Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | por |
Título da fonte: | Manancial - Repositório Digital da UFSM |
dARK ID: | ark:/26339/0013000008b63 |
Texto Completo: | http://repositorio.ufsm.br/handle/1/30581 |
Resumo: | In this work, the projection of hydrogen supply as an energy vector for integration into electrical systems is explored. The Bass model with variable innovation coefficients is used to design different green hydrogen (H2V) production curves in Brazil. And the system dynamics technique is applied to the model. The results show that in the Power-to-Power model, regardless of efficiency, the process requires more energy than that stored as H2V. Therefore, the careful use of electrical energy for storage in H2V is essential, since unlike other primary energy sources electrical energy is not freely found in nature. As for the projections, with the conservative growth and likely to occur the supply of H2V in Brazil in 10 years (2033) would represent about 10.64% of the global demand that will be about 240.7 million m3 approximately. https://doi.org/10.53316/sepoc2023.017 |
id |
UFSM_6e655062b78e8da3523a2ccd5e0281bf |
---|---|
oai_identifier_str |
oai:repositorio.ufsm.br:1/30581 |
network_acronym_str |
UFSM |
network_name_str |
Manancial - Repositório Digital da UFSM |
repository_id_str |
|
spelling |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemasHydrogenProjectionBass modelStorageCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAIn this work, the projection of hydrogen supply as an energy vector for integration into electrical systems is explored. The Bass model with variable innovation coefficients is used to design different green hydrogen (H2V) production curves in Brazil. And the system dynamics technique is applied to the model. The results show that in the Power-to-Power model, regardless of efficiency, the process requires more energy than that stored as H2V. Therefore, the careful use of electrical energy for storage in H2V is essential, since unlike other primary energy sources electrical energy is not freely found in nature. As for the projections, with the conservative growth and likely to occur the supply of H2V in Brazil in 10 years (2033) would represent about 10.64% of the global demand that will be about 240.7 million m3 approximately. https://doi.org/10.53316/sepoc2023.017Brasil2023-11-21T13:06:06Z2023-11-21T13:06:06Z2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfhttp://repositorio.ufsm.br/handle/1/30581ark:/26339/0013000008b63por15TH SEMINAR ON POWER ELECTRONICS AND CONTROL (SEPOC 2023)Chiquete, Hilquias Silva EpalangaGoulart, Diego DornelesParqui, Wilson Omar RamosSperandio, Mauricioinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2023-11-21T13:06:06Zoai:repositorio.ufsm.br:1/30581Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2023-11-21T13:06:06Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas |
title |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas |
spellingShingle |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas Chiquete, Hilquias Silva Epalanga Hydrogen Projection Bass model Storage CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
title_short |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas |
title_full |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas |
title_fullStr |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas |
title_full_unstemmed |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas |
title_sort |
Potencial de oferta do hidrogênio como vetor energético no Brasil com base na análise da técnica de dinâmica de sistemas |
author |
Chiquete, Hilquias Silva Epalanga |
author_facet |
Chiquete, Hilquias Silva Epalanga Goulart, Diego Dorneles Parqui, Wilson Omar Ramos Sperandio, Mauricio |
author_role |
author |
author2 |
Goulart, Diego Dorneles Parqui, Wilson Omar Ramos Sperandio, Mauricio |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Chiquete, Hilquias Silva Epalanga Goulart, Diego Dorneles Parqui, Wilson Omar Ramos Sperandio, Mauricio |
dc.subject.por.fl_str_mv |
Hydrogen Projection Bass model Storage CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
topic |
Hydrogen Projection Bass model Storage CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
description |
In this work, the projection of hydrogen supply as an energy vector for integration into electrical systems is explored. The Bass model with variable innovation coefficients is used to design different green hydrogen (H2V) production curves in Brazil. And the system dynamics technique is applied to the model. The results show that in the Power-to-Power model, regardless of efficiency, the process requires more energy than that stored as H2V. Therefore, the careful use of electrical energy for storage in H2V is essential, since unlike other primary energy sources electrical energy is not freely found in nature. As for the projections, with the conservative growth and likely to occur the supply of H2V in Brazil in 10 years (2033) would represent about 10.64% of the global demand that will be about 240.7 million m3 approximately. https://doi.org/10.53316/sepoc2023.017 |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-21T13:06:06Z 2023-11-21T13:06:06Z 2023 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/30581 |
dc.identifier.dark.fl_str_mv |
ark:/26339/0013000008b63 |
url |
http://repositorio.ufsm.br/handle/1/30581 |
identifier_str_mv |
ark:/26339/0013000008b63 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
15TH SEMINAR ON POWER ELECTRONICS AND CONTROL (SEPOC 2023) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brasil |
publisher.none.fl_str_mv |
Brasil |
dc.source.none.fl_str_mv |
reponame:Manancial - Repositório Digital da UFSM instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Manancial - Repositório Digital da UFSM |
collection |
Manancial - Repositório Digital da UFSM |
repository.name.fl_str_mv |
Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
atendimento.sib@ufsm.br||tedebc@gmail.com |
_version_ |
1815172303881764864 |