12. Provide information on energy and cost savings realized through the deployment of your technology in real-world deployment or test cases.
Describe the facility size, location, number of units deployed, and any business scenario that would help contextualize the savings. If this technology has no real-world deployments, please provide and explain modeled or theoretical data on energy and cost savings. (Limit 2500 characters)

Open Energy dashboards can be used to enable energy reduction competitions, showcase real-time building performance and green building features, and empower occupants to become active participants in energy management.[i] The two real-world cases cited below used costly proprietary energy dashboards.
Washington, D.C. schools represent one of the largest components of Washington D.C.’s building stock. According to Sam Brooks, associate director of energy and sustainability for D.C.’s Department of General Services “We’re trying to re-imagine how you do energy efficiency.” Each building has its own interval meter data and energy dashboard solution. “The data has been a game-changer for us,” he added, but it still amounts to little more than turning things on and off.[ii]
The DC School District developed the “Sprint to Savings” competition and marketed the message “Making conservation fun” to good effect. “Langley Elementary school is our winner with a 30 percent reduction in electricity consumption. Powell Elementary School finished in 2nd place (18 percent reduction) and Anne Beers Elementary locked up the 3rd place position (12.5 percent reduction). Anacostia was the top performing high school and the only high school to surpass the elusive 10 percent reduction threshold. Overall, 24 of the 28 participating schools succeeded in reducing their electricity consumption”. [iii]
Carnegie Mellon University performed a study for PNC that was recently reported in the Providence Journal October 2014. PNC installed meters which measured the energy drawn by devices from an electrical outlet, at 80 Pittsburgh employees' workstations. These 80 employees were divided into four groups, each of which received a different amount of information and control. The first group knew they were being monitored but received no information about their energy consumption. The second group received information through an energy dashboard that collected and displayed plug-load data in real time. The third group also had access to the dashboard and could manually turn on and off specific devices through the use of a switchboard. The fourth group had access to the dashboard and could automate when specific devices turned on and off.
After monitoring the data from the 80 employees for six months, PNC confirmed the following results: Group one reduced overall energy consumption by 7 percent, Group two by 13 percent, Group three by 25 percent and Group four by 38 percent. [iv]