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- W2616093047 abstract "The upsurge1 in information technology (IT) has brought significant changes in people's lives. As an important part of the IT industry, Data Centres (DCs) have been rapidly growing in both the number and size over the past 40 years. Around 30% to 40% of electricity delivered into DCs are used for space cooling, thus leading to very inefficient DC operation. To identify the routes for reducing cooling loads of DCs and introduce the energy efficient cooling technologies (e.g. dew point cooling) into DCs practice, a dedicated investigation into DCs across Europe has been undertaken, with particular attention given to the capacity, space scale and energy load condition of the data centres. It is found that DCs can be generally classified into four types in terms of the power capacity, i.e., super, large, medium and small sized types. The energy saving potential in 4 types of DCs when managing cold air supply at the room level, row level, and rack level is studied and the cooling demand based on the simulated dynamic IT load is determined. In addition, Annual electricity consumption for the two kinds of air conditioning systems was compared to further explore the energy saving in DCs. This research therefore formed a foundation for the follow-on works in developing the energy efficient cooling system design." @default.
- W2616093047 created "2017-05-26" @default.
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- W2616093047 date "2017-05-16" @default.
- W2616093047 modified "2023-09-27" @default.
- W2616093047 title "Investigation of energy saving potential for data centres based on load profile" @default.
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- W2616093047 doi "https://doi.org/10.1145/3077839.3084023" @default.
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