Webinar: December 5, 10:00 a.m. to 11:00 a.m. ET 

Register in advance for this webinar: https://ncsu.zoom.us/meeting/register/tJElc-mgrTwsG9JrRnwuT_C1hhtvecrmvg6e (after registering, you will receive a confirmation email containing information about joining the meeting as well as the option to add it to your calendar)

Abstract: The PyPSA ecosystem is a suite of tools designed for modeling and optimizing modern energy systems. At its core is the Python package PyPSA, with extensions like PyPSA-Eur, PyPSA-USA, and PyPSA-Earth, offering regional and global datasets covering power and other carbon-intensive sectors such as heating, aviation, transportation, agriculture, and industry. 

Additional tools enhance holistic modeling: Earth-OSM provides detailed power grid mapping, Atlite generates renewable energy time series and land-use analysis to exclude protected and restricted areas from renewable energy expansion, power plant-matching integrates power plant data, and Linopy formulates mathematical optimization problems and efficiently passes them to solvers, providing the fastest solver interface currently available. 

This free-to-use open-source suite offers a comprehensive framework for multi-scale energy system analysis. The presentation will highlight each tool’s capabilities, offering insights into how the PyPSA ecosystem could support the MultiSector Dynamics (MSD) community.

Speaker bio: Martha Maria Frysztacki studied Mathematics at the University of Erlangen-Nuremberg (FAU) and the University of Zurich, and has completed a PhD in Energy Informatics at the Karlsruhe Institute of Technology (KIT), where she studied under the supervision of Prof. Dr. Tom Brown, a renowned expert in energy system modeling. Today, as co-founder and Head of the Modelling Unit of Open Energy Transition, a non-profit software company and think tank, she supports organizations in leveraging open-source energy system modeling tools for research, regulatory, and planning purposes.