Germany has some of the highest electricity prices in the world. In the past few years, prices for energy have already been rising, but due to war on the european continent, this has dramatically accelerated. New components such as photovoltaic panels, heat pumps, home storages batteries and electric vehicles bring new possibilities and challenges for the home energy management away from fossil fuels towards a larger electricity usage. Setting up the system and managing it is a crucial but non-trivial task. This thesis investigates the financial optimization of a single family home which uses electricity as it main source of energy for heating and mobility. It is equipped with a photovoltaic system (PV) for electricity production, a heatpump for heating and warm water production and relying on one electric vehicle for mobility. For the financial optimization, the following solutions are investigated: introduction of a smart energy management system, sizing the PV, sizing a potential home storage battery and finally introducing vehicle to home capabilities. To answer these questions, a single family home in Germany is simulated over one year. An algorithm developed within the project mimics a smart energy management system, which uses forecasts for of the next 24 hours of all components. This algorithm can decide when to charge or discharge the electric vehicle and the home storage, but can not influence the other actors. The results indicate, that electric vehicles are not ideal as an energy storage from a financial point of view. Home storage batteries are currently a better choice.