Examples
Examples
Try the starting example
- Grain masses (kg)
- 4,0.5
- Potential litre-gravity-points/kg
- 300,280
- Measured collected wort volume (L)
- 25
- Measured temperature-corrected wort SG
- 1.04
- Observed extract efficiency (%)
- 74.626866
- Measured gravity-points×litres
- 1,000
- Theoretical gravity-points×litres
- 1340
Try another scenario
- Grain masses (kg)
- 5.0,0.5
- Potential litre-gravity-points/kg
- 300,280
- Measured collected wort volume (L)
- 25
- Measured temperature-corrected wort SG
- 1.04
- Observed extract efficiency (%)
- 60.97561
- Measured gravity-points×litres
- 1,000
- Theoretical gravity-points×litres
- 1640
Calculation method
Calculation method
Observed extract efficiency (%)
Efficiency=100×volume×1000(SG-1)/sum grainMass×potential.
Measured gravity-points×litres
Efficiency=100×volume×1000(SG-1)/sum grainMass×potential.
Theoretical gravity-points×litres
Efficiency=100×volume×1000(SG-1)/sum grainMass×potential.
Symbols and units
- a
- Grain masses (kg)
- b
- Potential litre-gravity-points/kg
- c
- Measured collected wort volume (L)
- d
- Measured temperature-corrected wort SG
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
- Values over100% retained as a record inconsistency indicator, not clipped. 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. Values over100% retained as a record inconsistency indicator, not clipped.
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.