Verdigris Energy Management System, which is deployed at the distribution panel and primary mechanicals (mcc) to collect energy information such as electricity consumption, peak demand, power quality and time of use of equipment.
Verdigris Building Data Adapter, which is deployed on-premise. The adapter is the gateway between the Verdigris AI engine and the local building automation system.
Verdigris AI engine learns:
Correlation between weather, control signals, environment parameters (temperature, humidity, occupancy) and energy consumption.
Energy forecast based on control signals (could have an indication of an event happening), weather forecast and current energy usage.
The engine adapts itself to explicit signals like new equipment in portfolio and hidden signals within energy like occupancy.
The above abilities enable:
Optimize baseline efficiency for equipment that operates 24-7. Examples:
Chiller, Condenser, Thermostat temperature setpoints
Pump and Fan speeds
Balancing load efficiently across a portfolio of HVAC components
Automated Peak Demand Management: Takes actions before, during and after peak demand event to curtail peak demand without impacting guest comforts.
Pre-conditioning (either cooling or heating)
Recovering to non-peak setpoints
Verdigris AI generates reports:
A detailed monthly savings report shows detailed information about the savings and changes made to the equipment operation scheduling. Key report metrics include:
Last month’s savings in both energy and dollars.
Periodic return on investment
Demand events curtailed