• DocumentCode
    1606216
  • Title

    Near term computing opportunities in building energy efficiency

  • Author

    Roth, Amir

  • Author_Institution
    Dept. of Energy, Office of Energy Efficiency & Renewable Energy, Washington, DC, USA
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Computing is poised to make major contributions to the global sustainability effort by engaging the fields of energy efficiency, renewable energy generation, and energy delivery. This paper discusses three near term opportunities for computing in the field of building energy efficiency. Integrated design uses building energy modeling to search for ultra-efficient buildings tailored to use requirements and climate. Continuous commissioning uses sensing, learning, and model to detect and diagnose mechanical system faults that degrade building energy performance. Computing can also be used to engage building occupants and modify their energy consumption habits.
  • Keywords
    building management systems; energy conservation; energy consumption; energy management systems; fault diagnosis; human factors; learning (artificial intelligence); building energy efficiency; building energy performance degradation; building occupants; continuous commissioning; energy consumption habits; energy delivery; global sustainability; integrated design; learning; mechanical system fault detection; mechanical system fault diagnosis; near-term computing opportunities; renewable energy generation; sensing; ultra-efficient buildings; Buildings; Computers; Energy consumption; Plugs; Renewable energy resources; Sensors; Space heating; Building energy efficiency; continuous commissioning; integrated design; occupant engagement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Conference (IGCC), 2012 International
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4673-2155-6
  • Electronic_ISBN
    978-1-4673-2153-2
  • Type

    conf

  • DOI
    10.1109/IGCC.2012.6322268
  • Filename
    6322268