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Function to fit Faiman temperature model to measurements #1877
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This feature is currently blocked. See #1898. |
In my opinion, @williamhobbs engagement with the pull request and the reference material demonstrates that the contribution is 1. useful and 2. sufficiently documented. |
I do not think it is wise to rely on an ipython notebook and files stored on the DuraMAT datahub as archival references. I can relent and not stand in the way of #1878 if there is a commitment to produce a document (journal or conference paper, or technical report) of some kind in the near future. |
I uploaded the notebook to Zenodo for archival purposes on October 14, 2023, and updated the references in the doc strings accordingly. |
Does anyone following this thread (or not) have extra time and funding available to work on such a document? |
Is your feature request related to a problem? Please describe.
Many people struggle with fitting the popular temperature models to field data, or in other words, to determine the model parameters from field data.
Describe the solution you'd like
An effective method of fitting has been described and demonstrated in Jupyter Notebook published by Sandia Labs on DuraMAT data hub along with an open data set of field data for demonstrating and testing temperature model fitting methods. It would be great to make this method available through a function in PVLIB so that it can be more easily used.
Additional context
There is fast-growing interest in fitting temperature models because of the unique conditions in floating and agri-PV, therefore this capability is needed sooner rather than later. The method is also simple enough to be a candidate for IEC-61853-2.
References
The Notebook was uploaded to Zenodo for archival purposes on October 14, 2023, and can be cited as:
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