14–15 October 2026
Berlin · Germany
Organised and hosted by PyPSA Labs.
Course outline¶
This two-day workshop introduces PyPSA, an open-source Python package for energy system modelling and energy infrastructure planning. It also explores PyPSA-Eur, a European energy system model and data pipeline maintained at TU Berlin.
What you will learn¶
PyPSA fundamentals: Data structures and fundamental components, formulation of optimisation problems, results retrieval and visualisation
Capacity expansion: Capacity planning problems with PyPSA
Stochastic and risk-averse optimisation: Handling uncertainty and risk management in energy system models
Sector coupling: Multi-carrier networks and energy conversion
Other features: Custom constraints, the statistics module, network explorer.
PyPSA-Eur: A tour through to the European energy system model workflow and data pipeline
Some familiarity with Python and pandas is helpful, but not required. Short introductions to both are included in the annexes.
Venue¶
EmMi LuebesKind-Haus
Littenstraße 87, 10179 Berlin-Mitte
Find location on a Map
Preliminary agenda¶
Day 1 — Wednesday, 14 October 2026¶
| Time | Session |
|---|---|
| 09:00–09:30 | Soft start: arrival, coffee, getting to know each other |
| 09:30–10:30 | Introduction to the PyPSA ecosystem |
| 10:30–10:45 | Break |
| 10:45–12:00 | Introduction to optimisation with PyPSA |
| 12:00–13:00 | Lunch |
| 13:00–14:00 | Modelling with PyPSA: capacity expansion planning |
| 14:00–14:15 | Break |
| 14:15–15:15 | Modelling with PyPSA: sector coupling, results retrieval and statistics |
| 15:15–15:45 | Break |
| 15:45–16:45 | PyPSA-Eur workflow: introduction and hands-on modelling |
| 16:45–17:00 | Wrap-up of day 1 and open questions |
| From 18:30 | Shared dinner at Hofbräu Wirtshaus Berlin (near Alexanderplatz) |
Day 2 — Thursday, 15 October 2026¶
| Time | Session |
|---|---|
| 09:00–10:30 | PyPSA-Eur: a deeper look at the workflow |
| 10:30–11:00 | Break |
| 11:00–12:30 | PyPSA-Eur: hands-on modelling |
| 12:30–13:30 | Lunch |
| 13:30–15:00 | Modelling with PyPSA: stochastic optimisation and risk aversion |
| 15:00–15:30 | Break |
| 15:30–16:30 | Open Q&A: PyPSA functionality, workflows, and your own modelling questions |
Lecturers¶
Dr. Fabian Neumann and Dr. Iegor Riepin are postdoctoral researchers at the Department of Digital Transformation in Energy Systems at Technische Universität Berlin. Their research work focuses on identifying cost-effective pathways to climate neutrality, leveraging energy modelling to inform policy and public discourse.
Fabian and Iegor are also co-founders of PyPSA Labs.
Technical setup¶
Workshop JupyterHub (recommended)¶
Run everything in your browser with all packages pre-installed, on the workshop JupyterHub:
Open the hub your presenter assigns you: workshop1
.pypsalabs .org or workshop2 .pypsalabs .org. Log in with any username you like and the workshop password shown by the presenter.
The workshop notebooks are already in your workspace. Open
01-pypsa-intro.ipynbto begin.
Your files are saved between the two workshop days. Use the same hub and the same username on both days.
Google Colab (fallback)¶
No hub access? You can also run the notebooks in Google Colab: on any notebook page, click 🚀 Open this notebook in Google Colab (a Google account is required). On Colab you install the packages yourself, as noted at the top of each notebook.
Local installation¶
If you prefer to run the notebooks on your own computer, follow the instructions on the next page. You will need to install pixi, which sets up Python and all required packages for you.