UPDATE - 2024-05-28: An issue was found with the obeservation data from plant 20/21. This data and the plant specs were updated. This resulted in the haydavies model looking better than isotropic, so many of the examples for this plant and the others were updated. This results in the notebooks will now be slightly different from what was presented at PVPMC. The presentation files have not been updated.
This repository contains code, data, and supporting files for the 2024 PV Performance Modeling Collaborative (PVPMC) presentation "An approach to modeling linear and non-linear self-shading losses with pvlib" by William B. Hobbs (Southern Company), Kevin S. Anderson (Sandia), Mark A. Mikofski (DNV), and Madison Ghiz (DNV).
You can check out the presentation PDF or PPTX files in the presentation folder.
The python functions created for this project are in self_shade.py.
To walk through examples, see these notebooks:
This repository uses pvlib [1]. Check it out at https://pvlib-python.readthedocs.io/en/stable/ or https://github.com/pvlib/pvlib-python.
[1] Anderson, K., Hansen, C., Holmgren, W., Jensen, A., Mikofski, M., and Driesse, A. “pvlib python: 2023 project update.” Journal of Open Source Software, 8(92), 5994, (2023). https://doi.org/10.21105/joss.05994