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Soiling detection methods #184
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And another http://dx.doi.org/10.1109/JPHOTOV.2023.3243719 |
Since we have the soiling module in pvlib, should this be in pvlib-python? Also, the SRR method's code has a github repository - I wonder if Michael would be interested in getting it in pvanalytics (or pvlib). |
IMHO: methods of predicting soiling ratio for performance modeling purposes belong in pvlib-python and methods of detecting and/or extracting soiling from measured performance belong elsewhere (perhaps here in pvanalytics).
Maybe you are talking about https://github.com/NREL/pv_soiling? That repository is not actively developed, but SRR is also implemented in RdTools: RTD and GH. Since there's already a maintained (and better) version elsewhere, I don't see much value in having a duplicate implementation of it here. And I very much doubt Mike et al. would be interested in transferring the "official" version from RdTools to pvanalytics. |
Yes, I agree - but then, what method should we use/explore to detect soiling from the performance data? I am referring to Table 6. of https://doi.org/10.1016/j.isci.2021.102165.
Okay, that makes sense. |
Here's an interesting approach: https://doi.org/10.1016/j.isci.2021.102165
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