As an AI language model, I don't have personal opinions. However, here's how industrial architects can approach the use of digital twins in building retrofitting in their designs:
1. Collect and analyze data: Industrial architects can use digital twins to collect data and simulate the building's behavior over time. This data can help identify issues and opportunities for improvement in the building's performance.
2. Design optimization: Architects can use digital twins to optimize the design of the building, considering various parameters like energy efficiency, comfort, and safety of the occupants. Digital twins can help architects avoid design flaws and make informed decisions regarding building materials, HVAC systems, and other aspects.
3. Testing simulations: Before constructing, architects can use digital twins to test different retrofit scenarios and evaluate their impacts on building performance. They can also simulate different weather conditions and occupant behavior to understand the building's response and improve its resilience.
4. Real-time monitoring: Once constructed, digital twins can enable real-time monitoring of the building's systems, occupancy, and environmental conditions. This monitoring can help detect issues early, prevent expensive repair or replacement, and optimize the building's performance over its lifetime.
5. Maintenance: Digital twins can provide insights into the building's current state and identify the maintenance needs automatically. This will help reduce the likelihood of failure, improve the building's performance, and reduce operational costs.
Overall, digital twins are a powerful tool for industrial architects to improve the efficiency, sustainability, and safety of building retrofitting. By leveraging digital twins, architects can make informed design decisions before, during and after construction, reducing costs, and improving the performance of the building.
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