Analyze HVAC load patterns, identify peak demand windows, detect load imbalances, and uncover energy waste — turning raw metering data into actionable optimization strategies for your chiller plant and AHU operations.
ZedBee's analytics engine processes continuous metering data to surface patterns that manual monitoring would miss entirely.
Identify the exact hours when your HVAC system draws maximum power. Understand whether peaks are driven by occupancy, weather, or system inefficiency — and target each cause.
Detect uneven cooling loads across AHUs and zones. When some AHUs run at full capacity while others are underutilized, the chiller plant wastes energy on unnecessary generation.
Quantify energy consumed during non-occupancy hours. Buildings often run HVAC systems hours before and after actual need — load analysis reveals exactly how much that costs.
Analyze whether chillers are operating at optimal loading points. Running 2 chillers at 40% each costs more than running 1 at 80%. Load analysis identifies these sequencing opportunities.
Map energy consumption against ambient temperature, humidity, and wet bulb data. Understand how much of your cooling load is weather-driven vs. occupancy-driven.
Correlate actual building occupancy with HVAC energy consumption. When load doesn't drop proportionally with lower occupancy, the system isn't demand-responsive.
Comprehensive demand analysis across every angle of your HVAC operation.
Hour-by-hour energy consumption patterns. Identify ramp-up, peak, and ramp-down periods. Compare weekdays vs. weekends, seasons, and special events.
Total cooling delivered vs. energy consumed. Annual, monthly, and daily ton-hour trends reveal whether your plant is getting more or less efficient over time.
Compare your chiller plant efficiency against industry standards (ASHRAE 90.1). Track kW/Ton for individual chillers and the total plant to identify underperformers.
Per-AHU BTU consumption, run hours, and capacity utilization. Identify which AHUs are overcooling and which are running below design capacity.
Occupancy-correlated load analysis per zone. Understand which zones consume the most energy relative to their occupancy and whether VAV optimization is effective.
Use historical patterns + weather data to forecast next-day cooling demand. Enables proactive chiller staging and pre-cooling strategies for lower peak costs.
Demand charges can be 30–50% of electricity bills. Load analysis identifies peak reduction opportunities.
Data-driven chiller and pump sequencing. Run fewer assets at higher efficiency instead of more assets at partial load.
Align AHU and chiller schedules to actual occupancy patterns — not fixed timers that waste energy on empty buildings.
Baseline and post-retrofit load data for measurement and verification (M&V) in energy savings contracts.
Identify waste, optimize schedules, and justify equipment investments with data
Quantify peak demand charges and track ROI on HVAC automation investments
Validate system design against actual load profiles and recommend retrofits
Track energy intensity metrics for ECBC, IGBC, LEED, and ESG reporting
Load imbalance analysis across high-side and low-side revealed overcooling in unoccupied zones and improper pump control. Led to chiller optimization and VAV deployment.
Annual ton-hour analysis showed 23% reduction after ZedBee automation. Chiller plant electricity consumption dropped 20% — validated through continuous load tracking.
230 energy meters integrated for zone-wise load profiling. Data-driven scheduling of 39 AHUs and chiller plant. Foundation for Phase 2 energy optimization.
Deploy ZedBee load analysis across your building — powered by real-time metering and cloud analytics.