Optimized load profiles of German residential prosumers for 2020, 2021, 2022, 2023, and 2030

This data set contains the optimization results of the publication with title "Quantifying benefits of renewable investments for German residential Prosumers in times of volatile energy markets" (DOI: 10.1038/s41467-024-51967-6). It provides a wide range of optimized load profiles for German single-family houselhold Prosumers. For optimization, we use the FOCUS framework (https://doi.org/10.18154/RWTH-2023-04127) developed at RWTH Aachen University. Each Prosumer has a photovoltaic system and optionally a combination of battery home storage system and heat pump. We provide energy flows between all components as well as generation, demand, and all input data with a resolution of 15 minutes for one year. Further, the number of residents is varied from 1-6 and the year of construction of the building from 1979-2008. The dataset covers the years 2020, 2021, 2022, 2023, and 2030. For selected households we optionally consider variable electricity prices, price breaks for natural gas and electricicty as introduced during the energy crisis, a variation of the size of the photovoltaic system (8.7/13.7 kWp), households with an electric vehicle, and a variation of the interest rate for investments from 2-5%. In addition to energy flows, we share the underlaying linear programming LP pyomo model for each optimized household.