CASE79 · Data centers · Chilled-water pump count
Checking chilled-water pump count against seasonal cooling demand
Seasonal load and running-count data identify staging questions in data-center cooling. An operator guide flags possible excess operation for verification before a pump is stopped.
01 · CASE ANALYSIS
Interpret seasonal operating data
The source reports January, April, July and October cooling-load averages of 421, 475, 562 and 390, with average pump counts 3.00, 3.00, 3.29 and 3.02.
The cooling-load values are printed as RT/h in the source. That notation requires confirmation before converting to energy; it is retained here rather than silently redefined.
02 · CASE ANALYSIS
Connect count with flow and demand
Review chilled-water flow, pump power, supply/return temperatures, differential pressure and active equipment. Rated pump flow alone does not establish the required count.
A guide comparing actual and required counts can issue a CHECK and a possible pump-OFF recommendation. A recommendation does not prove that the action occurred.
| Month | Cooling-load value (source RT/h) | Pump count |
|---|---|---|
| January | 421 | 3.00 |
| April | 475 | 3.00 |
| July | 562 | 3.29 |
| October | 390 | 3.02 |
03 · CASE ANALYSIS
Check constraints before reducing count
Maintain cooling flow and differential pressure at the critical point, equipment minimum flow, redundancy and acceptable thermal service.
Low temperature difference may inflate flow demand. Investigate the load side and instruments rather than treating count reduction as the sole solution.
04 · CASE ANALYSIS
Verify the plant response
Trial a count change under bounded load and weather, monitoring pump power and chiller/air-side response. Compare total plant energy at equivalent service.
The related observation of 2.1 actual versus 1.2 required chillers concerns chillers, not a demonstrated pump saving. CASE79 has no isolated final saving amount.
| Signal | Use |
|---|---|
| Actual / required count | Screen excess operation |
| Flow / differential pressure | Confirm delivered service |
| CHW temperature difference | Investigate excess flow demand |
| Plant electricity / thermal state | Verify system effect |
APPLY TO YOUR SITE
Connect your operating data to an actionable energy strategy.
Discuss the measurement boundary, data quality, operating constraints and verification approach for your facility.
Discuss your project All English cases