Hi Spencer,
> How can I convert a single measurement point to an RMAD value to use in the power mismatch function?
You can't. RMAD is akin to variance (or standard distribution). You need a set of values to compute a realistic value.
The main drawback I saw when documenting this model into pvlib was exactly where to source the RMAD from. There is a modelling gap to map system and weather characteristics to an usable RMAD. I propose some suggestions below, in case you can use any of them:
0. Get your hands on more sensors. Reference cells should be
enough and cost-effective.
1. Put your sensor on a linear actuator - and sweep it to take
measurements.
2. The implementation reference also proposes models based on
standard deviation (with different forms and coefficients). I
didn't find, but there may be models out there that relate system
and weather to non-uniformity stdev.
3. I don't know of software you can use to model the
non-uniformity, but here are some options if you want to dig
deeper: pvlib.bifacial.utils.vf_row_sky_2d_integ (I've
never used it, IDK if it could help to calculate rear side VFs to
the sky and correct for the diffuse on each row) and this list https://github.com/protontypes/open-sustainable-technology#photovoltaics-and-solar-energy.
pvlib.bifacial.power_mismatch_deline reference [1] cites the usage
of "bifacialvf" and "bifacial_radiance" (sect. 3.6
Single-axis-tracking reduced-order model).
I hope to have shed some light into that issue.
Best,
Echedey.
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Hi again Spencer,
I've opened an issue at pvlib-python to track the implementation of a model that was described publicly this 20 Aug that models irradiance non-uniformity.
You may want to look at the issue [1] or the paper [2] - they've open sourced the model MATLAB code too.
[1] https://github.com/pvlib/pvlib-python/issues/2852
[2] M. Wild, S. Strebel, D. Anderegg, and J. Rohrer, “A general
view-factor based irradiation distribution model for multi-row
bifacial PV arrays on sloped and reflective ground,” Solar Energy,
vol. 318, p. 115030, Nov. 2026, doi: 10.1016/j.solener.2026.115030.
To view this discussion visit https://groups.google.com/d/msgid/pvlib-python/58215b19-48a7-4bef-8898-d6631df26431n%40googlegroups.com.