For moderately tilted systems (especially in large arrays) the horizon band contributions is minimal, so conceptually you could use Perez in those cases by ignoring that band.
A programmatic work-around could be to select the model
'isotropic' (which does nothing inside the infinite-shed model)
and pre-process the DNI and DHI inputs using any other
transposition model (e.g. Perez).
Anton
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Hey Roshni!
It's good to hear you want to get involved :)
I suggest you start by checking our GitHub repo, where
development is centralized. https://github.com/pvlib/pvlib-python
Specifically, in the issues
tab you can find bugs or enhancements. My recommendation is
to start with a small contribution (for example a typo), then move
to bigger things.
It's good if have a look at https://pvlib-python.readthedocs.io/en/stable/contributing/index.html
as a reference.
Example issues to start with:
- https://github.com/pvlib/pvlib-python/issues/2230
- https://github.com/pvlib/pvlib-python/issues/2161
- https://github.com/pvlib/pvlib-python/issues/2255
If you feel confident, go straight ahead, but there are some Continuous Integration/Development tools that are nice to have sorted out.
Feel free to reach out.
Best,
Echedey.
To view this discussion visit https://groups.google.com/d/msgid/pvlib-python/909b2886-225d-400b-b851-3692d8dfbd38n%40googlegroups.com.