Energy control for mission-critical systems
Forecast and optimize airport HVAC using flight schedules, weather, and energy tariffs to reduce demand charges without new hardware or comfort trade-offs.
Forecast and optimize airport HVAC using flight schedules, weather, and energy tariffs to reduce demand charges without new hardware or comfort trade-offs.
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.
Our HVAC optimization software integrates with existing BMS to forecast demand using flight schedules, weather, occupancy, and energy tariffs. Roadmap includes asset health monitoring and distributed energy resource coordination.
Forecasts and optimizes HVAC loads using flight schedules, weather, occupancy, and tariffs to reduce energy costs and demand charges within comfort constraints, integrating with existing BMS.
Fault detection and predictive maintenance for HVAC and central plant equipment. Early-stage development.
Coordinates on-site storage, generation, and flexible loads to manage peaks and reliability where present. Early-stage development.
Software-only integration with existing BMS and building systems. Forecasts demand, optimizes control decisions, and provides auditable recommendations with measured baselines.
Forecasts HVAC demand across zones and air handling units, optimizing precooling, staging, and load shifts to reduce demand charges while maintaining comfort constraints.
Forecasts thermal loads using flight schedules, weather, occupancy, and tariff data to optimize HVAC operations ahead of peak periods and price spikes.
Every control decision is logged with baseline comparisons, measured outcomes, and traceable inputs. Verifiable reporting for procurement and operations teams.
Integrates with existing BMS via standard protocols. Deployment timeline depends on site complexity, data access, and integration requirements. No new hardware required.
Our software models HVAC system interactions using graph-based methods, then applies predictive analytics to optimize control decisions for current and forecasted conditions. Every recommendation is auditable and traceable.
Aggregate multimodal data from all sources
Unified system view
Pattern recognition and predictive analytics
Smart decision-making
Automated control and recommendations