Page 11: 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

What does 'drier' really mean in 'green' homes?

As many New Zealanders contend with condensation, drafts, and mold this winter, a recent study challenges assumptions about what makes a home drier. It urges green building rating tools to clarify how humidity and dampness ...

Energy & Green Tech

AI can see clearly now, when it comes to energy storage

A newly developed performance evaluation system can assess energy storage power plants (ESPPs) in terms of investment decisions and public policy, as well as their place in sustainable energy infrastructure. The research ...

Energy & Green Tech

New book explores 'socially sustainable' architecture

Alexandra Staub, author and professor of architecture in the College of Arts and Architecture's Stuckeman School at Penn State, examines how architects can better serve society by changing their approach to the building process ...

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