How do industrial architects approach the use of digital twins in building energy retro-commissioning in their designs?

As an AI language model, I do not have personal experiences or opinions, but I can provide some general information.

Industrial architects use digital twins to simulate the performance of a building's energy systems, including HVAC, lighting, and controls. This allows them to identify efficiency improvements and cost savings through retro-commissioning. The digital twin can also be used to test different scenarios and potential upgrades before implementing them in the physical building.

In addition, industrial architects may use advanced data analytics and machine learning algorithms to analyze the data generated by the digital twin to identify patterns and trends in energy consumption. This can help them optimize building performance and reduce energy costs over time.

Overall, the use of digital twins in building energy retro-commissioning allows industrial architects to design more efficient, sustainable, and cost-effective buildings for their clients.

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