Rajiv Daxini - About Me

Welcome to my blog!

I am a recent PhD grad currenty working on a Google Summer of Code Project to implement some new functions in pvlib python. On this blog, I’ll share updates on the project and reflect on my experience with open-source software development.

Recent posts

See the blog archives for all blog posts.

• 2024-08-07 - pvlib at PVPMC: user meeting, tutorials, and new contributor workshop

  At this year’s Europe PVPMC Workshop in Copenhagen 21-22 August 2024, the pvlib user group meeting will take place with a slightly different format. This post summarises the event and invites you to get involved.

• 2024-08-07 - Restructuring and renaming: pvlib/spectrum

  This post discusses and summarises some recent work to restructure the pvlib/spectrum package and associated tests.

• 2024-07-09 - How to account for the spectral effect on PV devices using pvlib-python?

  This post introduces a new addition to the pvlib-python example gallery that demonstrates the application of pvlib-python to model the shift in PV performance as a result of spectral variation. An update on the GSoC project so far is also presented.

• 2024-06-24 - pvlib v0.11.0 release and GSoC update

  A new version of pvlib-python was released on 23 June 2024, featuring multiple updates including:

• 2024-06-12 - pvlib: toolbox vs application

  I wanted to write a short post sharing an interesting discussion that arose in the last pvlib GSoC meeting. What started as a conversation about input data screening in a new spectral correction function turned into a discussion on the role of pvlib for the user. It helped me understand the meaning of “toolbox” in the official introduction to pvlib:

• 2024-05-27 - Spectral corrections in pvlib python: A GSoC project

  This first blog post introduces the motivation and plan for my Google Summer of Code (GSoC) (GSoC) project, which is entitled “Enhancing solar energy modelling: implementing new spectral corrections in pvlib python.” The overall aim of the project is to implement new spectral correction models in pvlib, as well as examples of their application and use. The official project abstract can be found here and is reinstated below.