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.
Energy & Green Tech
A team of Chinese researchers has modeled the potential global benefits of installing solar panels on outside building walls, a concept known as facade-integrated photovoltaics (FIPV). They found that solar panels installed ...
Mar 27, 2026
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Engineering
One of the research lines of the group of the EHU-University of the Basque Country is seeking solutions to generate districts or neighborhoods whose annual net energy consumption is close to zero. Using machine learning techniques, ...
Mar 26, 2026
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Engineering
Step into a modern office tower or hospital, and the air you breathe is often carefully engineered, filtered, circulated, and cooled at a high energy cost. Now imagine those same spaces quietly breathing on their own, supported ...
Mar 26, 2026
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Energy & Green Tech
Buildings are one of the largest contributors to global energy consumption. In 2025, they accounted for around 30% of total global energy demand, 70% of which came from residential buildings. But as cities grow and standards ...
Mar 25, 2026
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Engineering
Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for forecasting future urban layouts by jointly considering building density, building height, transportation ...
Mar 24, 2026
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Energy & Green Tech
Buildings researchers at the Department of Energy's Pacific Northwest National Laboratory have released a new AI-driven, autonomous bot that could help speed up the energy modeling process for commercial building construction. ...
Mar 23, 2026
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Energy & Green Tech
A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in Andalusia through 2100 based on temperature data. Peak solar hour (PSH) is a key concept in the field ...
Mar 19, 2026
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Engineering
As transit agencies face growing climate risks and limited capital budgets, deciding which flood protection measures to implement—and where—has become a critical challenge. Now, a research team at NYU Tandon School of Engineering ...
Mar 16, 2026
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Engineering
Taller buildings get a bad rap. New research from University of Toronto Engineering's Center for the Sustainable Built Environment (CSBE) has found that while adding height does slightly increase embodied emissions, other ...
Mar 5, 2026
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Energy & Green Tech
Researchers at the University of Bath have developed the first artificial intelligence (AI) tool that predicts the carbon footprint of buildings from simple text descriptions, giving architects real-time feedback on sustainability ...
Mar 2, 2026
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