As a heat source, the local groundwater is tapped via a well. The groundwater has a temperature of about 10°C all year round and ultimately serves as a heat source for the building supply. In order to raise the heat to the heating level, this project has two tracks. During the transition period and the summer months, a solar thermal system combined with a central CO2 heat pump with an output of 440 kW generates the necessary thermal energy. The temperature of the grid during these times is approx. 30°C. In order to generate the required temperature in the buildings, transfer stations with integrated heat pumps are installed at each subscriber. In addition, there is a daily storage tank in each building, designed as a buffer or stratified storage tank. This allows more flexibility of the complete system in energy generation - the focus here is on the generation of energy with renewable energies. In the winter months, a CHP plant supplies the buildings centrally via the existing heating network in the classic form with water at a temperature of approx. 75°C. The decentralised heat pumps are deactivated and a classic transfer station for local heat integrated into the heat pump takes over the heat transfer. The entire system is monitored by a specially developed control technology software (SiMon), which processes all neural network information in the central heating system and continuously optimises the entire network with the aid of artificial intelligence (AI). For example, it is possible to use the weather forecast for the generation forecast. SiMon also analyses the consumption behaviour of individual users in this context and can thus give priority to renewable energies (sun for solar thermal energy) in the generation of electricity. The project was proclaimed a lead project by the environmental network KUMAS in 2015 and is still in intensive scientific support and evaluation through federal subsidies.