Examples
Examples
Try the starting example
- Tested backup runtime (hours)
- 12
- Total load during test (W)
- 10
- Planned backup load (W)
- 8
- Reserve fraction
- 0.2
- Approximate runtime before reserve (hours)
- 12
- Tested delivered energy (Wh)
- 120
Try another scenario
- Tested backup runtime (hours)
- 13.200000000000001
- Total load during test (W)
- 10
- Planned backup load (W)
- 8
- Reserve fraction
- 0.2
- Approximate runtime before reserve (hours)
- 13.2
- Tested delivered energy (Wh)
- 132
Calculation method
Calculation method
Approximate runtime before reserve (hours)
Constant delivered-energy scaling: E=test hours×test watts; new runtime=E(1-reserve)/new watts.
Tested delivered energy (Wh)
Constant delivered-energy scaling: E=test hours×test watts; new runtime=E(1-reserve)/new watts.
Symbols and units
- a
- Tested backup runtime (hours)
- b
- Total load during test (W)
- c
- Planned backup load (W)
- d
- Reserve fraction
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
- Same battery/conditions assumed; load-dependent efficiency and aging can change runtime. 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. Same battery/conditions assumed; load-dependent efficiency and aging can change runtime.
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.