Reproducible scenario data
Appliance Electricity Cost Scenario Benchmark
This reproducible table calculates hypothetical 30-day electricity costs across appliance wattages, daily runtimes, and editable price-per-kWh scenarios. It demonstrates the formula rather than asserting a local utility rate; taxes, tiers, fixed fees, and equipment cycling may change a bill.
Reviewed July 26, 2026 · Scenario benchmark · Hypothetical inputs, not observed market averages.
How do watts, runtime, and electricity price change monthly cost?
This reproducible table calculates hypothetical 30-day electricity costs across appliance wattages, daily runtimes, and editable price-per-kWh scenarios. It demonstrates the formula rather than asserting a local utility rate; taxes, tiers, fixed fees, and equipment cycling may change a bill.
What assumptions does this benchmark use?
Every row is generated from the displayed inputs and formulas. Values are deliberately hypothetical so the table remains reproducible and does not misrepresent a local rate, platform policy, compensation level, or professional recommendation.
What does the scenario table show?
| Watts | Hours Per Day | Rate Per Kwh | Daily Kwh | Monthly Kwh 30 Days | Monthly Cost 30 Days |
|---|---|---|---|---|---|
| 100 | 1.00 | 0.12 | 0.10 | 3.00 | 0.36 |
| 100 | 1.00 | 0.20 | 0.10 | 3.00 | 0.60 |
| 100 | 1.00 | 0.35 | 0.10 | 3.00 | 1.05 |
| 100 | 4.00 | 0.12 | 0.40 | 12.00 | 1.44 |
| 100 | 4.00 | 0.20 | 0.40 | 12.00 | 2.40 |
| 100 | 4.00 | 0.35 | 0.40 | 12.00 | 4.20 |
| 100 | 8.00 | 0.12 | 0.80 | 24.00 | 2.88 |
| 100 | 8.00 | 0.20 | 0.80 | 24.00 | 4.80 |
| 100 | 8.00 | 0.35 | 0.80 | 24.00 | 8.40 |
| 500 | 1.00 | 0.12 | 0.50 | 15.00 | 1.80 |
| 500 | 1.00 | 0.20 | 0.50 | 15.00 | 3.00 |
| 500 | 1.00 | 0.35 | 0.50 | 15.00 | 5.25 |
| 500 | 4.00 | 0.12 | 2.00 | 60.00 | 7.20 |
| 500 | 4.00 | 0.20 | 2.00 | 60.00 | 12.00 |
| 500 | 4.00 | 0.35 | 2.00 | 60.00 | 21.00 |
| 500 | 8.00 | 0.12 | 4.00 | 120.00 | 14.40 |
| 500 | 8.00 | 0.20 | 4.00 | 120.00 | 24.00 |
| 500 | 8.00 | 0.35 | 4.00 | 120.00 | 42.00 |
| 1500 | 1.00 | 0.12 | 1.50 | 45.00 | 5.40 |
| 1500 | 1.00 | 0.20 | 1.50 | 45.00 | 9.00 |
| 1500 | 1.00 | 0.35 | 1.50 | 45.00 | 15.75 |
| 1500 | 4.00 | 0.12 | 6.00 | 180.00 | 21.60 |
| 1500 | 4.00 | 0.20 | 6.00 | 180.00 | 36.00 |
| 1500 | 4.00 | 0.35 | 6.00 | 180.00 | 63.00 |
| 1500 | 8.00 | 0.12 | 12.00 | 360.00 | 43.20 |
| 1500 | 8.00 | 0.20 | 12.00 | 360.00 | 72.00 |
| 1500 | 8.00 | 0.35 | 12.00 | 360.00 | 126.00 |
How should you use these numbers?
Use the table to understand sensitivity, then replace every assumption with current values relevant to your decision. The linked calculator provides editable inputs. Do not treat a hypothetical row as a quote, policy, tariff, compensation survey, or purchase instruction.
Open the related calculator → · Explore the topic collection →
What source supports the method or context?
U.S. Energy Information Administration — Use of electricity. This source supports terminology or calculation context; it does not endorse BoringToolsKit’s hypothetical scenario values.
Calculation and publication rules: BoringToolsKit methodology.