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Self-Learning Heat­ing Control System


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A student room in the Urban Mining and Recycling unit in the NEST research building of Empa was equipped with a self-learning heating and cooling control system.

A smart heating control system developed at the Swiss Federal Laboratories for Materials Science and Technology (Empa) can assess a building in order to provide greater comfort and lower energy costs.

Credit: Zooey Braun, Stuttgart

Researchers at the Swiss Federal Laboratories for Materials Science and Technology (Empa) have developed a smart heating control system that can assess a building's behavior and provide greater comfort and lower energy costs.

The researchers fed an experimental heating control system equipped with artificial intelligence temperature data from the previous 10 months, along with the current weather forecast.

The team found the smart heating and cooling control system adhered fairly closely to pre-set comfort specifications, while using about 25% less energy.

Said Empa's Felix Bünning, "With this method we can construct a good, energy-saving retrofit solution for existing heating systems using relatively simple means and the recorded data."

From Empa
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA


 

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