Vireco sits above existing control infrastructure, learns how the site behaves, and helps operators compare supervisory decisions before they act.
The model captures how controlled assets, setpoints, operating constraints, and external drivers interact over time. Inputs differ by environment: one site may rely on building telemetry and tariffs; another may depend on process data, equipment states, grid conditions, or dispatch schedules. The objective is operational cause and effect: what changed, why it changed, and what is likely to happen next.
Physical control systems have lag, inertia, equipment limits, and changing boundary conditions. Grounding forecasts in physics helps the platform hold up when seasons, schedules, and operating regimes change. Operators can see the system logic behind each recommendation.
Project physical and electrical response under multiple candidate actions and external scenarios.
Compare internal system behavior with external conditions to find avoidable energy use, peak exposure, or operating drift.
Recommend the supervisory action that improves cost, demand, or runtime while staying within operating limits.
Record each recommendation, model context, and outcome so operators can review what changed.
Airports combine high energy intensity, strict comfort and reliability requirements, volatile demand patterns, and meaningful tariff exposure. Vireco starts with HVAC because it is controllable, measurable, and economically material. The same supervisory approach can extend to other site-level systems, including charging, storage, flexible loads, and distributed resources where they exist.
Vireco is deployed above existing BMS, SCADA, DCS, PLC, and energy-control environments. Real-time safety logic, equipment controllers, and plant automation stay in place. The implementation maps site topology, validates data quality, calibrates the representation, and delivers recommendations through existing operator workflows.
For each recommendation, Vireco logs the inputs, forecast assumptions, expected result, and measured outcome. Engineering, facilities, finance, and procurement teams can review the evidence behind operational changes.