Journal
IEEE JOURNAL OF PHOTOVOLTAICS
Volume 12, Issue 1, Pages 179-190Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPHOTOV.2021.3113156
Keywords
Model selection; photovoltaic (PV) cell correlations; PV cell temperature; PV modules thermal models; performance prediction
Funding
- CAPES
- CNPq
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This article provides a review of steady-state models for calculating the operating temperature of photovoltaic (PV) cells developed since 2000. It aims to assist researchers and professionals in selecting significant parameters and suitable experimental arrangements to create accurate models. The article summarizes 33 correlations found in the literature and presents three general forms of these correlations. The main parameters affecting the operating temperature are discussed, along with their most accurate data collection methods. The strategies for obtaining the operating temperature, such as using the module back side temperature or internal sensors, for model validation purposes are also discussed.
A review of photovoltaic (PV) cell operating temperature (T-c) 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 T-c is given and an overview of the models for calculating T-c is presented. We present a summary of 33 correlations found in the literature for estimating T-c and the synthesis of those correlations in three general forms. Additionally, we highlight the main parameters in the analyzed correlations along with their mast accurate data collection methods. The parameters with the greatest influence on T-c, 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 T-c-using the module back side temperature or an internal sensor for direct measurement-for model validation purposes are also discussed.
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