Effect of Meteorological Variables on Energy Demand in the Northeast and Southeast Regions of Brazil

Helber Barros Gomes (), Dirceu Luís Herdies, Luiz Fernando dos Santos, João Augusto Hackerott, Bruno Ribeiro Herdies, Fabrício Daniel dos Santos Silva, Maria Cristina Lemos da Silva, Mario Francisco Leal de Quadro, Robinson Semolini, Amanda Cortez, Bruna Schatz, Bruno Dantas Cerqueira and Djanilton Henrique Moura Junior
Additional contact information
Helber Barros Gomes: Instituto de Ciências Atmosféricas (ICAT), Universidade Federal de Alagoas (UFAL), Maceió 57072-970, AL, Brazil
Dirceu Luís Herdies: Instituto Nacional de Pesquisas Espaciais (INPE), Cachoeira Paulista 12630-000, SP, Brazil
Luiz Fernando dos Santos: Tempo OK Tecnologia em Meteorologia LTDA, São Paulo 05510-020, SP, Brazil
João Augusto Hackerott: Tempo OK Tecnologia em Meteorologia LTDA, São Paulo 05510-020, SP, Brazil
Bruno Ribeiro Herdies: Faculdade de Zootecnia e Engenharia de Alimentos (USP/FZEA), Universidade de São Paulo, Pirassununga 13635-900, SP, Brazil
Fabrício Daniel dos Santos Silva: Instituto de Ciências Atmosféricas (ICAT), Universidade Federal de Alagoas (UFAL), Maceió 57072-970, AL, Brazil
Maria Cristina Lemos da Silva: Instituto de Ciências Atmosféricas (ICAT), Universidade Federal de Alagoas (UFAL), Maceió 57072-970, AL, Brazil
Mario Francisco Leal de Quadro: Instituto Federal de Santa Catarina, Florianópolis 88020-300, SC, Brazil
Robinson Semolini: Neoenergia Elektro, Campinas 13053-024, SP, Brazil
Amanda Cortez: Neoenergia Elektro, Campinas 13053-024, SP, Brazil
Bruna Schatz: Neoenergia Elektro, Campinas 13053-024, SP, Brazil
Bruno Dantas Cerqueira: Neoenergia Coelba, Salvador 41186-900, BA, Brazil
Djanilton Henrique Moura Junior: Neoenergia COSERN, Natal 59078-270, RN, Brazil

Energies, 2024, vol. 17, issue 19, 1-12

Abstract: Energy 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.

Keywords: energy demand; temperature; precipitation; Brazil (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/19/4776/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/19/4776/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:19:p:4776-:d:1484761

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().