Energy optimization of buildings using artificial intelligence
Københavns Ejendomme og Indkøb and Copenhagen Solutions Lab collaborate to lower energy consumption in the municipality's buildings.
Københavns Ejendomme og Indkøb (KEID) and Copenhagen Solutions Lab collaborate to reduce energy consumption in the municipality's buildings using artificial intelligence (AI) and data-supported tools. This will contribute to reducing CO2 emissions and the municipality's heating and electricity bill, while maintaining a good indoor climate in the buildings. The final result of the project will be concrete AI tools to optimize energy-efficient operation and indoor climate, while taking into account fluctuating loads in the supply network. This project is one of the National Association of Municipalities' Signature Projects, which is financed by the Finance Act.
Optimized energy consumption through flexibility
The project will streamline and automate the energy management of buildings based on data on, among other things, local weather forecasts and how buildings are used, in order to better predict when and how much heat and electricity the individual building can provide in relation to making the energy consumption flexible. In peak load periods, energy suppliers are dependent on falling back on non-renewable energy sources such as oil, gas or coal, where prices are often high, instead of using green energy to, for example, heat and ventilate the buildings. In this case, Copenhagen Municipality, as a significant manager of properties, can step in and relieve the system through delayed heating (i.e. heating the building at "odd"/green times, as buildings can "hold the heat" for a certain period of time), or delayed electricity consumption in a building outside of these peak periods. It will contribute to CO2 savings and contribute to a lower energy bill.
Staggered heating or reduced and staggered ventilation must not affect the well-being of the users or the physical security and operation of the buildings. Therefore, KEID's strategies for technical operation of the municipality's properties are important for the project, and a central element here are indoor climate measurements of, among other things, the temperature, humidity and CO2 content in the buildings.
With the project, Copenhagen Municipality gains important experience with the use of articifial intelligence as a tool to adapt energy consumption in relation to the fluctuating, green energy production, and this experience with the design, use and scaling of data-driven solutions will ultimately result in a series of recommendations for the benefit of other municipalities via the collaboration with the National Association of Municipalities.
