SDG 11

#SDG11 Smart HVAC to Reduce Energy Usage in Buildings
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#SDG11 Smart HVAC to Reduce Energy Usage in Buildings

Saving the Earth with #AI #IoT & #Sustainability

With buildings responsible for 27% of operational carbon emissions due to their energy usage, connecting office building occupancy to heating, ventilation, and air conditioning systems can cut that usage by as much as 30%. Smart thermostats and motion detectors can reduce wasteful energy usage by heating or cooling buildings, floors, and spaces only when people are detected. Predicting when and where people will be within buildings with AI is even better.

by Rob Tiffany••2
#SDG11 Drive Energy Efficiency in Buildings with Electrical Submetering
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#SDG11 Drive Energy Efficiency in Buildings with Electrical Submetering

Saving the Earth with #AI #IoT & #Sustainability

Comprehensive building energy management requires the submetering of all major electrical systems, circuits and equipment to drive better power efficiency. Using a single, overall electrical current meter for the whole building isn’t granular enough to discover inefficiencies. You start by creating a baseline of electricity usage throughout all parts of the building and then search for inefficiencies. Find areas of abnormally high energy consumption and then mitigate anomalies with repairs or more energy efficient equipment. This cuts energy usage, reduces emissions, and saves money. Predicting excessive energy usage within buildings with AI is even better.

by Rob Tiffany••0
#SDG11 Smart Lighting to Reduce Energy Usage in Buildings
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#SDG11 Smart Lighting to Reduce Energy Usage in Buildings

Saving the Earth with #AI #IoT & #Sustainability

Buildings are responsible for 27% of operational carbon emissions due to their energy usage. Connecting office building occupancy to lighting can cut that usage by as much as 40%. Motion detectors can reduce wasteful energy usage by illuminating buildings, floors, and spaces only when people are detected. Additionally, light sensors can adjust brightness based on the amount of natural sunlight present to save even more energy. Predicting when and where people will be within buildings with AI is even better.

by Rob Tiffany••0