Using AI to improve building energy use and comfort

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Thermodynamics News

Construction,Energy Technology,Engineering And Construction

Researchers have developed a new method that can lead to significant energy savings in buildings. The team identified 28 major heat loss regions in a multi-unit residential building with the most severe ones being at wall intersections and around windows.

A potential energy savings of 25 per cent is expected if 70 per cent of the discovered regions are fixed.

Researchers at Waterloo, which is a leader in sustainability research and education and a catalyst for environmental innovation, solutions and talent, created an autonomous, real-time platform to make buildings more energy efficient. The platform combines artificial intelligence, infrared technology, and a mathematical model that quantifies heat flow to better identify areas of heat loss in buildings.

The new AI tools helped to remove the element of human error in examining the results and increased the speed of getting the data analyzed by a factor of 12 compared to traditional building inspection methods.

 

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