Exploration of the energetic potential of the buildings in Oestrich-Winkel
Oestrich-Winkel is a small town in Germany with about 12,000 inhabitants in a rather rural area characterised by wine growing. The town applied for the W4RES call for project because, as a small municipality, it has limited financial and human resources to initiate new projects and try out new technical features. With the help of W4RES partners, it received the necessary support to take another step towards a climate-neutral future.
As part of the project, the municipality received technical support from the Hochschule für Technik Stuttgart (HFT). They created a simulation for Oestrich-Winkel that determines the technically feasible photovoltaic potential as well as the heat demand for all buildings in the town. To determine the PV potential, the average PV yield (MWh/a), the possible installed capacity (kWp), the technical feasibility (yes/no), and the economic viability in 20 years (yes/no) were taken into account and presented on a map and in a table. Based on the heat demand of the buildings, several renovation scenarios were simulated: no renovation, full renovation according to GEG (Building Energy Act), roof renovation according to BEG (Federal subsidy for efficient buildings) and the combination of roof, window and basement renovation according to BEG. In addition, the building standards Efficiency House* 40, Efficiency House 55 and Efficiency House 70 were considered.
On the one hand, the results can be used to inform the citizens of the city. By illustrating the potential, they are encouraged to become active and invest in a photovoltaic system, for example, or to insulate their house. On the other hand, the results can also be used for the city's own properties. For example, it is possible to see where renovation is particularly sensible or in which building the installation of a photovoltaic system is worthwhile.
Through W4RES, the city of Oestrich-Winkel got technical support to find the photovoltaic potential as well as the heat demands for all buildings in town through simulations.
