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Commercial Buildings — Digital Twin

Your Building as a Living, Breathing Energy Model

Visualize airflow, chiller performance, zone comfort, and energy consumption in one unified schematic. Optimize setpoints and predict costs before making changes.

COMMERCIAL BUILDING HVAC — LIVE DIGITAL TWINBUILDINGAHU-1SUPPLYRETURNFLOOR 372.4FSP: 72FOKVAV 65%FLOOR 271.8FSP: 72FOKVAV 70%FLOOR 173.1FSP: 72FWARMVAV 60%CHILLER PLANTCHILLER-1COP5.22.31 kW/ton85 kWCOOLING TOWERENERGY FLOW320 kWHVAC42% (134kW)LIGHTING22% (70kW)PLUG25% (80kW)OTHER11% (35kW)COMFORT (PMV)PMV +0.20ColdHotOptimal: In rangeBUILDING ANALYTICS PANEL7-DAY ENERGY COSTMon$280Tue$343Wed$358Thu$314Fri$245Sat$202Sun$218WHAT-IF COMPARISONCurrent SAT: 55F320 kWRaise to 57F282 kWLower to 53F365 kWPotential savings: $111/day24HR LOAD CURVE00:0012:0023:00BUILDING STATUSOCCUPIEDTOTAL kW320 kWHVAC kW134 kWAVG COMFORTPMV 0.20CHILLER COP5.2OPTIMIZATION INSIGHTRaising supply air temperature from 55F to 57F would reduce HVAC energy by 12% while maintaining PMV within +/- 0.5.Estimated annual savings: $16954 based on current utility rate of $0.12/kWh.

How It Works

From BACnet points to building intelligence in three steps.

01

Connect

Integrate with existing BMS via BACnet, Modbus, or OPC UA. Read AHU, VAV, chiller, and meter points without disrupting building operations.

02

Model

Thermodynamic models calculate COP, zone loads, comfort scores, and energy decomposition from live sensor data — not just trend logs.

03

Simulate

Test setpoint changes, staging strategies, and schedule adjustments on the digital twin. See the impact on comfort and energy before committing.

What You Can Simulate

Every building optimization scenario — tested on the digital twin before making real changes.

Setpoint trade-off analysis

Raise chilled water setpoint by 2 degrees F in the model and see the impact on comfort scores and kW savings.

Chiller staging optimization

Find the optimal number of chillers online for current load — avoid running 3 chillers at 40% when 2 at 60% is more efficient.

Tenant comfort complaint

See the exact airflow, temperature, and humidity in the complaining zone and trace the root cause upstream.

Weekend setback strategy

Model different unoccupied setpoints and pre-conditioning start times to minimize Monday morning energy spikes.

Equipment failure impact

Simulate an AHU or chiller failure and see which zones are affected and how quickly comfort degrades.

Utility rate optimization

Shift cooling load to off-peak hours using thermal storage modeling and demand response scenarios.

BMS vs. Digital Twin

Your BMS controls the building. A digital twin optimizes it.

FeatureTraditional BMSTwinEdge Digital Twin
Energy visibilityMonthly utility billsReal-time kW decomposition by system
Comfort trackingComplaint-drivenPMV scoring per zone, per floor
Chiller optimizationFixed staging rulesDynamic COP-based staging
What-if analysisNot availableSetpoint and schedule simulation
Fault detectionAlarm-basedPhysics-based diagnostics
Load forecastingNone24hr weather-integrated prediction

How does the simulation engine work? →

24%
HVAC Energy Savings
Optimized staging and setpoints reduce the single largest building energy consumer
97.2%
Comfort SLA
Proactive zone control maintains occupant satisfaction without energy waste
4.6mo
Payback Period
Energy savings alone pay back the digital twin investment in under 5 months

See Your Building as a Digital Twin

Share your building floor plans and BMS point list. We will build a live demo with your actual HVAC layout, zones, and energy profile.