• DocumentCode
    156967
  • Title

    Evaluating retrofit strategies for greening existing buildings by energy modelling & data analytics

  • Author

    Karkare, Anuj ; Dhariwal, Abhimanyu ; Puradbhat, Sumedh ; Jain, Manan

  • Author_Institution
    Dept. of Energy Sci. Eng., I.I.T. Bombay, Mumbai, India
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Design strategies that account for local micro-climatic conditions can reduce the overall energy consumption of buildings over its life. This paper evaluates non-structural retrofit strategies for reducing energy consumption for existing buildings. Based on real-life data on usage statistics of buildings and accounting for local climatic conditions, we validate energy consumption predictions by Sefaira® building simulation software. A comparative analysis is then performed for various energy conservation scenarios by estimating energy reduction and payback periods. Our analysis shows that various retrofit strategies can lead to reduction in energy consumption upto 60% with a pay back period of about 9 years.
  • Keywords
    buildings (structures); energy conservation; energy consumption; buildings; data analytics; energy consumption; energy modelling; energy reduction; Buildings; Cooling; Data models; Electricity; Energy consumption; Lighting; Solar heating; Energy efficiency; building design; energy modelling; retrofit; solar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/IGBSG.2014.6835192
  • Filename
    6835192