In the future, buildings will be planned and built using materials and resources still unknown to us today. They will be planned, designed and measured using artificial intelligence; built taking resource efficiency into account; equipped and operated with AI-supported building technology; monitored and controlled with ultra-high precision sensors; and accompanied by a digital twin. To make this possible, we need to acquire knowledge on a large scale, working towards a completely different way of thinking about construction.
We can assume that the energy problem will improve with time thanks to renewable energies and methods to store them, while the problem of resource use will intensify due to increased resource scarcity. As one of the largest consumers, we in the construction industry need to be prepared and initiate a resource-efficientrevolution in our use of materials. With this in mind, one central objective is that each building must be as durable as possible – either by ensuring a long service life and various uses for the building, or by reusing as many large and small parts as possible. This reuse and recycling must be applied to all scales of the building: the structure as a whole, building parts, and the materials.
This also applies to all infrastructure such as bridges, tunnels, roads and hydraulic structures, where the utilization parameters are determined, for example by digital systems, to create the best possible conditions for users and the environment locally and on a large scale (avoidance of CO2-generating traffic jams, variable use of lanes, etc.).