Intelligent Building Operations, Powered by Physics
Edge analytics in your mechanical room. Cloud intelligence across your portfolio. From chiller performance to automated work orders — one platform.
Industry Challenges
Energy Waste
30–40% of HVAC energy is wasted through inefficient operation, poor sequencing, and equipment degradation that goes undetected.
Tenant Complaints
Comfort issues lead to lost leases and reputation damage. Hot and cold calls consume engineering staff time with reactive firefighting.
Siloed Systems
BAS, CMMS, and utility data live in disconnected systems, making it impossible to correlate equipment performance with energy spend.
Staff Shortages
Fewer engineers are managing more buildings. Institutional knowledge walks out the door with every retirement.
Edge + Cloud Value
Each layer does what it does best. Together, they deliver complete intelligence.
| Capability | Edge (TwinEdge OS) | Cloud (TwinEdge Platform) |
|---|---|---|
| Chiller Optimization | Real-time kW/ton calculation, approach temperature monitoring, condenser fouling detection at each plant | Portfolio-wide chiller benchmarking, load profiling, optimal staging recommendations |
| Energy Benchmarking | Submeter data collection, power quality monitoring, demand tracking at 15-minute intervals | ENERGY STAR scoring, portfolio ranking, utility rate optimization, M&V reporting |
| Comfort Monitoring | Zone temperature and humidity tracking, VAV performance validation, hot/cold call correlation | Tenant satisfaction dashboards, comfort SLA reporting, seasonal setpoint optimization |
| Maintenance | Filter differential pressure monitoring, belt slip detection, runtime-based triggers | Portfolio maintenance planning, vendor management, capital planning, budget forecasting |
| Compliance | Refrigerant leak detection, indoor air quality monitoring, equipment safety checks | Local Law 97 tracking, ASHRAE 90.1 compliance, ESG reporting, carbon accounting |
Chiller Optimization
Energy Benchmarking
Comfort Monitoring
Maintenance
Compliance
Water-Cooled Centrifugal Chiller
Sensor Array
Physics Models
COP
Coefficient of performance: cooling output divided by compressor work input
Approach temperature
Difference between leaving water temperature and refrigerant saturation temperature; indicates heat-exchanger fouling
Lift
Pressure differential the compressor must overcome; drives energy consumption
IPLV tracking
Integrated part-load value weighted across four load points per AHRI 550/590
Superheat/subcooling
Refrigerant superheat and subcooling monitoring for charge assessment
ML Models
Condenser fouling
0.87%Gradual fouling from rising approach temperature trends
Compressor surge
0.75%Surge conditions from vibration, current, and pressure patterns
Refrigerant leak
0.8%Charge loss inferred from superheat/subcooling drift
Load prediction
0.83%Anticipated cooling demand from weather and occupancy data
- •Real-time COP calculation
- •Approach temperature monitoring
- •Surge detection
- •Local alarms
- •Portfolio chiller comparison
- •Condenser cleaning ROI
- •Seasonal optimization
- •Energy benchmarking
From Insight to Work Order
The complete closed loop for commercial facilities operations.
Switching from another platform?
We'll migrate your data from ANY CMMS or analytics platform — free. Assets, work orders, maintenance history, sensor configurations — everything.
See How TwinEdge Works for Commercial Facilities
Edge analytics on your plant floor. Cloud intelligence across every site. Operations Intelligence that turns insights into autonomous action.
Switching from another platform? We migrate your data for free.