Wind power derivatives: definitions and applications in the Brazilian market

Detalhes bibliográficos
Ano de defesa: 2022
Autor(a) principal: Bodra, Roberto Andreotti
Orientador(a): Giovannetti, Bruno Cara, Pinto, Afonso de Campos
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Palavras-chave em Inglês:
Link de acesso: https://hdl.handle.net/10438/32997
Resumo: This thesis consists of three studies related to the volume risk faced by wind power producers in Brazil. Being an intermittent source, it is still difficult to predict when and how much power will be generated from the wind, posing challenges for producers when estimating their businesses revenues. With still limited choices to offset this type of risk, the objective of this work is to propose financial contracts dependent on wind speed that could serve as hedging instruments for renewable power producers. We performed simulations considering the entire country and five different states over three years for one-month ahead cycles. The first study compares four different wind speed forecast models, and the results show that, although the simple moving average and autoregressive models perform better in a broader sense, when analysing different regions in detail, there is no single model that fits all. The second study uses these wind speed forecasts as inputs to a generation function to estimate wind power utilization indices. The results reveal that, using the autoregressive input, we can obtain good estimates when compared to the numbers published by the ONS. The third study proposes wind power derivative contracts with utilization indices as the underlying asset. Through simulations of wind farm generation revenues, our results show that by using these derivatives combined with price derivatives, producers can reduce their potential losses and unexpected income due to the intermittent nature of the business.
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spelling Bodra, Roberto AndreottiEscolas::EESPMatsumoto, Élia YathieSilva, Luiz Henrique Moraes daCosta, Oswaldo Luiz do Vallevirtual::443Giovannetti, Bruno CaraPinto, Afonso de Campos2022-12-20T14:15:25Z2022-12-20T14:15:25Z2022-12-08https://hdl.handle.net/10438/32997This thesis consists of three studies related to the volume risk faced by wind power producers in Brazil. Being an intermittent source, it is still difficult to predict when and how much power will be generated from the wind, posing challenges for producers when estimating their businesses revenues. With still limited choices to offset this type of risk, the objective of this work is to propose financial contracts dependent on wind speed that could serve as hedging instruments for renewable power producers. We performed simulations considering the entire country and five different states over three years for one-month ahead cycles. The first study compares four different wind speed forecast models, and the results show that, although the simple moving average and autoregressive models perform better in a broader sense, when analysing different regions in detail, there is no single model that fits all. The second study uses these wind speed forecasts as inputs to a generation function to estimate wind power utilization indices. The results reveal that, using the autoregressive input, we can obtain good estimates when compared to the numbers published by the ONS. The third study proposes wind power derivative contracts with utilization indices as the underlying asset. Through simulations of wind farm generation revenues, our results show that by using these derivatives combined with price derivatives, producers can reduce their potential losses and unexpected income due to the intermittent nature of the business.Esta tese consiste em três estudos relacionados ao risco de volume enfrentado pelos produtores de energia eólica no Brasil. Sendo uma fonte intermitente, ainda é difícil prever quando e quanta energia será gerada a partir do vento, impondo desafios aos produtores na hora de estimar as receitas de seus negócios. Com alternativas ainda limitadas para compensar esse tipo de risco, o objetivo deste trabalho é propor contratos financeiros dependentes da velocidade do vento que possam servir como instrumentos de hedge para produtores de energia renovável. Nossas simulações foram feitas considerando todo o país e cinco estados diferentes durante um período de três anos para ciclos de um mês à frente. O primeiro estudo compara quatro modelos diferentes de previsão de velocidade do vento, e os resultados mostram que, embora os modelos de média móvel simples e autorregressivo tenham um melhor desempenho em um sentido mais amplo, ao analisar as diferentes regiões em detalhe, não existe um modelo único que se ajuste a todos. O segundo estudo usa essas previsões de velocidade do vento como entradas para uma função de geração para estimar os índices de utilização de energia eólica. Os resultados revelam que, utilizando a entrada autorregressiva, conseguimos obter boas estimativas quando comparadas com os números publicados pelo ONS. O terceiro estudo propõe contratos derivativos de energia eólica com os índices de utilização como ativo-objeto. Através de simulações de receitas de geração de usinas eólicas, nossos resultados mostram que, ao utilizar esses derivativos combinados com derivativos de preço, os produtores podem reduzir suas perdas potenciais e receitas inesperadas devido à natureza intermitente do negócio.engWind powerRenewable energyWeather derivativeVolume riskEnergia eólicaEnergia renovávelDerivativo climáticoRisco de volumeEconomiaEnergia eólicaForça eólica - Fatores climáticosEnergia - Fontes alternativasDerivativos (Finanças)Administração de riscoWind power derivatives: definitions and applications in the Brazilian marketinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis-1info:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas 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dc.title.eng.fl_str_mv Wind power derivatives: definitions and applications in the Brazilian market
