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Work item:
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L.Suppl.dces
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Subject/title:
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Data center energy saving: Application of AI technology in improving energy efficiency of telecom equipment rooms and internet data center infrastructure
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Status:
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[Carried to next study period]
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Approval process:
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Agreement
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Type of work item:
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Supplement
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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-
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Supporting members:
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-
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Summary:
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Telecom Equipment Rooms and Internet Data Center (IDC) Infrastructure is a datacenter that contains a huge number of Information and Communication equipment. In order to keep the equipment running continuously and reliably for a long time, the room is necessarily equipped with air-conditioners to create an environment suitable for equipment operation. Nevertheless, it will cause a large amount of energy consumption and carbon emissions. This Supplement focuses on the application of AI technology and other emerging technologies such as digital twin technology, to improve the energy efficiency and reduce the carbon emissions of those telecom rooms and IDC infrastructures.
Most of the existing equipment rooms do not have the full ability to identify indoor temperature distribution. Therefore, it is difficult to analyse the power consumption in real-time and make appropriate adjustments timely. Consequently, it leads to unnecessary consumption of energy. This Supplement will address how AI-based power management can achieve the following capabilities:
• Data collections in telecom equipment rooms and IDC infrastructure;
• Real-time analysis of the historical power consumption and parameters of the target equipment room;
• The ability of training an intelligent model; and
• Making reasonable adjustments timely to the air-conditioning and temperature, so as to achieve energy saving in the equipment rooms and IDC infrastructure.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2021-12-13 20:59:04
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Last update:
2021-12-16 11:26:00
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