Utility Tool

Heating / AC Cost Calculator

Estimate seasonal heating or cooling energy cost.

Heating / AC Cost Calculator

Result
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What this calculator does

This heating and AC cost calculator estimates seasonal operating cost from system power, usage hours, and electricity rate assumptions.

How it works

Estimates seasonal heating or cooling energy cost from power draw (or BTU conversion), run time, and rates.

  1. Enter power draw (kW or BTU/hr converted) and expected hours per day.
  2. Set your effective electricity rate and seasonal day count.
  3. Compare cooling and heating scenarios separately when usage patterns differ.
  4. Use conservative runtime assumptions for planning buffers.

Example calculation

Sample scenario:

FAQs

How accurate is the Heating / AC Cost Calculator?

It is deterministic for the inputs shown, but outcomes depend on your assumptions.

Can I compare scenarios quickly?

Yes. Change one input at a time to see which variable drives the output.

Can this replace official numbers?

No. Use it for planning, then verify against statements or provider disclosures.

Can I share results?

Yes. Use the share-link option to save the exact input scenario in a URL.

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Advanced details

Show advanced details
Formula
seasonal_cost = power_kw * hours_per_day * seasonal_days * rate_per_kwh
Modeling assumptions
  • Assumes steady average runtime and power draw across modeled days.
  • Weather swings and thermostat behavior can materially change real usage.
  • Rates are modeled as a single effective $/kWh unless you run separate scenarios.
Planning guidance

This heating and AC cost calculator estimates seasonal operating cost from system power, usage hours, and electricity rate assumptions. It is useful for budgeting high-demand months and comparing efficiency upgrades before replacing equipment. For adjacent analysis, pair this with the Electricity Cost Calculator and Appliance Energy Cost Calculator to separate HVAC load from total household usage.

Extended workflow

  1. Enter power draw (kW or BTU/hr converted) and expected hours per day.
  2. Set your effective electricity rate and seasonal day count.
  3. Compare cooling and heating scenarios separately when usage patterns differ.
  4. Use conservative runtime assumptions for planning buffers.

References

Utility outputs depend on usage assumptions and local rates that you provide.

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