Prepare your building for the future

With a trained digital twin, we take the next step. Self-learning algorithms predict how energy can be optimally utilized within the building. The algorithms take into account factors such as weather forecasts, solar radiation, and the availability of sustainable energy. This works in conjunction with the building management system, resulting in a consistent 15% to 30% reduction in energy consumption and CO2 emissions.

The Digital Twin understands the building down to the smallest detail, knowing exactly how it is heated and cooled, and, importantly, how much energy is required for this. It serves as a unique source of knowledge that can also be used for simulations, for example during renovations. For example, it can calculate the step from a gas boiler to a heat pump or assess the investment in an air handling unit and/or insulating the facade of the building. Using data from your building, the Digital Twin can accurately determine which investment will best suit your specific situation.