As an AI language model, I don't have personal experiences or opinions, but I can provide general information on this topic.
Industrial architects can use digital twins to simulate the performance of refrigeration systems in a virtual environment before a physical system is built. This enables them to optimize the design of the system to ensure it is energy-efficient before it is constructed.
A digital twin can incorporate data from sensors, climate models, occupant behavior, and other sources to create a more accurate representation of the real-world system. The simulation can then be used to test different scenarios and configurations to identify the most energy-efficient option.
The use of digital twins can also help industrial architects identify potential problems and inefficiencies in the design early on, reducing the need for costly retrofits or repairs later. This can ultimately save energy and reduce the carbon footprint of the system.
Overall, the use of digital twins in building energy-efficient refrigeration systems allows industrial architects to improve the design of the system, increase its energy efficiency, and reduce its overall environmental impact.
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