With 24-7 operating hours, it is no surprise that data centers are some of the most energy-consuming facilities in the world. For a corporation like Google that operates multiple large scale data facilities, energy expenditure can be as great as 5 million mega-watt hours per year. With electricity usage in data centers on the rise, many companies are turning to energy efficiency as a means of saving on energy spending. Improving server farm efficiency can be achieved in a number of ways: replacing old equipment, updating microprocessors and cooling fans, installing waterside economizers, and using more efficient storage devices to name a few.
Google–like a growing number of business community leaders–understands that the business case for energy efficiency and sustainability is as strong as the environmental case, and new opportunities for energy savings and efficiencies can always be found or developed. Just this year, the software company did something that had not been done before: they employed robots to manage over 120 data center variables including fans, cooling systems, and windows. With artificial intelligence at the helm, Google saw a 15% improvement in power-usage efficiency, saving millions of mega-watt hours. Whether your company prefers robots or latest efficiency upgrades in your data center or facility, energy efficiency measures are vital to reducing energy spending in our increasingly data-centric society. Even if you have undertaken energy efficiency upgrade projects, Google is demonstrating that there is always more that can be done and new ways to do it. With performance-based efficiency financing solutions, you don’t have to pay for the upfront costs of the next frontier. It is time to do more… Click the link to read more about Google’s artificial intelligence system