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Hybrid Energy Systems for Computing and Electronic Industries
Published in Yatish T. Shah, Hybrid Energy Systems, 2021
A measure used to gauge the energy efficiency of data centers is called the Power Use Effectiveness (PUE). PUE is the ratio of the amount of energy used in the center by the amount to run the processors. It is a number larger than or equal to 1 and it is desirable to make it close to 1. In other words, a smaller PUE is better because it shows that smaller energy is used for operations other than running the processors. An industry analysis a decade ago found an average PUE of 2.5. An organization, known as the Uptime Institute, publishes average PUE figures for the industry. In 2009, this number was declared to be 2.5 [29]. It is encouraging that this number is actually dropping very fast. In 2011, the Uptime Institute declared the PUE for the industry to be 1.8 [30]. An Uptime Institute study in 2014 studied the PUE of cloud data centers from Google and Facebook public disclosures plus AWS internal data, all of which show PUEs under 1.2 [31]. These numbers appear to be very good, since in 2008, the Uptime Institute declared that the typical data center has an average PUE of about 2.5, but that number could be reduced to about 1.6 employing best practices [32].
Special Topics
Published in Steve Doty, Commercial Energy Auditing, 2020
PUE is a metric used to determine the energy efficiency of a data center. PUE is determined by dividing the amount of power entering a data center by the power used to run the computer infrastructure within it. PUE is therefore expressed as a ratio, with overall efficiency improving as the quotient decreases toward 1. PUE was created by members of the Green Grid, an industry group focused on data center energy efficiency. Data center infrastructure efficiency (DCIE) is the reciprocal of PUE and is expressed as a percentage that improves as it approaches 100%.
Green Cloud Computing
Published in Matthew N. O. Sadiku, Emerging Green Technologies, 2020
There are several efficiency metrics that illustrate the relationship between electricity consumption and CO2 emissions. Green Grid Consortium coined a derivation to calculate the energy productivity in data centers using Power Usage Effectiveness (PUE) and its reciprocal, data center efficiency (DCE) metrics. PUE is the ratio of the total amount of power consumed by a data center to the power consumed by IT devices, such as servers, routers, storage networking devices, etc. If the value of PUE is 1, this means that the data center is 100% energy efficient. By using the most energy-efficient technologies, cloud providers can significantly improve the PUE of their data centers.
Energy savings and usability of zero-client computing in office settings
Published in Intelligent Buildings International, 2020
Amanda Farthing, M. Rois Langner, Kim Trenbath
In addition to information technology (IT) equipment, data centers also require energy for cooling, lighting, and miscellaneous loads. A data center power usage effectiveness (PUE) indicates how efficient a data center is, and is calculated as the ratio of total power needed to run the data center facility (including power needed for space conditioning [cooling], lighting, and auxiliary plug loads) to total power drawn by all IT equipment (Lintner, Tschudi, and Van Geet 2011). PUE is calculated as follows:
Technological Development and Its Effect on IT Operations Cost and Environmental Impact
Published in International Journal of Sustainable Engineering, 2021
František Dařena, Florian Gotter
There exist several approaches to an evaluation of electrical power consumption parameters in IT operations centres. They evaluate the efficiency of power usage with the help of various metrics. One of these widely used metrics is Power Usage Effectiveness, PUE (Belady 2018). The PUE value describes the relationship between the total energy used in a data centre and the power finally used for the IT equipment: PUE = Total facility power/IT equipment power.