How DCIM tools improve PUE, reduce costs and help mitigate your carbon footprint

According to the National Resources Defense Council (NRDC), data  center electricity consumption is projected to increase to approximately 140  billion kilowatt-hours annually by 2020, the equivalent annual output of 50  power plants. The cost to American businesses? A tidy $13 billion annually.

Make no mistake, many enterprises and data center providers are  striving to reduce their carbon footprint. Switch recently announced that, as  of the first of this year, all of its SUPERNAP data centers are powered by 100%  renewable energy through its new solar facilities operating in Nevada.   Across the pond, Apple is developing two new 100% renewable energy data centers  in Ireland and Denmark.  And Facebook just launched a massive new data  center in Lulea, a town located in a remote corner of northern Sweden, that  requires 70% less mechanical cooling capacity than the average data center  because of the cool climate.

But what if your data center is located in Houston or Rio de  Janeiro? Fortunately there exists a viable solution to achieve improved Power  Usage Effectiveness (PUE), and reduce costs associated with cooling and power  while mitigating a facility’s carbon footprint. Data Center Infrastructure  Management (DCIM) are software and technology products that converge IT and  building facilities functions to provide engineers and administrators with a  holistic view of a data center's performance to ensure that energy, equipment  and floor space are used as efficiently as possible.

In large data centers, where electrical energy billing comprises  a large portion of the cost of operation, the insight these software platforms  provide into power and thermal management accrue directly to an organization’s  bottom line.

In order to take appropriate actions, data center managers need  accurate intel concerning power consumption, thermals, airflow and utilization.  One wouldn’t think this is the realm of MS Excel spreadsheets and Stanley tape  measures. However, a recent study by Intel DCM and Redshift Research found that  four in 10 data center managers in 200 facilities surveyed in the U.S. and the  UK still rely on these Dark Age tools to initiate expansion or layout changes.

The good news is that DCIM provides increased levels of  automated control that empowers data center managers to receive timely information  to manage capacity planning and allocations, as well as cooling efficiency. By  deploying thermal-management middleware, for example, improvements in airflow  management can reduce energy consumption by 40%. Data center managers can  also drive a stake through the problem of zombie servers by consolidating  servers to reduce energy consumption from 10% to 40%.

Modern data centers maintain a stable operating environment for  servers by implementing stringent temperature controls, which, paradoxically,  also makes it possible to apply various energy-saving and eco-friendly measures  in a centralized manner. A DCIM system that offers simulations integrating  real-time monitoring information to allow for continuous improvements and  validation of cooling strategy and air handling choices can have a direct  impact on the bottom line.

Somewhat counter-intuitively, raising internal temperatures in  data centers can save annually upwards of 100K per temperature degree  without degrading service levels or reducing hardware lifespan. And by  deploying various other innovative cooling technologies, facilities can expend  up to 95% less energy.

Utilizing DCIM real-time data analysis tools, along with  maintaining an active server refresh schedule, can effectively combat runaway  energy consumption. The combination of processor improvement with feature rich  intuitive dashboards that recognize imbalances in cooling and identify  underutilized servers, can sometimes reveal a profligate energy consumer right  under an administrator’s nose.

Replacing an older server with today’s advanced technology and  using DCIM to identify underutilized systems can reduce energy need by 30%.  Considering the four-year life expectancy of a server, this will save up to  $480. While that figure might not seem too significant, the numbers get  significant if you have thousands of servers.