Abstract
Building Information Management (BIM) and Digital Twin (DT) technology can optimise lighting to support human health and well-being and the building’s energy performance. The data exchange between a physical and virtual environment was investigated, focusing on a scenario in which optimal interaction between daylight and electric light derives an optimised realisation of a given light demand curve. Investigation and validation of a DT model were done using a virtual room simulated in DIALux Evo and its physical twin for three levels of geometrical complexity. The results show the influence of model complexity and consequences on the speed of information exchange.
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