研究目的
Developing a new simplified model to optimize the photovoltaic solar cells using data provided by the constructor as a basis.
研究成果
The proposed analytical model proves efficient in optimizing photovoltaic solar cells, as evidenced by the comparison between manufacturer’s data and simulation results. The model's accuracy is validated by the low relative errors on peak-power voltage and peak power for both types of solar modules tested.
研究不足
The study is limited to two types of photovoltaic panels and relies on data provided by the manufacturers. The model's accuracy is dependent on the correctness of the input parameters.
1:Experimental Design and Method Selection:
The study uses a one diode photovoltaic module with five parameters (Iph, Rs, Rsh, I0, and n) for modeling. The method involves solving a second degree equation representing the derivative of the power function to determine maximum current and voltage, and deduce the maximum power.
2:Sample Selection and Data Sources:
Two types of photovoltaic panels, multi-crystalline silicon (Shell S75) and mono-crystalline silicon (Shell SP70), are used for testing. Data provided by the manufacturers under various environmental conditions are compared with simulated results.
3:List of Experimental Equipment and Materials:
Photovoltaic panels Shell S75 and Shell SP
4:Experimental Procedures and Operational Workflow:
The method involves determining the PV generator parameters (Iph, Io, Rs, n) under reference conditions and solving the derived equations to find the maximum power point.
5:Data Analysis Methods:
The accuracy of the model is analyzed through comparison between manufacturer’s data and simulation results, calculating relative errors on peak-power voltage and peak power.
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