Emission-aware prosumer

Consume energy when it is most sustainable.

Optimal energy management

Active building energy management enhances low-carbon buildings and supports future smart city operations through advanced digital integration, addressing diverse objectives and engaging multiple stakeholders.

Carbon footprint reduction

Enhancements in an existing building's energy management system using model predictive control reduced carbon emissions by 12.5% and provided energy system flexibility without rebound risks.

Grid-interactiveness

In a real experiment, a local energy system was tested to see how flexible it could be in using energy without causing any unexpected problems. The test successfully showed that the system could adapt its energy use safely because changes were measured and shared with the system operator beforehand. This helps ensure that energy adjustments are made smoothly and predictably, avoiding any sudden increases in energy use after making reductions.

Communication

In the experiments, there was a continuous exchange of information between the control system, external sources like MeteoSwiss, a simulated system operator, and the physical equipment. This communication allowed for seamless coordination and efficient operation across different parts of the system. This integration ensures that all components work together effectively, enhancing overall performance.