I have a scatter plot from a fairly large dataset of a solar array output.
Generated from measured V & I and allowing output power and impedance to be calculated and scatter plotted against each other
This data covers a vast array of different insolation and panel temperature conditions.
As you can see there is a clearly identifable correlatory curve between panel output power and output impedance. We haven't got a measure of insolator or temperature for this dataset, but those trends are intrinsically embedded in the data of course.
Now my question, if i repeat this plot in say 10 years time, what might i expect to see? Is it possible to crunch this data into some sort of panel State Of Health value? Anyone done anything similar?
For me it's interesting because it should be independant from panel cleanlyness as i think a dirty panel that therefore generates less energy over time (total integrated energy) is not the same as one that has a higher impedance, ie has aged? So if you just look at total integrated energy to determine SoH then you need to include changes in panel cleanliness and shading and insolation etc?