AI & Analytics
Energy Optimization
Identify energy waste patterns across your equipment fleet. Baseline comparison, peak demand analysis, and load optimization recommendations with verified savings tracking.
Common Waste Patterns
TwinEdge identifies these patterns automatically from sensor data. Percentage of total energy spend.
Off-Hours Operation
Equipment running during unoccupied periods. Chillers cooling empty buildings at 2 AM.
Poor Staging
Running three compressors at 60% instead of two at 90%. Lead-lag sequencing not optimized.
Degraded Efficiency
Fouled heat exchangers, worn impellers, and slipping belts reducing equipment performance.
Simultaneous Heating/Cooling
HVAC zones fighting each other. Reheat coils activating while chillers are running.
Peak Demand Spikes
Multiple high-draw systems starting simultaneously, triggering demand charges.
Typical Savings by Category
Real results from TwinEdge deployments across industrial and commercial facilities.
| Category | Before | After | Saving |
|---|---|---|---|
| Pump Systems | 0.42 kWh/m3 | 0.31 kWh/m3 | 26% |
| Chiller Plant | 0.85 kW/ton | 0.62 kW/ton | 27% |
| Compressed Air | 22 kW/100 CFM | 16 kW/100 CFM | 27% |
| HVAC Systems | 18.5 kBTU/sqft/yr | 13.2 kBTU/sqft/yr | 29% |
| Demand Charges | $12.50/kW | $8.20/kW avg | 34% |
Optimization Features
Baseline Comparison
ASHRAE-compliant energy baselines adjusted for weather, occupancy, and production volume. Compare actual vs expected consumption.
Peak Demand Analysis
Identify the top contributors to demand peaks. Model load-shedding scenarios and calculate demand charge savings.
Load Optimization
Recommendations for optimal equipment staging, setpoint adjustments, and scheduling changes. Quantified savings per action.
Savings Verification
IPMVP-aligned measurement and verification. Track actual savings against predicted savings with statistical confidence intervals.
Rate Schedule Analysis
Map consumption to utility rate structures. Identify opportunities to shift load from on-peak to off-peak windows.
Carbon Tracking
Convert energy consumption to CO2 equivalent using regional grid emission factors. Track against reduction targets.
Cut Energy Costs by 25-35%
See exactly where energy is wasted and get actionable recommendations with verified savings tracking.