Reviews
Part of Where the money actually goes in an electrification budget
Comparing equipment on total cost of ownership
A method for comparing electrification equipment on lifetime cost rather than sticker price, covering purchase, install, energy, upkeep and disposal.
Sticker price is the least informative number on the quote, because it excludes the four costs that follow it home. This article sets out a total cost of ownership comparison you can run on a spreadsheet, using inputs you can actually obtain, and it names no brands because we do not test equipment.
What to take away
- Compare five cost components, not one, across the expected service life.
- Energy cost dominates for high-run-hour equipment and barely matters for the rest.
- Efficiency floors rise over time, which narrows the gap between candidates.
- Model energy prices as a range, not as today's number held flat.
The five components
- Purchase. The equipment, delivered.
- Installation. Labor, electrical work, ancillary trades, permits.
- Energy. Annual consumption multiplied by your rate, over the service life.
- Upkeep. Annual service plus a provision for mid-life repair.
- End of life. Removal, disposal, refrigerant recovery.
Run all five over the expected service life from the specification sheet. The result is not precise, and it does not need to be. It needs to be consistent across candidates, which is something a sticker price comparison never is.
Where energy cost actually dominates
The energy component swamps everything for equipment that runs constantly, and is close to irrelevant for equipment that runs rarely. Heating and cooling sit at one end; a range sits at the other. That single observation reorders most comparison exercises, because households routinely apply the same scrutiny to a cooker as to a heating system.
Minimum standards also compress the field over time. EIA analysis showing that additional appliance standards could meaningfully reduce residential energy use describes the mechanism: the floor rises, so the least efficient legal product improves and the gap to the best available narrows. A comparison built on a decade-old assumption about how bad the cheap option is will be wrong.
Model prices as a range
The energy line depends on a price you do not control and cannot forecast. Rather than guessing, run the comparison twice with different price assumptions and see whether the ranking changes.
EIA's Short-Term Energy Outlook publishes near-term projections for U.S. energy prices and consumption, updated monthly, and is a defensible source for a plausible near-term range. Treat it as a range-setting tool rather than a prediction, and never build a purchase decision on a single point estimate several years out.
A spreadsheet you can actually fill
| Row | Where the number comes from |
|---|---|
| Purchase price | The quote |
| Installation | The quote, broken into lines |
| Expected service life | Manufacturer specification |
| Annual energy use | Rated efficiency applied to your own load estimate |
| Energy price, low and high | Your current tariff, plus a higher scenario |
| Annual upkeep | Installer's answer on typical service cost |
| Mid-life repair provision | Installer's answer on common out-of-warranty repairs |
| Removal and disposal | Ask now, not in year fifteen |
If two candidates land within a few percent of each other across both price scenarios, the cost comparison has told you they are equivalent. Decide on service availability, noise, physical fit or warranty instead, which is usually the honest answer anyway.
For the way costs differ between building types, see our piece on houses versus shared buildings; the budget structure itself sits in where the money goes.
Common questions
What service life should I assume? Use the manufacturer's figure, and note that installation quality and maintenance move it in both directions.
Should incentives go in the model? Only once confirmed in writing for your address. Model the outcome both with and without.
Does a longer warranty justify a higher price? Sometimes. Compare labor terms specifically, since parts-only cover leaves the expensive half exposed.
What if I do not know my annual energy use? Estimate it from twelve months of billing data and your climate. A rough figure applied consistently still ranks candidates correctly.
