Models are valuable tools to assess potential future pathways of the energy transition. Such models can diverge in their objective functions, data inputs and assumptions. Multi-model analyses can provide important insight into such divergences and similarities and provide more robust assessments.

In a recent study, we have compared Nexus-e, EXPANSE and OREES, three electricity system models with a high spatial resolution with a focus on Switzerland and have analyzed scenarios with high shares of renewable electricity generation for the year 2035. While the models align on solar PV as a key technology in Switzerland, the spatial distribution differs between models.

The study was generously supported by the Swiss Federal Office of Energy SFOE as part of the SWEET EDGE project.