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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/4B62RMH
Repositóriosid.inpe.br/mtc-m21d/2024/04.17.13.10   (acesso restrito)
Última Atualização2024:10.21.15.58.13 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2024/04.17.13.10.28
Última Atualização dos Metadados2024:10.21.16.07.28 (UTC) simone
Chave SecundáriaINPE--PRE/
DOI10.3390/en17194776
ISSN1996-1073
Chave de CitaçãoGomesHSHHSSQSCSCM:2024:EfMeVa
TítuloEffect of Meteorological Variables on Energy Demand in the Northeast and Southeast Regions of Brazil
Ano2024
MêsOct.
Data de Acesso09 maio 2025
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4328 KiB
2. Contextualização
Autor 1 Gomes, Helbert
 2 Herdies, Dirceu Luis
 3 Santos, Luiz Fernando
 4 Hackerott, João Augusto
 5 Herdies, Buno Ribeiro
 6 Silva, Fabrício Daniel dos Santos
 7 Silva, Maria Cristina Lemos da
 8 Quadro, Mário
 9 Semolini, Robinson
10 Cortez, Amanda
11 Schatz, Bruna
12 Cerqueira, Bruno Dantas
13 Mota Júnior, Djanilton Henrique
Identificador de Curriculo 1
 2 8JMKD3MGP5W/3C9JGTU
ORCID 1 0000-0001-9972-9990
 2
 3
 4
 5
 6
 7 0000-0002-4854-4432
Grupo 1
 2 DIIAV-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 Universidade Federal de Alagoas (UFAL)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Tempo Ok Tecnologia em Meteorologia
 4 Tempo Ok Tecnologia em Meteorologia
 5 Universidade de São Paulo (USP)
 6 Universidade Federal de Alagoas (UFAL)
 7 Universidade Federal de Alagoas (UFAL)
 8 Instituto Federal de Santa Catarina (IFSC)
 9 Neoenergia Elektro
10 Neoenergia Elektro
11 Neoenergia Elektro
12 Neoenergia Coelba
13 Neoenergia COSERN
Endereço de e-Mail do Autor 1 helber.gomes@icat.ufal.br
 2 dherdies@gmail.com
 3 luiz.fernando@tempook.com
 4 joao.hackerott@tempook.com
 5
 6 fabricio.santos@icat.ufal.br
 7 cristina.lemos@icat.ufal.br
 8 mquadro95@gmail.com
 9 robinson.semolini@neoenergia.com
10 amanda.cortez@neoenergia.com
11 bruna.schatz@neoenergia.com
12 bdantas@neoenergia.com
13 djanilton.junior@neoenergia.com
RevistaEnergies
Volume17
Número19
Páginase4776
Nota SecundáriaA2_CIÊNCIAS_AGRÁRIAS_I B1_INTERDISCIPLINAR B1_ENGENHARIAS_II
Histórico (UTC)2024-04-17 13:18:04 :: simone -> administrator :: 2024
2024-04-21 08:12:22 :: administrator -> simone :: 2024
2024-10-21 15:58:13 :: simone -> administrator :: 2024
2024-10-21 15:59:39 :: administrator -> simone :: 2024
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveenergy demand
temperature
precipitation
Brazil
ResumoEnergy consumption demand has shown successive records during recent months, primarily associated with heat waves in almost all Brazilian states. The effects of climate change induced by global warming and the increasingly frequent occurrence of extreme events, mainly regarding temperature and precipitation, are associated with this increase in demand. In this sense, the impact of meteorological variables on load demand in some substations in the northeast and southeast of Brazil was analyzed, considering the historical series of energy injected into these substations. Fifteen substations were analyzed: three in the state of São Paulo, six in Bahia, three in Pernambuco, and three in Rio Grande do Norte. Initially, essential quality control was carried out on the energy injection data. The SAMeT data sets were used for the variable temperature, and Xavier was used for precipitation and relative humidity to obtain a homogeneous data series. Daily and monthly data were used for a detailed analysis of these variables in energy demand over the northeast and southeast regions of Brazil. Some regions were observed to be sensitive to the maximum temperature variable, while others were sensitive to the average temperature. On the other hand, few cases showed the highest correlation with the precipitation and relative humidity variables, with most cases being considered slight or close to zero. A more refined analysis was based on the type of consumers associated with each substation. These results showed that where consumption is more residential, the highest correlations were associated with maximum temperature in most stations in the northeast and average temperature in the southeast. In regions where consumption is primarily rural, the correlation observed with precipitation and relative humidity was the highest despite being negative. A more detailed analysis shows that rural production is associated with irrigation in these substations, which partly explains consumption, as when rainfall occurs, the demand for irrigation decreases, and thus energy consumption is reduced.
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoenergies-17-04776.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2021/06.04.03.40.25
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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