Wind power derivatives: definitions and applications in the Brazilian market
| Ano de defesa: | 2022 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | , |
| Banca de defesa: | |
| 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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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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12:38:48.223open.accessoai:repositorio.fgv.br:10438/32997https://repositorio.fgv.brRepositório InstitucionalPRIhttp://bibliotecadigital.fgv.br/dspace-oai/requestopendoar:39742024-12-09T12:38:48Repositório Institucional do FGV (FGV Repositório Digital) - 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 dfb340242cced38a6cca06c627998fa1 b1d7a75a5d9551a62d7252e6a151d8ae b0e7585597b01b4ce3f928fb5454013a |
| 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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1827842406451511296 |