This repository contains a series of functions and jupyter notebooks used to explore the various data available for the bifacial test site at NREL. Performance Datasets can be found here: Measurements of the modules can be found here:
For in depth Tutorials you can run online, see our jupyter-book
Clicking on the rocket-icon on the top allows you to launch the journals on Google Colaboratory for interactive mode.
Just uncomment the first line pip install ...
to install the environment on each journal if you follow this mode.
To run these tutorials in Binder, you can click here:
It takes a minute to load the environment.
You can also run the tutorial locally in a virtual environment, i.e., venv
or
miniconda.
-
Create and activate a new environment, e.g., on Mac/Linux terminal with
venv
:python -m venv Best-Field-Degradation-Research . pvdeg/bin/activate
or with
conda
:conda create -n Best-Field-Degradation-Research conda activate Best-Field-Degradation-Research
-
Start a Jupyter session:
jupyter notebook
-
Use the file explorer in Jupyter lab to browse to
tutorials
and start the first Tutorial.
This open source code is copyrighted by the Alliance for Sustainable Energy and licensed with BSD-3-Clause terms, found here.
If you suspect that you may have discovered a bug or if you'd like to change something about Best-Field-Degradation-Research, please make an issue on our GitHub issues page.
If you use Data from the Bifacial Field in a published work, please cite:
S. Ovaitt, “BEST field data,” DuraMAT Datahub, Sep. 30, 2022, doi: 10.21948/1787805
This repository can be cited as:
Ovaitt, Olsen, Deline, et al "Best-Field-Degradation-Research, Version 0.0.1", Zenodo DOI:
Please also cite the DOI corresponding to the specific version used; DOIs are listed at Zenodo.org