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This AI helps buildings cool themselves and cut emissions

Smart buildings are fueled by data. In tomorrow’s homes and offices, sensors will harvest ever-greater volumes of information to feed cloud-based, AI-enabled systems that can boost building efficiency, while reducing costs and emissions.

The benefits of AI-enabled buildings don’t stop there. Algorithms can also make residences and workplaces more comfortable, which bolster occupants’ health and well-being.

Sam Ramadori, President of BrainBox AI, is part of a team developing automated artificial intelligence solutions that train buildings to make smart decisions about temperature, energy use, efficiency and cost savings. He talked to the World Economic Forum about the high-tech buildings of the future – and the present.

Data is reshaping tomorrow’s buildings

“We came together to tackle the emissions generated by our built environment. It’s stated that the buildings that we work, live and play in account for over 38% of GHG emissions globally. Part of that comes from the construction of new buildings, but the majority of it comes from the daily operations of those buildings. They are by far the biggest energy consumers on our planet,” Ramadori said.

The goal is to use cloud technology to combine a building’s sensor-generated internal data with external sources of data – such as weather conditions, energy costs and if energy supply is generated using fossil fuels or cleaner sources – that impact a building’s energy use. The system can decide the optimal time to reduce or increase heating or cooling levels, taking into account factors like grid demand, energy tariffs and building occupancy levels, for example.

“All that richness of data can be brought together and then leveraged using the new capabilities that we have at our fingertips through artificial intelligence, which can both learn that building in a super granular fashion room

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