Buildings today run longer hours, support wider end uses, and support greater levels of economic productivity, creating a thinner margin for error. But even state-of-the-art building and environmental control systems have failed to enable facilities and operations management. Our buildings are inefficient and the people using them are underserved.
To meet occupant comfort and maintain cost and energy efficiency, a dynamic AI-assisted approach is needed.
Fortune 500 commercial office
The Fortune 500 is an annual list of 500 of the largest US companies ranked by total revenues for their respective fiscal years.
Verdigris has developed a solution to automatically minimize HVAC energy usage while maintaining occupancy comfort.
Verdigris sensors monitor the building’s energy usage thousands of times per second. To create forecasts, the AI adds local weather, utility pricing, building management system (BMS) data, and other available datasets. Where data may not be explicitly available, Verdigris AI can infer it. In this simulation, Verdigris’ AI learns the building’s occupancy by observing security badging patterns.
This report simulates the results of an automatic and persistently optimizing heating ventilation and air conditioning (HVAC) system for a Fortune 500-operated building.
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