Medium-term projection for the National Hydro-Electrical System using wavelets

Detalhes bibliográficos
Autor(a) principal: Silva,Francisco Wellington Martins da
Data de Publicação: 2020
Outros Autores: Silveira,Cleiton da Silva, Marcos Junior,Antônio Duarte, Filho,João Dehon de Araujo Pontes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000600309
Resumo: Abstract The Brazilian energetic matrix is predominantly based on hydroelectric plants and its planning is very sensitive to climate variability in different time scales. Natural Affluent Energy (NAE) is an established planning tool to project different scenarios of possible energy production, especially in an integrated system. This work aims to fill a gap between short-term (seasonal/ interannual) and long-term (climate change) planning scales by realizing NAE medium-term projections for the Brazilian National Interconnected System basins. The historical NAE series provided by the National System Operator was used for the years 1931 to 2014. The series was divided into two periods: from 1931 to 2003 for verification, and from 2004 to 2014 for calibration. The Wavelets Auto-Regressive (WAR) model was applied from low- and medium-frequency bands. The band signal was analyzed and the NAE was projected for the years 2014 to 2024. A relationship of the NAE variability with the Pacific Decadal Oscillation (PDO) climate index and the Atlantic Multidecadal Oscillation (AMO) was verified.
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spelling Medium-term projection for the National Hydro-Electrical System using waveletsmedium-term projectionnatural affluent energywaveletsAbstract The Brazilian energetic matrix is predominantly based on hydroelectric plants and its planning is very sensitive to climate variability in different time scales. Natural Affluent Energy (NAE) is an established planning tool to project different scenarios of possible energy production, especially in an integrated system. This work aims to fill a gap between short-term (seasonal/ interannual) and long-term (climate change) planning scales by realizing NAE medium-term projections for the Brazilian National Interconnected System basins. The historical NAE series provided by the National System Operator was used for the years 1931 to 2014. The series was divided into two periods: from 1931 to 2003 for verification, and from 2004 to 2014 for calibration. The Wavelets Auto-Regressive (WAR) model was applied from low- and medium-frequency bands. The band signal was analyzed and the NAE was projected for the years 2014 to 2024. A relationship of the NAE variability with the Pacific Decadal Oscillation (PDO) climate index and the Atlantic Multidecadal Oscillation (AMO) was verified.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000600309Revista Ambiente & Água v.15 n.6 2020reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2583info:eu-repo/semantics/openAccessSilva,Francisco Wellington Martins daSilveira,Cleiton da SilvaMarcos Junior,Antônio DuarteFilho,João Dehon de Araujo Ponteseng2020-11-24T00:00:00Zoai:scielo:S1980-993X2020000600309Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2020-11-24T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Medium-term projection for the National Hydro-Electrical System using wavelets
title Medium-term projection for the National Hydro-Electrical System using wavelets
spellingShingle Medium-term projection for the National Hydro-Electrical System using wavelets
Silva,Francisco Wellington Martins da
medium-term projection
natural affluent energy
wavelets
title_short Medium-term projection for the National Hydro-Electrical System using wavelets
title_full Medium-term projection for the National Hydro-Electrical System using wavelets
title_fullStr Medium-term projection for the National Hydro-Electrical System using wavelets
title_full_unstemmed Medium-term projection for the National Hydro-Electrical System using wavelets
title_sort Medium-term projection for the National Hydro-Electrical System using wavelets
author Silva,Francisco Wellington Martins da
author_facet Silva,Francisco Wellington Martins da
Silveira,Cleiton da Silva
Marcos Junior,Antônio Duarte
Filho,João Dehon de Araujo Pontes
author_role author
author2 Silveira,Cleiton da Silva
Marcos Junior,Antônio Duarte
Filho,João Dehon de Araujo Pontes
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva,Francisco Wellington Martins da
Silveira,Cleiton da Silva
Marcos Junior,Antônio Duarte
Filho,João Dehon de Araujo Pontes
dc.subject.por.fl_str_mv medium-term projection
natural affluent energy
wavelets
topic medium-term projection
natural affluent energy
wavelets
description Abstract The Brazilian energetic matrix is predominantly based on hydroelectric plants and its planning is very sensitive to climate variability in different time scales. Natural Affluent Energy (NAE) is an established planning tool to project different scenarios of possible energy production, especially in an integrated system. This work aims to fill a gap between short-term (seasonal/ interannual) and long-term (climate change) planning scales by realizing NAE medium-term projections for the Brazilian National Interconnected System basins. The historical NAE series provided by the National System Operator was used for the years 1931 to 2014. The series was divided into two periods: from 1931 to 2003 for verification, and from 2004 to 2014 for calibration. The Wavelets Auto-Regressive (WAR) model was applied from low- and medium-frequency bands. The band signal was analyzed and the NAE was projected for the years 2014 to 2024. A relationship of the NAE variability with the Pacific Decadal Oscillation (PDO) climate index and the Atlantic Multidecadal Oscillation (AMO) was verified.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000600309
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000600309
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2583
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
dc.source.none.fl_str_mv Revista Ambiente & Água v.15 n.6 2020
reponame:Revista Ambiente & Água
instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron:IPABHI
instname_str Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron_str IPABHI
institution IPABHI
reponame_str Revista Ambiente & Água
collection Revista Ambiente & Água
repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
repository.mail.fl_str_mv ||ambi.agua@gmail.com
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