Vireco builds a working model of how a site behaves. It uses existing telemetry and the operating context available in that environment to forecast response and recommend supervisory actions operators can verify.
Airports are electrifying fleets, adding EV charging, and expanding terminals. Each system may have its own controller. Operators still need to understand how decisions across HVAC, charging, storage, and other controllable loads affect cost, reliability, and demand.
Vireco operates above existing BMS, SCADA, DCS, PLC, and energy-management environments. Real-time controllers keep handling equipment protection and safety logic. Vireco helps operators forecast outcomes before changing setpoints, schedules, or dispatch decisions.
Learns how the controlled assets at a site respond to operator decisions and outside conditions.
Forecasts system response under different operating choices, using the signals that matter for that environment.
Finds avoidable energy use, peak exposure, and operating drift by comparing internal system behavior with external conditions.
The process moves from site understanding to inefficiency detection, forecasts, operating recommendations, and operator review inside existing workflows.
Connects to existing telemetry and the operating context relevant to that site. The available signals differ by facility and control system.
Uses a physics-informed model to project asset states, loads, temperatures, and demand under different operating choices.
Uses internal system behavior and external drivers to recommend actions that reduce waste, demand peaks, or unnecessary runtime.
Recommendations move through existing operator workflows. Actions, inputs, and outcomes are logged for review and model improvement.
Vireco is building a supervisory intelligence layer for physical operations. The product uses a site-specific mathematical representation to explain system behavior, forecast what happens next, measure uncertainty, and recommend control actions operators can review.
Airports are the starting wedge because energy operations are coupled, constrained, and economically material. Vireco starts with HVAC because it is controllable, measurable, and expensive to run. The same modeling discipline extends wherever supervisory decisions sit above existing control infrastructure.