AI Occupancy Based HVAC Controls results

Measured results, not models.

AI Occupancy Based HVAC Controls results from two buildings, two measurement methods, numbers you can check.

Campus building with large windows beside a tree-lined lawn and walkway

AI Occupancy Based HVAC Controls results

AI Occupancy Based HVAC Controls: 35% HVAC energy savings.

  • 28% less electricity CSUN Lilac Hall
  • 64% less natural gas CSUN Lilac Hall
  • 36% less HVAC electricity CSU Dominguez Hills, independent CalNEXT field study
  • 59.3% lower winter peak demand CSU Dominguez Hills, CalNEXT

Case studies

Two buildings. Two measurement methods.

How results were measured

Our own metered data, and an independent field study.

CSUN Lilac Hall

Measured before and after

KenergyAI's own before-and-after metered data: Sep 2023 to May 2024 (before) vs. Sep 2025 to May 2026 (with KenergyAI). Electricity went from 62,106 to 44,847 kWh. Gas went from 6,594 to 2,390 therms.

About 26 metric tons of CO2e avoided per year.

CSU Dominguez Hills

Independently verified under CalNEXT

CalNEXT statewide emerging-technologies program, report ET23SWE0072 (Oct 29, 2025). IPMVP Option B, energy meters on both heat pumps, KenergyAI features switched on and off weekly, about 10 months of data.

See what these results could look like in your buildings.

Share your BMS and lighting controls. Our team will assess whether your buildings are a fit.

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