Electric and Heat Load Profiles, PV Generation, Temperature Data, and Stratified Thermal Storage Parameters for a Single-Family House in Northern Germany

This dataset consists of electric and heat load profiles, photovoltaic generation, temperature data, and stratified thermal storage parameters for a single-family house located in Northern Germany. The hourly electric load profile (in kW) was generated by using the Python package demandlib [1] from the Open Energy Modelling Framework (oemof) [2] with the assumption of an annual electric demand of 4919 kWh. The hourly temperature data (in ºC) was obtained from Deutscher Wetterdienst (DWD) [3] for a location in Northern Germany. With the temperature data and assuming 21402 kWh of annual heat demand, the hourly heat load profile (in kW) was obtained by using the Python package demandlib. The first timestep of the hourly electric load profile, heat load profile, photovoltaic generation, and temperature profile starts on January 1st, 00:00. To obtain the photovoltaic generation (normalized), PVGIS [4] was used. In addition, information about parameters of a stratified thermal storage is included, which is based on public data from the Python package oemof.thermal [5]. This dataset can be useful as input data for an energy system optimization model.