Título: | INNOVATIVE DECISION MODELS FOR ENERGY COMMERCIALIZATION | ||||||||||||
Autor: |
JONAS CALDARA PELAJO |
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Colaborador(es): |
LEONARDO LIMA GOMES - Orientador |
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Catalogação: | 13/AGO/2024 | Língua(s): | ENGLISH - UNITED STATES |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=67542&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=67542&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.67542 | ||||||||||||
Resumo: | |||||||||||||
In the last decade, the Brazilian electricity sector has faced regulatory and
operational challenges due to the need to adapt to changes in the energy matrix,
which shows a growing share of intermittent renewable energies, such as solar
photovoltaic and wind energy. Additionally, social and environmental restrictions
on the construction of new hydroelectric reservoirs require the development of new
models for hydrological risk management. This thesis comprises four studies and
aims to develop decision support models that contribute to the management of the
national interconnected system and the optimization of relevant processes in the
sector, considering the current scenario. The first study, by defining a methodology
for accessing the parameters of the ECP_G functional, contributes to the innovation
and improvement of theoretical models, with practical results for the sector. The
second study contributes to the process of seasonalizing the physical guarantee and
reveals an optimal strategy that simultaneously maximizes the results of generating
agents, preventing reductions in payoffs resulting from individual movements of
competitors. The third study proposes a commercialization portfolio optimization
model, which allows agents to adequately expose themselves to risk, contributing
to more efficient commercial management. Finally, the fourth study presents an
operational model for an energy futures clearing house, offering valuable insights
for stakeholders interested in establishing such a project in Brazil, where no energy
futures clearing house currently exists.
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