Ashrae Journal - November 2008 - (Page 23)

Lowest Power Processor High-Efficiency Power Supplies Blade Servers Power Management Virtualization Lowest Power Processor High-Efficiency Power Supply Power Management Consider Mainframe Architecture 24-Hour Operations Cooling Best Practices Variable Capacity Cooling Supplemental Cooling 415V AC Distribution Monitoring and Optimization Daylight Operations Power Management Low Power Processor High-Efficiency Power Supplies Blade Servers Virtualization Power Management Low Power Processor High-Efficiency Power Supplies I/O Intensive Compute Intensive Figure 5: The sequential approach can be tailored to the compute load and type of operation. supplemental cooling while the remaining 40 racks (at 3.2 kW density) are supported by the traditional room cooling system. This creates an incremental 6% reduction in overall data center energy costs. As the facility evolves and more racks move to high density, the savings will increase. 10. Monitoring and optimization. One of the consequences of rising equipment densities has been increased diversity within the data center. Rack densities are rarely uniform across a facility and this can create cooling inefficiencies if monitoring and optimization is not implemented. Room cooling units on one side of a facility may be humidifying the environment based on local conditions while units on the opposite side of the facility are dehumidifying. Cooling control systems can monitor conditions across the data center and coordinate the activities of multiple units to prevent conflicts and increase teamwork. In the model, an incremental saving of 1% is achieved as a result of system-level monitoring and control. Benefit of Following This Approach This sequential approach quantifies the savings that can be achieved through each of these actions individually and as part of the sequence (Figure 4). Note that savings for supply-side systems November 2008 look smaller when taken as part of the approach because those systems are now supporting a smaller load. Employing this Energy Logic approach to the data center model reduced energy use by 52% without compromising performance or availability. In its unoptimized state, the 5,000 ft2 data center model supported a total compute load of 588 kW and total facility load of 1127 kW. Through various optimization strategies, this facility has been transformed to enable the same level of performance using significantly less power and space. Total compute load was reduced to 367 kW, while rack density was increased on average from 2.8 kW per rack to 6.1 kW per rack. This has reduced the number of racks required to support the compute load from 210 to 60 and eliminated power, cooling and space limitations constraining growth. Total energy consumption was reduced to 542 kW and the total floor space required for IT equipment was reduced by 65%. This sequential approach to reducing energy consumption is suitable for every type of data center; however, the sequence may be affected by facility type. Facilities operating at high utilization rates throughout a 24-hour day will want to focus initial efforts on sourcing IT equipment with low power processors and www.info.hotims.com/16019-17 ASHRAE Journal 23 http://www.dedietrichboilers.com http://www.dedietrichboilers.com http://www.info.hotims.com/16019-17

Table of Contents Feed for the Digital Edition of Ashrae Journal - November 2008

Ashrae Journal - November 2008 Contents Commentary Industry News Meetings and Shows Feature Articles Reducing Data Center Energy Consumption Building Sciences Feature Articles Sustainable Nature Center Emerging Technologies Special Products Washington Report Special Supplement: BACnet® Today BACnet® Goes Green Seeing the Light with BACnet® BACnet® on Campus BACnet® for Net Zero Analyzing BACnet® BACnet® at Xerox Campus BACnet® in Europe BACnet® for Green Library BACnet® at the University of Minnesota: Flexibility, Interoperability InfoCenter Product Showplace Classified Advertising Advertising Index

Ashrae Journal - November 2008

For optimal viewing of this digital publication, please enable JavaScript and then refresh the page. If you would like to try to load the digital publication without using Flash Player detection, please click here.