kobuki <nls...@gmail.com> writes:

> Yeah, thanks for the insight. I'm aware of the various atmospheric models. 
> I want to find something that has been a) proven useful for solar power 
> predictions; b) has a working open source python implementation. While the 
> scientific background is very interesting in itself, I don't intend to 
> re-invent the wheel. I do have a fairly good solar and UV sensor for my VP2 
> weather station. An interesting fact, this spring the solar sensor W/m2 
> curve almost completely overlaps with the built-in solar model prediction 
> (theoretical max. irradiation) in WeeWx, and we do have unobstructed clear 
> sky and sunshine these days. So I'm hoping to do something similar with my 
> solar power system.

I wasn't aware there was a solar model in weewx.   I have on my todo
list to compute the irradiance with a clear sky, and to graph measured
irradiance vs theoretical max.

I have seen irradiance values higher than what I believe theoretical max
is.  On a completely clear day, no, but on days with some clouds.  My
assumption -- with no good basis -- is that there is some sort of
lensing as the sun passes the cloud edge and there is a temporary
beyond-max excursion.  This is part of why I want to graph the
fraction-of-max.

> I've found 2 worthy contenders in the subject so far:
>
> https://github.com/pvlib/pvlib-python/
> https://pypi.org/project/solprimer/
>
> I need to indulge myself in them a bit to see which might fit my needs the 
> best. I think the first one might be better suited and it's also actively 
> developed, but I just don't know yet.

Thanks for the links.

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