• DocumentCode
    1912849
  • Title

    Sustainable data centers powered by renewable energy

  • Author

    Klein, Levente J. ; Bermudez, Sergio ; Wehle, Hans-Dieter ; Barabasi, Stephan ; Hamann, Hendrik F.

  • Author_Institution
    IBM TJ Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2012
  • fDate
    18-22 March 2012
  • Firstpage
    362
  • Lastpage
    367
  • Abstract
    The energy consumption of data centers (DCs) has dramatically increased in recent years, primarily due to the massive computing demands driven by communications, banking, online retail, and entertainment services. In today´s data centers, the cooling and infrastructure operations require almost the same energy as the IT operations. The large energy consumption in data centers prompted government agencies, industries, professional organizations, and academic institutions to investigate sustainable growth paths. We discuss such scenarios based on current trends and projections and propose the required innovations to achieve a 10 fold increase in “performance per Watt” of IT operations. We discuss three possible technology components that would improve the operational performance of data centers: (1) integration of renewable energy sources (2) increasing energy efficiency through IT consolidation and workload optimization, and (3) multifunctional sensor networks for better cooling and infrastructure management. We discuss the key requirements and how these technologies can be combined to achieve a sustainable path.
  • Keywords
    computer centres; cooling; energy consumption; renewable energy sources; thermal management (packaging); academic institutions; computing demands; cooling; data centers; energy consumption; government agencies; industries; infrastructure management; infrastructure operations; multifunctional sensor networks; professional organizations; renewable energy sources; workload optimization; Cameras; Humidity; Industries; Numerical models; Reliability; Streaming media; US Department of Energy; IT scaling; Solar energy; advanced control; air side economizer; data center; energy forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM), 2012 28th Annual IEEE
  • Conference_Location
    San Jose, CA
  • ISSN
    1065-2221
  • Print_ISBN
    978-1-4673-1110-6
  • Electronic_ISBN
    1065-2221
  • Type

    conf

  • DOI
    10.1109/STHERM.2012.6188874
  • Filename
    6188874