Short description: An application is needed for optimised energy management of large buildings that analyses historic user behaviour data (AI). From these data and a range of forecast data (e.g. weather, production planning, employee/office presence), the software develops a control strategy for optimised energy flows.
Market potential: With increasing requirements for energy efficiency and rising energy prices, the market potential for solutions which improve the operation of large buildings is very high.
Timing: Solutions are welcome as soon as possible.
Desired result: The software should allow for a range of optimisation parameters (historic/forecast data). From multiple inputs, the software develops an optimised control strategy. Pre-defined energy consumers are controlled fully automatically, others can be influenced manually and some must always be supplied.
Information on challenge owner: Mid-size SME (50-259 staff).
Market presence of challenge owner: Active in one country.
Keywords: Building energy management; Energy efficient buildings; Processing of multiple data inputs (standard protocols as KNX, BACnet); Artificial intelligence; Software integration into standard building service and control systems