EFEITOS DA TEMPERATURA AMBIENTE E DA VELOCIDADE DO VENTO NO DESEMPENHO DE MÓDULOS SOLARES FOTOVOLTAICOS

Amaury de Souza, Ana Paula Garcia Oliveira, Flavio Aristone, Vanise dos Santos Rodrigues, Gabriel Ozório Linhares Mello

Resumo


EFFECTS OF ENVIRONMENTAL TEMPERATURE AND WIND SPEED IN THE PERFORMANCE OF PHOTOVOLTAIC SOLAR MODULES

EFECTOS DE LA TEMPERATURA AMBIENTAL Y LA VELOCIDAD DEL VIENTO EN EL DESEMPEÑO DE LOS MÓDULOS SOLARES FOTOVOLTAICOS

RESUMO
Os efeitos da temperatura ambiente e da velocidade dos ventos na análise de desempenho de um módulo fotovoltaico solar de silício monocristalino foram analisados em Campo Grande, MS, para o período janeiro a dezembro de 2017. O trabalho de pesquisa foi realizado monitorando a variação da eficiência do módulo em função desses parâmetros. Uma análise estatística é apresentada e o resultado indica que os valores do coeficiente de correlação são 96% e 68% para a temperatura ambiente e para velocidade dos ventos, respectivamente, considerando o nível de confiança de 95%. Os resultados mostram que existe uma forte relação linear positiva entre a eficiência do módulo e a temperatura ambiente, e uma relação linear positiva moderada com a velocidade dos ventos.

Palavras-chave: Módulo Fotovoltaico; Predição de Eficiência; Condições Climáticas.

ABSTRACT
The effects of ambient temperature and wind velocity on the performance analysis of a monocrystalline silicon solar photovoltaic module were analyzed in Campo Grande, MS, from January to December 2017. The research work was carried out by monitoring the efficiency variation of the module according to these parameters. A statistical analysis is presented and the result indicates that the values of the correlation coefficient are 96% and 68% for the ambient temperature and for wind speed, respectively, considering the 95% confidence level. The results show that there is a strong positive linear relationship between the modulus efficiency and the ambient temperature, and a moderate positive linear relation with the velocity of the winds.

Keywords: Photovoltaic Module; Prediction of Efficiency; Climate Conditions.

RESUMEN
Los efectos de la temperatura ambiente y de la velocidad de los vientos en el análisis de desempeño de un módulo fotovoltaico solar de silicio monocristalino fueron analizados en Campo Grande, MS, para el período enero a diciembre de 2017. El trabajo de investigación fue realizado monitoreando la variación de la eficiencia del módulo en función de estos parámetros. Se presenta un análisis estadístico y el resultado indica que los valores del coeficiente de correlación son 96% y 68% para la temperatura ambiente y para la velocidad de los vientos, respectivamente, considerando el nivel de confianza del 95%. Los resultados muestran que existe una fuerte relación lineal positiva entre la eficiencia del módulo y la temperatura ambiente, y una relación lineal positiva moderada con la velocidad de los vientos.

Palabras clave: Módulo Fotovoltaico; Predicción de Eficiencia; Condiciones Climáticas.


Palavras-chave


Módulo Fotovoltaico; Predição de Eficiência; Condições Climáticas.

Texto completo:

PDF


DOI: http://dx.doi.org/10.18764/2446-6549.v4n15p362-375

Apontamentos

  • Não há apontamentos.


Direitos autorais 2018 InterEspaço: Revista de Geografia e Interdisciplinaridade

Licença Creative Commons
Este obra está licenciado com uma Licença Creative Commons Atribuição-NãoComercial-SemDerivações 4.0 Internacional.

InterEspaço: Revista de Geografia e Interdisciplinaridade

ISSN 2446-6549

data:image/png;base64,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


INDEXADORES E BASES BIBLIOGRÁFICAS:

DOAJ | Periódicos CAPES | CLASE | BIBLATREDIB | LATINDEX | DIADORIM | SUMÁRIOS.ORG | RCAAP | CROSSREF | Google Scholar | LivRe!| LatinREV | Actualidade IberoamericanaResearchBib | OAJI.net | Scilit | DRJI | PBN | Scientific Indexing Services | PKP INDEX | OpenAIRE | Open Science Diretory - EBSCO | AGORA-FAO |Biblioteke Virtual | JIFACTOR | MIAR | JOURNAL FACTOR |