WattShed.

Design a rebate program

Pick an area, set what you'd pay. See what it creates.

A neutral calculation instrument, not a recommendation: no location, methodology, or program shape is preselected, defaulted, or featured. Housing and climate prefills come from public data; the program economics are your own inputs; per-measure cost and lifetime constants are typical estimates. Everything is computed live, in your browser.

Area

Target

Typical home
Measures
Measure targets
Program rules

Pick a state and a county. Set what you'd pay. See what it creates.

The state and county dropdowns load real housing and climate data for the area; the target dropdowns set what a rebate program pays per kW or kWh saved.

Starting assumptions

  • Program rules start at a first-year savings basis, a replace-on-burnout baseline, a 0.68 coincidence factor, and a summer peak window. Those are starting points, not recommendations: every one of them is a dropdown you can change.
  • Per-measure typical costs and expected useful lives are national-typical estimates, not local prices or your program's own numbers. They are not editable in this version, and the cost figure only affects the percent-of-cost cap.

Reading these numbers

  • Baseline type changes what counts as savings. Replace-on-burnout compares against a new, code-minimum replacement. Early retirement is a program concept that credits savings against an existing unit's remaining life, and it needs that unit's age, which this tool does not collect: the deemed pack here prices replace-on-burnout baselines only, and the two physics methods compare against the existing-equipment inputs you set in the panel.
  • Coincidence factors translate energy savings into claimable peak-demand savings. By convention here, a smart thermostat earns kWh credit but zero claimable kW.
  • Two coincidence-factor conventions are in play across the method columns. The deemed-tables method applies its published summer and winter coincidence factors (0.87 summer, 0.83 winter) inside its own math; the two physics methods multiply by the generic program coincidence factor chosen in the panel (0.68 to start). Part of any peak-kW gap between the columns is that definitional difference, not a physics disagreement.
  • First-year and lifetime are different savings bases. Lifetime multiplies first-year savings by a measure's own expected useful life, so switching the basis changes the rebate math, not just the display.
  • Caps apply in a fixed order: a percent-of-cost ceiling binds per measure first, then a per-project ceiling binds on the summed home total. A single home can trip both.
  • Winter peak windows exist alongside summer ones. A program priced only against a summer peak window can miss winter-peaking measures and homes.
  • Program payments still face a real ceiling in practice: what a program can afford to pay per kW or kWh has a practical upper bound (an avoided-cost ceiling) that these numbers do not enforce. Treat an unusually high effective rate as a flag to check, not a target.

Methodology

  • Degree-day method: fixed 65°F balance point
  • Modified bin method: home-specific balance point from internal and solar gains
  • Deemed tables (state TRM): published per-measure tables where a state pack exists

Census ACS, NREL (CC-BY 4.0), NOAA/NCEI, EIA

Estimates for program-design exploration, not an offer or engineering guidance.

After you publish

What happens after you publish a program

From publishing a design through enrollment, verification, and contractor payment: the full lifecycle, in order.

I

You

Design and publish

  1. Pick a service area anywhere in the country, a savings methodology (deemed tables, degree-day, or modified-bin), the measures you want to fund, and a budget. Every number is computed live as you choose.

    Try the designer
II

Residents

Enroll and audit

III

Contractors + engine

Deliver and settle