Tårnby Cuts Building Heat Use with AI Forecasting

Tårnby’s municipal buildings used roughly the same amount of gas and district heating year after year, regardless of weather variation. The municipality needed a way to manage heat use across many buildings at an acceptable cost. It also lacked detailed room-level insight into temperature and humidity, making it harder to spot overheating, faults or open windows quickly.

The plan was to combine sensors, weather forecasts, existing building control systems and AI in a plug-and-play platform. Instead of heating based only on current outdoor conditions, the system anticipates weather changes and adjusts the heating system in time. Staff then use the data to correct manual issues and improve day-to-day operation.

Tårnby reports a 15% average reduction in heat use, equal to 22.4 kWh/m², with around 10% expected directly from forecast control. Across the 37 connected buildings, the old heat consumption of 84 kWh/m² fell to 74 kWh/m². The municipality also saved around 250,000 DKK per year on district heating penalty fees and expects a five-year financial gain of 5.84 million DKK.