Launch of PowerNetZero – We’d love your feedback

Dear everyone,

Today, Open Energy Transition has launched PowerNetZero — a prototype platform for open-source, data-driven insights into net-zero power systems, built on the PyPSA ecosystem. We’re sharing it now to gather feedback, improve quickly, and build momentum. We’re also seeking funders and investors to help expand country coverage, address current limitations (listed here), and enhance usability.

The app is at version 1.0 and currently covers 9 countries across all continents. It helps answer key questions like:

  • What infrastructure needs to be built?
  • How much will clean electricity cost in 2050?
  • Where does $1 go furthest in cutting emissions?
  • How do current and future energy systems compare?

If you know donors, funders, or mission-aligned organizations passionate about open tools for climate action, please connect us. In the meantime, check it out at https://powernetzero.org.

We also have a LinkedIn post you’re welcome to share for visibility. (If you’re not on LinkedIn, the content above reflects the post.)

Kind regards,
Charlotte

1 Like

Hi @CharHeik,

thank you very much. Are the underlying models for each of the countries with all their input data, assumptions etc. documented somewhere? I could not find any repository in the OET or pypsa github space.

Thank you!

Hi @fwitte,

Thanks for asking. You can find the repo here. Please note that this launch is a v1 and a demo of the infrastructure for visualizations, currently showing hypothetical data only. I would encourage you to browse the limitations of the project too.

Feedback and collaborations are very welcome!

Best,
Charlotte

Hi and thank you for the response.

Thanks for asking. You can find the repo here. Please note that this launch is a v1 and a demo of the infrastructure for visualizations, currently showing hypothetical data only.

Okay got it. I thought that the e.g. 600 GW PV installations in Germany were results of a specific model run and I was searching for the underlying assumptions, i.e. the concrete pypsa-eur (or pypsa-earth) workflow instances that were used to generated those results.

Thank you again, have a nice day!

Best

Francesco