Data Center Energy Benchmarking: Part 2 - Case Studies on TwoCo-location Network Data Centers (No. 18 and 19)

Xu, Tengfang ; Greenberg, Steve

关键词: 32;    COMPUTERS;    DESIGN;    DISTRIBUTION;    ELECTRIC POWER;    ENERGY EFFICIENCY;    HVAC SYSTEMS;    LOS ANGELES;    MANAGEMENT;    POWER DEMAND;    POWER DENSITY;    RECOMMENDATIONS;    WATER;   

DOI  :  10.2172/928722
RP-ID  :  LBNL--62716-Pt.-2
PID  :  OSTI ID: 928722
Others  :  R&D Project: E12001
Others  :  TRN: US200812%%536

美国|英语

来源: SciTech Connect

【 摘 要 】

Two data centers in this study were within a co-location facility located on the sixth floor of a multi-story building in downtown Los Angeles, California. The facility had 37,758 gross square feet floor area with 2-foot raised-floors in the data services area. The two data centers were designated as the west data center (DC No.18) and the east data center (DC No.19). The study found that 56% of the overall electric power was consumed by sixth floor critical loads in both data centers, 33% of the power was consumed by HVAC systems, 3% of the power was consumed by UPS units, 3% of the power was for generator losses, and the remaining 5% was used by lighting and miscellaneous loads in the building. The power density of installed computer loads (rack load) in the two data centers was 20 W/ft{sup 2} and 56 W/ft{sup 2}, respectively. The power density was relatively lower in DC No.18 compared to other data centers previously studied. In addition, HVAC to IT power demand ratio was 0.6 in DC No.18 in this study, and was 0.4 in DC No.19. Two out of three chillers were running at a low partial load, making the operation very energy inefficient. The operation and control of the chillers and air-handling units should be optimized while providing sufficient cooling to the data centers. Although arranging hot aisle/cold aisle design to separate airflow streams would be difficult in such a co-location data center, optimizing air distribution should be pursued. General recommendations for improving overall data center energy efficiency include improving the design, operation, and control of mechanical systems serving the data centers with various critical loads in place. This includes chiller operation, chilled water system, AHUs, airflow management and control in data centers. Additional specific recommendations or considerations to improve energy efficiency are provided in this report.