Cooling Audit for Identifying Potential Cooling Problems in Data Centers
Schneider Electric · Kevin Dunlap
Schneider Electric WP 40 gives a step-by-step audit procedure and checklist for finding cooling capacity and distribution problems in an existing air-cooled data room.
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Overview
The audit starts by comparing CRAC and heat-rejection sensible capacity with a heat-load worksheet. Its coefficients are: UPS with battery = 0.04 x UPS rating + 0.06 x IT load; power distribution = 0.02 x rating + 0.02 x IT load; lighting at 21.53 W/m2 (2.0 W/ft2); 100 W per person; redundant UPS capacity is excluded. It then covers CRAC coordination and set points, supply-loop temperatures, aisle and rack inlet measurement, perforated-tile airflow, blanking panels, underfloor obstructions and hot/cold aisle layout.
Numeric tolerances are given. CRAC set points should be 20-25 C and 40-55% RH, with filters changed quarterly. Chilled water is 7.2 C (+/- 1.7 C); condenser water is at most 32.2 C for water-cooled and 43.3 C for glycol-cooled systems. CRACs in a defined area (4-5 adjacent units) should run in the same mode, since demand fighting can cut efficiency by 20-30%. In a 50 kW example, lowering the RH set point from 50% to 45% at 22 C raised sensible capacity from 45.3 to 49.9 kW and removed 3.2 kW of humidifier load ($2,242.56 per year).
Measurement positions are fixed so results can be repeated: aisle temperatures at 1.5 m above the floor at about every fourth rack, rack inlets at bottom, middle and top 50 mm from the equipment face and logged for 48 hours, with 20-25 C as the default acceptable inlet. The airflow formula is CFM = 3,412 x Q / (1.085 x delta T in F); at an 11 C rise, about 75.5 L/s (160 CFM) is needed per kW.
Perforated-tile limits are tight: a typical tile about 25% open supports only 1.25 to 2.5 kW per cabinet at one tile per cabinet. Measurements show 50-80% of available cold air escapes prematurely through unsealed raised-floor cable openings. An appendix gives the assumptions of the humidification cost example and a fill-in audit form.
Key points
- Heat-load coefficients: UPS 0.04 x rating + 0.06 x IT load; distribution 0.02 x rating + 0.02 x IT load; lighting 21.53 W/m2; 100 W per person.
- 4-5 adjacent CRACs in an area should run in the same mode; demand fighting can cut efficiency 20-30%.
- In the 50 kW example, cutting RH set point from 50% to 45% raised sensible capacity from 45.3 to 49.9 kW and removed 3.2 kW of humidifier load ($2,242.56 per year).
- CRAC set points are 20-25 C and 40-55% RH; filters are changed quarterly.
- Chilled water 7.2 C (+/- 1.7 C); condenser water at most 32.2 C (water-cooled) or 43.3 C (glycol-cooled).
- Aisle temperature at 1.5 m at about every fourth rack; rack inlets bottom, middle, top at 50 mm over 48 hours; default acceptable 20-25 C.
- CFM = 3,412 x Q / (1.085 x delta T in F); about 75.5 L/s per kW at an 11 C rise.
- A tile about 25% open supports 1.25-2.5 kW per cabinet; 50-80% of cold air escapes through unsealed cable openings.
Using it in design
- Use these coefficients as the default room heat-load method and compare the result against the lower of CRAC sensible capacity and heat-rejection capacity.
- Compute required airflow as Q x 3412 / (1.085 x delta T) with delta T defaulting to 20 F, and warn when rack kW per standard 25%-open tile exceeds 2.5 kW.
- Flag mixed CRAC set points within a zone (demand fighting) and validate set points against 20-25 C and 40-55% RH.
- Export a measurement-point plan (aisle points every fourth rack at 1.5 m, rack inlets bottom/middle/top) with water tolerance checks, and warn on unsealed cable cut-outs in raised-floor designs.
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Who should read it
Facility and cooling engineers auditing existing air-cooled data rooms.
Related standards
- ASHRAE TC 9.9 Thermal Guidelines
Publication details
- Authors
- Kevin Dunlap
- Publisher
- Schneider Electric
- Year
- 2014
- Document number
- WP 40
- Document language
- English
- Source type
- Manufacturer
- Access
- Free to read
- Licence
- Copyright retained; citation only — the publisher’s terms apply to the original document
Citation
Kevin Dunlap (2014). Cooling Audit for Identifying Potential Cooling Problems in Data Centers. Schneider Electric. WP 40. https://download.schneider-electric.com/files?p_Doc_Ref=SPD_VAVR-5UGVCN_EN
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