Case study

Chiller circuit leak isolated without a shutdown

WaterManufacturing: Automotive, Plastics & Rubber

Continuous monitoring helped identify and isolate a leaking cooling loop while the production line remained in operation.

A cooling system was taking in more make-up water than expected, with several circuits sharing the total. We compare the circuits separately to identify the leaking loop and keep production running while the repair is planned.

What the data showed

Hover or arrow-key across the trace to read any interval. The flagged point is the one that started the conversation.

Chiller circuit leak isolated without a shutdown
MAKE-UP WATER BY CIRCUIT · 7 DAYS · 4-HOURLY
Chart data
IntervalLoop A (L/h)Loop B (L/h)Loop C (L/h)
D1 0:00212123
D1 4:00211926
D1 8:00241927
D1 12:00201932
D1 16:00242136
D1 20:00221736
D2 0:00222139
D2 4:00211840
D2 8:00252145
D2 12:00202045
D2 16:00202053
D2 20:00252052
D3 0:00221855
D3 4:00222157
D3 8:00241860
D3 12:00201761
D3 16:00201867
D3 20:00242069
D4 0:00241772
D4 4:00232074
D4 8:00231778
D4 12:00212078
D4 16:00241982
D4 20:00232081
D5 0:00201788
D5 4:00221887
D5 8:00201990
D5 12:00211994
D5 16:00201995
D5 20:002318100
D6 0:002420102
D6 4:002020103
D6 8:002019105
D6 12:002217111
D6 16:002019113
D6 20:002220115
D7 0:002019119
D7 4:002320122
D7 8:002320122
D7 12:002219125
D7 16:002120129
D7 20:002117129
Before and after, in words
BeforeOne aggregate make-up figure, four candidate circuits
AfterOne circuit named, isolated and repaired on a planned outage

Background

An automotive factory depends on several cooling circuits to support production. The system is a closed loop, yet it keeps taking in more make-up water than expected. The facility team can see the overall demand, but the total leaves them with several possible places to start looking.

The problem

The incoming make-up figure combines the circuits. A change in that total says something needs attention without showing which loop is responsible. Investigating the whole system takes the team away from the specific fault, and stopping production to search would add another problem to the water loss.

How we found it

We put the comparison at circuit level, using submeters on each make-up line. The dashboard follows the readings together so the team can see where demand diverges. Threshold alerts draw attention to an increasing make-up rate. A circuit that continues taking water stands out against the others, giving maintenance a defined loop to investigate.

What changed

The leaking circuit can be named and isolated while the production line remains in operation. The repair then fits into a planned outage. Instead of working through every possible circuit from an aggregate reading, the team has a specific location and a trace showing why it needs attention.

The lesson

We use submetering to make the next maintenance check more focused. The value here is knowing which circuit accounts for the unexpected water demand and being able to plan the work around production. Keeping the separate traces visible also gives the team a way to check the make-up pattern after the repair and watch for another change.

What changed

Before

One aggregate make-up figure, four candidate circuits

After

One circuit named, isolated and repaired on a planned outage

1 loopisolated

Identified by sub-meter divergence, with no production stoppage.

Find out what’s hiding in your factory.

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