Research news on AI in built environment

AI in the built environment encompasses data-driven and physics-informed methods to model, predict, and optimize the performance and resilience of buildings and infrastructure. Machine learning and advanced simulation are applied to building energy use, HVAC control, and solar and wind power forecasting, as well as to hazard-related phenomena such as subsidence, floods, fire, and seismic events. The field also integrates retrofitting strategies, climate-smart housing design, and regulatory considerations to enhance energy efficiency, comfort, and disaster resilience in urban systems.

Engineering

Why your building is often too hot, or cold—and the simple fix

In many cases, heating can be significantly improved simply by adjusting existing controls to account for sunlight, ventilation and how many people are inside, according to researchers at KTH Royal Institute of Technology ...

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