Neue interdisziplinäre Publikation mit den Mathematikern von Kai Schulze, Mile Mišić und Michèle Knodt zur Modellierung der Erneuerbaren Energie-Partnschaftswahl

Who should we trade renewable energy with? It’s not just about costs.

Proud to share our latest co-authored article from Clean Circles Technische Universität Darmstadt: „Navigating the selection of renewable energy trading partners: A multi-objective optimization approach“ published in Energy and Climate Change (2025)

As Europe’s energy demand grows, many countries—including Germany—will increasingly rely on importing renewable energy. But choosing trading partners isn't simply a matter of who offers the lowest price. In our paper, we present a novel multi-objective optimization approach that integrates not only cost-efficiency, but also sustainability, governance quality, and security of supply. Instead of generic rankings, our model identifies concrete trade networks—i.e., optimal combinations of partner countries and their respective shares in total supply.

We demonstrate this approach using iron as a renewable energy carrier for Germany and show how different constraints change the ideal partner set.

And: We’ve developed an interactive dashboard where you can explore different selection scenarios based on your own priorities.

Read the full article (open access):

https://www.sciencedirect.com/science/article/pii/S2666278725000248?via%3Dihub

Thanks to my co-authors Erik Jansen, Mile Mišić, Kai Schulze, and Marc Pfetsch for this exciting interdisciplinary collaboration!