College Park, MD
Chauncey Jenkins, an energy manager at the University of Maryland, College Park (UMD), and his team were spending hours walking through more than 250 buildings on campus looking for instances of waste—whether it’d be a space heater blasting in the middle of the summer, running water in the break rooms or lights that were left on when nobody was there. They frequently found themselves having to educate staff and students on campus in 1:1 conversations about energy and sustainability. They recognized that their approach was not scalable and needed an immediate and effective solution.
"Keewi has a great program for the reduction of electrical plug load, that engages building occupants to manage their electrical use."
Keewi installed smart adaptors for existing plugs inside UMD’s XFINITY Center, a mixed-used athletics building with offices and a basketball arena and lots of concession stands. The adaptors were used to
collect high-frequency power signature data for each appliance, and
add a switch to each plug such that power to individual appliances could be remotely turned off during periods of inactivity.
Keewi’s advanced controls engines were used to automatically turn off appliances during periods of inactivity, resulting in a 32% reduction in energy use in the offices and 58% reduction in the concession stands. Keewi applies artificial intelligence (AI) and machine learning (ML) to the plug data to learn patterns of usage and automatically turn off appliances when they’re not being used.
50% higher energy use compared to ZNE building model
Removed operational uncertainty and identified energy hogs
Student residents reported 60% self-rating in understanding of personal energy
Student residents reported 100% self-rating in understanding of personal energy
Concession appliances were left on 24/7 during dark days
Centralized control of concession appliances with a 75% potential for savings