Metering ROI Quick Model

Estimate payback from metering—plus the 'data value' that unlocks tenant coverage, allocation accuracy, and operational savings.

Educational tool. This model is directional and should be validated with site specifics.

Processed in-browser. Nothing is stored.

Inputs

Metering Installed Cost ($)

Total cost including installation

Baseline Annual Energy Spend ($/year)

Current annual cost for metered scope

Estimated Savings Range (%)

Low / Base / High scenarios

Low %

Base %

High %

Optional

Annual O&M Cost

Ongoing maintenance

Analysis Horizon

years

Years to evaluate

Data Value Benefits

Check all that apply to calculate data value score

Enables tenant-level coverage improvementsEnables allocation accuracy/reconciliationEnables peak demand managementEnables M&V proof for projectsEnables vendor accountability (service/energy outcomes)

Results

Enter inputs and click Calculate

How to use this tool

1Enter installed metering cost.
2Enter baseline annual spend (or baseline kWh × blended rate).
3Enter estimated savings % range: low / base / high.
4Optionally enter annual O&M cost for the metering system.
5Check applicable data value benefits.
6Review payback range and decide: pilot (1–3 sites) vs scale.

Example (sanity check)

If meter cost = $12,000, baseline spend = $60,000/yr, savings = 2–5%:

Annual Savings Range

$1,200 – $3,000

$60k × 2–5%

Payback Range

4 – 10 years

$12k ÷ savings

Common pitfalls

Treating metering as savings by itself (metering enables actions)
Not assigning ownership for acting on the data
No baseline → no proof of impact
Metering without a governance plan (data exists, but nobody trusts/uses it)

Change log

v1.0 (2026-01): Latest release