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IT energy management or Green IT is the analysis and management of energy demand within the Information Technology department in any organization. IT energy demand accounts for approximately 2% of global CO 2 emissions, approximately the same level as aviation, [1] and represents over 10% of all the global energy consumption (over 50% of aviation's energy consumption). [2]
Literally, it measures the rate of computation that can be delivered by a computer for every watt of power consumed. This rate is typically measured by performance on the LINPACK benchmark when trying to compare between computing systems: an example using this is the Green500 list of supercomputers.
Energy consumption in Brazil increased at a slower pace, with an average annual growth rate of 0.5% between 2011 and 2021, compared to 3.3% between 2000 and 2010. Brazil continues to be one of the world's largest energy consumers, accounting for 2.0% of global consumption and 53.3% of South America’s consumption. [13]
This list of countries by electric energy consumption is mostly based on the Energy Information Administration. [2] ... Brazil: 577,000: 2021 [4] EIA: 214,326,224:
This is a list of countries by total primary energy consumption and production. 1 quadrillion BTU = 293 TW·h = 1.055 EJ 1 quadrillion BTU/yr = 1.055 EJ/yr = 293 TW·h/yr = 33.433 GW. The numbers below are for the total energy consumption or production in a whole year, so should be multiplied by 33.433 to get the average value in GW in that year.
In computing, energy proportionality is a measure of the relationship between power consumed in a computer system, and the rate at which useful work is done (its utilization, which is one measure of performance). If the overall power consumption is proportional to the computer's utilization, then the machine is said to be energy proportional. [1]
The energy intensity is the ratio of primary energy consumption over gross domestic product measured in constant US $ at purchasing power parities. In 2009, energy intensity in OECD countries remained stable at 0.15 koe/$05p, with 0.12 koe/$05p in both the European Union and Japan and 0.17 koe/$05p in the USA.
Power usage effectiveness (PUE) or power unit efficiency is a ratio that describes how efficiently a computer data center uses energy; specifically, how much energy is used by the computing equipment (in contrast to cooling and other overhead that supports the equipment).