Pool shower peak water demand calculator

Calculate water demand by bin and required shower-minutes by bin with your own figures.

Your numbers

Use the units shown. Results update as you change valid inputs.

Use water demand by bin and required shower-minutes by bin to compare changes to your inputs. The method and limits below explain the scope.

Examples

Examples

Try the starting example

Visitors arriving in consecutive equal time bins
20,35,15
Showering share
0.6
Water per shower (L)
30
Bin duration (minutes)
30
Concurrent showers
5
Shower duration (minutes)
5
Water demand by bin (L)
[360,630,270]
Required shower-minutes by bin
[60,105,45]
Concurrent-capacity shortfall by bin (shower-minutes)
[0,0,0]

Try another scenario

Visitors arriving in consecutive equal time bins
21.0,35.0,15.0
Showering share
0.6
Water per shower (L)
30
Bin duration (minutes)
30
Concurrent showers
5
Shower duration (minutes)
5
Water demand by bin (L)
[378,630,270]
Required shower-minutes by bin
[63,105,45]
Concurrent-capacity shortfall by bin (shower-minutes)
[0,0,0]
Calculation method

Calculation method

Water demand by bin (L)

Expected showers=visitors×share; workload=expectedShowers×duration; capacity=concurrency×binDuration.

Required shower-minutes by bin

Expected showers=visitors×share; workload=expectedShowers×duration; capacity=concurrency×binDuration.

Concurrent-capacity shortfall by bin (shower-minutes)

Expected showers=visitors×share; workload=expectedShowers×duration; capacity=concurrency×binDuration.

Symbols and units
a
Visitors arriving in consecutive equal time bins
b
Showering share
c
Water per shower (L)
d
Bin duration (minutes)
e
Concurrent showers
f
Shower duration (minutes)

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

  • Aggregate expected demand; does not model individual queue wait times. 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. Aggregate expected demand; does not model individual queue wait times.
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