The pvlib community is looking forward to another pvlib training session at the 2023 PV Performance Modeling Workshop. The format this year will be somewhat different from previous years—less like a two-hour lecture and more like “choose your own adventure”. During the session, you will choose a topic to explore using pvlib, and experts will be available to help you get started and provide guidance.
If you’re just getting started with pvlib, fret not, we have a list of suggested topics below you can work on. If anything is unclear, feel free to comment on the individual project ideas. More information on each project can be found by following the links below.
You do not need to have prior programming experience or Python installed (we'll be using the Google Colab online programming environment). To get you started, there will be a very brief introduction to python and pvlib (~10 min), after which you will be ready to tackle your project.
The training session will take place on May 10 from 4 to 6 pm.
Click here to launch the Colab notebook: launch
Easy
Medium
- How much difference is there between irradiance transposition models?
- How can PVWatts be emulated using pvlib?
- How does the annual irradiance differ year-to-year in SLC?
- What is the ideal tilt for a PV system?
Hard
- How much gain do you get by using bifacial modules?
- Add Orgill and Hollands decomposition model to pvlib
- What is the impact of soiling on PV performance?
This work is licensed under a Creative Commons Attribution 4.0 International License.
