Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/68754
Tipo: Artigo de Periódico
Título: Photovoltaic cell operating temperature models: a review of correlations and parameters
Autor(es): Santos, Leticia de Oliveira
Carvalho, Paulo Cesar Marques de
Carvalho Filho, Clodoaldo de Oliveira
Palavras-chave: Model selection;Photovoltaic (PV) cell correlations;PV cell temperature;PV modules thermal models;Performance prediction;Células solares
Data do documento: 2022
Instituição/Editor/Publicador: IEEE Journal of Photovoltaics
Citação: CARVALHO FILHO, C. O.; CARVALHO, P. C. M.; SANTOS, L. O. Photovoltaic cell operating temperature models: a review of correlations and parameters. IEEE Journal of Photovoltaics, [Canadá], vol. 12, n. 1, p. 179-190, 2022. DOI: 10.1109/JPHOTOV.2021.3113156
Abstract: A review of photovoltaic (PV) cell operating temperature ( Tc ) steady-state models developed from the year 2000 onward is shown in the present article. The goal is to help researchers and professionals in the field to choose the most significant parameters and suitable experimental arrangements to compose an accurate steady-state model. Initially, a brief description of Tc is given and an overview of the models for calculating Tc is presented. We present a summary of 33 correlations found in the literature for estimating Tc and the synthesis of those correlations in three general forms. Additionally, we highlight the main parameters in the analyzed correlations along with their most accurate data collection methods. The parameters with the greatest influence on Tc , appearing in a significant number of formulations, are discussed: solar absorbance, electrical efficiency, and transmittance of the PV cell/module glass cover; irradiance; ambient temperature; wind speed. Strategies of obtaining Tc —using the module back side temperature or an internal sensor for direct measurement—for model validation purposes are also discussed.
URI: http://www.repositorio.ufc.br/handle/riufc/68754
ISSN: 2156-3403
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