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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6944
Acceder
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network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-10-15T14:30:43Zoai: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:34982025-10-15 14:30:44.228CONICET 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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score 13.22299

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