Physics-based energy control for airport HVAC operations

Vireco builds an automated digital representation of how each HVAC system actually behaves, then uses live BMS data, flight schedules, weather, occupancy, and tariffs to forecast response and optimize supervisory decisions without new hardware.

Airport energy demand is surging while control remains fragmented

Airports are electrifying fleets, adding EV charging, and expanding terminals. Power demand is rising 2-3x by 2030, yet most hubs still run siloed control systems that can't see how assets interact or predict what happens next.

An automated digital representation of HVAC behavior, not a static rules layer

The platform continuously models how zones, air handling units, central plant assets, and external drivers interact at each site. This representation is updated from live operating data and used to forecast thermal and electrical response before control actions are recommended.

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Automated system representation

Learns the coupled behavior of terminal zones, AHUs, chilled and hot water systems, occupancy dynamics, weather, and tariff structure from real operating history.

02

Physics-informed forecasting

Forecasts loads and state trajectories under changing flight schedules, weather, and occupancy, with quantified uncertainty for operator review.

03

Bounded recommendations

Generates constraint-aware supervisory actions that respect comfort, equipment limits, and operational policies, with clear rationale and expected impact.

How Vireco runs HVAC optimization in practice

The workflow starts with system understanding, then forecasting, then constrained optimization, then auditable deployment through incumbent building systems.

01

01. Build the automated representation

Ingests BMS telemetry, schedules, weather, occupancy signals, and tariffs to map the site's operational structure and interaction dynamics.

02

02. Forecast physical response

Uses a physics-informed model to project temperatures, loads, and energy demand under multiple operating choices and external conditions.

03

03. Optimize under real constraints

Selects supervisory actions that reduce cost and peak exposure while honoring comfort bands, equipment bounds, and operational priorities.

04

04. Deploy and audit on existing BMS

Recommendations are delivered through existing BMS workflows. Every action, input, and outcome is logged for traceability and continuous model improvement.

Rooted in mathematics and physics, not another dashboard

Vireco is building a decision system for mission-critical physical operations. The core product is not reporting or visualization. It is a site-specific mathematical representation that can explain system behavior, forecast what happens next, quantify uncertainty, and generate defensible supervisory control recommendations.

Airports are the starting wedge because HVAC operations are coupled, constrained, and economically material. The same modeling discipline can extend over time, but the immediate focus is precise: physics-based, software-only, auditable HVAC control optimization on top of incumbent BMS infrastructure.

15-25%
Targeted energy reduction
30-60
Days to deployment
Zero
Hardware required