Global warming and CO2 emission reduction targets mandate a closer look to energy system planning on different levels. In this work we model a typical residential area that will be built and has to be equipped with a cost optimized, decentral energy system with a high degree of energy autarky and integration of renewable sources. We sketch out the optimization problem and show that the optimization can be done using open data and an open source tool, the Helmholtz Framework for Integrated Energy System Assessment tool, FINE, exclusively. The energy system model chooses from a predetermined set of technologies, takes into account a temporal discretization approach for energy demands as well as for energy production capacities and considers decentralized sector coupling options. As a result, we get a cost-optimized energy system structure as a base for energy system design.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.