Examples
Examples
Try the starting example
- Heater electrical power when on (W)
- 200
- Observed ON runtime (hours)
- 7
- Observation period (hours)
- 24
- Observed duty fraction
- 0.291667
- Observed consumption (kWh)
- 1.4
- Same-duty projected daily energy (kWh/day)
- 1.4
Try another scenario
- Heater electrical power when on (W)
- 220.00000000000003
- Observed ON runtime (hours)
- 7
- Observation period (hours)
- 24
- Observed duty fraction
- 0.291667
- Observed consumption (kWh)
- 1.54
- Same-duty projected daily energy (kWh/day)
- 1.54
Calculation method
Calculation method
Observed duty fraction
Duty=onHours/observationHours; energy=W×hours/1000.
Observed consumption (kWh)
Duty=onHours/observationHours; energy=W×hours/1000.
Same-duty projected daily energy (kWh/day)
Duty=onHours/observationHours; energy=W×hours/1000.
Symbols and units
- a
- Heater electrical power when on (W)
- b
- Observed ON runtime (hours)
- c
- Observation period (hours)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Calculation uses the entered values and stated mathematical model; quantities must use the labelled units. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. Duty=onHours/observationHours; energy=W×hours/1000.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.