RdTools is an open-source library to support reproducible technical analysis of time series data from photovoltaic energy systems. The library aims to provide best practice analysis routines along with the building blocks for users to tailor their own analyses. Current applications include the evaluation of PV production over several years to obtain rates of performance degradation and soiling loss. RdTools can handle both high frequency (hourly or better) or low frequency (daily, weekly, etc.) datasets. Best results are obtained with higher frequency data.
RdTools can be installed automatically into Python from PyPI using the command line:
pip install rdtools
For API documentation and full examples, please see the documentation.
RdTools currently is tested on Python 3.7+.
To cite RdTools, please use the following along with the version number and the specific DOI coresponding to that version from Zenodo:
The underlying workflow of RdTools has been published in several places. If you use RdTools in a published work, you may also wish to cite the following as appropriate:
Dirk Jordan, Chris Deline, Sarah Kurtz, Gregory Kimball, Michael Anderson, "Robust PV Degradation Methodology and Application", IEEE Journal of Photovoltaics, 8(2) pp. 525-531, 2018, DOI: 10.1109/JPHOTOV.2017.2779779
Michael G. Deceglie, Leonardo Micheli and Matthew Muller, "Quantifying Soiling Loss Directly From PV Yield," in IEEE Journal of Photovoltaics, 8(2), pp. 547-551, 2018, DOI: 10.1109/JPHOTOV.2017.2784682
Kevin Anderson and Ryan Blumenthal, "Overcoming Communications Outages in Inverter Downtime Analysis", 2020 IEEE 47th Photovoltaic Specialists Conference (PVSC)" DOI: 10.1109/PVSC45281.2020.9300635
Kirsten Perry, Matthew Muller and Kevin Anderson, "Performance Comparison of Clipping Detection Techniques in AC Power Time Series," 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), pp. 1638-1643 2021, DOI: 10.1109/PVSC43889.2021.9518733.
The clear sky temperature calculation,
clearsky_temperature.get_clearsky_tamb(), uses data
from images created by Jesse Allen, NASA’s Earth Observatory using data courtesy of the MODIS Land Group.
Other useful references which may also be consulted for degradation rate methodology include:
Check out the wiki for additional usage documentation, and for information on development goals and framework.