AI Smart AC Control for HVAC Energy Savings
AI-driven control for split, VRF, chiller, AHU and FCU systems. Analyse occupancy and weather patterns, automate setpoints and schedules, and deliver 20–40% HVAC energy savings in monitored deployments — using IR blasters, BACnet and Modbus to work with the equipment you already have.
Split-Type AC Control
Universal control for wall-mounted, cassette, and ducted split units from any manufacturer. No equipment replacement required.
Universal IR blasters for any split AC brand without replacing units
Remote on/off, temperature, and mode control from any device
Automated schedules based on occupancy patterns and calendars
AI-recommended setpoints balancing comfort and efficiency
Centralised AC Systems
Optimisation for chiller plants, AHUs, VRF systems, and FCU/VAV terminals through BMS integration or direct control.
Sequencing and load balancing for multi-chiller plants
Supply air temperature reset and VAV box optimisation
Automatic load shedding during peak demand periods
BACnet/Modbus connectivity with existing building automation
AI-Powered HVAC Optimisation for VRF, Chiller, AHU and FCU Systems
Smart AC control with HVAC optimisation across VRF, chiller, AHU and FCU equipment — machine-learning algorithms continuously analyse occupancy, weather and thermal behaviour to optimise AC operation automatically.
Pattern Learning
Learns occupancy, weather correlation, and thermal behaviour
Predictive Control
Pre-conditions spaces before occupancy for optimal comfort
Anomaly Detection
Identifies inefficient operation and equipment issues
Energy Analytics
Detailed consumption breakdown and savings tracking
How It Works
From data collection to automated control in four steps
Connect
Install IR blasters or integrate with BMS via BACnet/Modbus
Learn
AI analyses occupancy patterns, schedules, and thermal behaviour
Optimise
System recommends setpoints and schedules for maximum efficiency
Control
Automated direct control adjusts AC in real-time based on conditions
Supported AC Brands
Universal IR control for split units, plus native API integration for VRF systems.
Integration Options
Flexible connectivity for any building infrastructure.
Use Cases
Energy optimisation across building types
Commercial Offices
Occupancy-based zone control
Retail Spaces
Operating hours optimisation
Hotels
Guest room automation
Data Centres
Precision cooling control
Frequently Asked Questions
How does AI learn and optimise AC usage patterns?
The AI engine continuously analyses occupancy patterns from sensors, calendar integrations, and historical data. It learns when spaces are typically occupied, correlates this with weather forecasts and building thermal mass, then automatically pre-cools or pre-heats to maintain comfort while minimizing runtime. The system adapts to seasonal changes and special events, improving efficiency over time.
What types of AC systems are supported?
The platform supports split-type AC units (wall-mounted, cassette, ducted), VRF/VRV multi-split systems (Daikin, Mitsubishi, LG, Samsung), centralised chiller and AHU systems, and FCU/VAV terminal units. Integration methods include IR blasters for split units, manufacturer APIs for VRF systems, and BACnet/Modbus for centralised BMS systems.
How much energy savings can I expect?
Typical energy savings range from 20-40% depending on current practices and building characteristics. Savings come from eliminating unnecessary runtime when spaces are unoccupied (typically 30-50% of operating hours), optimising setpoints based on real occupancy rather than schedules, and reducing peak demand through intelligent load shifting and pre-conditioning strategies.
Can the system integrate with existing BMS infrastructure?
Yes, the platform integrates with major BMS platforms (Honeywell, Johnson Controls, Schneider, Siemens) via BACnet IP/MSTP, Modbus TCP/RTU, and manufacturer APIs. For buildings without BMS, we provide IoT gateways with IR control for split units and relay control for packaged systems, enabling smart control without replacing existing equipment.
How does occupancy-based control work in open-plan offices?
The system uses a combination of occupancy sensors (PIR, CO2, desk booking data) and zone mapping to determine real-time space utilisation. In open offices, it identifies which zones have active occupants and adjusts cooling/heating accordingly. Unoccupied zones enter setback mode while maintaining air quality and preventing thermal stratification.