As an AI language model, I do not have personal experience or knowledge of the specific practices of industrial architects in building energy-efficient lighting systems. However, I can provide information on how digital twins can be employed in designing energy-efficient lighting systems.
Digital twins are virtual replicas of physical assets or systems that take real-time data from sensors and other sources to simulate the behavior of the real-world system. Industrial architects can use digital twins to model the building and lighting systems and test different configurations and scenarios to optimize energy efficiency.
In the case of designing energy-efficient lighting systems, digital twins can be used to simulate various lighting configurations, including the use of natural light, different types and intensities of artificial lighting, and the placement of light fixtures. The simulation can take into account the building's orientation, the amount of daylight available, and the user's preferences to determine the most energy-efficient and visually comfortable lighting system for the building.
The use of digital twins can also help architects and designers determine the optimal placement and sizing of HVAC systems as lighting systems can impact thermal loads. The digital twin can model different scenarios for the lighting system alongside it, and evaluate how the heating, cooling, or ventilation system needs to be adjusted to maintain an optimal indoor environment while still achieving energy-saving goals.
Overall, digital twins can enable industrial architects to make more informed decisions on lighting systems throughout their building design lifecycle, resulting in energy-efficient lighting systems and lower operating costs.
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