Upto - 30%
Energy Bill Reduction
49%
Pump Energy Savings
<0.7
kW/TR Chiller Target
Energy Bill Reduction
Pump Energy Savings
kW/TR Chiller Target
EnergySmart creates a virtual model of your chiller plant, AHUs, boilers, cooling towers, pumps, and distribution systems. The AI runs in real time against live sensor data, validates expected vs. actual performance, and surfaces where energy is being lost at asset, zone, and facility level.
Low Delta-T syndrome, fouled heat exchangers, oversized pump flow, mis-sequenced chillers, and poorly reset supply air temperatures silently waste 20-35% of HVAC energy in a typical plant. Nobody notices because there is no calibrated baseline to compare against.
EnergySmart does not just flag problems. It calculates the optimal operating point, pushes setpoint adjustments via aQ Core, and then measures actual energy change against the physics model. Every kWh saved is time-stamped and attributed.
AI-Native Platform
No dashboards to configure. No reports to build. Just tell the AI what you need to know about your energy performance and it delivers.
EnergySmart is not a dashboard you check. It is an AI energy analyst that continuously monitors your HVAC plant, identifies inefficiencies, calculates savings opportunities, and explains exactly why something is happening in plain language.
Traditional platforms show you charts. EnergySmart tells you "Chiller 2 is running at 0.72 kW/TR because the condenser water setpoint is 2°C too high adjusting now will save $4,200/month."
The AI continuously scans for inefficiencies, explains root causes, and calculates the financial impact without being asked.
Ask "why is Building C using more energy?" and get a physics-based explanation, not a chart to interpret.
When the AI identifies a setpoint improvement, it can push the change directly to the BMS via aQ Core closed loop.
Generate IPMVP-compliant verification reports with one command. No manual data pulling or spreadsheet work.
The AI ranks every optimisation opportunity by ROI, payback period, and implementation complexity automatically.
Ask "what will our energy cost be next month?" and get a forecast based on weather, occupancy, and tariff data.
The 6-Layer Optimisation Engine
Physics-based optimisation across every component of your HVAC plant.
Real-time kW/TR against the physics-derived efficiency curve. Detects staging inefficiencies, part-load penalties, and compressor degradation. Best-in-class target: <0.7 kW/TR.
Chiller Sequencing
COP Tracking
ASHRAE GL36
EnergySmart tracks system ΔT continuously, identifies root causes (coil bypass, stuck valves), and drives corrective sequences to restore the target 5-8°C differential.
ΔT Monitoring
Root Cause Analysis
Valve Coordination
Pump power scales with flow³. Reducing flow by 20% cuts pump power by nearly 50%. This single optimisation is typically the largest single energy saving in the plant.
VFD Control
ΔP Reset
Flow Optimisation
EnergySmart calculates the optimal CWS setpoint using wet-bulb tracking and coordinates tower fan VFDs to minimise combined chiller + tower energy.
Approach Temp
Fan VFD
Wet Bulb Tracking
Supply air temperature reset, demand-controlled ventilation using CO₂, economiser free-cooling sequences, and fan speed optimisation targeting SFP <1.5 W/(l/s).
SAT Reset
DCV / CO₂
Economiser
MPC runs predictive models using weather forecasts, occupancy schedules, and thermal mass data. Pre-conditions spaces during low-tariff periods.
Demand Response
Weather-Adaptive
Peak Shaving
The Validation Loop
Most optimisation platforms show a dashboard of "potential savings." EnergySmart closes the loop: a physics-derived baseline is calibrated to actual plant data before any optimisation begins. Every kWh saved is verifiable against the IPMVP M&V baseline.
Physics model calibrated to actual plant data
Deviation from baseline. Root cause isolated.
Optimal operating point calculated and applied
Actual energy vs. prediction, timestamped
Savings attributed. IPMVP report generated.
Use Cases
Large central plants with chillers, cooling towers, and AHUs serving multiple floors and tenants.
Mission-critical cooling with stringent uptime requirements and massive energy footprints.
Process cooling, compressed air, and HVAC integration for production environments.
Guest comfort expectations combined with high energy costs and 24/7 operation.
Critical environments with strict temperature and humidity requirements for patient safety.
Large conditioned spaces with variable occupancy and tenant cost allocation needs.
Industry Solutions
VFD staging, kW/TR tracking, condenser optimisation
Part-load efficiency, compressor cycling optimisation
Combustion efficiency, staging, condensing optimisation
COP tracking, defrost optimisation, reversing valve control
SAT reset, economiser, DCV, SFP optimisation
Approach temp, fan VFD, water treatment integration
Affinity law optimisation, ΔP reset, staging
Zone pressure optimisation, reheat minimisation
Platform Comparison
| Capability | Aqueduct (EnergySmart) | Other Smart Building Platforms |
|---|---|---|
| AI-native architecture | Built on AI from day one | AI bolted on to legacy platform |
| Natural language diagnostics | Ask why, get physics-based answer | Charts only, interpretation required |
| Physics digital twin | EnergyPlus-calibrated | ML model only or partial physics |
| M&V baseline + verification | IPMVP Option A/B | Model-relative only |
| Auto-generated reports | One command, instant M&V report | Manual report building |
| Outcome-based pricing | Linked to kWh saved | Project or subscription pricing |
Measurable Results
Energy Bill Reduction
Whole-facility savings
Pump Energy Savings
Via affinity law optimisation
kW/TR Chiller Target
Best-in-class efficiency
Native Intelligence
Not bolted on
See how EnergySmart delivers AI-verified 15-35% energy reduction with physics-based M&V.
Global end-to-end smart building platform. AWS Advanced Tier Service Partner.
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