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NREL Bifacial Experimental Single-Axis Tracknig (BEST) Field Degradation Research

Introduction

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:

Tutorials

Jupyter Book

For in depth Tutorials you can run online, see our jupyter-book Jupyter Book Badge

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.

Binder

To run these tutorials in Binder, you can click here: Binder It takes a minute to load the environment.

Locally

You can also run the tutorial locally in a virtual environment, i.e., venv or miniconda.

  1. 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
    
  2. Start a Jupyter session:

    jupyter notebook
    
  3. Use the file explorer in Jupyter lab to browse to tutorials and start the first Tutorial.

License

This open source code is copyrighted by the Alliance for Sustainable Energy and licensed with BSD-3-Clause terms, found here.

Getting Support

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.

Citing

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

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Examples of loading and using data from performance and imagining from the bifacial field at NREL

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