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Índices de mérito e valoração de recursos energéticos distribuídos
| Name: | Description: | Size: | Format: | |
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| 5.08 MB | Adobe PDF |
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Abstract(s)
O prossumidor é um termo que descreve um agente que, além de consumir, também produz recursos ou serviços, como no caso da geração de energia, onde consumidores geram e consomem eletricidade, e este por si, tem assumido um papel crescente no setor elétrico brasileiro. Esta Tese de Mestrado tem como objetivo desenvolver um software que analise e proponha incentivos tarifários baseados em perfis de geração e consumo energético, buscando otimizar o uso da rede elétrica e reduzir perdas na transmissão através da previsibilidade ocasionada no sistema. Para isso, são
definidos e calculados cinco índices principais, incluindo o Fator de Autossuficiência Energética (FAE), Índice de Autoconsumo, Índice de Excedentes Injetados, Benefício Horário, Índice de Eficiência de Armazenamento de Energia (IEAE), com o acréscimo de um quadro que apresenta um Fator de Emissões Evitadas para acompanhamento.
A metodologia inclui a coleta e análise de dados reais, aplicação de algoritmos em Python, e apresentação dos resultados em dashboards desenvolvidos no Power BI. A aplicação prática dos índices a dois agentes com perfis de demanda semelhantes demonstrou que a presença de um sistema de armazenamento energético resultou
em um aumento de 33% no benefício financeiro total referente à Tarifa de Uso do Sistema de Distribuição (TUSD). A ferramenta proposta proporciona aos agentes uma visão abrangente de seu desempenho energético, permitindo a personalização dos indicadores conforme as especificidades de cada distribuidora e contribuindo para a identificação de oportunidades de melhoria e para uma atuação mais estratégica no mercado elétrico.
The prosumer is a term that describes an agent who, in addition to consuming, also produces resources or services, such as in the case of energy generation, where consumers generate and consume electricity. This role has increasingly gained importance in the Brazilian electric sector. This Master’s Thesis aims to develop software that analyzes and proposes tariff incentives based on energy generation and consumption profiles, seeking to optimize the use of the electrical grid and reduce transmission losses through the predictability introduced into the system. To achieve this, five main indices are defined and calculated, including the Energy Self- Sufficiency Factor (FAE), Self-Consumption Index, Injected Surplus Index, Hourly Benefit, and Energy Storage Efficiency Index (IEAE), along with an additional chart presenting an Avoided Emissions Factor for monitoring purposes. The methodology includes the collection and analysis of real data, application of Python algorithms, and presentation of results in dashboards developed in Power BI. The application of these indices to two agents with similar demand profiles demonstrated that the presence of an energy storage system led to a 33% increase in the total financial benefit associated with the Distribution System Usage Tariff (TUSD). The proposed tool provides agents with a comprehensive view of their energy performance, enabling the customization of indicators according to the particularities of each utility and contributing to the identification of improvement opportunities and to a more strategic positioning in the electricity market.
The prosumer is a term that describes an agent who, in addition to consuming, also produces resources or services, such as in the case of energy generation, where consumers generate and consume electricity. This role has increasingly gained importance in the Brazilian electric sector. This Master’s Thesis aims to develop software that analyzes and proposes tariff incentives based on energy generation and consumption profiles, seeking to optimize the use of the electrical grid and reduce transmission losses through the predictability introduced into the system. To achieve this, five main indices are defined and calculated, including the Energy Self- Sufficiency Factor (FAE), Self-Consumption Index, Injected Surplus Index, Hourly Benefit, and Energy Storage Efficiency Index (IEAE), along with an additional chart presenting an Avoided Emissions Factor for monitoring purposes. The methodology includes the collection and analysis of real data, application of Python algorithms, and presentation of results in dashboards developed in Power BI. The application of these indices to two agents with similar demand profiles demonstrated that the presence of an energy storage system led to a 33% increase in the total financial benefit associated with the Distribution System Usage Tariff (TUSD). The proposed tool provides agents with a comprehensive view of their energy performance, enabling the customization of indicators according to the particularities of each utility and contributing to the identification of improvement opportunities and to a more strategic positioning in the electricity market.
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Keywords
DER Prosumer Modeling Eletric System RED Prossumidor Modelagem Rede
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Without CC licence