the lack of accuracy in fossil reserves, we propose an optimization model to plan investments in the Argentinean energy structure taking into account uncertainty in the fossil source availability. Tactical decisions, such as the amount of primary and secondary sources produced, are included and the emission of greenhouse gases is penalized in the objective function to improve the environmental impact of the energy structure. Also, two different methods are used to model uncertainty. Fuzzy set theory is applied to generate scenarios that show the random behavior of resource availability parameters. In addition, a two-stage stochastic model is proposed to integrate the different decision levels involved in the problem and represent resource availability uncertainty in fossil fuels. Both approaches complement each other to obtain a comprehensive solution of the energy planning problem.Fil: Flores, Julio Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Cúnico, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Rodriguez, Maria Analia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); ArgentinaFil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaAmerican Chemical Society2014-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6944Flores, Julio Rolando; Cúnico, María Laura; Rodriguez, Maria Analia; Vecchietti, Aldo; Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability; American Chemical Society; Industrial & Engineering Chemical Research; 53; 44; 7-2014; 16984-170010888-5885enginfo:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie500459ainfo:eu-repo/semantics/altIdentifier/doi/10.1021/ie500459ainfo:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:52Zoai:ri.conicet.gov.ar:11336/6944instacron: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:34982025-09-29 09:40:52.914CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability |
title |
Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability |
spellingShingle |
Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability Flores, Julio Rolando Energy Production Infrastructure Optimization Fossil Resources Uncertainty |
title_short |
Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability |
title_full |
Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability |
title_fullStr |
Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability |
title_full_unstemmed |
Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability |
title_sort |
Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability |
dc.creator.none.fl_str_mv |
Flores, Julio Rolando Cúnico, María Laura Rodriguez, Maria Analia Vecchietti, Aldo |
author |
Flores, Julio Rolando |
author_facet |
Flores, Julio Rolando Cúnico, María Laura Rodriguez, Maria Analia Vecchietti, Aldo |
author_role |
author |
author2 |
Cúnico, María Laura Rodriguez, Maria Analia Vecchietti, Aldo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Energy Production Infrastructure Optimization Fossil Resources Uncertainty |
topic |
Energy Production Infrastructure Optimization Fossil Resources Uncertainty |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Fossil sources scarcity and environmental contamination are the major factors that put the energy industry into focus. Considering the lack of accuracy in fossil reserves, we propose an optimization model to plan investments in the Argentinean energy structure taking into account uncertainty in the fossil source availability. Tactical decisions, such as the amount of primary and secondary sources produced, are included and the emission of greenhouse gases is penalized in the objective function to improve the environmental impact of the energy structure. Also, two different methods are used to model uncertainty. Fuzzy set theory is applied to generate scenarios that show the random behavior of resource availability parameters. In addition, a two-stage stochastic model is proposed to integrate the different decision levels involved in the problem and represent resource availability uncertainty in fossil fuels. Both approaches complement each other to obtain a comprehensive solution of the energy planning problem. Fil: Flores, Julio Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina Fil: Cúnico, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina Fil: Rodriguez, Maria Analia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina Fil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina |
description |
Fossil sources scarcity and environmental contamination are the major factors that put the energy industry into focus. Considering the lack of accuracy in fossil reserves, we propose an optimization model to plan investments in the Argentinean energy structure taking into account uncertainty in the fossil source availability. Tactical decisions, such as the amount of primary and secondary sources produced, are included and the emission of greenhouse gases is penalized in the objective function to improve the environmental impact of the energy structure. Also, two different methods are used to model uncertainty. Fuzzy set theory is applied to generate scenarios that show the random behavior of resource availability parameters. In addition, a two-stage stochastic model is proposed to integrate the different decision levels involved in the problem and represent resource availability uncertainty in fossil fuels. Both approaches complement each other to obtain a comprehensive solution of the energy planning problem. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-07 |
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/11336/6944 Flores, Julio Rolando; Cúnico, María Laura; Rodriguez, Maria Analia; Vecchietti, Aldo; Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability; American Chemical Society; Industrial & Engineering Chemical Research; 53; 44; 7-2014; 16984-17001 0888-5885 |
url |
http://hdl.handle.net/11336/6944 |
identifier_str_mv |
Flores, Julio Rolando; Cúnico, María Laura; Rodriguez, Maria Analia; Vecchietti, Aldo; Optimizing the Energy Production Infrastructure Considering Uncertainty in Fossil Resource Availability; American Chemical Society; Industrial & Engineering Chemical Research; 53; 44; 7-2014; 16984-17001 0888-5885 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie500459a info:eu-repo/semantics/altIdentifier/doi/10.1021/ie500459a info:eu-repo/semantics/altIdentifier/doi/ |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Chemical Society |
publisher.none.fl_str_mv |
American Chemical Society |
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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13.070432 |