This paper includes an approach to summarize energy systems of countries worldwide in energy system archetypes. These archetypes are generated by a clustering algorithm and modeled in an energy system optimization model by standardized rules. The results show that archetypes provide an opportunity to compare decarbonization pathways of different countries on a global level. Furthermore, they can be used to simplify data collection and elaborate the potential of new technologies in different energy systems. <br>
Solving a large energy system optimization model using an open-source solver
