Data center'ue'indicators.
PUEPUE stands for "Power Usage Effectiveness," and it is a metric used to evaluate the energy efficiency of a data center or IT facility. It was launched by The Green Grid, a non-profit coalition dedicated to improving the energy efficiency of data centers and commercial computing ecosystems. PUE is calculated by dividing the total power consumed by the data center by the power consumed by the IT equipment within the data center. The formula for calculating PUE is as follows:
PUE = Total Facility Power IT Equipment Power.
Total facility power refers to the total amount of energy consumed by a data center, including cooling, lighting, power distribution losses, and other non-IT equipment loads.
IT equipment power refers to the energy consumed by servers, storage devices, network equipment, and other computing infrastructure within a data center.
The ideal PUE value is 1, which means that all the power consumed is used exclusively by the IT equipment and no energy is wasted on non-IT functions. In practice, however, achieving a PUE of exactly 1 is challenging due to the need for cooling and other supporting infrastructure.
A PUE value greater than 1 indicates that a significant portion of the total power consumption is used for non-IT purposes, which means that it is less energy efficient. As a result, data center operators strive to achieve low PUE values to minimize energy waste and reduce operating costs while reducing environmental impact. According to the requirements of the Ministry of Industry and Information Technology, by the end of 2023, the PUE of new large-scale data centers will be reduced to 1Below 3, severe cold and cold areas strive to reduce to 125 or less. In Beijing, the control is even stricter, and the minimum value is close to 115。
Wuewue stands for "Water Use Efficiency" and it is a metric used to evaluate the water efficiency of a data center or IT facility. Similar to PUE, WUE was introduced by Green Grid as part of their efforts to promote data center sustainability and resource conservation. The WUE metric measures the amount of water used for various purposes in a data center relative to the power consumption of IT equipment. The formula for wue is as follows:
WUE = Total Water Consumption of the Facility IT Equipment Power.
Total facility water usage refers to the amount of water consumed by a data center, including water used for cooling systems, humidification, and other non-potable water purposes.
IT equipment power refers to the energy consumed by servers, storage devices, network equipment, and other computing infrastructure.
As with PUE, WUE's goal is to achieve lower values. A lower WUE indicates that data centers are using water more efficiently to support their operations. However, it is important to consider local water availability and environmental impacts, as optimizing very low WUE may not always be feasible or sustainable in water-scarce areas.
Data center operators and organizations concerned about environmental sustainability are committed to improving their WUE by implementing water-efficient cooling systems, **water, and optimizing the facility's water usage to minimize their water footprint and operate more responsibly in terms of water resources.
In 2021, carbon peak and carbon neutrality were written into the ** work report for the first time. CUE (Carbon Utilization Efficiency Indicator), which measures the amount of carbon used by a data center on a daily basis. The most perfect cue value is 00, which means that no carbon emissions are generated in the data center operations.
IUE In order to comprehensively evaluate the utilization of infrastructure resources in data centers: Infrastructure Utilization Efficiency (IUE
IUE mainly covers five infrastructure resource elements: power consumption**, power allocation, cooling capacity, and the number of U-bits in the rack, which are calculated as follows:
iue=Resource Consumption Design capacity.
It provides a set of methods** to guide data center users to improve the utilization of data center infrastructure from the above five aspects, so as to build an efficient data center and ultimately reduce the total cost of ownership (TCO).