Evaluating digital twin data exchange between a virtual and physical environment regarding lighting quantity

Sammanfattning: Building Information Management and Digital Twin technology with help of Smart lights can optimizethe built environment impacting our health and well-being, by providing the right amount of light at theright time of day. Lighting simulation is challenging, due to the strict requirements to represent reality. Digitaltwin technology will provide a more dynamic two-way feed-back between the physical and the virtual environmentto optimize the lighting environment giving real-time sensor data. The main problem that currently occurswhile evaluating a lighting design made in photorealistic computer visualization is using the appropriate formof their model presentation. However, validation of light simulations has been done multiple times but not manystudies are based on DT-driven light environment evaluation in which not only the realistic representation butalso the exchange of information plays a crucial role. Therefore, the aim is to develop a strategy for demonstratingthe data exchange between a physical and real environment, for a scenario in which an optimal interactionbetween daylight and electric light derives an optimized realization of a given light demand curve. Basedon a quantitative experiment, validation of a Digital Twin was done between a virtual and a physical twin onan existing room using the light simulation tool DIALux evo. Data exchange was optimized for three levels ofgeometrical complexity. The light environment was optimized for interaction between the Digital and RealTwin. Counter to expectations, the results showed that the coarse model is more accurate representation of thephysical counterpart and generates faster data exchange. Defining DT usage purpose reduces time and effortdone on the process of creation. Knowing what data to exchange and how often avoid developers any limitationsor delaying in the process. Future studies can investigate how optimization of data exchange and light environmentcan be achieved with programming and parametric generative design.