title Wind power derivatives: definitions and applications in the Brazilian market
spellingShingle Wind power derivatives: definitions and applications in the Brazilian market
Bodra, Roberto Andreotti
Wind power
Renewable energy
Weather derivative
Volume risk
Energia eólica
Energia renovável
Derivativo climático
Risco de volume
Economia
Energia eólica
Força eólica - Fatores climáticos
Energia - Fontes alternativas
Derivativos (Finanças)
Administração de risco
title_short Wind power derivatives: definitions and applications in the Brazilian market
title_full Wind power derivatives: definitions and applications in the Brazilian market
title_fullStr Wind power derivatives: definitions and applications in the Brazilian market
title_full_unstemmed Wind power derivatives: definitions and applications in the Brazilian market
title_sort Wind power derivatives: definitions and applications in the Brazilian market
author Bodra, Roberto Andreotti
author_facet Bodra, Roberto Andreotti
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EESP
dc.contributor.member.none.fl_str_mv Matsumoto, Élia Yathie
Silva, Luiz Henrique Moraes da
Costa, Oswaldo Luiz do Valle
dc.contributor.author.fl_str_mv Bodra, Roberto Andreotti
dc.contributor.advisor1ID.fl_str_mv virtual::443
dc.contributor.advisor1.fl_str_mv Giovannetti, Bruno Cara
Pinto, Afonso de Campos
contributor_str_mv Giovannetti, Bruno Cara
Pinto, Afonso de Campos
dc.subject.eng.fl_str_mv Wind power
Renewable energy
Weather derivative
Volume risk
topic Wind power
Renewable energy
Weather derivative
Volume risk
Energia eólica
Energia renovável
Derivativo climático
Risco de volume
Economia
Energia eólica
Força eólica - Fatores climáticos
Energia - Fontes alternativas
Derivativos (Finanças)
Administração de risco
dc.subject.por.fl_str_mv Energia eólica
Energia renovável
Derivativo climático
Risco de volume
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Energia eólica
Força eólica - Fatores climáticos
Energia - Fontes alternativas
Derivativos (Finanças)
Administração de risco
description This thesis consists of three studies related to the volume risk faced by wind power producers in Brazil. Being an intermittent source, it is still difficult to predict when and how much power will be generated from the wind, posing challenges for producers when estimating their businesses revenues. With still limited choices to offset this type of risk, the objective of this work is to propose financial contracts dependent on wind speed that could serve as hedging instruments for renewable power producers. We performed simulations considering the entire country and five different states over three years for one-month ahead cycles. The first study compares four different wind speed forecast models, and the results show that, although the simple moving average and autoregressive models perform better in a broader sense, when analysing different regions in detail, there is no single model that fits all. The second study uses these wind speed forecasts as inputs to a generation function to estimate wind power utilization indices. The results reveal that, using the autoregressive input, we can obtain good estimates when compared to the numbers published by the ONS. The third study proposes wind power derivative contracts with utilization indices as the underlying asset. Through simulations of wind farm generation revenues, our results show that by using these derivatives combined with price derivatives, producers can reduce their potential losses and unexpected income due to the intermittent nature of the business.
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-12-20T14:15:25Z
dc.date.available.fl_str_mv 2022-12-20T14:15:25Z
dc.date.issued.fl_str_mv 2022-12-08
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10438/32997
url https://hdl.handle.net/10438/32997
dc.language.iso.fl_str_mv eng
language eng
dc.relation.confidence.fl_str_mv -1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional do FGV (FGV Repositório Digital)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Repositório Institucional do FGV (FGV Repositório Digital)
collection Repositório Institucional do FGV (FGV Repositório Digital)
bitstream.url.fl_str_mv https://repositorio.fgv.br/bitstreams/ef6dcb9e-71d3-40fa-8bfa-19575f0ccfe8/download
https://repositorio.fgv.br/bitstreams/fd483acc-a6d7-4a7b-898d-9e8d7b072039/download
https://repositorio.fgv.br/bitstreams/8c8665d9-219a-4270-a303-4437ffa27185/download
https://repositorio.fgv.br/bitstreams/3c944355-fde8-471f-aa91-e8e3dea89662/download
bitstream.checksum.fl_str_mv e97a39996633e2aaa6a07a1b1fe38b76
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bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv
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