In the spring of 2007, UPS's Ben Swanson and Joe Parrino attended a conference on the growing problem of datacenter power consumption. One suggested remedy was to benchmark and analyze the power flowing through the datacenter. So after the conference, Swanson, the facilities department manager, and Parrino, a datacenter facilities manager, profiled their two main datacenters to learn what they could do to increase their energy efficiency and, ultimately, save money. More on CIO.com Five Ways to Find Data Center Energy Savings Good Incentives Boost Data-Center Energy Efficiency Signposts on the Road to Data Center Energy Savings
They found one crucial area to improve: their 65 computer-room air handlers. Parrino and his team found that some of their power distribution units had perforated tops. "We were losing all sorts of air through the tops of the cabinets," he says, which meant that some of the cool air circulated by the air handlers was being wasted by cooling the PDUs. They restricted the air flow through the cabinets, tested to make sure they wouldn't overheat, then turned 24 air handlers off.
[ Keep up on green IT trends with InfoWorld's Sustainable IT blog and Green Tech newsletter. ]
The move has saved UPS 1.6 million kilowatt-hours and about $124,160 per year. And that's not all -- they also benchmarked their mechanical cooling system and were able to reduce its energy use, saving an additional $100,000 annually. The mechanical plant of these UPS datacenters consumes about half what a typical datacenter mechanical plant consumes, according to their benchmarking study, Parrino says.
Despite the potential for savings, however, most IT departments have not rushed to benchmark datacenter energy efficiency, primarily because there's no incentive to measure it, says Forrester analyst Doug Washburn. He notes that only 11 percent of IT organizations are responsible for paying their energy-related operating costs (the power bill typically goes to the facilities group). But that's changing: More CIOs are being asked to reduce energy consumption, Washburn has found, and, as a result, new metrics -- though they come with caveats -- appear to help pinpoint which areas of your datacenter can be optimized.
Two ways to benchmark
One such method of measuring energy efficiency, developed recently by the Uptime Institute, a datacenter research organization, is Corporate Average Datacenter Efficiency (CADE). This calculation multiplies the efficiency of one's technology by the efficiency of the physical facility. Uptime calculates IT efficiency by multiplying a datacenter's IT asset utilization rate by the energy efficiency of the servers. It determines the facility efficiency by calculating the amount of space used and multiplying that by the energy efficiency of the building. The higher the CADE number, the more efficient your datacenter. This method tends to be best-suited for larger businesses since those usually have the automated monitoring tools to measure server utilization, according to Uptime Institute's Executive Director Kenneth Brill.
Get the independent advice and expertise you need to support a virtual workforce.
The increase in Linux popularity has increased the frequency and sophistication of malware attacks. Read this 2 page white paper now to learn how you can protect your Linux environment with real-time protection that is certified by all major Linux vendors.
Download now »Ensuring acceptable application delivery will become even more difficult over the next few years. As a result, IT organizations need to ensure that the approach that they take to resolving the current application delivery challenges can scale to support the emerging challenges. This handbook elaborates on the key tasks associated with planning, optimization, management and control and provides decision criteria to help IT organizations choose appropriate solutions.
Download now »A common misconception is that mid-range storage requirements are dramatically different than that of a larger enterprise. Mid-range storage users may require less capacity, but they have similar functionality and management requirements. This ESG paper examines mid-range storage needs and reviews a new solution that adjusts size while retaining value, performance and functionality.
Download now »
