What InverseAudit does

InverseAudit is an energy auditing platform for commercial buildings. It builds a calibrated energy model of your building from monthly or interval meter data, without the effort that manual modeling and calibration require.

The workflow

graph LR
    A["Create a baseline"] --> B["Enter data"]
    B --> C["Calibrate"]
    C --> D["Benchmark"]
    D --> E["Subscribe"]
    E --> F["Energy audit"]
    F --> G["Post the report"]
  1. Create a baseline for your building.
  2. Enter its meter data, geometry, systems and rates.
  3. Run the calibration. InverseAudit tunes the model until it matches your meter data.
  4. Review the benchmark results.
  5. Subscribe the baseline to unlock the energy audit.
  6. In the energy audit, try energy conservation measures and see their savings and payback.
  7. Post the report so your contacts and clients can see it.

Why a model should be calibrated

Energy modeling is not always accurate, especially for older existing buildings. A model’s accuracy is limited by the complexity of buildings. It also depends on operational factors such as schedules and occupancy, how systems and equipment are operated, plug loads and weather.1 A model that hasn’t been calibrated with utility data isn’t accurate, so it should be calibrated before energy cost savings are calculated.

Why use InverseAudit

  • It creates and calibrates a model based on your utility data and historical weather data. This leads to an accurate and representative model of your building.
  • You can perform an energy audit equivalent to an ASHRAE Level 2 energy audit.

InverseAudit can be used for:

  • ASHRAE Level 2 energy audits
  • Building Energy Ordinance programs
  • LEED O+M: Existing Buildings

Methodologies and standards

InverseAudit incorporates industry standards such as:

  • ASHRAE Standard 90.1
  • ASHRAE Standard 211
  • IPMVP (International Performance Measurement and Verification Protocol)

It combines them with its own calibration methods.

See How scores are calculated for the models behind the results. To try it, follow the Quick start with the Demo Building.

  1. How Accurate is Energy Modeling in the Market. ↩