Academic Journal

Photovoltaic Cell Temperature Estimation for a Grid-Connect Photovoltaic Systems in Curitiba

التفاصيل البيبلوغرافية
العنوان: Photovoltaic Cell Temperature Estimation for a Grid-Connect Photovoltaic Systems in Curitiba
المؤلفون: Yang, Renata Lautert, Tiepolo, Gerson Máximo, Tonolo, Édwin Augusto, Urbanetz Junior, Jair, Souza, Muriele Bester de
المصدر: Brazilian Archives of Biology and Technology. January 2019 62
بيانات النشر: Instituto de Tecnologia do Paraná - Tecpar, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Photovoltaic solar energy, grid-connected photovoltaic system, estimation of the photovoltaic cell temperature
الوصف: The photovoltaic solar energy has been growing in installed capacity worldwide year by year, and Brazil has also been investing in this renewable source of energy generation. The conversion of light into electrical energy occurs in the photovoltaic cells, which are sensitive to the increase of the temperature. A considerable amount of the energy incident on the module is transformed into heat, rising its temperature and decreasing its efficiency. This study aims to estimate the temperature in photovoltaic cells (Tc) for polycrystalline silicon modules from a grid-connected photovoltaic systems through several equations proposed over the last decades by researchers. This estimation will occur in the municipality of Curitiba, using data from INMET’s automatic station, located in the same city. The estimation was calculated hourly, throughout the day for one year. The validation of the estimated results was performed by measuring the cell temperature of a photovoltaic system installed in Curitiba, where it was observed that the equation proposed by Duffie and Beckman (2013) was the one that most approached to the measured value.
نوع الوثيقة: article
وصف الملف: text/html
اللغة: English
تدمد: 1516-8913
DOI: 10.1590/1678-4324-smart-2019190016
URL الوصول: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000200215
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edssci.S1516.89132019000200215
قاعدة البيانات: SciELO
الوصف
تدمد:15168913
DOI:10.1590/1678-4324-smart-2019190016