Electricity deficit cost estimation in Brazil by applying input-output analysis.

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Lilian Maluf Martins
Orientador(a): Erik Eduardo Rego
Banca de defesa: Erico Henrique Garcia de Brito, Eduardo Amaral Haddad
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Universidade de São Paulo
Programa de Pós-Graduação: Engenharia (Engenharia de Produção)
Departamento: Não Informado pela instituição
País: BR
Link de acesso: https://doi.org/10.11606/D.3.2018.tde-05072018-090442
Resumo: The supply chain risk management discipline studies how to address daily and extraordinary risks to avoid vulnerability and to guarantee production continuity. In the case of the electricity sector, the economic impact of interrupting the power supply is depicted by an indicator called the deficit cost, measured in monetary unit per electricity consumption unit (for example, in Brazil, R$/MWh). This value is commonly applied to cost-benefit analysis that results in decisions about maintenance and investment in the electricity system in the medium and long term, in addition to composing the short-term energy price. Most countries in the world have a thermal energy matrix, and cases in which interruption problems occur are mainly due to punctual failures in generation or transmission and last a few hours or days until maintenance is concluded. Brazil, however, has been strongly dependent on hydrological conditions ever since the main generation source became hydroelectric. Since restricted energy supply scenarios last longer, from weeks to months, a better measure for the electricity structural deficit impact is the economic loss in the deficit-affected regional production, translated as the GDP (gross domestic product) region. This dissertation estimates the Brazilian GDP marginal loss due to power deficits by applying an input-output (I/O) matrix analysis methodology and concludes that the officially adopted deficit cost is underestimated.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis Electricity deficit cost estimation in Brazil by applying input-output analysis. Estimativas do custo do déficit de energia elétrica através da análise insumo-produto. 2018-05-10Erik Eduardo RegoErico Henrique Garcia de BritoEduardo Amaral HaddadLilian Maluf MartinsUniversidade de São PauloEngenharia (Engenharia de Produção)USPBR Deficit cost Electricity Input-output Insumo-produto Outage cost Planejamento energético Produto interno bruto The supply chain risk management discipline studies how to address daily and extraordinary risks to avoid vulnerability and to guarantee production continuity. In the case of the electricity sector, the economic impact of interrupting the power supply is depicted by an indicator called the deficit cost, measured in monetary unit per electricity consumption unit (for example, in Brazil, R$/MWh). This value is commonly applied to cost-benefit analysis that results in decisions about maintenance and investment in the electricity system in the medium and long term, in addition to composing the short-term energy price. Most countries in the world have a thermal energy matrix, and cases in which interruption problems occur are mainly due to punctual failures in generation or transmission and last a few hours or days until maintenance is concluded. Brazil, however, has been strongly dependent on hydrological conditions ever since the main generation source became hydroelectric. Since restricted energy supply scenarios last longer, from weeks to months, a better measure for the electricity structural deficit impact is the economic loss in the deficit-affected regional production, translated as the GDP (gross domestic product) region. This dissertation estimates the Brazilian GDP marginal loss due to power deficits by applying an input-output (I/O) matrix analysis methodology and concludes that the officially adopted deficit cost is underestimated. Sem resumo em português. https://doi.org/10.11606/D.3.2018.tde-05072018-090442info:eu-repo/semantics/openAccessengreponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USP2023-12-21T18:16:05Zoai:teses.usp.br:tde-05072018-090442Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212018-09-20T19:49:24Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.en.fl_str_mv Electricity deficit cost estimation in Brazil by applying input-output analysis.
dc.title.alternative.pt.fl_str_mv Estimativas do custo do déficit de energia elétrica através da análise insumo-produto.
title Electricity deficit cost estimation in Brazil by applying input-output analysis.
spellingShingle Electricity deficit cost estimation in Brazil by applying input-output analysis.
Lilian Maluf Martins
title_short Electricity deficit cost estimation in Brazil by applying input-output analysis.
title_full Electricity deficit cost estimation in Brazil by applying input-output analysis.
title_fullStr Electricity deficit cost estimation in Brazil by applying input-output analysis.
title_full_unstemmed Electricity deficit cost estimation in Brazil by applying input-output analysis.
title_sort Electricity deficit cost estimation in Brazil by applying input-output analysis.
author Lilian Maluf Martins
author_facet Lilian Maluf Martins
author_role author
dc.contributor.advisor1.fl_str_mv Erik Eduardo Rego
dc.contributor.referee1.fl_str_mv Erico Henrique Garcia de Brito
dc.contributor.referee2.fl_str_mv Eduardo Amaral Haddad
dc.contributor.author.fl_str_mv Lilian Maluf Martins
contributor_str_mv Erik Eduardo Rego
Erico Henrique Garcia de Brito
Eduardo Amaral Haddad
description The supply chain risk management discipline studies how to address daily and extraordinary risks to avoid vulnerability and to guarantee production continuity. In the case of the electricity sector, the economic impact of interrupting the power supply is depicted by an indicator called the deficit cost, measured in monetary unit per electricity consumption unit (for example, in Brazil, R$/MWh). This value is commonly applied to cost-benefit analysis that results in decisions about maintenance and investment in the electricity system in the medium and long term, in addition to composing the short-term energy price. Most countries in the world have a thermal energy matrix, and cases in which interruption problems occur are mainly due to punctual failures in generation or transmission and last a few hours or days until maintenance is concluded. Brazil, however, has been strongly dependent on hydrological conditions ever since the main generation source became hydroelectric. Since restricted energy supply scenarios last longer, from weeks to months, a better measure for the electricity structural deficit impact is the economic loss in the deficit-affected regional production, translated as the GDP (gross domestic product) region. This dissertation estimates the Brazilian GDP marginal loss due to power deficits by applying an input-output (I/O) matrix analysis methodology and concludes that the officially adopted deficit cost is underestimated.
publishDate 2018
dc.date.issued.fl_str_mv 2018-05-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv https://doi.org/10.11606/D.3.2018.tde-05072018-090442
url https://doi.org/10.11606/D.3.2018.tde-05072018-090442
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade de São Paulo
dc.publisher.program.fl_str_mv Engenharia (Engenharia de Produção)
dc.publisher.initials.fl_str_mv USP
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade de São Paulo
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da USP
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
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reponame_str Biblioteca Digital de Teses e Dissertações da USP
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repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)
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