• DocumentCode
    3733766
  • Title

    Spatio-temporal energy profiling of commercial buildings

  • Author

    Rohit Chintala;Vikas Chandan Sunil K. Ghai;Zainul M. Charbiwala;Deva P. Seetharam

  • Author_Institution
    IBM Research India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Heating, ventilation and air-conditioning (HVAC) systems account for a significant portion of the energy consumed in commercial buildings. In this paper, an energy profiling methodology in a spatio-temporal framework is proposed through the development of a metric (called STEM) to gauge the performance of the HVAC systems. The metric takes into consideration both occupants´ comfort and energy consumption, and is based on system identification approaches to find thermodynamic coefficients from measured data. It can be computed purely from data available through building management systems (BMS). The proposed methodology when tested in simulation, provided key spatial and temporal insights on the HVAC performance.
  • Keywords
    "Buildings","Computational modeling","Steady-state","Yttrium"
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative
  • Electronic_ISBN
    2378-8542
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2015.7387185
  • Filename
    7387185