Estimating Energy Parameters for Photovoltaic Modules Using Mathematical Models

2023 International Conference on Electrical Engineering and Advanced Technology (ICEEAT)(2023)

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Abstract
The aim of this study is to evaluate three different models for predicting the energy output of a photovoltaic (PV) module situated at the Applied Research Unit in Renewable Energy (URAER) within Algeria. The electrical energy generated by the PV module was monitored using a DC regulator designed to maximize electrical power extraction from the module. Simultaneously, various meteorological parameters, including solar irradiation and air temperature, were recorded using a Kipp & ZonenTM CMP21 pyranometer and a Pt-100 temperature sensor, respectively. The PV module under investigation is composed of polycrystalline silicon (poly-Si) and was observed during the period year. The simulation outcomes exhibit a high level of agreement with the empirical measurements. Notably, the coefficient of determination (R 2 ) for these models exceeds 0.8975, indicating strong alignment between the measured data and the linear model employed.
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Key words
PV module,Polycrystalline silicon,Measurement and Simulation,Energy estimation,Model
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