Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy

Autores
Feroldi, Diego Hernán; Zumoffen, David Alejandro Ramon
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents a design methodology for a hybrid energy system based on multiple renewable power sources and bioethanol. The new concept of generation consists on having multiple power sources such as a PEM fuel cell system fed by the hydrogen produced by a bioethanol reformer and wind-solar sources working all together supervised by the energy management system. The necessary heating for the bioethanol reforming reaction can be provided by the renewable sources to enhance the efficiency of the hydrogen production. It is worth noting that, from the power balance as well as backup point of views, the hybrid system is equipped with energy storage devices. An optimal sizing methodology integrated with the energy management strategy is proposed here for designing the overall hybrid system. The suggested approach is based on genetic algorithms, using historical climate data and load demands over a period of one year. Several simulation results are given to show the methodology performance in terms of loss of power supply probability (LPSP), costs and bioethanol consumption
Fil: Feroldi, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
Materia
Renewable Energy Sources
Bioethanol
System Sizing
Energy Management Strategy
Pem Fuel Cells
Stand Alone Power Systems
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:11336/29709

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spelling Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategyFeroldi, Diego HernánZumoffen, David Alejandro RamonRenewable Energy SourcesBioethanolSystem SizingEnergy Management StrategyPem Fuel CellsStand Alone Power Systemshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This work presents a design methodology for a hybrid energy system based on multiple renewable power sources and bioethanol. The new concept of generation consists on having multiple power sources such as a PEM fuel cell system fed by the hydrogen produced by a bioethanol reformer and wind-solar sources working all together supervised by the energy management system. The necessary heating for the bioethanol reforming reaction can be provided by the renewable sources to enhance the efficiency of the hydrogen production. It is worth noting that, from the power balance as well as backup point of views, the hybrid system is equipped with energy storage devices. An optimal sizing methodology integrated with the energy management strategy is proposed here for designing the overall hybrid system. The suggested approach is based on genetic algorithms, using historical climate data and load demands over a period of one year. Several simulation results are given to show the methodology performance in terms of loss of power supply probability (LPSP), costs and bioethanol consumptionFil: Feroldi, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; ArgentinaFil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; ArgentinaPergamon-Elsevier Science Ltd.2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/29709Feroldi, Diego Hernán; Zumoffen, David Alejandro Ramon; Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy; Pergamon-Elsevier Science Ltd.; International Journal of Hydrogen Energy; 39; 16; 1-2014; 8609-86200360-3199CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0360319914000524info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhydene.2014.01.003info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:53:02Zoai:ri.conicet.gov.ar:11336/29709instacron: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 09:53:02.904CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy
title Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy
spellingShingle Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy
Feroldi, Diego Hernán
Renewable Energy Sources
Bioethanol
System Sizing
Energy Management Strategy
Pem Fuel Cells
Stand Alone Power Systems
title_short Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy
title_full Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy
title_fullStr Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy
title_full_unstemmed Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy
title_sort Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy
dc.creator.none.fl_str_mv Feroldi, Diego Hernán
Zumoffen, David Alejandro Ramon
author Feroldi, Diego Hernán
author_facet Feroldi, Diego Hernán
Zumoffen, David Alejandro Ramon
author_role author
author2 Zumoffen, David Alejandro Ramon
author2_role author
dc.subject.none.fl_str_mv Renewable Energy Sources
Bioethanol
System Sizing
Energy Management Strategy
Pem Fuel Cells
Stand Alone Power Systems
topic Renewable Energy Sources
Bioethanol
System Sizing
Energy Management Strategy
Pem Fuel Cells
Stand Alone Power Systems
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work presents a design methodology for a hybrid energy system based on multiple renewable power sources and bioethanol. The new concept of generation consists on having multiple power sources such as a PEM fuel cell system fed by the hydrogen produced by a bioethanol reformer and wind-solar sources working all together supervised by the energy management system. The necessary heating for the bioethanol reforming reaction can be provided by the renewable sources to enhance the efficiency of the hydrogen production. It is worth noting that, from the power balance as well as backup point of views, the hybrid system is equipped with energy storage devices. An optimal sizing methodology integrated with the energy management strategy is proposed here for designing the overall hybrid system. The suggested approach is based on genetic algorithms, using historical climate data and load demands over a period of one year. Several simulation results are given to show the methodology performance in terms of loss of power supply probability (LPSP), costs and bioethanol consumption
Fil: Feroldi, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
description This work presents a design methodology for a hybrid energy system based on multiple renewable power sources and bioethanol. The new concept of generation consists on having multiple power sources such as a PEM fuel cell system fed by the hydrogen produced by a bioethanol reformer and wind-solar sources working all together supervised by the energy management system. The necessary heating for the bioethanol reforming reaction can be provided by the renewable sources to enhance the efficiency of the hydrogen production. It is worth noting that, from the power balance as well as backup point of views, the hybrid system is equipped with energy storage devices. An optimal sizing methodology integrated with the energy management strategy is proposed here for designing the overall hybrid system. The suggested approach is based on genetic algorithms, using historical climate data and load demands over a period of one year. Several simulation results are given to show the methodology performance in terms of loss of power supply probability (LPSP), costs and bioethanol consumption
publishDate 2014
dc.date.none.fl_str_mv 2014-01
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/11336/29709
Feroldi, Diego Hernán; Zumoffen, David Alejandro Ramon; Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy; Pergamon-Elsevier Science Ltd.; International Journal of Hydrogen Energy; 39; 16; 1-2014; 8609-8620
0360-3199
CONICET Digital
CONICET
url http://hdl.handle.net/11336/29709
identifier_str_mv Feroldi, Diego Hernán; Zumoffen, David Alejandro Ramon; Sizing methodology for hybrid systems based on multiple renewable power sources integrated to the energy management strategy; Pergamon-Elsevier Science Ltd.; International Journal of Hydrogen Energy; 39; 16; 1-2014; 8609-8620
0360-3199
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/S0360319914000524
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhydene.2014.01.003
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
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd.
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd.
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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