Energy system models play a crucial role when it comes to design future sustainable and resilient energy systems. Climate change and geopolitical issues require a fast transformation of the system,
but still many uncertainties remain. The reduction of the uncertainties is mandatory since the size of necessary investments are very high and the lead-time of new infrastructure is years if not decades. Many energy system models describe the energy system in a quite simplified way quite often just by linear relations between in- and output. The models are poor when it comes to understand a strong interaction with the physical world or refined processes within the components of the technologies. The combination of conventional linear optimization energy models to cover most of the system and the inclusion of Partial Differential Equations (PDE) constraints in the model to describe either environmental effects or more detailed component behaviour offers a way out of this dilemma. The goal of the project is to develop first steps in a platform, which combines the open-source energy model generator urbs  with environmental models described by PDE constraints. This can certainly be only very first steps since the complexity of the problem is too big to cover here numerous applications at once.