Researchers can use physics and modelling to predict how solar panel circuits will behave
Even simple electronic circuits sometimes need complex formulas to predict their behaviour. These researchers explored 2 ways of investigating circuits and gave the benefits of each approach.
There are multiple ways to predict values, like power, in electronic circuits. One approach is to use formulas from physics, and another is to create a model that uses circuit measurements.
These researchers wanted to present both approaches, determine the advantages of each, and determine if it was better to use them together rather than individually.
First, the researchers demonstrated the physics formulas for a solar panel. Next, they took measurements on an actual solar panel and used these to make a model. Lastly, they compared the model’s predictions to the real values in the circuit.
The model produced accurate predictions, and researchers said that using both the formulas from physics and the model can be beneficial. They said the physics formulas give us an understanding of how circuits work but are often complicated, whereas the model can often be more mathematically simple.
The researchers suggested calling this method Physicsmetrics.
They said they would try different models, repeat the experiment on solar panels that are not in full light, and use their method to design better solar panels.
These authors were from Algeria and France.
The aim of this work is to present two different approaches for modeling a photovoltaic panel (PV) fully illuminated. Generally, the physic’s model (White box) takes into account the physic, electronic and energetic behavior of different compound of the system’s model, as function of the solar irradiance and operating temperature. The statistician model (Black box) using the Design of Experiment method considers a physical system as a black box with various inputs (factors) and outputs (responses). Each approach has specific advantages, they are complementary.
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