Description
pvlib includes several models for estimating the spectral mismatch including different technologies, that are basically designed for conventional PV. They depend on the parameters that mostly affects to the incoming solar spectrum (airs mass as the major influencer, and precipitable water and AOD in some more recent models. The case of BIPV in building facades is particularly interesting since the major influence on the spectrum, in addition to precipitable water and AOD, relies in the air mass and angle of incidence interrelations. This influence is not contemplated in the usual models and thus the application to BIPV is limited.
We have developed recently a new model that includes the dependence on the air mass, angle of incidence, AOD and precipitable water. The model was developed convering all possible facade orientarions (surface azimuth), by computing thousands of solar spectra with SMARTS 2.9. It considers also four technologies, m Si, a Si, CdTe and CIGS. The details are in this recent publication (DOI: 10.1016/j.renene.2025.122820)
https://www.sciencedirect.com/science/article/pii/S0960148125004823?via%3Dihub
The model is very straightforwad and it includes the potential effect of broadband albedo, through a correction to the main model that was developed for a standard albedo of 0.2.
If this proposal is of interest I could implement the corresponding function in python in a similar way of the spectral models already implemented.
Thanks in advance for the comments and suggestions
J Polo