Detalhes bibliográficos
| Ano de defesa: |
2023 |
| Autor(a) principal: |
SANTOS, Maxwell Ferraz dos
 |
| Orientador(a): |
FIGUEROA, Jaiver Efren Jaimes
|
| Banca de defesa: |
FIGUEROA, Jaiver Efren Jaimes
,
COELHO, Paulo Henrique da Silva Leite
,
ARAÚJO, Iván Darío Gómez
|
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal do Maranhão
|
| Programa de Pós-Graduação: |
PROGRAMA DE PÓS-GRADUAÇÃO EM ENERGIA E AMBIENTE/CCET
|
| Departamento: |
DEPARTAMENTO DE ENGENHARIA QUÍMICA
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
https://tedebc.ufma.br/jspui/handle/tede/5098
|
Resumo: |
Understanding the variables of a region allows for the performance of analyses through their utilization, as seen, for example, in the solar energy sector. This paper aims to present a study on the probability distributions of solar irradiation and temperature, based on the historical series of the city of São Luís - MA. The objective is to gather sufficient information for applications involving these variables. The adopted methodology involved data collection from the period 2018 to 2022 on the website of the National Institute of Meteorology (INMET) and the processing of this data in spreadsheets. This was followed by a procedure to determine the theoretical probability distribution model that fits the collected data – a theoretical distribution that adequately represents the observed variables: solar irradiation and temperature. After defining the probabilistic model for each variable, application cases related to photovoltaic energy were considered. One case involved production loss due to temperature, while the other was an analysis of photovoltaic power. The latter was resolved using the reliability methods FORM and Monte Carlo Simulation. The process of fitting theoretical models led to the conclusion that solar irradiation and temperature for the city of São Luís - MA can be satisfactorily represented by the normal and uniform distributions, respectively. In the analyses of the studied cases, a satisfactory result was obtained for the application of production loss due to temperature, while the analysis of photovoltaic power was unsatisfactory. This indicates that the temperature and solar irradiation characteristics of São Luís had a significant influence on the analysis. Furthermore, the importance of using computational procedures for performing these tasks involving random variables was demonstrated, considering the amount of data to be handled and the number of simulations necessary for reliability analysis |
