Measurement + reporting

Energy Savings & Analytics Dashboard

Track, verify and report HVAC energy savings across your buildings.

Illustration: several buildings report into KenergyAI for tracking, verification and reporting of HVAC energy savings.
  • Track, verify and reportHVAC energy savings across your buildings.
  • Measurement and verificationShowing what KenergyAI saves in your buildings.
  • ReportingReporting you can share with your team.

What it's for

Track, verify and report HVAC energy savings.

  • Measurement and verification

    Showing what KenergyAI saves in your buildings.

  • Reporting

    Reporting you can share with your team.

Track, verify and report. The same three steps apply across your buildings.

What it looks like

Portfolio, building and floor views.

Illustrative screens built with example data to show the layout and terms. They are not real building data and show no results.

Portfolio

Portfolio view: all buildings in one list, with floors, devices and last update. Illustrative example data. The chart is a shape only, with no figures.

Building

Building view: comfort, occupancy, weather, heating and cooling activity, schedule and floors. Illustrative example data, not a real building.

Floor

Floor view: a floor-plan heat map of temperature or occupancy, with a table of spaces ranked by occupancy. Illustrative example data, not a real floor.

Inside the screens

What each panel shows.

Close-ups of single panels, drawn with example data. Names are generic and the values are not real building data.

  • Floor-plan heat map

    Each space is colored by whether it is occupied, on standby or unoccupied.

    1. Occupied
    2. Standby
    3. Unoccupied
  • Heating & Cooling Activity

    Daily bars for heating, cooling and idle time.

  • Occupancy

    Daily bars for occupied, standby and unoccupied time.

  • Optimization schedule

    The hours when optimization runs, by day of the week.

  • Zone table

    VAV zones ranked by occupancy rate, with status and temperature.

  • Key readings

    Comfort score, occupied spaces and average occupancy for a building.

How KenergyAI measures results

Measured, not modeled.

Our AI Occupancy Based HVAC Controls results were measured with before-and-after metered data at CSUN, and verified under IPMVP Option B in the CalNEXT study at CSU Dominguez Hills.

See the results

Results

Results for this module.

No published results for this module yet.

Available on its own or combined with other KenergyAI modules.

Want to see how savings would be measured in your buildings?

Our team can walk through the measurement approach for your portfolio or program.

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