The effect of data center temperature on energy efficiency

被引:109
|
作者
Patterson, Michael K. [1 ]
机构
[1] Intel Corp, Hillsboro, OR 97124 USA
关键词
server; thermal management; fan power; economizer; PUE; energy efficiency; room temperature;
D O I
10.1109/ITHERM.2008.4544393
中图分类号
O414.1 [热力学];
学科分类号
摘要
Server's capabilities are increasing at or beyond the rate of performance improvement gains predicted by Moore's Law for the silicon itself. The challenge for the Information Technology (IT) owner is housing and operating all of this computational power in the Data Center. With more computational power in each unit volume, the industry is experiencing a significant increase in power density and hence a greater cooling challenge. The ability to now tackle computational tasks that were previously unattainable has driven energy costs to new levels. Methods to reduce the energy used in cooling these machines are being studied throughout the industry. One of the areas being considered is increasing the Data Center server ambient inlet temperature. ASHRAE [1] suggests a recommended limit of 20 - 25 degrees C for the most advanced Data Centers. There is a belief that operating at the high end of this range or above it will reduce the total power use in the Data Center by making the cooling system more efficient. A thermodynamic analysis clearly indicates that increasing the temperature of the high temperature heat source, while holding the lower temperature heat sink constant, will give an efficiency gain to the heat removal from the system. Unfortunately the simple model does not capture all of the components of the overall system and may lead to an erroneous conclusion. In fact, increasing the ambient temperature can lead to an increase in power usage of some components and systems in the Data Center as temperature goes up. The overall room energy use may only go down marginally or may even go up at warmer temperatures. In this paper we examine the complete energy picture from the utility connection to the rejection of heat from the facility to the outdoor environment and look at the impact an increased ambient temperature will have on each component in that chain. This analysis indicates that there is an optimum temperature for Data Center operation that will depend on each Data Center's individual characteristics, include IT equipment, cooling system architecture, Data Center location (e.g. outside ambient conditions), as well as other factors. Additional impacts of an increasing ambient inlet temperature, such as reliability issues and operational complexity are also discussed. It is concluded that simply raising the ambient temperature in the Data Center may not have the desired effect of energy use reduction.
引用
收藏
页码:1167 / 1174
页数:8
相关论文
共 50 条
  • [1] Smart Temperature Monitoring for Data Center Energy Efficiency
    Qu, Junmei
    Li, Li
    Liu, Liang
    Tian, Yuelong
    Chen, Jiming
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS (SOLI), 2013, : 360 - 365
  • [2] Data center energy efficiency
    Grbic, Aleksandar
    [J]. ABB Review, 2022, (03): : 40 - 45
  • [3] Network Energy Efficiency in the Data Center
    Bennett, Michael J.
    [J]. 2013 OPTICAL FIBER COMMUNICATION CONFERENCE AND EXPOSITION AND THE NATIONAL FIBER OPTIC ENGINEERS CONFERENCE (OFC/NFOEC), 2013,
  • [4] Data Center Energy Efficiency: Improving Energy Efficiency in Data Centers Beyond Technology Scaling
    Chong, Frederic T.
    Saleh, Adel A. M.
    Heck, Martijn J. R.
    Ranganathan, Parthasarathy
    Wassel, Hassan M. G.
    [J]. IEEE DESIGN & TEST, 2014, 31 (01) : 93 - 104
  • [5] On Energy Efficiency for Enterprise and Data Center Networks
    Mahadevan, Priya
    Banerjee, Sujata
    Sharma, Puneet
    Shah, Amip
    Ranganathan, Parthasarathy
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2011, 49 (08) : 94 - 100
  • [6] Energy efficiency dependency analysis for a data center
    [J]. Dumitru, I. (iulia.dumitru@aii.pub.ro), 1600, Springer Verlag (187 AISC):
  • [7] Data center workload placement for energy efficiency
    Bash, Cullen
    Forman, George
    [J]. IPACK 2007: PROCEEDINGS OF THE ASME INTERPACK CONFERENCE 2007, VOL 1, 2007, : 733 - 741
  • [8] Energy Efficiency Measurements of Data Center Systems
    Horalek, J.
    Matyska, J.
    Sobeslav, V.
    Suba, P.
    [J]. 2014 ELEKTRO, 2014, : 41 - 45
  • [9] A survey on architectures and energy efficiency in Data Center Networks
    Hammadi, Ali
    Mhamdi, Lotfi
    [J]. COMPUTER COMMUNICATIONS, 2014, 40 : 1 - 21
  • [10] Optics in Data Center: Improving Scalability and Energy Efficiency
    Cerutti, I.
    Andriolli, N.
    Raponi, P. G.
    Castoldi, P.
    Liboiron-Ladouceur, O.
    [J]. 2014 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), 2014,