Welcome to the workshop!

Welcome to the workshop!#

24-25 November 2025, Gothenburg, Sweden

This repository contains PyPSA(-Eur) materials for a workshop organized for a broad audience of researchers and industry stakeholders interested in energy system modelling.

The workshop is hosted by RISE (Research Institutes of Sweden) (Markus Millinger). The workshop is co-organised by the ENSYS research group at TU Berlin — Fabian Neumann and Iegor Riepin — with support from the RESILIENT project.

The TU Berlin team gratefully acknowledges funding by the German Federal Ministry for Economic Affairs and Energy (BMWE) under Grant No. 03EI4083A (RESILIENT project) jointly with the CETPartnership (https://cetpartnership.eu/) through the Joint Call 2022, which supports our modelling workshops and public training events. RISE gratefully acknowledges funding from the Swedish Energy Agency, project number 2023-00888, jointly with the CETPartnership under the 2022 joint call for research proposals, co-funded by the European Commission (grant agreement number 101069750).

More about our work in RESILIENT project: https://resilient-project.github.io/

Google Colab#

You can work with the workshop materials without a local Python installation using online service Google Colab which provides an online Python environment. This requires only a Google account.

Open any jupyter notebook and click on the rocket 🚀 in the top right corner. It will launch a Colab workspace in your browser with the jupyter notebook loaded.

If that does not work download the .ipynb file and import it in Google Colab

A special note for Windows users#

For Windows users, note that many company laptops have restrictions for installing new software. In previous workshops, we have found that installations on Windows are more prone to errors so we strongly recommend using Windows Subsystem for Linux (WSL). Windows Subsystem for Linux or an Ubuntu Virtual Machine are two nice options for using Linux on a Windows machine.

Setting up your Python environment locally#

Python coupled with a package manager provides a way to make isolated, reproducible environments where you have control over all installed packages and configurations. We recommend using conda to manage your Python environments.

Install Miniconda#

Install the lightweight miniconda distribution. You likely don’t need the full Anaconda Python Distribution. Here is a great short article that contains all the essential concepts and tips about using conda.

Clone the repository#

Clone this repository to get the workshop materials:

git clone https://github.com/resilient-project/pypsa-workshop-202511.git
cd pypsa-workshop-202511

Create and activate the environment#

We recommend using the locked environment files from PyPSA-Eur for reproducibility. Download the appropriate file for your platform:

  • Linux (Intel/AMD): default_linux-64.pin.txt

  • macOS (Intel): default_osx-64.pin.txt

  • macOS (Apple Silicon): default_osx-arm64.pin.txt

  • Windows: default_win-64.pin.txt

Create the conda environment:

conda create --name pypsa-eur --file "envs/default_linux-64.pin.txt" # replace with your platform's file
conda activate pypsa-eur

For detailed installation instructions, including solver setup and platform-specific guidance, see the PyPSA-Eur installation documentation

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